Building occupancy estimation using single channel CW radar and deep learning by Sourav Kumar Pramanik, Md. Shafkat Hossain, Shekh Md. Mahmudul Islam

“…Abstract Counting the number of people in a room is crucial for optimizing smart buildings, enhancing energy efficiency, and ensuring security while preserving privacy. This study introduces a novel radar-based occupancy estimation method leveraging a 24-GHz Continuous Wave (CW) radar system integrated with time-frequency mapping techniques using Continuous Wavelet Transform (CWT) and power spectrum analysis. …”
Get full text

Blockchain framework with IoT device using federated learning for sustainable healthcare systems by B. Bhasker, P. Muralidhara Rao, P. Saraswathi, S. Gopal Krishna Patro, Javed Khan Bhutto, Saiful Islam, Mohammed Kareemullah, Addisu Frinjo Emma

“…The proposed method achieves data privacy and security by 98.73%, intrusion detection efficiency by 97.16%, disease detection accuracy by 96.425, proactive healthcare management by 98.37%, and interoperability by 96.74%.…”
Get full text

Unobtrusive stress detection using wearables: application and challenges in a university setting by Peter Neigel, Andrew Vargo, Benjamin Tag, Koichi Kise

“…Advances in sensing accuracy and utility design in wearables might make this feasible; however, real-world adoption faces challenges, as users often fail to wear or use these devices consistently and correctly. Additionally, institutional monitoring raises privacy concerns.MethodsIn this study, we analyze real-world data from a cohort of 103 Japanese university students to identify periods of cyclical stress while ensuring individual privacy through aggregation. …”
Get full text

Cancelable finger vein authentication using multidimensional scaling based on deep learning by Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El-Latif

Get full text

Using social presence theory to predict online consumer engagement in the emerging markets by Abraham Yeboah, Ofosu Agyekum, Vida Owusu-Prempeh, Kwadwo Boateng Prempeh

Get full text

Heartbeat detection and personal authentication using a 60 GHz Doppler sensor by Takuma Asano, Shintaro Izumi, Hiroshi Kawaguchi

“…Unlike fingerprint and facial recognition systems, they offer authentication without physical contact or privacy concerns. This study focuses on non-contact seismocardiography using microwave Doppler sensors and aims to apply this technology for biometric authentication.MethodWe proposed a method for authenticating and identifying heartbeat signals through supervised learning using a conditional variational autoencoder (CVAE). …”
Get full text

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. …”
Get full text

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. …”
Get full text

Behavioral Drivers Influencing Women’s Decision to Use Self-Injectable Contraception Provided by Community Health Surveillance Assistants in Rural Malawi by Martha Kamanga, Dilys Walker, Address Malata, Mandaachepa Nyando, Jessie Salamba, Alaizi Nkhoma, Innocencia Mtalimanja, Tamanda Jumbe, Emas Potolani, Alfred Maluwa, Chifundo Zimba, Josophine Changole, Rabecca Bika, Emily Himes, Lauren Suchman, Janelli Vallin, Beth Phillips, Jenny Liu, Kelsey Holt

“…Introduction: Self-injection (SI) for contraceptive use is recommended for its proven ability to empower women and overcome barriers to contraceptive access. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Detection of Malicious Office Open Documents (OOXML) Using Large Language Models: A Static Analysis Approach by Jonas Heß , Kalman Graffi

Get full text

Security of medical images over insecure communication channels using zero-steganography by Wadood Abdul

Get full text

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. …”
Get full text

Deep Learning for Medical Image Analysis Applications in Disease Detection and Diagnosis by Panchadhyayee Swagata, N Shirisha, S Sureshkumar, Priya S Harthy Ruby, Ramalingam Vanaja, M Mahima

“…Its potential applications are indeed great, but realising its potential has been slow owing to a host of challenges such as implementing it in a real-life scenario, data privacy challenges, ethical concerns, AI models being biased, operating system structures needing to be interoperable with existing systems, and their compliance with regulating standards. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Security analysis of cyber physical system using digital forensic incident response by Pranita Binnar, Sunil Bhirud, Faruk Kazi

Get full text

Health Unchained Podcast on New Decentralized Industry Coalition by Ray Dogum

“…Concepts explored during the conversation include: • Financial systems interacting with health • AI agents interacting with AI agents, exchanging value and micro payments • Building frameworks that make it easy to consume for CIOs around globe • Blockchain transaction framework • AI analytical framework • Privacy preservation data complying with HIPAA and HL7 • Coming together to solve industry problems  • Real world implementations, use cases - including reporting, health data, and DeSci, clinical innovations and research, tokenization, ethical AI, and verifiable intelligence • Stable coins for cross border payments • Full access to data, and payments around globe • Supply chain ecosystem, pharmacy, pharma, insurance/payors, clinics, doctors, and patients • Who will new intermediaries be to move data, bill, and secure the data? …”
Get full text

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. …”
Get full text