Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems by Chuangeng Tian, Fanjia Li, Xiaomeng Liu, Juanjuan Li

“…For classification, a kernel support vector machine (SVM) model is trained using a randomized hyperparameter search algorithm. …”
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Intrusion Detection Framework for Internet of Things with Rule Induction for Model Explanation by Kayode S. Adewole, Andreas Jacobsson, Paul Davidsson

“…As the proliferation of Internet of Things (IoT) devices grows, challenges in security, privacy, and interoperability become increasingly significant. …”
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A "Quıet" need ın the dısaster of the century: a qualıtatıve study on menstrual hygıene management by Ayşe Aydın, Meltem Şirin Gok, Bahar Çiftçi

“…The interviews were analyzed using content analysis, and themes and sub-themes reflecting the women's experiences were identified. …”
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The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce by Jiwang Yin, Xiaodong Qiu, Ya Wang

“…AI-personalized recommendation technology offers more accurate and diverse choices to consumers and increases click-through rates and sales on e-commerce platforms. Yet, data on consumers’ experiences of AI-personalized recommendations and their impact path on clicking intention are scarce. …”
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The Role of Evidence-Based Design in Enhancing Architectural Design Process of Healthcare Buildings: A Case Study of General Hospitals in Sulaimani City by Zhekaf Sulaiman Mustafa Hassan 1, a, *, Dr. Fouad Jalal Mahmood 2, a

“…Furthermore, the research incorporates case studies and spatial analysis using DepthMapX to obtain objective insights. The discrepancy between subjective perspectives and objective analysis prompts a deeper exploration of the practical implementation of evidence-based design (EBD) in healthcare architecture. …”
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Transformations in academic work and faculty perceptions of artificial intelligence in higher education by Jorge Buele, Leonel Llerena-Aguirre

“…Additionally, ethical debates are emerging around algorithmic transparency, data privacy, and institutional responsibility. Effective integration in higher education demands not only technical proficiency but also ethical grounding, regulatory support, and critical pedagogical development. …”
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FedHSP: A Robust Federated Learning Framework Coherently Addressing Heterogeneity, Security, and Performance Challenges by Divya G. Nair, C. V. Aswartha Narayana, K. Jaideep Reddy, Jyothisha J. Nair

“…Federated Learning (FL) is a machine learning training method that leverages local model gradients instead of accessing private data from individual clients, ensuring privacy. However, the practical implementation of FL faces significant challenges. …”
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Class-Hidden Client-Side Watermarking in Federated Learning by Weitong Chen, Chi Zhang, Wei Zhang, Jie Cai

“…Federated learning consists of a central aggregator and multiple clients, forming a distributed structure that effectively protects data privacy. However, since all participants can access the global model, the risk of model leakage increases, especially when unreliable participants are involved. …”
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Machine Learning for Resilient and Sustainable Cities: A Bibliometric Analysis of Smart Urban Technologies by Bin Luan, Xinqun Feng

“…A hotspot analysis revealed that research topics are increasingly diverse and dynamically evolving. Issues such as data privacy, cybersecurity, sustainable development, and intelligent transportation have gradually become focal points, reflecting the dual demand of smart city development for technological innovation and green growth. …”
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Image-based food monitoring and dietary management for patients living with diabetes: a scoping review of calorie counting applications by Asal Rouhafzay, Asal Rouhafzay, Ghazal Rouhafzay, Jalila Jbilou, Jalila Jbilou

“…However, challenges such as standardization, validation across diverse populations, and data privacy concerns need to be addressed. This review focuses on the role of computer science in dietary intake estimation, specifically food segmentation, classification, and volume estimation for calorie calculation. …”
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A Dynamic Hill Cipher with Arnold Scrambling Technique for Medical Images Encryption by Yuzhou Xi, Yu Ning, Jie Jin, Fei Yu

