Slide
Centre Interdisciplinaire
de Recherche et d’Innovation
en Cybersécurité et Société
de Recherche et d’Innovation
en Cybersécurité et Société
1.
Valem, L. P.; Pedronette, D. C. G.; Allili, M. S.
Contrastive Loss Based on Contextual Similarity for Image Classification Article d'actes
Dans: G., Bebis; V., Patel; J., Gu; J., Panetta; Y., Gingold; K., Johnsen; M.S., Arefin; S., Dutta; A., Biswas (Ed.): Lect. Notes Comput. Sci., p. 58–69, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-303177391-4 (ISBN), (Journal Abbreviation: Lect. Notes Comput. Sci.).
Résumé | Liens | BibTeX | Étiquettes: Adversarial machine learning, Classification accuracy, Contrastive Learning, Cross entropy, Experimental evaluation, Federated learning, Image classification, Image comparison, Image embedding, Images classification, Model generalization, Model robustness, Neighborhood information, Self-supervised learning, Similarity measure
@inproceedings{valem_contrastive_2025,
title = {Contrastive Loss Based on Contextual Similarity for Image Classification},
author = {L. P. Valem and D. C. G. Pedronette and M. S. Allili},
editor = {Bebis G. and Patel V. and Gu J. and Panetta J. and Gingold Y. and Johnsen K. and Arefin M.S. and Dutta S. and Biswas A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218461565&doi=10.1007%2f978-3-031-77392-1_5&partnerID=40&md5=cf885303646c3b1a4f4eacb87d02a2b6},
doi = {10.1007/978-3-031-77392-1_5},
isbn = {03029743 (ISSN); 978-303177391-4 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15046 LNCS},
pages = {58–69},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Contrastive learning has been extensively exploited in self-supervised and supervised learning due to its effectiveness in learning representations that distinguish between similar and dissimilar images. It offers a robust alternative to cross-entropy by yielding more semantically meaningful image embeddings. However, most contrastive losses rely on pairwise measures to assess the similarity between elements, ignoring more general neighborhood information that can be leveraged to enhance model robustness and generalization. In this paper, we propose the Contextual Contrastive Loss (CCL) to replace pairwise image comparison by introducing a new contextual similarity measure using neighboring elements. The CCL yields a more semantically meaningful image embedding ensuring better separability of classes in the latent space. Experimental evaluation on three datasets (Food101, MiniImageNet, and CIFAR-100) has shown that CCL yields superior results by achieving up to 10.76% relative gains in classification accuracy, particularly for fewer training epochs and limited training data. This demonstrates the potential of our approach, especially in resource-constrained scenarios. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.},
note = {Journal Abbreviation: Lect. Notes Comput. Sci.},
keywords = {Adversarial machine learning, Classification accuracy, Contrastive Learning, Cross entropy, Experimental evaluation, Federated learning, Image classification, Image comparison, Image embedding, Images classification, Model generalization, Model robustness, Neighborhood information, Self-supervised learning, Similarity measure},
pubstate = {published},
tppubtype = {inproceedings}
}
Contrastive learning has been extensively exploited in self-supervised and supervised learning due to its effectiveness in learning representations that distinguish between similar and dissimilar images. It offers a robust alternative to cross-entropy by yielding more semantically meaningful image embeddings. However, most contrastive losses rely on pairwise measures to assess the similarity between elements, ignoring more general neighborhood information that can be leveraged to enhance model robustness and generalization. In this paper, we propose the Contextual Contrastive Loss (CCL) to replace pairwise image comparison by introducing a new contextual similarity measure using neighboring elements. The CCL yields a more semantically meaningful image embedding ensuring better separability of classes in the latent space. Experimental evaluation on three datasets (Food101, MiniImageNet, and CIFAR-100) has shown that CCL yields superior results by achieving up to 10.76% relative gains in classification accuracy, particularly for fewer training epochs and limited training data. This demonstrates the potential of our approach, especially in resource-constrained scenarios. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
2.
Ørskov, P. T.; Runge, E.; Sainte-Marie, T. T. H.; Ernst, M. T.; Clemmensen, L.; Dalsgaard, C. H.; Lichtenstein, M. B.; Bouchard, S.
Virtual reality-based exposure with 360° video as part of cognitive behavioral therapy for social anxiety disorder: a three-arm randomized controlled trial Article de journal
Dans: Frontiers in Virtual Reality, vol. 6, 2025, ISSN: 26734192 (ISSN), (Publisher: Frontiers Media SA).
