Distributed Photovoltaic Short-Term Power Prediction Based on Personalized Federated Multi-Task Learning by Wenxiang Luo, Yang Shen, Zewen Li, Fangming Deng

“…The federal learning framework is used to enhance the privacy of photovoltaic data and improve the model’s performance in a distributed environment. …”
Get full text

Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Federated learning ensures privacy-preserving data sharing in distributed energy systems, promoting collaboration without compromising security. …”
Get full text

A personalized federated learning approach to enhance joint modeling for heterogeneous medical institutions by Hong Ye, Xiangzhou Zhang, Kang Liu, Ziyuan Liu, Weiqi Chen, Bo Liu, Eric WT Ngai, Yong Hu

“…Background Federated Learning (FL) offers a privacy-preserving solution for multi-party data collaboration in smart healthcare. …”
Get full text

Exploring the Knowledge and Utilization of Video-Based Surgical Learning Among Medical Students in a Teaching Hospital in Nigeria: A Mixed-Methods Study by Asogun Daniel, Akhaine Jesu-Oboh Precious, Sulymon A. Saka, Vivian Oghobaghase, Ojeh-Oziegbe Oseyomon, Francis Ufuah, Adomi Solomon

“…Quantitative data were analyzed using SPSS version 21 for descriptive statistics, while thematic coding was applied to qualitative data using NVivo. …”
Get full text

Assessing the Effects of Cancer Diagnosis and Coping Strategies on Patients in Vhembe District Hospitals, Limpopo Province by Dorah Ursula Ramathuba, Takalani Friddah Rafundisani, Maria Sonto Maputle

“…A self-administered questionnaire was used to collect data, and the data were analyzed using a software package for descriptive statistics (SPSS version 23). …”
Get full text

AI-Driven Framework for Secure and Efficient Load Management in Multi-Station EV Charging Networks by Md Sabbir Hossen, Md Tanjil Sarker, Marran Al Qwaid, Gobbi Ramasamy, Ngu Eng Eng

“…The framework uses federated learning (FL) to protect data privacy and make decisions in a decentralized way, which lowers the risks that come with centralizing data. …”
Get full text

Healthcare professionals’ perspectives on artificial intelligence (AI)-based mobile applications (apps) for diabetes education and behavioural management by Phei-Ching Lim, Yung-Wey Chong, Qiu-Ting Chie, Hadzliana Zainal, Kok-Lim Alvin Yau, Soo-Huat Teoh

“…However, significant concerns were raised about accessibility for older adults, data privacy, and the apps’ ability to modify entrenched behaviours without human intervention. …”
Get full text

Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…The system guarantees data privacy and utilizes decentralized information analysis using Federated Learning. …”
Get full text

A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks by Muhammad Irfan Khalid, Ibtisam Ehsan, Ayman Khallel Al-Ani, Jawaid Iqbal, Saddam Hussain, Syed Sajid Ullah, Nayab

“…A decentralized network utilizing end-to-end encryption eliminates the risk of data loss associated with centralized data control by enabling clients to transmit their files securely. …”
Get full text

Barriers to access to care in the implementation of telemedicine in public hospitals in Southern Ethiopia: A phenomenological qualitative study. by Getachew Nigussie Bolado, Bizuayehu Atinafu Ataro, Christian Kebede Gadabo, Tamirat Ersino Kebamo, Worku Mimanu Minuta, Abenezer Duta Wolde

“…The data analysis was conducted using OpenCode 4.02 software, and a content thematic analysis was executed following Colaizzi's 7-step method.…”
Get full text

Human centered design of AI-powered Digital Therapeutics for stress prevention: Perspectives from multi-stakeholders' workshops about the SHIVA solution by Marco Bolpagni, Susanna Pardini, Silvia Gabrielli

“…Results: Stakeholders perceived AI-based data processing as beneficial for personalized treatment in a secure, privacy-preserving environment. …”
Get full text

GP remote consultations with marginalised patients and the importance of place during care: a qualitative study of the role of place in GP consultations by Ada Humphrey, Steven Cummins, Carl May, Fiona Stevenson

“…Results: The core themes emerging from the data included challenges securing privacy during remote consultations and the loss of formal healthcare spaces as important places of care. …”
Get full text

Analyzing the trend of government support for cloud computing usage in e-government architecture by Muhammad Younus, Eko Priyo Purnomo, Achmad Nurmandi, Dyah Mutiarin, Halimah Abdul Manaf, Fathiya Mumtaz, Tiara Khairunnisa

“…Overall, challenges persist, spanning from concerns regarding data safekeeping and privacy, but it also signifies a strategic transition towards harnessing digital technologies to provide more agile, citizen-focused public services.…”
Get full text

A Meta-Reinforcement Learning-Based Poisoning Attack Framework Against Federated Learning by Wei Zhou, Donglai Zhang, Hongjie Wang, Jinliang Li, Mingjian Jiang

“…As a distributed machine learning paradigm, federated learning enables clients to collaboratively train a global model without sharing their raw data, thus preserving data privacy while still utilizing the data. …”
Get full text

Generative Artificial Intelligence Tools in Medical Research (GAMER): Protocol for a Scoping Review and Development of Reporting Guidelines by Xufei Luo, Yih Chung Tham, Mohammad Daher, Zhaoxiang Bian, Yaolong Chen, Janne Estill

“…However, the increasing use of GenAI tools in medical research presents challenges, including ethical concerns, data privacy issues, and the potential for generating false content. …”
Get full text

Prescribing the Future: The Role of Artificial Intelligence in Pharmacy by Hesham Allam

“…This study delves into tools and methodologies enabling AI implementation, addressing ongoing challenges such as data privacy, algorithmic transparency, and ethical considerations while proposing actionable strategies to overcome these barriers. …”
Get full text

Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation by Olamilekan Shobayo, Reza Saatchi

“…While deep learning has demonstrated significant potential in enhancing diagnostic accuracy across multiple medical imaging modalities—including MRI, CT, US, and X-ray—factors such as model trust, data privacy, and ethical considerations remain ongoing concerns. …”
Get full text

Reducing Trade Document Processing Time Between Sri Lanka and its South Asian Neighbours by Applying Blockchain and Machine Learning Solutions by R. A. C. N. Rathnayake

“…This study investigates the potential of Blockchain (BC) and Machine Learning (ML) to reduce trade document processing time and improve trade efficiency. Using an explanatory sequence design, the research combines quantitative analysis of survey data with qualitative insights from case studies. …”
Get full text

A mixed-method study to inform the design of a video observed therapy app to monitor individuals with TB in the Dominican Republic by Julio Arturo Canario-Guzmán, Ricardo Elias-Melgen, Eddys Rafael Mendoza, Luis Felipe Arias, Roberto Espinal, Jeannette Báez, Sarah Iribarren

“…Data integration was achieved by comparing convergent and divergent results.ResultsParticipants expressed a positive attitude towards using DAT to facilitate communication with health personnel to support treatment adherence. …”
Get full text

Recommendations for Successful Development and Implementation of Digital Health Technology Tools by Rebecca Ting Jiin Loo, Francesco Nasta, Mirco Macchi, Anaïs Baudot, Frada Burstein, Riley Bove, Maike Greve, Holger Fröhlich, Sara Khalid, Arne Küderle, Susan L Moore, Valerie Storms, John Torous, Enrico Glaab

“…Key messages include the need to understand specific health care challenges, form interdisciplinary teams, incorporate patient feedback, select appropriate measurement technologies, ensure data integration and interoperability, apply advanced data science techniques, use scalable designs and open standards, comply with regulatory requirements, and maintain continuous evaluation and improvement. …”
Get full text