“…Cryptography ensures secure communication and data privacy, and it has been increasingly applied in healthcare and related areas. …”
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Adaptive Federated Learning With Reinforcement Learning-Based Client Selection for Heterogeneous Environments by Shamim Ahmed, M. Shamim Kaiser, Sudipto Chaki, A. B. M. Shawkat Ali

“…The framework integrates reinforcement learning (RL) based client selection using both Tabular Q-Learning and Deep Q-Network (DQN) strategies to dynamically identify clients that most positively impact global model performance. …”
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Leveraging machine learning in nursing: innovations, challenges, and ethical insights by Sophie So Wan Yip, Sheng Ning, Niki Yan Ki Wong, Jeffrey Chan, Kei Shing Ng, Bernadette Oi Ting Kwok, Robert L. Anders, Simon Ching Lam

“…However, key challenges include ethical considerations, such as data privacy, algorithmic bias, and patient autonomy, which necessitate ongoing research and regulatory oversight.ConclusionsML in nursing offers transformative potential across patient care, education, and operational efficiency, which is balanced by significant challenges and ethical considerations. …”
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Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

“…The system is powered by a LiPo battery, which is recharged using solar energy. The perimeter alert system offers numerous advantages, including edge processing for enhanced data privacy and reduced latency, integrating multiple sensors for increased accuracy, and a decentralized approach to improving security. …”
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Innovations and Technological Advances in Healthcare Remote Monitoring Systems for the Elderly and Vulnerable People: A Scoping Review by Diana Lizet González-Baldovinos, Luis Pastor Sánchez-Fernández, Jose Luis Cano-Rosas, Asdrúbal López-Chau, Pedro Guevara-López

“…To develop robust systems that provide equitable and high-quality healthcare, it is essential to address critical challenges such as data privacy, security, accessibility, and ethical considerations.…”
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Accessible viral metagenomics for public health and clinical domains with Jovian by Dennis Schmitz, Florian Zwagemaker, Sam Nooij, Thierry K. S. Janssens, Jeroen Cremer, Robert Verhagen, Harry Vennema, Annelies Kroneman, Marion P. G. Koopmans, Jeroen F. J. Laros, Miranda de Graaf

“…Abstract The integration of next-generation sequencing into clinical diagnostics and surveillance initiatives is impeded by the lack of data analysis pipelines that align with privacy legislation and laboratory certification protocols. …”
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Ethical and Legal Challenges of Implementing AI in Science and Math Education in Central Asia by Dilfuza M.Makhmudova, Xilola R. Sharipova, Nosirjon K. Hojiyev, Azamat E.Ergashev, Yulduzknon Kh.Satvaldieva, Khosiyat U.Mamatkulova, Egambergan M. Khudoynazarov

“…Additionally, 64% of respondents expressed serious concerns about student data privacy, while 71% supported the need for formal AI ethics training. …”
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Investigating the impact of publicly announced information security breaches on corporate risk factor disclosure tendencies by Sandra J. Cereola, Joanna Dynowska

“…We pay particular attention to organizations that have suffered a data breach, as determined by the Privacy Rights Clearinghouse (PRC). …”
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IP SafeGuard–An AI-Driven Malicious IP Detection Framework by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Md Rakibul Hasan, Areej Obeidat, Nuruzzaman Faruqui

“…By overcoming the limits of old approaches and using the power of ML, IP SafeGuard considerably boosts the efficiency and efficacy of current cybersecurity systems. …”
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Critical Smart Functions for Smart Living Based on User Perspectives by Benjamin Botchway, Frank Ato Ghansah, David John Edwards, Ebenezer Kumi-Amoah, Joshua Amo-Larbi

“…Thus, this study aims to identify and examine the critical smart functions to achieve smart living in smart buildings based on occupants’ perceptions. The aim is achieved using a sequential quantitative research method involving a literature review and 221 valid survey data gathered from a case of a smart student residence in Hong Kong. …”
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