Secure and intelligent 5G-enabled remote patient monitoring using ANN and Choquet integral fuzzy VIKOR by Seelammal Chinnaperumal, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Doaa Sami Khafaga, Sekar Kidambi Raju, Marwa M. Eid, El-Sayed M. El-kenawy

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AI optimization algorithms enhance higher education management and personalized teaching through empirical analysis by XiWen Xu

“…The research also identifies challenges and limitations, including data privacy issues, algorithmic bias, and the need for human-AI interaction. …”
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A Denoising Diffusion Probabilistic Model-Based Human Respiration Monitoring Method Using a UWB Radar by Ping Wang, Haoran Liu, Xiusheng Liang, Zhenya Zhang

“…This paper proposes a denoising diffusion probabilistic model (DDPM)-based human respiration monitoring method using an ultra-wideband (UWB) radar, where the localization calculation of the target based on the respiration-motion energy ratio, maximum ratio combining (MRC), and principal component analysis (PCA) are included for data enhancement. …”
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Using telemedicine to support care for people with type 2 diabetes mellitus: a qualitative analysis of patients’ perspectives by Jun Yang Lee, Carina Ka Yee Chan, Siew Siang Chua, Thomas Paraidathathu, Kenneth Kwing-Chin Lee, Christina San San Tan, Nazrila Nasir, Shaun Wen Huey Lee

“…Four themes emerged from the analysis: (1) generational difference; (2) independence and convenience, (3) sharing of health data and privacy and (4) concerns and challenges. …”
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Federated learning-based CT liver tumor detection using a teacher‒student SANet with semisupervised learning by Cheng-Shun Lee, Jenn-Jier James Lien, Kai Chain, Li-Chun Huang, Zhong-Wei Hsu

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Metaheuristic-Based Cepstral Sensing Technique for Prolonging Network Lifetime and Mitigating Primary User Emulation Attacks in Cognitive Radio Sensor Network by V. Abilasha, A. Karthikeyan

“…Extensive simulations are used to analyze the proposed algorithm, incorporating important performance parameters including error probability, energy efficiency, residual energy, data gathering efficiency, network longevity, and throughput. …”
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Accessible IoT Dashboard Design with AI-Enhanced Descriptions for Visually Impaired Users by George Alex Stelea, Livia Sangeorzan, Nicoleta Enache-David

“…The proliferation of the Internet of Things (IoT) has led to an abundance of data streams and real-time dashboards in domains such as smart cities, healthcare, manufacturing, and agriculture. …”
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Synthetic Patient–Physician Conversations Simulated by Large Language Models: A Multi-Dimensional Evaluation by Syed Ali Haider, Srinivasagam Prabha, Cesar Abraham Gomez-Cabello, Sahar Borna, Ariana Genovese, Maissa Trabilsy, Bernardo G. Collaco, Nadia G. Wood, Sanjay Bagaria, Cui Tao, Antonio Jorge Forte

“…Background: Data accessibility remains a significant barrier in healthcare AI due to privacy constraints and logistical challenges. …”
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Women’s hospital birth experiences in Harar, eastern Ethiopia: a qualitative study using Roy’s Adaptation Model by Roseanne C Schuster, Nega Assefa, Maleda Tefera, Kedir Teji Roba, Letta Gedefa, Alex Brewis

“…Interviews were audio-recorded and transcribed on the spot and the interviews were analysed using a deductive content analysis approach. Data were analysed using the four components of Roy’s Adaptation Model (RAM) as a guiding framework of women’s experiences: physiological, self-concept, role and function, and interdependence.Results Various behaviours were identified: under physiological mode, common behaviours identified included labour pain, fatigue, surgical site pain and anaesthesia-related complication. …”
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Industry 4.0 in commercial airlines: a bibliometric analysis by Nicholas Omido, Rose Luke, Joash Mageto, Thomas Ombati, Thomas Ombati

“…Commercial airlines face numerous challenges related to operational inefficiencies, poor maintenance practices, overcrowding of airports, supply chain complexity, lack of seamless customer experience, safety issues, data privacy and security issues, increasing fuel prices, and sustainability issues; however, Industry 4.0 technologies are widely regarded as a transformative solution, offering advanced tools and methodologies to address these challenges effectively. …”
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Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports by Yuxin Liu, Xiang Zhang, Weiwei Cao, Wenju Cui, Tao Tan, Yuqin Peng, Jiayi Huang, Zhen Lei, Jun Shen, Jian Zheng

