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 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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Artificial Intelligence Use in Daily and Professional Life among Pediatric Surgeons in India: A Roadmap for Adoption Based on Online Survey Results by Ankur Mandelia, Vinayak S. Rengan, Alish Rajesh Mehta, Aseesh Varma Vankam, Ramesh Babu, Sumitra Kumar Biswas, Vikesh Agrawal

“…Addressing barriers such as ethical concerns, data privacy, and cost could catalyze AI’s potential to revolutionize pediatric surgical care. …”
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How do we measure the costs, benefits, and harms of sharing data from biomedical studies? A protocol for a scoping review [version 2; peer review: 2 approved] by Lauren Maxwell, Ankur Krishnan, Priya Shreedhar

“…In this scoping review, we will identify and summarize existing evidence on the positive and negative impacts and costs of data sharing and how they are measured. Methods and analysis Eligible studies will report on qualitative or quantitative approaches for measuring the cost of data sharing or its impact on participant privacy, individual or public health, researcher’s careers, clinical or public health practice, or research or development. …”
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Revolutionizing Education: Harnessing Machine Learning and Deep Learning for Digital Examination Transformation by Shilpi Gautam, Asadi Srinivasulu

“…Furthermore, substantial concerns revolve around data security and privacy. The digital examination process entails the collection and secure storage of sensitive student data, raising worries about potential data security breaches and violations of privacy. …”
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Template recovery attack on encrypted face recognition systems with unprotected decision using synthetic faces by Amina Bassit, Amina Bassit, Florian Hahn, Zohra Rezgui, Hatef Otroshi Shahreza, Hatef Otroshi Shahreza, Raymond Veldhuis, Raymond Veldhuis, Andreas Peter, Andreas Peter

“…Even without system access or training data, attackers can exploit leaked comparison scores to compromise facial privacy. …”
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Innovation and Risk Avoidance of Smart Library Services Based on Generative Artificial Intelligence by Jia LIU

“…Technical risks include data security vulnerabilities and model bias, while ethical risks focus on the issues surrounding user privacy, misinformation, and intellectual property rights. …”
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Mental Health Classification Using Machine Learning with PCA and Logistics Regression Approaches for Decision Making by Hendra Hendra, Mustafa Mat Deris, Ika Safitri Windiarti

“…Mental health statistics come with numerous challenges, beginning with data integrity. Ensuring data accuracy and reliability is essential, especially if these datasets are to be used for advanced analysis or research. …”
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Enhancing Internet of Things security in healthcare using a blockchain-driven lightweight hashing system by Bassam W. Aboshosha, M. Mokhtar Zayed, Hany S. khalifa, Rabie A. Ramadan

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Product Engagement Detection Using Multi-Camera 3D Skeleton Reconstruction and Gaze Estimation by Matus Tanonwong, Yu Zhu, Naoya Chiba, Koichi Hashimoto

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CogTrack: A Proof of Concept for Cognition Tracker by Yesoda Bhargava, Kanthi Kumar Kattupalli, Veeky Baths

“…Additionally, we discuss how CogTrack may be advanced in the future and reflect on critical issues related to data privacy, confidentiality, ethics, scalability, and socio-medical factors which influence CogTrack adoption and acceptability. …”
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Enhancing retinal disease diagnosis through AI: Evaluating performance, ethical considerations, and clinical implementation by Maryam Fatima, Praveen Pachauri, Wasim Akram, Mohd Parvez, Shadab Ahmad, Zeinebou Yahya

“…However, several studies highlighted concerns about algorithmic bias, data privacy, and the need for diverse and representative datasets to ensure generalizability across different populations. …”
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A longitudinal study examining how self-injection social norms are associated with contraceptive self-injectable interest and use in rural Uganda by Erica Sedlander, Nitya Turaga, Catherine Birabwa, Ronald Wasswa, Beth Phillips, Dinah Amongin, Sneha Challa, Sylvie Nano, Betty Kyobe, Agnes Kayego, Peter Waiswa, Kelsey Holt

“…Methods We analyzed two waves of data from rural Uganda collected as part of the Innovations for Choice and Autonomy (ICAN) cohort study (n = 2,170 women of reproductive age who were not using self-injectable contraception at baseline). …”
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Standardized patient profile review using large language models for case adjudication in observational research by Martijn J. Schuemie, Anna Ostropolets, Aleh Zhuk, Uladzislau Korsik, Seung In Seo, Marc A. Suchard, George Hripcsak, Patrick B. Ryan

“…Abstract Using administrative claims and electronic health records for observational studies is common but challenging due to data limitations. …”
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Postgraduate Students Perception of Using Chatgpt in Clinical Management and Research: A Qualitative Exploratory Study by Muhammad Shah, Shimee Shahzadi, Shehzad Akbar Khan

“…RESULTS While ChatGPT saved research time, study participants reported that it also generated issues with data privacy and information accuracy. Power users felt the instrument was easier to use, although there was a range of comfort levels. …”
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Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient in Fog Computing by Prashanth Choppara, S. Sudheer Mangalampalli

“…This framework improves several critical performance metrics by 30%, reduces makespan, reduces fault tolerance by 25%, and improves system scalability and reliability by 20%. Data processing localization through our approach reduces bandwidth and latency usage by up to 40% and improves data privacy and efficiency in data management. …”
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Client aware adaptive federated learning using UCB-based reinforcement for people re-identification by Dinah Waref, Yomna Alayary, Nadeen Fathallah, Mohamed A. Abd El Ghany, Mohammed A.-M. Salem

“…Abstract People re-identification enables locating and identifying individuals across different camera views in surveillance environments. The surveillance data contains personally identifiable information such as facial images, behavioral patterns, and location data, which can be used for malicious purposes such as identity theft, stalking, or discrimination. …”
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