Résumé | Liens | BibTeX | Étiquettes: 360° video, cognitive behavioral therapy, exposure, randomized controlled trial, social anxiety disorder, virtual reality
@article{orskov_virtual_2025,
title = {Virtual reality-based exposure with 360° video as part of cognitive behavioral therapy for social anxiety disorder: a three-arm randomized controlled trial},
author = {P. T. Ørskov and E. Runge and T. T. H. Sainte-Marie and M. T. Ernst and L. Clemmensen and C. H. Dalsgaard and M. B. Lichtenstein and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009844371&doi=10.3389%2ffrvir.2025.1588181&partnerID=40&md5=05dc996dceefc02747d099f6dcaed3ad},
doi = {10.3389/frvir.2025.1588181},
issn = {26734192 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Frontiers in Virtual Reality},
volume = {6},
abstract = {Background: Social anxiety disorder (SAD) has a high prevalence and an early onset. It often persists well into adulthood, turning into a chronic disorder. Cognitive behavioral therapy (CBT) is effective in treating SAD, but real-life exposure conducted as part of CBT is often costly and time-consuming, and imaginary exposure might lack realism and intensity. Virtual reality (VR)-based exposure using 360° video offers a promising way to deliver exposure therapy. Objective: To develop a complete psychotherapeutic treatment program including CBT with VR-based exposure using 360° videos (CBT-ExpVR) for adult patients with SAD and to test the treatment effect using the Social Interaction Anxiety Scale (SIAS) as the primary outcome. Methods: This three-arm randomized controlled trial involved 51 participants who were recruited through self-referral. The interventions took place at Center for Digital Psychiatry in Denmark. Participants were randomized via computer program to CBT-ExpVR, CBT with in vivo exposure (CBT-Exp), or an active control group offered VR relaxation (RlxVR). Afterwards, participants assigned to RlxVR were re-randomized to one of the two CBT interventions. Allocation was not blinded. Results: Intention-to-treat analysis showed that participants receiving CBT-ExpVR reported significantly fewer symptoms of social anxiety at post-treatment compared to pre-treatment, β = −14.89, 95% CI (−18.64, −11.14), p < 0.0001. At post-treatment, no difference in treatment effect was found between CBT-ExpVR and CBT-Exp, β = 3.643, 95% CI (−1.727, 9.013)},
note = {Publisher: Frontiers Media SA},
keywords = {360° video, cognitive behavioral therapy, exposure, randomized controlled trial, social anxiety disorder, virtual reality},
pubstate = {published},
tppubtype = {article}
}
Background: Social anxiety disorder (SAD) has a high prevalence and an early onset. It often persists well into adulthood, turning into a chronic disorder. Cognitive behavioral therapy (CBT) is effective in treating SAD, but real-life exposure conducted as part of CBT is often costly and time-consuming, and imaginary exposure might lack realism and intensity. Virtual reality (VR)-based exposure using 360° video offers a promising way to deliver exposure therapy. Objective: To develop a complete psychotherapeutic treatment program including CBT with VR-based exposure using 360° videos (CBT-ExpVR) for adult patients with SAD and to test the treatment effect using the Social Interaction Anxiety Scale (SIAS) as the primary outcome. Methods: This three-arm randomized controlled trial involved 51 participants who were recruited through self-referral. The interventions took place at Center for Digital Psychiatry in Denmark. Participants were randomized via computer program to CBT-ExpVR, CBT with in vivo exposure (CBT-Exp), or an active control group offered VR relaxation (RlxVR). Afterwards, participants assigned to RlxVR were re-randomized to one of the two CBT interventions. Allocation was not blinded. Results: Intention-to-treat analysis showed that participants receiving CBT-ExpVR reported significantly fewer symptoms of social anxiety at post-treatment compared to pre-treatment, β = −14.89, 95% CI (−18.64, −11.14), p < 0.0001. At post-treatment, no difference in treatment effect was found between CBT-ExpVR and CBT-Exp, β = 3.643, 95% CI (−1.727, 9.013)
3.
Larochelle, S.; Dugas, M. J.; Langlois, F.; Gosselin, P.; Belleville, G.; Bouchard, S.
Intolerance of Uncertainty and Emotion Dysregulation as Predictors of Generalized Anxiety Disorder Severity in a Clinical Population Article de journal
Dans: Journal of Clinical Medicine, vol. 14, no 5, 2025, ISSN: 20770383 (ISSN), (Publisher: Multidisciplinary Digital Publishing Institute (MDPI)).
