Securing the IoT System of Smart City against Cyber Threats Using Deep Learning by Tanzila Saba, Amjad Rehman Khan, Tariq Sadad, Seng-phil Hong

“…IoT enhances productivity and efficacy intelligently using remote management, but the risk of security and privacy increases. …”
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Trust-Based Consensus and ABAC for Blockchain Using Deep Learning to Secure Internet of Things by Arunkumar Muniswamy, R. Rathi

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A Novel Deep Learning Model for Human Skeleton Estimation Using FMCW Radar by Parma Hadi Rantelinggi, Xintong Shi, Mondher Bouazizi, Tomoaki Ohtsuki

“…Human skeleton estimation using Frequency-Modulated Continuous Wave (FMCW) radar is a promising approach for privacy-preserving motion analysis. …”
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Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI by Arturs Nikulins, Edgars Edelmers, Kaspars Sudars, Inese Polaka

“…Despite their effectiveness, these networks face significant challenges, including the need for extensive annotated patient data, time-consuming manual segmentation processes and restricted data access due to privacy concerns. …”
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Depth-Based Intervention Detection in the Neonatal Intensive Care Unit Using Vision Transformers by Zein Hajj-Ali, Yasmina Souley Dosso, Kim Greenwood, JoAnn Harrold, James R. Green

“…An intervention detection method based solely on depth data was developed using a vision transformer (ViT) model utilizing real-world data from patients in the NICU. …”
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Adaptive Task Scheduling in Fog Computing Using Federated DQN and K-Means Clustering by Prashanth Choppara, S. Sudheer Mangalampalli

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Preliminary Electroencephalography-Based Assessment of Anxiety Using Machine Learning: A Pilot Study by Katarzyna Mróz, Kamil Jonak

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The use of modern e-health services including telemedicine and telepharmacy for remote patient care in Saudi Arabia by Farah K. Alhomoud

“…Participants reported perceived risks regarding privacy and data protection, and clinical risks associated with using e-health tools. …”
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Securing and optimizing optical transmission in quantum wells using OAM and advanced modulation techniques by Muhammad Ahmad, Zhiping Wang, Ming Fang, Zhixiang Huang, Guoda Xie

“…However, current optical transmission methods encounter challenges in efficiently transmitting data due to limited OAM mode generation, reduced transmission privacy, and high atmospheric turbulence. …”
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Exploring assessment methods used by Grade Four English First Additional Language Teachers by Kofi Nkonkonya Mpuangnan, Gladys Phumzile Mngomezulu, Samantha Govender

“…The researchers opted for a thematic analysis approach, allowing for a thorough examination of the data while respecting the privacy and confidentiality of the participants. …”
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A New Ultralightweight RFID Mutual Authentication Protocol: SASI Using Recursive Hash by Umar Mujahid, M. Najam-ul-Islam, Atif Raza Jafri, Qurat-ul-Ain, M. Ali Shami

“…Nonline of sight capability makes RFID systems much better choice than its contended systems (such as barcode, magnetic tape, etc.). Since the RFID uses wireless channel for communication with its associated devices, there should be some optimal encryption methods to secure the communicating data from adversaries. …”
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Decentralized federated learning using validation loss for model sharing in crop disease classification by Denis Mamba Kabala, Adel Hafiane, Laurent Bobelin, Raphaël Canals

“…Several AI methods have been employed for this purpose, but despite achieving good results, many challenges remain, such as protecting farmers’ data, using machine learning on edge devices, and employing collaborative learning. …”
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How to Write Effective Prompts for Screening Biomedical Literature Using Large Language Models by Maria Teresa Colangelo, Stefano Guizzardi, Marco Meleti, Elena Calciolari, Carlo Galli

“…Finally, we explore emerging trends, including multi-stage screening pipelines and fine-tuning, while noting ethical considerations related to data privacy and transparency. By applying systematic prompt engineering and rigorous evaluation, researchers can optimize LLM-based screening processes, allowing for faster and more comprehensive evidence synthesis across biomedical disciplines.…”
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Artificial intelligence methods used in various aquaculture applications: A systematic literature review by Thurein Aung, Rafiza Abdul Razak, Adibi Rahiman Bin Md Nor

“…However, the review also uncovered substantial challenges that will continue limiting widespread adoption, including restricted access to representative data, prohibitive expenses, technical complexities, lack of social acceptance, and data privacy and security concerns. …”
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Key challenges of launching national cryptocurrencies using extended FMEA under uncertainty environment by Zeynab Tghavi, Farid Ahmadi, Saeid Jafarzadeh Ghoushchi

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Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review by Lydie Bednarczyk, Daniel Reichenpfader, Christophe Gaudet-Blavignac, Amon Kenna Ette, Jamil Zaghir, Yuanyuan Zheng, Adel Bensahla, Mina Bjelogrlic, Christian Lovis

“…ResultsA total of 30 original studies were included in the analysis. All used observational retrospective designs, mainly using real patient data (n=28, 93%). …”
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Performance Evaluation and Analysis of LightCert4IoT Using Cooja-Contiki Simulator by David Khoury, Samir Haddad, Patrick Sondi, Gaby Abou Haidar, David Semaan, Jinane Sayah

“…Scalability, resource limitations, and privacy concerns are analyzed as IoT devices handle sensitive information, and the transparent and immutable nature of blockchain can raise data protection. …”
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A qualitative study on ethical issues related to the use of AI-driven technologies in foreign language learning by Marcel Pikhart, Blanka Klimova

“…The results also highlight several grave ethical issues related to privacy in foreign language learning apps. This is the first research drawing attention to the topic of ethical issues when using AI-driven foreign language learning apps and it can be considered a pioneering work in this neglected area.…”
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Development and implementation of an electronic health record system for use in humanitarian emergencies, disaster response, and conflict zones. by Sarah D Draugelis, Erik C Brown, Donald A Donahue, Justin Hickman, Sean G Smith, Philip Sutherland, George A Yendewa, Amir M Mohareb

“…Ongoing and future work in adapting electronic health records to international humanitarian response will emphasize data security, patient privacy, equity, and the rapid translation of electronic health data to improve population health. …”
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A Hybrid Deep Learning Framework for Deepfake Detection Using Temporal and Spatial Features by Fazeel Zafar, Talha Ahmed Khan, Salas Akbar, Muhammad Talha Ubaid, Sameena Javaid, Kushsairy Abdul Kadir

“…The system dissects video inputs into frames to extract features comprehensively by using Multi Test Convolutional Networks (MTCNN). …”
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