“…Specifically, missing category information (MCI) that is absent in the free-text reports is supplemented by assigning default values to the missing categories in the structured reports. To ensure data privacy, a locally deployed Qwen-Chat model is employed. …”
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Management of the Chain of Custody of Digital Evidence Using Blockchain and Self-Sovereign Identities: A Systematic Literature Review by Leandro Loffi, Gerson Luiz Camillo, Cristiano Antonio De Souza, Carla Merkle Westphall, Carlos Becker Westphall

“…While state-of-the-art reviews identify various aspects, it is necessary to include the use of Self-Sovereign Identity (SSI) systems within the scope of research. …”
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A Survey on Anti-Money Laundering Techniques in Blockchain Systems by Leyuan Liu, Xiangye Li, Tian Lan, Yakun Cheng, Wei Chen, Zhixin Li, Sheng Cao, Weili Han, Xiaosong Zhang, Hongfeng Chai

“…Furthermore, this study discusses the practical applications of these techniques and reviews commonly used datasets that support AML research. Looking ahead, the advancement of AML technologies in blockchain systems necessitates progress in several critical areas: the construction of AML datasets capable of addressing data imbalance and annotation uncertainty, development of trusted AML algorithms, design of detection mechanisms for covert financial activities, and formulation of privacy-preserving yet regulation-compliant AML solutions. …”
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Assessment of the Quality of Smartphone-Based Applications and Games for Teaching Medical Terminology Using the Mobile Application Rating Scale (MARS) by Seyyedeh Fatemeh Mousavi Baigi, Reyhaneh Norouzi Aval, Masoumeh Sarbaz, Khalil Kimiafar

“…The same checklist was used for data extraction. The quality of apps was measured using the Mobile App Rating Scale (MARS). …”
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"I don't see a reason why we should be hidden from view": Views of a convenience sample of people living with HIV on sharing HIV status data in routinely collected health and care... by Elizabeth Ford, Katie Goddard, Michael Smith, Jaime Vera

“…The overarching theme was around trust, both the loss of trust experienced by participants due to previous negative or discriminatory experiences, and the need to slowly build trust in data-sharing initiatives. Further themes showed that participants were supportive of data being used for research and health care improvements, but needed a guarantee that their privacy would be protected. …”
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From bites to bytes: understanding how and why individual malaria risk varies using artificial intelligence and causal inference by Adèle Helena Ribeiro, Júlia M. P. Soler, Rodrigo M. Corder, Marcelo U. Ferreira, Marcelo U. Ferreira, Dominik Heider

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Advanced intrusion detection technique (AIDT) for secure communication among devices in internet of medical things (IoMT) by M. Ramya, Pradeep Sudhakaran, Yuvaraj Sivagnanam, C. Santhana Krishnan

“…Considering the aforementioned, this study suggests an advanced intrusion detection technology (AIDT) to guarantee safe data exchange amongst IoMT devices. The model uses a probabilistic neural network (PNN) to classify whether intrusions are present or not, and particle swarm optimization (PSO) for feature extraction. …”
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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…Detection methods currently face challenges due to the complex and enormous amounts of data inherent in IoV systems. This paper presents a new approach toward improving DDoS attack detection by using the Gini index in feature selection and Federated Learning during model training. …”
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Using Logs to Reduce the Impact of Process Variability and Dependence on Practitioners in Requirements Engineering for Traditional Business Process Automation Software by Thiago Medeiros de Menezes, Ana Carolina Salgado

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ReACT_OCRS: An AI-Driven Anonymous Online Reporting System Using Synergized Reasoning and Acting in Language Models by Amir Aboubakr Shaker Mahmoud, Wesam Shishah, Nilay R. Mistry

“…Victims and witnesses of cybercrime often hesitate to report incidents due to concerns over privacy, complexity, and fear of retaliation. Traditional reporting mechanisms require manual data entry, creating accessibility barriers and delaying response times. …”
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