A Semi-Supervised-Learning-Aided Explainable Belief Rule-Based Approach to Predict the Energy Consumption of Buildings by Sami Kabir, Mohammad Shahadat Hossain, Karl Andersson

“…This data availability becomes either expensive or difficult due to privacy protection. …”
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Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models by Tsumugi Isogami, Nobuyoshi Komuro

“…This paper presents a method for estimating arousal and emotional valence levels using non-contact environmental sensing, addressing challenges such as discomfort from long-term device wear and privacy concerns associated with facial image analysis. …”
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Using Digital Technology to Conduct COVID-19 Surveillance: A Systematic Review by Fitrisia Rahma, Fatmah Fatmah, Rachmadhi Purwana

“…Unique Contribution: This study emphasises the role of digital technologies in virus detection, monitoring, and prevention as a medium of infectious disease transmission, particularly in contact tracing, symptom monitoring, location tracking, and real-time data management. It highlights the challenges of privacy, data security, and public adoption issues. …”
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Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study by Jessica Rogan, Joseph Firth, Sandra Bucci

“…Interview data were analysed using reflexive thematic analysis. …”
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Bioethical implications of the use of digital technologies for mental health research during the social distancing period of the COVID-19 pandemic by Liliana Mondragón-Barrios, Gabriela Martínez-Levy, Adriana Díaz-Anzaldúa, Miguel Ángel Caballero-Gutiérrez, Luis Moncayo-Samperio

“…The need to apply ethical principles to protocols for mental health research using digital technologies was a central concern of ethics committees during the COVID-19 pandemic, which sought to ensure a fair selection of participants, appropriate adaptation of the informed consent process, protection of participants’ privacy, secure management of research data, and assessment of risks and benefits. …”
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Development of an intelligent intrusion detection system for IoT networks using deep learning by Haozhe Zhang

“…However, attack diversity, device heterogeneity, and traditional security limitations necessitate advanced data analysis. Researchers increasingly use deep learning, which excels in handling large-scale data, to develop robust intrusion detection systems. …”
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High-fidelity steganography in EEG signals using advanced transform-based methods by Enes Efe

“…The increasing prevalence of digital health solutions and smart health devices (SHDs) ensures the continuity of personal biometric data while simultaneously raising concerns about their security and privacy. …”
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Barriers and strategies for recruitment of pregnant women in contemporary longitudinal birth cohort studies by Slawa Rokicki, Amulya Gobburu, Melissa Weidner, Nashwah Azam, Michelle Jansen, Zorimar Rivera-Núñez, Adriana De Resende, Veenat Parmar, Gloria Bachmann, Nancy Reilly, Reynold Panettieri, Maria Gloria Dominguez-Bello, Daniel B. Horton, Martin J. Blaser, Emily S. Barrett

“…Five themes emerged: challenges in committing time and resources to a research study; utility of compensation and resources; fears that research procedures would negatively impact child; concerns regarding data privacy and children's consent; and benefits for their family, community, and society. …”
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Security of medical images over insecure communication channels using zero-steganography by Wadood Abdul

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Reporting the potential risk of using AI in higher Education: Subjective perspectives of educators by Marcel Pikhart, Liqaa Habeb Al-Obaydi

“…The findings reveal significant concerns about privacy risks, academic integrity, and the validity of AI-generated data. …”
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A Survey on Android Malware Detection Techniques Using Supervised Machine Learning by Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul

“…Android malware threatens users’ privacy, data security, and overall device performance. …”
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Pre-service English Teacher’s Perceptions About Learning Using Artificial Intelligence by Carolina Reyes Galindo, Oscar Manuel Narvaez Trejo, Esteban Fabian Perez Lobato

“…Using a mixed-methods approach, data were collected form 104 PSETs via a structured questionnaire and semi-structured interviews with eight-participants. …”
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Security analysis of cyber physical system using digital forensic incident response by Pranita Binnar, Sunil Bhirud, Faruk Kazi

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The Possibilities of Legal Leveling of Political, Organizational and Managerial Risks of Using Artificial Intelligence by Alexander S. Kiselev

“…The absence of human morality in artificial intelligence is emphasized, leading to ethical concerns regarding AI application, data privacy issues, the creation and spread of misinformation (for example, deepfakes), AI-driven discrimination, and unequal access to AI technologies. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

“…Moreover, federated learning systems present a promising solution for ensuring privacy and security when dealing with sensitive financial data. …”
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User Intent to Use DeepSeek for Health Care Purposes and Their Trust in the Large Language Model: Multinational Survey Study by Avishek Choudhury, Yeganeh Shahsavar, Hamid Shamszare

“…It was then distributed on the web to users in India, the United Kingdom, and the United States who had used DeepSeek within the past 2 weeks. Data analysis involved descriptive frequency assessments and Partial Least Squares Structural Equation Modeling. …”
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Using Digital Phenotyping to Discriminate Unipolar Depression and Bipolar Disorder: Systematic Review by Rongrong Zhong, XiaoHui Wu, Jun Chen, Yiru Fang

“…Digital phenotyping, which involves using data from smartphones or other digital devices to assess mental health, has emerged as a promising tool for distinguishing between these two disorders. …”
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Multi-Modal Comparative Analysis on Audio Dub Detection Using Artificial Intelligence by Divya Jennifer Dsouza, Anisha P. Rodrigues, Roshan Fernandes

“…The audio files are segmented using libROSA, the Python package for analysis of music and audio files. …”
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Insights Gained from Using AI to Produce Cases for Problem-Based Learning by Enjy Abouzeid, Patricia Harris

“…ChatGPT respects patient data privacy and confidentiality by abstaining from providing scanned images, and while AI can generate discussion questions for tutorials, it may require modification to enhance specificity and provoke critical thought. …”
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Generative AI on professional development: a narrative inquiry using TPACK framework by Buddhi Laxmi Lakhe Shrestha, Niroj Dahal, Md. Kamrul Hasan, Santosh Paudel, Hiralal Kapar

“…However, challenges such as technical skill gaps, ethical concerns about data privacy, and the risk of over-reliance on AI, which may hinder critical thinking and teacher-student rapport, were identified. …”
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