Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices by Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, Abror Shavkatovich Buriboev, Azizjon Meliboev, Bahodir Muminov, Heung Seok Jeon

“…This study proposes a lightweight and efficient RetinaNet variant tailored for medical edge device deployment. …”
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Transcriptomic and Metabolic Analysis Reveal Potential Mechanism of Starch Accumulation in <i>Spirodela polyrhiza</i> Under Nutrient Stress by Xin Fang, Yan Hong, Yang Fang, Li Cheng, Zhaofeng Li, Caiming Li, Xiaofeng Ban

“…Under nutrient stress, the culture solution was replaced with deionized water. The starch content increased from 1.95% to 41.71% (dry weight) after 2 days of nutrient stress induction. …”
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STT-Net: Simplified Temporal Transformer for Emotion Recognition by Mustaqeem Khan, Abdulmotaleb El Saddik, Mohamed Deriche, Wail Gueaieb

“…Emotion recognition is one of the crucial topics in computer vision to efficiently recognize the expression of humans through faces. …”
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DEMNet: A Small Object Detection Method for Tea Leaf Blight in Slightly Blurry UAV Remote Sensing Images by Yating Gu, Yuxin Jing, Hao-Dong Li, Juntao Shi, Haifeng Lin

“…Additionally, a novel CMLAB module replaces the traditional C2f structure, employing multi-scale convolutions and local attention mechanisms to recover semantic information in blurry regions and better detect densely distributed small targets. …”
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Iterative Fast Super-Twisting Flux Sliding Mode Observer for SPMSM with Tangent Quadrature Phase-Locked Loop by Fujiong Zhao, Yunxia Xie, Jianfeng Mao, Yingjie Xu, Gaosheng Li, Rongsheng Jia, Weigang Wang

“…Comparative experimental results demonstrate that the IFST-FSMO combined with TQPLL exhibits superior dynamic response and steady-state accuracy, while achieving efficient speed reversal.…”
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Feasibility Assessment of Bioethanol Production in Arid Regions using Date Palm Feedstock by Hossein Yousefi, Sanaz Tabasi, Ali Mohammadi

“…To achieve these targets, fossil fuels should be replaced by the renewable energies. One of the important renewable energies is biomass that gradually has become more popular for its production technology in recent years. …”
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Ultrasonic Spray Coating of Carbon Fibers for Composite Cathodes in Structural Batteries by Thomas Burns, Liliana DeLatte, Gabriela Roman-Martinez, Kyra Glassey, Paul Ziehl, Monirosadat Sadati, Ralph E. White, Paul T. Coman

“…However, achieving uniform and efficient coatings of active materials on carbon fibers remains a major challenge, limiting their scalability and electrochemical performance. …”
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Design and Optimization of a Compliant Morphing Trailing Edge for High-Lift Generation by Salvatore Ameduri, Bernardino Galasso, Maria Chiara Noviello, Ignazio Dimino, Antonio Concilio, Pietro Catalano, Francesco Antonio D’Aniello, Giovanni Marco Carossa, Laurent Pinazo, John Derry, Britney Biju, Shruthi Shreedharan

“…The scope was to have an efficient predictive tool suited for optimization processes. …”
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YOLOv8-Scm: an improved model for citrus fruit sunburn identification and classification in complex natural scenes by Guoxun Cong, Guoxun Cong, Xinghong Chen, Xinghong Chen, Zongyu Bing, Zongyu Bing, Wenhuan Liu, Wenhuan Liu, Xiangling Chen, Qun Wu, Zheng Guo, Zheng Guo, Yongqiang Zheng, Yongqiang Zheng

“…Three key enhancements are introduced: (1) DSConv module replaces the standard convolution for a more efficient and lightweight design, (2) Global Attention Mechanism (GAM) improves feature extraction for multi-scale and occluded targets, and (3) EIoU loss function enhances detection precision and generalization. …”
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3L-YOLO: A Lightweight Low-Light Object Detection Algorithm by Zhenqi Han, Zhen Yue, Lizhuang Liu

“…Third, we introduce a dynamic detection head, which employs a cascade of spatial, scale, and channel attention mechanisms to enhance detection accuracy and robustness. Finally, we replace the original loss function with MPDIoU loss, improving bounding box regression and overall reliability. …”
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Exposed conductor detection of 10 kV distribution line based on improved YOLOv8 by Qiwen JING, Sipeng HAO, Siyuan LI

