CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

“…Federated learning has recently gained significant attention as a method for building machine learning models due to its ability to preserve data privacy while delivering improved performance. …”
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Emergency department care experiences among 2SLGBTQQIA+ patients: a mixed methods study by Sidonie Chard, Sawyer Karabelas-Pittman, Kel Martin, Elliot Chapple, David Messenger, Susan A. Bartels, Melanie Walker

“…Participants were recruited from the Kingston Health Sciences Centre’s ED, Urgent Care Centre, and at community-based organisations. Quantitative data were analysed using chi-squared tests, while qualitative data underwent thematic analysis. …”
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Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives by Hao Ren, Hao Ren, Hao Ren, Fengshi Jing, Yongcong Ma, Ruining Wang, Chaocheng He, Yufan Wang, Jiandong Zhou, Yu Sun

“…Looking ahead, we anticipate that this field will increasingly prioritize data privacy protection, particularly in the era of large language models, to address emerging challenges and ensure sustainable growth. …”
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Evaluation of ERP softwares with fuzzy AHP integrated TODIM method by A. Çağrı Tolga

“…Furthermore,the company's data privacy policy has been incorporated into the solutionprocedure with the fuzzy logic, which takes into account these drawbacks.Besides, it has been ensured that the cost criterion is integrated in adetailed manner. …”
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Adoption of internet of things in residential smart homes: A structural equation modeling approach by Amir Mohammad Norouzzadeh, Seyed Pendar Toufighi, Jan Vang, Abolfazl Edalatipour

“…This study explores the behavioral factors influencing IoT adoption in residential smart buildings. Using a descriptive-survey method, data were collected from 97 companies involved in the smart home sector through structured questionnaires. …”
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Patient and clinician perceptions of telehealth in musculoskeletal physiotherapy services - A systematic review of the evidence-base. by Anthony Smith, Sue Innes

“…Methodological quality was evaluated using the CASP, JBI and QuADS tools. Findings were evaluated via consensus and showed clear patient and clinician satisfaction with positive themes of reduced travel, reduced physical burden, flexibility/accessibility and negative themes of reduced physical contact, computer literacy and privacy infringements. …”
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Leveraging Blockchain for Transparency: A Study on Organ Supply Chains and Transplant Processes by Rashmi Ranjan Panigrahi, Subhodeep Mukherjee, Zakir Hossen Shaikh, Naji Mansour Nomran

“…Structural equation modelling was used to test and validate the model. <i>Results</i>: The study’s findings indicate that social influence, trust, facilitating conditions, government support, performance expectancy, data security and privacy, and technology affinity positively impact blockchain adoption in organ transplants. …”
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Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks by S. Punitha, K. S. Preetha

“…To address these issues, a distributed framework based on federated learning is proposed, integrating Optimized Gated Transformer Networks (OGTN) with layered chaotic encryption schemes to mitigate multiple unknown cyberattacks while preserving data privacy and integrity. The framework was implemented using TensorFlow Federated Learning Libraries (FLL) and evaluated on the UNSW-NB15 dataset. …”
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Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

“…Bayesian optimization (BO) has proved to be a suitable optimization method in these situations thanks to its sample efficiency and principled way of learning from previous data, but it typically requires that experiments are sequentially performed. …”
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Comparative Performance Evaluation of Real-Time Webcam and HOG-Based Facial Recognition Systems for Children's Screen Time Management by Fatimah Alghamdi, Abdulrahman Alghamdi

“…It highlights critical security and privacy considerations, particularly the responsible handling of facial data in environments accessible to minors. …”
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A Study of K-ISMS Fault Analysis for Constructing Secure Internet of Things Service by Hwankuk Kim, Jongin Lim, Kyungho Lee

“…Since existing studies mainly focus on simple statistical analysis of the K-ISMS assessment results, analysis on the cause of certification assessment fault based on past data analysis is insufficient. As a method of managing the certification inspection quality, in this paper, we analyze the association among the fault items of the K-ISMS certification assessment results using association rule mining which involves identifying an association rule among items in the database.…”
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A Fully Distributed Power Flow Algorithm with Exponentially Fast Convergence by Changzheng GAO, Bo YAN, Jiarui WANG, Xuefei CHANG, Yue SUN

“…In order to meet the data privacy requirements for interconnected power system power flow calculations, a fully distributed power flow algorithm is proposed. …”
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A Multi-Criteria Decision-Making Framework for Evaluating Emerging Digital Technologies in Supply Chain Optimization by Nabil M. AbdelAziz, Dina Mohamed, Hasnaa Soliman

“…Ten critical attributes covering technical, economic, and environmental dimensions were identified through expert consultation and a review of relevant literature, including scalability, integration ease, performance benefit, costeffectiveness, environmental and social sustainability, data privacy, and supply chain resilience. The evaluation framework combines the Entropy method for determining objective attribute weights with the TOPSIS method for ranking alternatives. …”
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Performance Evaluation of Decentralized Federated Learning: Impact of Fully and K-Connected Topologies, Heterogeneous Computing Resources, and Communication Bandwidth by Vo van Truong, Pham Khanh Quan, Dong-Hwan Park, Taehong Kim

“…Decentralized federated learning (DFL) enables collaborative model training across distributed devices while preserving data privacy. Despite this, the performance of DFL in real-world scenarios, characterized by varying network topologies, heterogeneous client resources, and communication bandwidth, remains underexplored. …”
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A Systematic Literature Review on Sustainability Integration and Marketing Intelligence in the Era of Artificial Intelligence by Md Mehedi Hasan Emon, Tahsina Khan

“…The conversation delves into the difficulties and moral aspects involved in using AI in marketing, such as issues related to data privacy, algorithmic bias, and the importance of a strategic framework that focuses on sustainable development goals. …”
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Asynchronous blockchain‐based federated learning for tokenized smart power contract of heterogeneous networked microgrid system by Desh Deepak Sharma

“…For simulation purposes, MATLAB and python programming have been used with real‐time data of microgrids.…”
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A Survey on the Effectiveness of Existing Smart Home Cyber Attacks Detection Solution: A Broadband Service Providers&#x2019; Perspective by Md Mizanur Rahman, Faycal Bouhafs, Frank den Hartog

“…We also discuss future research directions, emphasising scalable and data-efficient methods to reduce storage requirements, costs, and privacy concerns, which will enable BSPs to manage millions of customer networks more effectively.…”
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Integrating population-based biobanks: Catalyst for advances in precision health by Jui-Chu Lin, Yi-Lien Liu, Wesley Wei-Wen Hsiao, Chien-Te Fan

“…Challenges in integrating different biobanks include data format consistency, privacy concerns, and legal constraints. …”
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Swachh Bharat Mission Gramin: Uptake and challenges in rural Coimbatore by Iswarya Natarajan, Kathiravan Rajendran, Seetharaman Narayanan, Jeevithan Shanmugam

“…Quantitative data were analysed using Statistical Package for the Social Sciences (SPSS) v23 and qualitative data using manual thematic content analysis. …”
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Exploring unsupervised feature extraction algorithms: tackling high dimensionality in small datasets by Hongqi Niu, Gabrielle B. McCallum, Anne B. Chang, Khalid Khan, Sami Azam

“…Abstract Small datasets are common in many fields due to factors such as limited data collection opportunities or privacy concerns. …”
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