@article{el_cheddadi_role_2025,

title = {The role of artificial intelligence and machine learning in safeguarding IoMT security and privacy},

author = {A. El Cheddadi and H. Moudoud and S. Gagnon},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105024398178&doi=10.1201%2F9781003640325-1&partnerID=40&md5=442f29d04b42d63f9fd11c83ad4a77df},

doi = {10.1201/9781003640325-1},

issn = {978-100364032-5 (ISBN); 978-104107046-7 (ISBN)},

year  = {2025},

date = {2025-01-01},

journal = {Digital Forensics in Next-Generation Internet of Medical Things: Balancing Security and Sustainability},

pages = {1–17},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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=02986a1a6a4bcd62967f83e278b9edc6},

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 = {},

pubstate = {published},

tppubtype = {article}

}

@article{agbodoh_falschau_governance_2025,

title = {Do governance determinants contribute to effective management of cybersecurity threats posed by misleading information? Evidence from Canadian organizations},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105024451738&doi=10.1108%2FIJAIM-12-2024-0467&partnerID=40&md5=58f9de11e945619e41d0f3085b3d819b},

doi = {10.1108/IJAIM-12-2024-0467},

issn = {18347649 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {International Journal of Accounting and Information Management},

abstract = {Purpose – This study aims to explore governance solutions adopted by Canadian organizations to address the cybersecurity threats posed by misleading information. Design/methodology/approach – This paper investigates the impact of several organizations’ governance determinants on five types of misleading information: phishing incidents, impersonation, fake news or false stories, fake reviews and other types of misleading information. Using nonparametric statistical techniques and regression models, this study assessed regional variations in responding to misleading information challenges and the effectiveness of mitigation strategies. Findings – These results reveal that no unique governance solutions have emerged across the jurisdictions, implying that organizations operating in each province have different tolerances for emerging cyber risks and, thus, adopted specific strategies to combat them. The results also suggest that the impact exerted by specific governance determinants on misleading information varies across jurisdictions. Research limitations/implications – Limitations: The reliance on secondary data may limit the generalization of the results to other countries. Future research should consider additional determinants, such as non-technological organizational factors, and a longitudinal approach to assessing the significance of solutions and the frequency of incidents. Implications: The study’s findings are expected to contribute to operational and strategic directions that elevate awareness of the growing threat of misleading information in the cyber domain. It provides stakeholders with effective governance solutions that play a critical role in mitigating cybersecurity risks by fostering awareness and detection capabilities. Practical implications – The study’s findings are expected to contribute to operational and strategic directions that elevate awareness of the growing threat of misleading information in the cyber domain. It provides stakeholders with effective governance solutions that play a critical role in mitigating cybersecurity risks by fostering awareness and detection capabilities. Originality/value – This paper offers new insights and practical implications about governance solutions that might be considered in combating specific misleading information portrayed as emerging cyber threats. © 2025 Emerald Publishing Limited},

keywords = {},

pubstate = {published},

tppubtype = {article}

}