Résumé | Liens | BibTeX | Étiquettes: adult, aged, article, Beck Depression Inventory, clinical population, comorbidity, controlled study, Depression, difficulties in emotion regulation scale, disease severity, emotion, emotion dysregulation, emotion regulation, employment status, female, generalized anxiety disorder, human, intolerance of uncertainty, Intolerance of Uncertainty Scale, major clinical study, male, patient worry, penn state worry questionnaire, prediction, predictive model, psychotherapy, Severity of Illness Index, sociodemographics, theoretical model
@article{larochelle_intolerance_2025,
title = {Intolerance of Uncertainty and Emotion Dysregulation as Predictors of Generalized Anxiety Disorder Severity in a Clinical Population},
author = {S. Larochelle and M. J. Dugas and F. Langlois and P. Gosselin and G. Belleville and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000587548&doi=10.3390%2fjcm14051502&partnerID=40&md5=ea6c43194a821d0a0623385714231936},
doi = {10.3390/jcm14051502},
issn = {20770383 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Journal of Clinical Medicine},
volume = {14},
number = {5},
abstract = {Background/objectives: Several factors have been shown to play a role in the development and maintenance of generalized anxiety disorder (GAD), including intolerance of uncertainty and emotion dysregulation. Although the individual contribution of both of these factors is well documented, their combined effect has yet to be studied in a clinical population with GAD. The aim of the present study was to examine the relative contribution of intolerance of uncertainty and emotion dysregulation to the prediction of worry and GAD severity in adults with GAD. Methods: The sample consisted of 108 participants diagnosed with GAD. The participants completed measures of worry, GAD severity, depressive symptoms, intolerance of uncertainty, and emotion dysregulation. Results: Multiple regression indicated that both intolerance of uncertainty and emotion dysregulation significantly contributed to both worry and GAD severity, over and above the contribution of depressive symptoms. Of note, the model explained 36% of the variance in GAD severity scores. Conclusions: The present results provide preliminary evidence of complementarity among dominant models of GAD, and point to the potential role of integrative conceptualizations and treatment strategies for GAD. © 2025 by the authors.},
note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},
keywords = {adult, aged, article, Beck Depression Inventory, clinical population, comorbidity, controlled study, Depression, difficulties in emotion regulation scale, disease severity, emotion, emotion dysregulation, emotion regulation, employment status, female, generalized anxiety disorder, human, intolerance of uncertainty, Intolerance of Uncertainty Scale, major clinical study, male, patient worry, penn state worry questionnaire, prediction, predictive model, psychotherapy, Severity of Illness Index, sociodemographics, theoretical model},
pubstate = {published},
tppubtype = {article}
}
Background/objectives: Several factors have been shown to play a role in the development and maintenance of generalized anxiety disorder (GAD), including intolerance of uncertainty and emotion dysregulation. Although the individual contribution of both of these factors is well documented, their combined effect has yet to be studied in a clinical population with GAD. The aim of the present study was to examine the relative contribution of intolerance of uncertainty and emotion dysregulation to the prediction of worry and GAD severity in adults with GAD. Methods: The sample consisted of 108 participants diagnosed with GAD. The participants completed measures of worry, GAD severity, depressive symptoms, intolerance of uncertainty, and emotion dysregulation. Results: Multiple regression indicated that both intolerance of uncertainty and emotion dysregulation significantly contributed to both worry and GAD severity, over and above the contribution of depressive symptoms. Of note, the model explained 36% of the variance in GAD severity scores. Conclusions: The present results provide preliminary evidence of complementarity among dominant models of GAD, and point to the potential role of integrative conceptualizations and treatment strategies for GAD. © 2025 by the authors.
4.
Richer, A.; Gingras, F.; Plouffe-Demers, M. -P.; Fiset, D.; Blais, C.
Is It Pain, Anger, Disgust, or Sadness? Individual Differences in Expectations of Pain Facial Expressions Article de journal
Dans: Emotion, 2025, ISSN: 15283542 (ISSN), (Publisher: American Psychological Association).
Résumé | Liens | BibTeX | Étiquettes: facial expressions confusion, Individual differences, mental representation, pain facial expression, Reverse correlation
@article{richer_is_2025,
title = {Is It Pain, Anger, Disgust, or Sadness? Individual Differences in Expectations of Pain Facial Expressions},
author = {A. Richer and F. Gingras and M. -P. Plouffe-Demers and D. Fiset and C. Blais},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002303060&doi=10.1037%2femo0001516&partnerID=40&md5=3f1a8aa2bb0a38679b6fe7d354b216a2},
doi = {10.1037/emo0001516},
issn = {15283542 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Emotion},
abstract = {Humans rely on facial expressions to assess others’ affective states. However, pain facial expressions are poorly recognized and are often confused with other negative affective states, such as anger, disgust, sadness, and fear. Previous research has shown that individuals’ expectations about the appearance of pain facial expressions are not optimal and do not perfectly reflect the facial features typically observed in individuals expressing pain. In the present study, we verified if expectations about pain facial expressions are also suboptimal by overlapping with other affective states. We relied on two published data sets (data collected between 2017 and 2020) containing images representing the expectations of the appearance of pain facial expressions according to 162 White participants. We then asked an independent group of White participants (N = 60, 30 women},
note = {Publisher: American Psychological Association},
keywords = {facial expressions confusion, Individual differences, mental representation, pain facial expression, Reverse correlation},
pubstate = {published},
tppubtype = {article}
}
Humans rely on facial expressions to assess others’ affective states. However, pain facial expressions are poorly recognized and are often confused with other negative affective states, such as anger, disgust, sadness, and fear. Previous research has shown that individuals’ expectations about the appearance of pain facial expressions are not optimal and do not perfectly reflect the facial features typically observed in individuals expressing pain. In the present study, we verified if expectations about pain facial expressions are also suboptimal by overlapping with other affective states. We relied on two published data sets (data collected between 2017 and 2020) containing images representing the expectations of the appearance of pain facial expressions according to 162 White participants. We then asked an independent group of White participants (N = 60, 30 women
5.
