Fault-Tolerant Scheduling Mechanism for Dynamic Edge Computing Scenarios Based on Graph Reinforcement Learning by Yuze Zhang, Geming Xia, Chaodong Yu, Hongcheng Li, Hongfeng Li

“…With the proliferation of Internet of Things (IoT) devices and edge nodes, edge computing has taken on much of the real-time data processing and low-latency response tasks which were previously managed by cloud computing. …”
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Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model by Yihang Dong, Changhong Jing, Mufti Mahmud, Michael Kwok-Po Ng, Shuqiang Wang

“…Extensive experiments on the SEED and SEED-V datasets demonstrate the superior performance of the Emotion Preceptor and validate the effectiveness of the new data processing method that combines DE features in a temporal sequence. …”
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Recent Advancement in Postharvest Loss Mitigation and Quality Management of Fruits and Vegetables Using Machine Learning Frameworks by Abha Singh, Gayatri Vaidya, Vishal Jagota, Daniel Amoako Darko, Ravindra Kumar Agarwal, Sandip Debnath, Erich Potrich

“…Deep learning has shown to be a sophisticated approach for big data analysis, with several successful cases in image processing, object identification, and other domains. …”
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Investigating the Key Trends in Applying Artificial Intelligence to Health Technologies: A Scoping Review. by Tawil Samah, Merhi Samar

“…Additionally, ethical and privacy issues need careful consideration.…”
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Improved model for intrusion detection in the Internet of Things by Marina S. Amine, Fayza A. Nada, Khalid M. Hosny

“…IoT has become more efficient in processing large amounts of data in less time than before because it does not require human intervention. …”
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IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing by Shizun Sun, Shuo Han, Junwei Xu, Jie Zhao, Ziyu Xu, Lingjie Li, Zhaoming Han, Bo Mo

“…In foggy environments, infrared images suffer from reduced contrast, degraded details, and blurred objects, which impair detection accuracy and real-time performance. To tackle these issues, we propose IDDNet, a lightweight infrared object detection network that integrates multi-scale fusion dehazing. …”
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Concurrent validity and test reliability of the deep learning markerless motion capture system during the overhead squat by Kyungun Bae, Seyun Lee, Se-Young Bak, Hyo Sang Kim, Yuncheol Ha, Joshua H. You

“…To mitigate such inherent issues, we developed an accurate and usable (5-min data collection and processing) deep-learning-based 3-Dimensional markerless motion capture system called “Ergo”, designed for use in ecological digital healthcare environments. …”
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MARSweb: a fully automated web service for set-based association testing by Taegun Kim, Jaeseung Song, Jong Wha J. Joo

“…Results To address these issues, we proposed a fully automated web-based analysis service, MARSweb. …”
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Learning Omni-Dimensional Spatio-Temporal Dependencies for Millimeter-Wave Radar Perception by Hang Yan, Yongji Li, Luping Wang, Shichao Chen

“…Cameras and LiDAR are sensitive to illumination and weather conditions, while millimeter-wave radar avoids these issues. Existing models rely heavily on image-based approaches, which may not be able to fully characterize radar sensor data or efficiently further utilize them for perception tasks. …”
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Scalable fabrication of precise flexible strain sensors using organic semiconductor single crystals by Yoshihisa Usami, Yu Yamashita, Tomohiro Murata, Takafumi Matsumoto, Masataka Ito, Shun Watanabe, Jun Takeya

“…In this study, we present a comprehensive approach to address these issues through advanced device processing, design, and measurements. …”
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Gene therapy shines light on congenital stationary night blindness for future cures by Yi Zhang, Siqi Lin, Lingqi Yu, Xiang Lin, Shuai Qu, Qingyang Ye, Mengting Yu, Wenfeng Chen, Wenjie Wu

“…Abstract Congenital Stationary Night Blindness (CSNB) is a non-progressive hereditary eye disease that primarily affects the retinal signal processing, resulting in significantly reduced vision under low-light conditions. …”
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A qualitative descriptive analysis on generative artificial intelligence: bridging the gap in pedagogy to prepare students for the workplace by Andrea L. Irish, Michele W. Gazica, Vincent Becerra

“…To address these issues, the study recommends a systemic approach that integrates hands-on Gen AI training, ethical instruction, and industry-aligned curricula into higher education. …”
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Split RNA switch orchestrates pre- and post-translational control to enable cell type-specific gene expression by Itsuki Abe, Hirohisa Ohno, Megumi Mochizuki, Karin Hayashi, Hirohide Saito

“…Split RNA switches highlight the potential of post-translational processing as a versatile and comprehensive strategy for advancing mRNA-based therapeutic technologies.…”
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Selecting the optimal settings loading-unloading front of refrigerating warehouse by Ibragimov N.N., Ismatullaev A.F.

“…The article discusses the issue of determining the optimum number of refrigerated wagon deliveries to the cold store, the time of cargo operations and, ultimately, the search for the optimal processing capacity of loading and unloading fronts. …”
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Advanced low-power filter architecture for biomedical signals with adaptive tuning. by Ramasamy Srinivasagan

“…The major contribution in this work are the filter is made to operate in the weak inversion zone to reduce the area needed for the capacitor and the amount of power dissipated. Process variation is one of the major issues in the weak inversion regime. …”
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Examining corpus-based language pedagogy (CBLP) practices in data-driven learning (DDL) for low-proficiency L2 English learners: A meta-analysis by Jing Liu, Qing Ma

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Improving the Accuracy of Indoor Object Localization in the Internet of Things Using Recurrent Neural Networks (LSTM) in Challenging Environments by Hussein Aqeel Hussein, Mehdi Hamidkhani, Nasseer K. Bachache, Mohammadreza Soltan Aghaei

“…Increased optimization is a positive side-effect of harmonizing sparse autoencoders based on a feature selection process, and deep learning classifiers. The discovery must be the result of a cheap and deployable information technology, apart from crucial issues such as energy, noise, and the behavior of the moving objects, and actuators.…”
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Extraction and characterization of bark fibers from Ethiopian Ficus thonningii tree by Biruk Fentahun Adamu, Yohannes Shitahun, Simegn Adane, Terefe Aferu, Kalkidan Tadesse

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Accelerating Batched Power Flow on Heterogeneous CPU-GPU Platform by Jiao Hao, Zongbao Zhang, Zonglin He, Zhengyuan Liu, Zhengdong Tan, Yankan Song

“…This method, based on the fast decoupled method, combined with the tremendous parallel computing capability of GPUs with the multi-threaded parallel processing of CPUs, efficiently resolves the exceeding bus type conversion issues in GPU-batched power flow calculation and improves the accuracy of the power flow calculations. …”
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Retinal-ESRGAN: A Hybrid GAN Model Approach for Retinal Image Super-Resolution Coupled With Reduced Training Time and Computational Resources for Improved Diagnostic Accuracy by K. Deepthi, Aditya K. Shastry

“…Medical Image Super-Resolution has always been a subject of interest in medical image processing. However, super-resolved retinal images are a requisite tool for doctors to properly diagnose and treat ophthalmic diseases. …”
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