@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}

}

@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}

}

@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}

}

@article{von_lucke_comparative_2024,

title = {Comparative Analysis of the Relevance and Priority for Artificial Intelligence Tools, Services and Open Questions in the Hellenic, Argentinian and Canadian Parliaments},

author = {J. Von Lucke and F. Fitsilis and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206448457&doi=10.1163%2f26668912-bja10089&partnerID=40&md5=50e5ac8b59c25012285e0d98dddf6665},

doi = {10.1163/26668912-bja10089},

issn = {26668904 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Parliamentary Studies},

abstract = {Artificial Intelligence (ai) is on the rise and already affecting parliaments around the world. In the framework of a long-term and on-going research project, a series of interactive workshops have been organized between 2021 and 2023 in three national parliaments, in Greece, Argentina, and Canada, with the objective to assess the relevance and priority of a pre-defined set of 210 proposals, primarily regarding the use of ai-based tools and services in the parliamentary workspace. Reflection groups within each parliament evaluated these proposals providing invaluable results that can be utilized in manifold ways by the institutions, for instance towards structuring digital strategies, designing future it systems, or training intra-parliamentary stakeholders. This article presents a comparative analysis of the results obtained by all three parliaments. The analysis sheds light in a rapidly developing field of disruptive parliamentary technology (ParlTech) that with define the parliaments of the future. © 2024 Jörn von Lucke et al.},

note = {Publisher: Brill Academic Publishers},

keywords = {Artificial intelligence, interactive workshops, parliament of the future, parliaments, ParlTech},

pubstate = {published},

tppubtype = {article}

}

@article{agbodoh-falschau_when_2024,

title = {When Misleading Information Hits: How Canadian Companies React?},

author = {R. K. Agbodoh-Falschau and O. Lamzihri and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207355906&doi=10.1057%2fs41299-024-00203-4&partnerID=40&md5=d5f72a1918cee04b8585bad2153ca426},

doi = {10.1057/s41299-024-00203-4},

issn = {13633589 (ISSN)},

year  = {2024},

date = {2024-01-01},

journal = {Corporate Reputation Review},

abstract = {The concept of misleading information categorized as misinformation, disinformation, and mal-information among others is receiving much attention, as it is seen to have detrimental consequences on the organizations’ reputation and going concerns. Corporations face more challenges in honing responses to combat these cyber threats as there are still significant differences in the proposed governance solutions and a lack of empirical research investigating the most prevalent ones to fight these growing risks. Grounded on protection motivation theory, empirical evidence, and the data collected from the Statistics Canada Open Sources Database, this paper investigates the appropriateness of governance solutions that corporations contemplate in managing these cybersecurity risks. Our results show that governance solutions related to increasing online presence and customer outreach explained 52% of overall solutions contemplated by corporations to fight these cyber threats. The results also revealed that organizations ranked governance solutions associated with employee training, new increase cybersecurity measures, marketing campaigns, legal action, political advocacy, and reporting to external parties as the most adopted solutions to combat false or misleading information. Overall, our paper contributes to a growing disinformation, misinformation, and mal-information literature in business environments by providing empirical evidence on key governance solutions favored by corporations to combat misleading information. © The Author(s), under exclusive licence to Springer Nature Limited 2024.},

note = {Publisher: Springer Nature},

keywords = {C81, Cybersecurity risk, Disinformation, G34, Governance, K42, M15, Misinformation, Misleading information, Principal component analysis},

pubstate = {published},

tppubtype = {article}

}

@article{khosrojerdi_digital_2023,

title = {Digital Transformation: Prior to and Following the Pandemic},

author = {F. Khosrojerdi and H. Motaghi and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160784938&doi=10.1007%2f978-3-031-27886-0_5&partnerID=40&md5=ca00a96e6f0709aa71524b6c32ca8fe6},

doi = {10.1007/978-3-031-27886-0_5},

issn = {14311933},

year  = {2023},

date = {2023-01-01},

journal = {Contributions to Economics},

pages = {139–152},

abstract = {COVID-19 has negatively affected business operations and drastically threatened different ongoing organizational changes. Digital transformation has been considered a unique way of improving performance and business operations in the new digital world. However, the immediate shutdown caused by the pandemic and the lack of preparation for implementing digital transformation influenced most industries. This chapter outlines the negative implications of COVID-19 on transferring to digital solutions as well as revealed prospects. In this regard, the outcomes of implementing digital transformation in several sectors are reviewed. Assessing these impacts addresses the benefits and drawbacks associated with digitalized solutions. We highlight the beginning of the year 2020, the announcement of the global pandemic, as an important timeline for evaluating the contributions of published papers. Furthermore, we emphasize that papers published following the epidemic in addition to considering the impacts should be included in future research studies in this field. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},

note = {Publisher: Springer Science and Business Media Deutschland GmbH},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{azzi_scoring_2023,

title = {Scoring Ontologies for Reuse: An Approach for Fitting Semantic Requirements},

author = {S. Azzi and A. Assi and S. Gagnon},

editor = {Vlachidis A. Garoufallou E.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172082147&doi=10.1007%2f978-3-031-39141-5_17&partnerID=40&md5=f2d307e9185aca3ae5a69c31e8e4440a},

doi = {10.1007/978-3-031-39141-5_17},

issn = {18650929},

year  = {2023},

date = {2023-01-01},

journal = {Communications in Computer and Information Science},

volume = {1789 CCIS},

pages = {203–208},

abstract = {The process of reusing ontologies is still challenging for the ontological community. One of the challenging efforts is to select the most relevant ontology from a set of candidates that needs a deep consideration. After the step of finding the candidates, many of them can be more appropriate than others as they fit better to the ontology requirements expressed by competency questions. First, we develop a mathematical formalisation based on Set Theory and we design the problem as an optimization problem to assist the knowledge engineer in selecting ontologies. Then, we provide formal steps to make well-founded comparison across a set of candidate ontologies. At last, we propose metrics to quantify the decision during the selection step. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},

note = {ISBN: 9783031391408 

Publisher: Springer Science and Business Media Deutschland GmbH},

keywords = {Competency question, Fitting semantics, Formalisation, Ontological communities, Ontology, Ontology engineering, Ontology reuse, Ontology's, PNADO, Reuse, Semantic requirement, Semantic Web, Semantics},

pubstate = {published},

tppubtype = {article}

}