Lapointe, J. -F.; Allili, M. S.; Hammouche, N.
Field Trials of an AI-AR-Based System for Remote Bridge Inspection by Drone Article d'actes
Dans: D., Harris; W.-C., Li; H., Krömker (Ed.): Lect. Notes Comput. Sci., p. 278–287, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-303176823-1 (ISBN), (Journal Abbreviation: Lect. Notes Comput. Sci.).
Résumé | Liens | BibTeX | Étiquettes: Advanced systems, Air navigation, Artificial intelligence, artificial intelligence (AI), augmented reality, augmented reality (AR), Bridge inspection, Concrete bridges, Drone, Drones, Field trial, HIgh speed networks, High-speed Networks, Network links, Performance, Remote guidance, Transportation infrastructures, UAV
@inproceedings{lapointe_field_2025,
title = {Field Trials of an AI-AR-Based System for Remote Bridge Inspection by Drone},
author = {J. -F. Lapointe and M. S. Allili and N. Hammouche},
editor = {Harris D. and Li W.-C. and Krömker H.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213387549&doi=10.1007%2f978-3-031-76824-8_20&partnerID=40&md5=565ae5dded9cfdf27632e79e702c7718},
doi = {10.1007/978-3-031-76824-8_20},
isbn = {03029743 (ISSN); 978-303176823-1 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15381 LNCS},
pages = {278–287},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Bridge inspections are important to ensure the safety of users of these critical transportation infrastructures and avoid tragedies that could be caused by the collapse of these infrastructures. This paper describes the results of field trials of an advanced system for remotely guided inspection of bridges by a drone, which relies on artificial intelligence and augmented reality to achieve it. Results indicate that a high speed network link is critical to achieve good performance. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.},
note = {Journal Abbreviation: Lect. Notes Comput. Sci.},
keywords = {Advanced systems, Air navigation, Artificial intelligence, artificial intelligence (AI), augmented reality, augmented reality (AR), Bridge inspection, Concrete bridges, Drone, Drones, Field trial, HIgh speed networks, High-speed Networks, Network links, Performance, Remote guidance, Transportation infrastructures, UAV},
pubstate = {published},
tppubtype = {inproceedings}
}
Bridge inspections are important to ensure the safety of users of these critical transportation infrastructures and avoid tragedies that could be caused by the collapse of these infrastructures. This paper describes the results of field trials of an advanced system for remotely guided inspection of bridges by a drone, which relies on artificial intelligence and augmented reality to achieve it. Results indicate that a high speed network link is critical to achieve good performance. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
6.
Guingo, E.; Debeurme, M. H.; Santos, R. P.; Addab, S.; Rainville, P.; Bouchard, S.; Chougui, K.; Tsimicalis, A.; Nault, M. -L.; Ducruet, T.; Ledjiar, O.; Noel, M.; St-Arneault, K.; Cotes-Turpin, C.; Hung, N.; Ouimet, P.; Parent, S.; Gardner, J.; Bernstein, M.; May, S. Le
Efficacy of Virtual Reality vs. Tablet Games for Pain and Anxiety in Children Undergoing Bone Pins Removal: Randomised Clinical Trial Article de journal
Dans: Journal of Advanced Nursing, 2025, ISSN: 03092402 (ISSN), (Publisher: John Wiley and Sons Inc).
