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. …”
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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.…”
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Dynamic Trust-based Access Control with Hybrid Encryption for Secure IoT Applications by Velliangiri A, Damle Madhavi, Abraham Peter Soosai Anandaraj, Satish Babu Jampani

“…To increase security, the model uses a hybrid encryption scheme that combines elliptic curve cryptography (ECC) with lightweight symmetric encryption, ensuring data confidentiality with minimal computational overhead. …”
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Bi-Modal Multiperspective Percussive (BiMP) Dataset for Visual and Audio Human Fall Detection by Joe Dibble, Michael C. F. Bazzocchi

“…Typical fall detection systems classify a fall event using either inertial- or vision-based data. Aside from these two modes of input for fall detection, sparse human fall audio data is available. …”
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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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Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response by H. Mancy, Naglaa E. Ghannam, Amr Abozeid, Ahmed I. Taloba

“…IoT devices are adopted for sensing and data acquisition, adaptive learning for decision-making, and optimization of energy use among the agents in the system through metaheuristic algorithms. …”
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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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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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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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Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting by Shuai Jin, Qiang Li, Sanqiu Liu, Olebogeng Kevin Joel, Xiaohu Ge

“…Furthermore, federated learning is applied to the proposed method to exploit the spatio-temporal dependencies while protecting data privacy. As a result, a novel framework of Federated-Transformer-KAN is proposed to collaboratively forecast weather variables in a distributed manner, without sharing data that is collected by the intelligent sensors equipped at each weather station locally. …”
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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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Evaluation of ERP softwares with fuzzy AHP integrated TODIM method by A. Çağrı Tolga

“…Furthermore,the company's data privacy policy has been incorporated into the solutionprocedure with the fuzzy logic, which takes into account these drawbacks.Besides, it has been ensured that the cost criterion is integrated in adetailed manner. …”
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