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. …”
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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. …”
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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. …”
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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 prominent application of this technology is its use in decentralized storage systems. Individuals in decentralized storage networks rent unused hardware storage space to other individuals. …”
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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. …”
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Prescribing the Future: The Role of Artificial Intelligence in Pharmacy by Hesham Allam

“…This research is grounded in a rigorous methodology, employing advanced data collection techniques. A comprehensive literature review was conducted using platforms such as PubMed, Semantic Scholar, and multidisciplinary databases, with AI-driven algorithms refining the retrieval of relevant and up-to-date studies. …”
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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. …”
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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. …”
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Overview of Modern Technologies for Acquiring and Analysing Acoustic Information Based on AI and IoT by Sabina Szymoniak, Łukasz Kuczyński

“…In recent years, using sound as a source of information in environmental monitoring systems has become increasingly important. …”
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Research on intrusion detection method for edge networks based on federated reinforcement learning by DING Kai, HUANG Yidu, TAO Ming, XIE Renping

“…However, as public awareness of privacy grows, many datasets are no longer shared, leading to the emergence of data silos, which hinders the improvement of IoT security. …”
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Artificial intelligence in intelligent transportation systems by Leila Zemmouchi-Ghomari

“…Nonetheless, issues like data quality, real-time processing, security, public acceptability, and privacy concerns need resolution. …”
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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. …”
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Application and Effectiveness of Modern Technologies in Sports Training - a Literature Review by Tomasz Włoch, Marcin Kwiatkowski, Tomasz Koziński, Marta Donderska, Paulina Bochniak, Jakub Kołacz, Patrycja Oleś, Mateusz Bryła, Zofia Bryła, Monika Szpaczyńska-Kwiatkowska

“…In spite of the encouraging developments, challenges abound in the form of data accuracy, privacy concerns, and the high cost of implementation. …”
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Artificial Intelligence and Quantum Technologies and Their Role in the Development of the U.S. Economy by Likhota Oleksandr V.

“…An equally important factor is the need for ethical regulation, as the development of AI may pose threats to human rights and data privacy. To achieve the set aim, the research employed analysis and synthesis methods, which allowed for a deeper assessment of the impact of new technologies on economic processes. …”
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Wearable Sensors for Ensuring Sports Safety in Children with Autism Spectrum Disorder: A Comprehensive Review by Ofir Arbili, Lior Rokach, Seffi Cohen

“…However, challenges remain regarding device usability, data privacy, and the need for further research to validate the effectiveness of these technologies in real-world sports environments. …”
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User preferences for an mHealth app to support HIV testing and pre-exposure prophylaxis uptake among men who have sex with men in Malaysia. by Lindsay Palmer, Jeffrey A Wickersham, Kamal Gautam, Francesca Maviglia, Beverly-Danielle Bruno, Iskandar Azwa, Antoine Khati, Frederick L Altice, Kiran Paudel, Sherry Pagoto, Roman Shrestha

“…., telehealth, patient identification), minimizing privacy and confidentiality risks. Our data suggest that a tailored HIV prevention app would be acceptable among MSM in Malaysia. …”
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Advancing communicative competence in the digital age: A case for AI tools in Japanese EFL education by Alexis Busso, Becky Sanchez

“…Finally, challenges and limitations are addressed, including ethical considerations surrounding data privacy, overreliance, predictive patterns, and watermarking. …”
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Efficient Deep Learning-Based Cyber-Attack Detection for Internet of Medical Things Devices by Abigail Judith, G. Jaspher W. Kathrine, Salaja Silas, Andrew J

“…The study evaluates the effectiveness of this proposed strategy using real-time data from the St. Louis Enhanced Healthcare Monitoring System (WUSTL-EHMS). …”
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Research participants' perception of ethical issues in stroke genomics and neurobiobanking research in Africa. by Ayodele Jegede, Olubukola Balogun, Olorunyomi Felix Olorunsogbon, Michelle Nichols, Joshua Akinyemi, Carolyn Jenkins, Mayowa Ogunronbi, Arti Singh, Reginald Obiako, Kolawole Wahab, Abiodun Bello, Albert Akpalu, Fred S Sarfo, Lukman F Owolabi, Babatunde Ojebuyi, Muyiwa Adigun, Dorcas Olujobi, Rabiu Musbahu, Musibau Titiloye, Ibukun Afolami, Benedict Calys-Tagoe, Ezinne Uvere, Ruth Laryea, Adekunle Fakunle, Osi Adeleye, Deborah Adesina, Nathaniel Mensah, Wisdom Oguike, Nathaniel Coleman, Sunday Adeniyi, Lanre Omotoso, Shadrack Asibey, Lois Melikam, Jibril Yusuf, Abdullateef Gbenga, Aliyu Mande, Muhammed Uthman, Rajesh N Kalaria, Mayowa Owolabi, Bruce Ovbiagele, Oyedunni Arulogun, Rufus O Akinyemi

“…These raise several ethical issues, such as consent, re-use, data sharing, storage, and incidental result of biological samples. …”
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AIoT: a taxonomy, review and future directions by Jiyi WU, Wenjuan LI, Jian CAO, Shiyou QIAN, Qifei ZHANG, Rajkumar BUYYA

“…AIoT (artificial intelligence of things) is an integrated product of artificial intelligence (AI) and internet of things (IoT).Currently, it has been widely used in smart cities, smart homes, smart manufacturing, and driverless.However, the research of AIoT is still in its infancy, facing with many problems and challenges.In order to clarify the concept and provide possible solutions, a comprehensive survey was carried out on AIoT.Firstly, a clear definition of AIoT was provided, along with the brief introduction on its background and application scenarios.And then a novel cloud-edge-end hybrid AIoT architecture for intelligent information processing was constructed.Based on the research framework of AIoT, the research status and solutions were discussed, including AI integrated IoT data acquisition, complex event processing and coordination, cloud-edge-end integration, AI-enhanced IoT security and privacy, and AI-based applications, etc.Finally, it identified the open challenges and offers future research directions.…”
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