“…A detection method for exposed conductors in 10 kV distribution lines is proposd based on an improved YOLOv8 algorithm,which is designed to assist power grid maintenance personnel detecting conductor exposed defects quickly and efficiently. The algorithm replaces the original convolution with omni-dimensional dynamic convolution in the backbone network, enhancing the features of exposed conductors through multi-dimensional feature extraction. …”
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Operational Modal Analysis of Civil Engineering Structures with Closely Spaced Modes Based on Improved Hilbert–Huang Transform by Xu-Qiang Shang, Tian-Li Huang, Yi-Bin He, Hua-Peng Chen

“…In the improved HHT, AMD is first employed to replace EMD for decomposing the measured response into several mono-component modes. …”
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A Study on the Feasibility of LiFi in an Intra-Vehicular Data Transmission Application by Hongyu Guan, Manolo Dulva Hina

“…In this research project, a consortium of industrial and academic partners have decided to evaluate the maturity of LiFi technology by designing a demonstrator that showcases an efficient and speedy intra-vehicle data transmission system. …”
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BSE-YOLO: An Enhanced Lightweight Multi-Scale Underwater Object Detection Model by Yuhang Wang, Hua Ye, Xin Shu

“…Finally, we integrate Efficient Multi-Scale Attention (EMA) into the backbone and neck to improve feature extraction and fusion. …”
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Rapid adaptation to human protein kinase R by a unique genomic rearrangement in rhesus cytomegalovirus. by Stephanie J Child, Alexander L Greninger, Adam P Geballe

“…For example, rhesus CMV (RhCMV) can replicate in human cells, albeit much less efficiently than in rhesus cells. Previously we reported that the protein kinase R (PKR) antagonist encoded by RhCMV, rTRS1, has limited activity against human PKR but is nonetheless necessary and sufficient to enable RhCMV replication in human fibroblasts (HF). …”
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Environmental impact assessment of a cocoa shell pellet (CSP) combustion system: Effects of integrating an emission filtration system by A. D. Rincon-Quintero, Zirley Dayana Ardila-Caballero, Mauricio Ruiz-Ochoa, Camilo Leonardo Sandoval-Rodriguez, Luis Alfonso Del Portillo-Valdes

“…In addition, the potential energy was determined according to ASTM D4809-13, obtaining a higher heating value of up to 15.5 MJ/kg, thereby ensuring the efficient implementation of a combustion chamber with thermal storage that transfers heat to a forced-air drying system for food, replacing the use of fossil fuels in this methodology. …”
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Automatic Identification Model for Landslide Disaster Using Remote Sensing Images Based on Improved Multiresunet by Zhenyu Zhao, Shucheng Tan, Qinghua Zhang, Hui Chen

“…Initially, null convolutions with various null rates are introduced to replace some standard convolutions, thereby expanding the sensory field without increasing the parameter count and making the model more suitable for multi-scale landslide segmentation. …”
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Guidelines for implementing cleaner production strategies in a natural rubber gloves manufacturing industry by Muthukannan M, S. Saravanakumar, M.T. Sambandam, Umapathi K, R. Kamalakannan

“…Based on the audit, recommendations are proposed to install energy monitoring devices and replacing energy hunting motors and V-belts with efficient ones. …”
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Defect Detection Model for Catenary Components in Environments with Few Samples and Small Targets by YU Xiaosi, WEI Baoquan, LI Zewen, DENG Fangming

“…［Result & Conclusion］In the sample expansion part, the improved DCGAN model can improve the quality of generated samples by introducing several normalization operations and adding an efficient channel attention mechanism. In the model detection part, the improved ResNeXt-FPN (deep con-volutional neural network combining residual network and feature pyramid network) structure is used to replace the backbone network of the original YOLACT model, aiming to fully characterize the multi-scale features of the target. …”
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High-Precision Chip Detection Using YOLO-Based Methods by Ruofei Liu, Junjiang Zhu

“…This lightweight and efficient approach is particularly effective in detecting small-scale objects within images and accurately analyzing dynamic debris in video sequences, providing a robust solution for automated debris monitoring in machine tool processing applications.…”
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