Résumé | Liens | BibTeX | Étiquettes: Anxiety, Children, Pain Management, procedural pain, virtual reality
@article{guingo_efficacy_2025,
title = {Efficacy of Virtual Reality vs. Tablet Games for Pain and Anxiety in Children Undergoing Bone Pins Removal: Randomised Clinical Trial},
author = {E. Guingo and M. H. Debeurme and R. P. Santos and S. Addab and P. Rainville and S. Bouchard and K. Chougui and A. Tsimicalis and M. -L. Nault and T. Ducruet and O. Ledjiar and M. Noel and K. St-Arneault and C. Cotes-Turpin and N. Hung and P. Ouimet and S. Parent and J. Gardner and M. Bernstein and S. Le May},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105004216228&doi=10.1111%2fjan.16991&partnerID=40&md5=4862f57a6a524f825f04fb1a70bb5a21},
doi = {10.1111/jan.16991},
issn = {03092402 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Journal of Advanced Nursing},
abstract = {Aims: To verify the efficacy of virtual reality compared to tablet games for pain and anxiety management in children undergoing percutaneous bone pin and/or suture removal procedures. Design: Randomised clinical trial using two parallel groups: (1) virtual reality or (2) tablet game. Methods: Three-center, randomised pragmatic clinical trial, using a parallel design with two groups (experimental group: immersive virtual reality; active comparator: tablet games). Children aged 6–17 requiring percutaneous pins and/or sutures were recruited between 2020 and 2022 from three outpatient orthopaedic clinics in paediatric hospitals. Pain was measured with the Numerical Rating Scale and anxiety with the Child Fear Scale before and immediately after the procedure. Results: A total of 188 participants were assigned to either the virtual reality group (96 participants) or the tablet group (92 participants). At the first assessment, there was no noticeable difference between the two groups in terms of pain or anxiety levels. However, further analysis revealed that participants aged 13 and older in the virtual reality group experienced significantly lower anxiety. Conclusion: Virtual reality was not more efficacious than games on a tablet for pain and anxiety of children undergoing removal of bone pins or sutures. However, virtual reality demonstrated a benefit in reducing anxiety for teenagers, particularly those aged 13-older. Implication for the Professional and/or Patient Care: Virtual reality games provide an immersive, non-pharmacological alternative of for anxiety management of teenagers during pins and/or sutures removal. Impact: This study showed that a virtual reality game may help reduce anxiety during pins and/or sutures removal procedures in patients aged 13 years and older. Reporting Method: We adhered to the CONSORT checklist for reporting results. Patient or Public Contribution: A patient partner reviewed the study design, methods and final manuscript. Trial Registration: NCT03680625. © 2025 The Author(s). Journal of Advanced Nursing published by John Wiley & Sons Ltd.},
note = {Publisher: John Wiley and Sons Inc},
keywords = {Anxiety, Children, Pain Management, procedural pain, virtual reality},
pubstate = {published},
tppubtype = {article}
}
Aims: To verify the efficacy of virtual reality compared to tablet games for pain and anxiety management in children undergoing percutaneous bone pin and/or suture removal procedures. Design: Randomised clinical trial using two parallel groups: (1) virtual reality or (2) tablet game. Methods: Three-center, randomised pragmatic clinical trial, using a parallel design with two groups (experimental group: immersive virtual reality; active comparator: tablet games). Children aged 6–17 requiring percutaneous pins and/or sutures were recruited between 2020 and 2022 from three outpatient orthopaedic clinics in paediatric hospitals. Pain was measured with the Numerical Rating Scale and anxiety with the Child Fear Scale before and immediately after the procedure. Results: A total of 188 participants were assigned to either the virtual reality group (96 participants) or the tablet group (92 participants). At the first assessment, there was no noticeable difference between the two groups in terms of pain or anxiety levels. However, further analysis revealed that participants aged 13 and older in the virtual reality group experienced significantly lower anxiety. Conclusion: Virtual reality was not more efficacious than games on a tablet for pain and anxiety of children undergoing removal of bone pins or sutures. However, virtual reality demonstrated a benefit in reducing anxiety for teenagers, particularly those aged 13-older. Implication for the Professional and/or Patient Care: Virtual reality games provide an immersive, non-pharmacological alternative of for anxiety management of teenagers during pins and/or sutures removal. Impact: This study showed that a virtual reality game may help reduce anxiety during pins and/or sutures removal procedures in patients aged 13 years and older. Reporting Method: We adhered to the CONSORT checklist for reporting results. Patient or Public Contribution: A patient partner reviewed the study design, methods and final manuscript. Trial Registration: NCT03680625. © 2025 The Author(s). Journal of Advanced Nursing published by John Wiley & Sons Ltd.
7.
Fareedi, A. A.; Ismail, M.; Gagnon, S.; Ghazanweh, A.; Arooj, Z.
Digital Health Transformation: Leveraging a Knowledge Graph Reasoning Framework and Conversational Agents for Enhanced Knowledge Management Article de journal
Dans: Systems, vol. 13, no 2, 2025, ISSN: 20798954 (ISSN), (Publisher: Multidisciplinary Digital Publishing Institute (MDPI)).
