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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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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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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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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Digital Evidence Acquisition System on IAAS Cloud Computing Model using Live Forensic Method by Didik Sudyana, Nora Lizarti

“…Because the acquisition model in general, it is done only to one operating system, while in virtualization there is more than one operating system, so the acquisition technique in general cannot be used because it takes only one operating system involved crime, and cannot acquire the whole data server related privacy data in other virtual operating systems. …”
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A Pipeline for Automating Emergency Medicine Documentation Using LLMs with Retrieval-Augmented Text Generation by Denis Moser, Matthias Bender, Murat Sariyar

“…Large Language Models (LLMs) offer a promising solution to enhance medical communication systems; however, their clinical deployment, particularly in non-English languages such as German, presents challenges related to content accuracy, clinical relevance, and data privacy. This study addresses these challenges by developing and evaluating an automated pipeline for emergency medical documentation in German. …”
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Optimization of Cleaning and Hygiene Processes in Healthcare Using Digital Technologies and Ensuring Quality Assurance with Blockchain by Semra Tebrizcik, Süleyman Ersöz, Elvan Duman, Adnan Aktepe, Ahmet Kürşad Türker

“…The permissioned nature of Hyperledger Fabric provides a more secure solution compared to traditional data management systems in the healthcare sector while preserving data privacy. …”
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GAN-Based Driver’s Head Motion Using Millimeter-Wave Radar Sensor by Hong Nhung Nguyen, Yong-Hwa Kim

“…This model is particularly effective in scenarios with limited labeled data, as it can generate high-quality synthetic data to augment training. …”
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Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform. by Anjir Ahmed Chowdhury, S M Hasan Mahmud, Md Palash Uddin, Seifedine Kadry, Jung-Yeon Kim, Yunyoung Nam

“…To protect data privacy, the framework employs a FedAvg-based federated learning scheme, enabling decentralized training without exposing sensitive data. …”
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Partial image encryption using format-preserving encryption in image processing systems for Internet of things environment by Wonyoung Jang, Sun-Young Lee

“…This article proposes a method for partially encrypting private information in images using FF1 and FF3-1. The proposed method encrypts private information without increasing the data size, solving the problem of wasted storage space. …”
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Federated Learning-Based State of Charge Estimation in Electric Vehicles Using Federated Adaptive Client Momentum by Metin Yilmaz, Eyup Cinar, Ahmet Yazici

“…The proposed method is initially validated via experimental results using the collected data from Musoshi L5 type EV. …”
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Monitoring oral health remotely: ethical considerations when using AI among vulnerable populations by Colman McGrath, Chun Wang Reinhard Chau, Gustavo Fabián Molina

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A framework for systematically applying humanistic ethics when using AI as a design material by Kyle Dent, Richelle Dumond, Mike Kuniavsky

“…Because AI-supported and autonomous decision making has the potential for widespread negative personal, social, and environmental effects, we aim to take a proactive stance to uphold human rights, respect individuals’ privacy, protect personal data, and enable freedom of expression and equality. …”
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