Improving Telemedicine through IoT and Cloud Computing: Opportunities and Challenges by M. Sunil Kumar, D. Ganesh

“…Cloud computing's key role in telemedicine is investigated through its scalable data storage and processing capabilities, which manage the vast amounts of data generated by IoT devices. …”
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Asynchronous Real-Time Federated Learning for Anomaly Detection in Microservice Cloud Applications by Mahsa Raeiszadeh, Amin Ebrahimzadeh, Roch H. Glitho, Johan Eker, Raquel A. F. Mini

“…ML-based anomaly detection techniques mostly require centralized data collection and processing, which may raise scalability and computational issues in practice. …”
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High-Resolution DLP 3D Printing for Complex Curved and Thin-Walled Structures at Practical Scale: Archimedes Microscrew by Chih-Lang Lin, Jun-Ting Liu, Chow-Shing Shin

“…In contrast, digital light processing (DLP) 3D printing provides a more balanced alternative, offering operational convenience, lower cost, and print dimensions that are more compatible with practical microfluidic needs. …”
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Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes by Stijn Horck, Sanne Steens, Jermain Kaminski

“…Many healthcare organisations have extensive documentation detailing the processes behind their various research and innovation projects. …”
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Comparative Analysis of MVVM and MVP Patterns Performance on Android Dashboard System by Fajar Pradana, Raziqa Izza Langundi, Djoko Pramono, Nur Ida Iriani

“…Testing was conducted by measuring performance across three key aspects: central processing unit (CPU) usage, memory usage, and system response time. …”
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Evaluating Large Language Models for Preoperative Patient Education in Superior Capsular Reconstruction: Comparative Study of Claude, GPT, and Gemini by Yukang Liu, Hua Li, Jianfeng Ouyang, Zhaowen Xue, Min Wang, Hebei He, Bin Song, Xiaofei Zheng, Wenyi Gan

“… Abstract BackgroundLarge language models (LLMs) are revolutionizing natural language processing, increasingly applied in clinical settings to enhance preoperative patient education. …”
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Enhancing Predictive Urban Planning in European Smart Cities Through AI-Driven Digital Twin Technology: A Case Study of Greece by Dimitrios Kalfas, Stavros Kalogiannidis, Konstantinos Spinthiropoulos, Fotios Chatzitheodoridis, Evangelia Ziouziou

“…It considers the effect of specific elements including simulation accuracy, real-time data processing, artificial intelligence tools, and system readiness on the urban planning process. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…These issues often result in low accuracy, unreliable recognition rates, and slow convergence. …”
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Microbiology Test Results for White Edible Birds Nest with Fecal Contamination by Siti Gusti Ningrum, Ferdi Nur Ardiansyah, Hendra Aditiya Pratama, Hardika Dewi Erawati, Dian Ayu Kartika Sari

“…Addressing these issues is imperative not only to safeguard public health but also to sustain and further develop the lucrative edible bird nest industry in Indonesia.…”
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Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model by Tianchun Li, Wanting Zhu, Wenke Xia, Li Wang, Weiqi Li, Peiming Zhang

“…This study aims to enhance the classification accuracy of adverse events associated with the da Vinci surgical robot through advanced natural language processing techniques, thereby ensuring medical device safety and protecting patient health. …”
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Fraud Detection in Privacy Preserving Health Insurance System Using Blockchain Technology by Md. Mazharul Islam, Mubasshir Ahmed, Rajesh Palit, Mohammad Shahriar Rahman, Salekul Islam

“…The digitization of healthcare and the health insurance industry has amplified the need for robust and trustworthy systems that ensure data security and optimize the insurance claim process. To address these issues, this paper proposes a system that ensures patient anonymity through secure credentials and advanced fraud detection mechanisms. …”
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USD-YOLO: An Enhanced YOLO Algorithm for Small Object Detection in Unmanned Systems Perception by Hongqiang Deng, Shuzhe Zhang, Xiaodong Wang, Tianxin Han, Yun Ye

“…In the perception of unmanned systems, small object detection faces numerous challenges, including small size, low resolution, dense distribution, and occlusion, leading to suboptimal perception performance. To address these issues, we propose a specialized algorithm named Unmanned-system Small-object Detection-You Only Look Once (USD-YOLO). …”
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Application and Development of Firefighting Technologies in Industrial Heritage: Experiences and Insights from Macau by Linsheng Huang, Ying Huang, Yashan Chen, Senyu Lou, Yile Chen, Mengyan Jia

“…This study hopes to provide ideas and strategies for reference on industrial heritage fire protection issues in the development of similar world heritage cities.…”
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Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration by Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang

“…The study explores resource allocation in Federated Machine Learning (FedML) for the Industrial Internet of Things (IIoT), focusing on efficient and privacy-conscious data processing. It proposes optimizing the FedML training process to enhance system performance and ensure data privacy. …”
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American Sign Language Recognition Model Using Complex Zernike Moments and Complex-Valued Deep Neural Networks by Selda Bayrak, Vasif Nabiyev, Celal Atalar

“…CVDNNs are a powerful method capable of addressing the complex optimization issues of traditional deep neural networks more efficiently. …”
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What Should We Know to Predict Geomagnetically Induced Currents in Power Transmission Lines? by Pilipenko Vyacheslav, Kozyreva Olga, Belahovskiy Vladimir, Sakharov Yaroslav, Selivanov Vasiliy

“…This review considers several issues of space weather studies that are directly related to the problem of geomagnetically induced current (GIC) excitation in the power line transmission systems. …”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…To mitigate the interference of dynamic features, we propose a normalization feature learning block (NFLBlock) as the core component of NFLM for processing sequences. This module normalizes input data and uses a stacked multilayer perceptron to extract cross-temporal and cross-dimensional dependencies. …”
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Towards High-Resolution Population Mapping: Leveraging Open Data, Remote Sensing, and AI for Geospatial Analysis in Developing Country Cities—A Case Study of Bangkok by Kittisak Maneepong, Ryota Yamanotera, Yuki Akiyama, Hiroyuki Miyazaki, Satoshi Miyazawa, Chiaki Mizutani Akiyama

“…Challenges identified in mixed-use and townhouse building types are attributed to issues of misclassification and constraints in input data. …”
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Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…Abstract Data integrity and security issues are worsening with the emergence of new technologies such as 5G, IoT, AI, and Cloud. …”
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Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems by Natalya Denissova, Serik Nurakynov, Olga Petrova, Daniker Chepashev, Gulzhan Daumova, Alena Yelisseyeva

“…The analysis involved screening relevant studies on remote sensing, avalanche dynamics, and data processing techniques. Key data sources included satellite platforms such as Sentinel-1, Sentinel-2, TerraSAR-X, and Landsat-8, combined with machine learning, data fusion, and change detection algorithms to process and interpret the data. …”
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