Résumé | Liens | BibTeX | Étiquettes: conversational agent, CRISP-KG, Knowledge graphs, ontologies, SWRL
@article{fareedi_digital_2025,
title = {Digital Health Transformation: Leveraging a Knowledge Graph Reasoning Framework and Conversational Agents for Enhanced Knowledge Management},
author = {A. A. Fareedi and M. Ismail and S. Gagnon and A. Ghazanweh and Z. Arooj},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218906224&doi=10.3390%2fsystems13020072&partnerID=40&md5=53b218763023a1bec3d69899d4dd7a86},
doi = {10.3390/systems13020072},
issn = {20798954 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Systems},
volume = {13},
number = {2},
abstract = {The research focuses on the limitations of traditional systems in optimizing information flow in the healthcare domain. It focuses on integrating knowledge graphs (KGs) and utilizing AI-powered applications, specifically conversational agents (CAs), particularly during peak operational hours in emergency departments (EDs). Leveraging the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, the authors tailored a customized methodology, CRISP-knowledge graph (CRISP-KG), designed to harness KGs for constructing an intelligent knowledge base (KB) for CAs. This KG augmentation empowers CAs with advanced reasoning, knowledge management, and context awareness abilities. We utilized a hybrid method integrating a participatory design collaborative methodology (CM) and Methontology to construct a domain-centric robust formal ontological model depicting and mapping information flow during peak hours in EDs. The ultimate objective is to empower CAs with intelligent KBs, enabling seamless interaction with end users and enhancing the quality of care within EDs. The authors leveraged semantic web rule language (SWRL) to enhance inferencing capabilities within the KG framework further, facilitating efficient information management for assisting healthcare practitioners and patients. This innovative assistive solution helps efficiently manage information flow and information provision during peak hours. It also leads to better care outcomes and streamlined workflows within EDs. © 2025 by the authors.},
note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},
keywords = {conversational agent, CRISP-KG, Knowledge graphs, ontologies, SWRL},
pubstate = {published},
tppubtype = {article}
}
The research focuses on the limitations of traditional systems in optimizing information flow in the healthcare domain. It focuses on integrating knowledge graphs (KGs) and utilizing AI-powered applications, specifically conversational agents (CAs), particularly during peak operational hours in emergency departments (EDs). Leveraging the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, the authors tailored a customized methodology, CRISP-knowledge graph (CRISP-KG), designed to harness KGs for constructing an intelligent knowledge base (KB) for CAs. This KG augmentation empowers CAs with advanced reasoning, knowledge management, and context awareness abilities. We utilized a hybrid method integrating a participatory design collaborative methodology (CM) and Methontology to construct a domain-centric robust formal ontological model depicting and mapping information flow during peak hours in EDs. The ultimate objective is to empower CAs with intelligent KBs, enabling seamless interaction with end users and enhancing the quality of care within EDs. The authors leveraged semantic web rule language (SWRL) to enhance inferencing capabilities within the KG framework further, facilitating efficient information management for assisting healthcare practitioners and patients. This innovative assistive solution helps efficiently manage information flow and information provision during peak hours. It also leads to better care outcomes and streamlined workflows within EDs. © 2025 by the authors.
8.
Fareedi, A. A.; Gagnon, S.; Ghazawneh, A.; Valverde, R.
Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System Article de journal
Dans: Future Internet, vol. 17, no 6, 2025, ISSN: 19995903 (ISSN), (Publisher: Multidisciplinary Digital Publishing Institute (MDPI)).
Résumé | Liens | BibTeX | Étiquettes: Data integration, Data interoperability, Federated information systems, Federated ontology, Graph framework, Interoperability, Knowledge graphs, Knowledge management, Medical computing, Ontology, Ontology's, Ontop, Query processing, Semantic interoperability, Semantic Web, Semantics, Virtual knowledge, virtual reality, Virtualization, Virtualized knowledge graph
@article{fareedi_semantic_2025,
title = {Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System},
author = {A. A. Fareedi and S. Gagnon and A. Ghazawneh and R. Valverde},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105009278332&doi=10.3390%2ffi17060245&partnerID=40&md5=72bd14d033887f72e7e0c8a6a1451415},
doi = {10.3390/fi17060245},
issn = {19995903 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Future Internet},
volume = {17},
number = {6},
abstract = {Data integration (DI) and semantic interoperability (SI) are critical in healthcare, enabling seamless, patient-centric data sharing across systems to meet the demand for instant, unambiguous access to health information. Federated information systems (FIS) highlight auspicious issues for seamless DI and SI stemming from diverse data sources or models. We present a hybrid ontology-based design science research engineering (ODSRE) methodology that combines design science activities with ontology engineering principles to address the above-mentioned issues. The ODSRE constructs a systematic mechanism leveraging the Ontop virtual paradigm to establish a state-of-the-art federated virtual knowledge graph framework (FVKG) embedded virtualized knowledge graph approach to mitigate the aforementioned challenges effectively. The proposed FVKG helps construct a virtualized data federation leveraging the Ontop semantic query engine that effectively resolves data bottlenecks. Using a virtualized technique, the FVKG helps to reduce data migration, ensures low latency and dynamic freshness, and facilitates real-time access while upholding integrity and coherence throughout the federation system. As a result, we suggest a customized framework for constructing ontological monolithic semantic artifacts, especially in FIS. The proposed FVKG incorporates ontology-based data access (OBDA) to build a monolithic virtualized repository that integrates various ontological-driven artifacts and ensures semantic alignments using schema mapping techniques. © 2025 by the authors.},
note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},
keywords = {Data integration, Data interoperability, Federated information systems, Federated ontology, Graph framework, Interoperability, Knowledge graphs, Knowledge management, Medical computing, Ontology, Ontology's, Ontop, Query processing, Semantic interoperability, Semantic Web, Semantics, Virtual knowledge, virtual reality, Virtualization, Virtualized knowledge graph},
pubstate = {published},
tppubtype = {article}
}
Data integration (DI) and semantic interoperability (SI) are critical in healthcare, enabling seamless, patient-centric data sharing across systems to meet the demand for instant, unambiguous access to health information. Federated information systems (FIS) highlight auspicious issues for seamless DI and SI stemming from diverse data sources or models. We present a hybrid ontology-based design science research engineering (ODSRE) methodology that combines design science activities with ontology engineering principles to address the above-mentioned issues. The ODSRE constructs a systematic mechanism leveraging the Ontop virtual paradigm to establish a state-of-the-art federated virtual knowledge graph framework (FVKG) embedded virtualized knowledge graph approach to mitigate the aforementioned challenges effectively. The proposed FVKG helps construct a virtualized data federation leveraging the Ontop semantic query engine that effectively resolves data bottlenecks. Using a virtualized technique, the FVKG helps to reduce data migration, ensures low latency and dynamic freshness, and facilitates real-time access while upholding integrity and coherence throughout the federation system. As a result, we suggest a customized framework for constructing ontological monolithic semantic artifacts, especially in FIS. The proposed FVKG incorporates ontology-based data access (OBDA) to build a monolithic virtualized repository that integrates various ontological-driven artifacts and ensures semantic alignments using schema mapping techniques. © 2025 by the authors.
9.
Khosrojerdi, F.; Gagnon, S.; Valverde, R.
Leveraging AI for Sustainable Energy Development in Solar Power Plants Operating Under Shading Conditions Article de journal
Dans: Energies, vol. 18, no 11, 2025, ISSN: 19961073 (ISSN), (Publisher: Multidisciplinary Digital Publishing Institute (MDPI)).
Résumé | Liens | BibTeX | Étiquettes: Computer control systems, Condition, Electric power system control, Energy, Energy forecasting, Energy output, Maximum Power Point Tracking, MPPT, Photovoltaic arrays, Photovoltaic systems, Power, PSC, SDGs, Solar energy, Solar fuels, Solar heating, sustainable development, Sustainable energy development
@article{khosrojerdi_leveraging_2025,
title = {Leveraging AI for Sustainable Energy Development in Solar Power Plants Operating Under Shading Conditions},
author = {F. Khosrojerdi and S. Gagnon and R. Valverde},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007798431&doi=10.3390%2fen18112960&partnerID=40&md5=2a1c721151c469168b124841a0edd4d7},
doi = {10.3390/en18112960},
issn = {19961073 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Energies},
volume = {18},
number = {11},
abstract = {In a photovoltaic (PV) system, shading caused by weather and environmental factors can significantly impact electricity production. For over a decade, artificial intelligence (AI) techniques have been applied to enhance energy production efficiency in the solar energy sector. This paper demonstrates how AI-based control systems can improve energy output in a solar power plant under shading conditions. The findings highlight that AI contributes to the sustainable development of the solar power sector. Specifically, maximum power point tracking (MPPT) control systems, utilizing metaheuristic and computer-based algorithms, enable PV arrays to mitigate the impacts of shading effectively. The effect of shading on a PV module is also simulated using MATLAB R2018b. Using actual PV data from a solar power plant, power outputs are compared in two scenarios: (I) PV systems without a control system and (II) PV arrays equipped with MPPT boards. The System Advisor Model (SAM) is employed to calculate the monthly energy output of the case study. The results confirm that PV systems using MPPT technology generate significantly more monthly energy compared to those without MPPTs. © 2025 by the authors.},
note = {Publisher: Multidisciplinary Digital Publishing Institute (MDPI)},
keywords = {Computer control systems, Condition, Electric power system control, Energy, Energy forecasting, Energy output, Maximum Power Point Tracking, MPPT, Photovoltaic arrays, Photovoltaic systems, Power, PSC, SDGs, Solar energy, Solar fuels, Solar heating, sustainable development, Sustainable energy development},
pubstate = {published},
tppubtype = {article}
}
In a photovoltaic (PV) system, shading caused by weather and environmental factors can significantly impact electricity production. For over a decade, artificial intelligence (AI) techniques have been applied to enhance energy production efficiency in the solar energy sector. This paper demonstrates how AI-based control systems can improve energy output in a solar power plant under shading conditions. The findings highlight that AI contributes to the sustainable development of the solar power sector. Specifically, maximum power point tracking (MPPT) control systems, utilizing metaheuristic and computer-based algorithms, enable PV arrays to mitigate the impacts of shading effectively. The effect of shading on a PV module is also simulated using MATLAB R2018b. Using actual PV data from a solar power plant, power outputs are compared in two scenarios: (I) PV systems without a control system and (II) PV arrays equipped with MPPT boards. The System Advisor Model (SAM) is employed to calculate the monthly energy output of the case study. The results confirm that PV systems using MPPT technology generate significantly more monthly energy compared to those without MPPTs. © 2025 by the authors.
10.
Chrétien, S.; Giroux, I.; Smith, I.; Jacques, C.; Ferland, F.; Sévigny, S.; Bouchard, S.
Emotional Regulation in Substance-Related and Addictive Disorders Treatment: A Systematic Review Article de journal
Dans: Journal of Gambling Studies, vol. 41, no 2, p. 353–448, 2025, ISSN: 10505350 (ISSN), (Publisher: Springer).
Résumé | Liens | BibTeX | Étiquettes: addiction, Addictive, Addictive disorders, behavior, cognitive behavioral therapy, drug dependence, emotion regulation, Emotional Regulation, Gambling, human, Humans, internet addiction, Internet Addiction Disorder, Intervention, Non-substance-related disorders, procedures, psychology, Substance use disorders, Substance-Related Disorders, systematic review, Therapy
@article{chretien_emotional_2025,
title = {Emotional Regulation in Substance-Related and Addictive Disorders Treatment: A Systematic Review},
author = {S. Chrétien and I. Giroux and I. Smith and C. Jacques and F. Ferland and S. Sévigny and S. Bouchard},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217537329&doi=10.1007%2fs10899-024-10366-8&partnerID=40&md5=6c9efe4725be6f9dd3bcd2bf347d45ec},
doi = {10.1007/s10899-024-10366-8},
issn = {10505350 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Journal of Gambling Studies},
volume = {41},
number = {2},
pages = {353–448},
abstract = {Emotions play an undeniable role in addictive disorders. Given the high relapse and drop-out rates still prevalent in current treatments, it is crucial to explore curative alternatives that take greater account of emotions. The primary objective of this systematic review is to gather literature related to emotion regulation in psychological addictive disorders treatments. The aim is to describe its use for individuals with behavioral (such as gambling disorder, problematic Internet gaming, and Internet addiction) or substance-related disorders. Following a screening of nearly 12,000 articles from six databases and the grey literature, 38 studies that met the selection criteria were included. The results show that 63.2% of the studies had a psychological treatment predominantly based on emotional regulation, with 81.6% (n = 31) of third-wave cognitive-behavioral interventions. The most frequently utilized intervention techniques for emotional regulation were those that facilitated an individual's awareness of their emotional state or provided psychological education to assist in identifying emotions. It would be valuable for future research to explore the most effective content for emotional regulation in treating substance-related and addictive disorders and to determine the specific client population that would benefit the most from this treatment. © The Author(s) 2025.},
note = {Publisher: Springer},
keywords = {addiction, Addictive, Addictive disorders, behavior, cognitive behavioral therapy, drug dependence, emotion regulation, Emotional Regulation, Gambling, human, Humans, internet addiction, Internet Addiction Disorder, Intervention, Non-substance-related disorders, procedures, psychology, Substance use disorders, Substance-Related Disorders, systematic review, Therapy},
pubstate = {published},
tppubtype = {article}
}
Emotions play an undeniable role in addictive disorders. Given the high relapse and drop-out rates still prevalent in current treatments, it is crucial to explore curative alternatives that take greater account of emotions. The primary objective of this systematic review is to gather literature related to emotion regulation in psychological addictive disorders treatments. The aim is to describe its use for individuals with behavioral (such as gambling disorder, problematic Internet gaming, and Internet addiction) or substance-related disorders. Following a screening of nearly 12,000 articles from six databases and the grey literature, 38 studies that met the selection criteria were included. The results show that 63.2% of the studies had a psychological treatment predominantly based on emotional regulation, with 81.6% (n = 31) of third-wave cognitive-behavioral interventions. The most frequently utilized intervention techniques for emotional regulation were those that facilitated an individual's awareness of their emotional state or provided psychological education to assist in identifying emotions. It would be valuable for future research to explore the most effective content for emotional regulation in treating substance-related and addictive disorders and to determine the specific client population that would benefit the most from this treatment. © The Author(s) 2025.