Computationally Enhanced UAV-Based Real-Time Pothole Detection Using YOLOv7-C3ECA-DSA Algorithm by Siti Fairuz Mat Radzi, Mohd Amiruddin Abd Rahman, Muhammad Khairul Adib Muhammad Yusof, Nurin Syazwina Mohd Haniff, Romi Fadillah Rahmat

“…Although YOLO-based algorithms have been widely adopted for their speed and efficiency in object detection, achieving a balance between high accuracy and low inference time remains a challenge, particularly in scenarios involving small objects and complex features. …”
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Estimation of River Velocity and Discharge Based on Video Images and Deep Learning by Ruiting Liu, Dianyi He, Neng Li, Xiaolei Pu, Jianhui Jin, Jianping Wang

“…Space-time image velocimetry (STIV) plays an important role in river velocity measurement due to its safety and efficiency. However, its practical application is affected by complex scene conditions, resulting in significant errors in the accurate estimation of texture angles. …”
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Exploiting Circular Shifts for Efficient Chaotic Image Encryption by Lazaros Moysis, Marcin Lawnik, Wassim Alexan, Sotirios K. Goudos, Murilo S. Baptista, George F. Fragulis

“…The permutation step combines actions of bit level rearranging, and bit shuffling. Circular shift operations are used for bit shuffling, to reduce the execution time. …”
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A Secure and Efficient White-Box Implementation of SM4 by Xiaobo Hu, Yanyan Yu, Yinzi Tu, Jing Wang, Shi Chen, Yuqi Bao, Tengyuan Zhang, Yaowen Xing, Shihui Zheng

“…We employ fourth-order non-linear encoding to reduce the loss of efficiency while utilizing a random sequence to shuffle lookup table access, thereby severing the potential link between memory data and the intermediate values of SM4. …”
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Evaluating Expert Opinion-Based Reservoir Operation in Cfa/Csa Climatic Conditions by Mahdi Sedighkia, Bithin Datta

“…The incorporation of expert opinions provides a practical, robust, and efficient framework for reservoir management in challenging climate conditions such as Cfa/Csa classes. …”
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SFG-YOLOv8: efficient and lightweight small-feature gesture keypoint detector by Weimin Che, Hui Zhang, Bangxue Wu, Qun Li, Hongji Zhang, Shilong Yuan, Hongcheng Yang

“…This paper introduces SFG-YOLOv8, an efficient and lightweight gesture keypoint detector designed for low-computational-power AR scenarios. …”
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Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection by Thomas Kinyanjui Njoroge, Kelvin Mugoye Shindu, Rachael Kibuku

“…This study proposes a lightweight multimodal fusion model integrating EfficientNetV2 and MobileNetV2, optimized for edge deployment. …”
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YOLO-GL for efficient multi-target detection in large FOV via hierarchical feature fusion by Xinyu Chen, Chengjun Dong, Tong Cui, Guangming Lv, Yan Ren

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YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles by Xinzhe Luo, Xiaogang Zhu

“…These findings underscore the efficiency and effectiveness of YOLO-SMUG, making it a promising solution for UAV-based infrared small object detection in complex environments.…”
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Innovative Ghost Channel Spatial Attention Network with Adaptive Activation for Efficient Rice Disease Identification by Yang Zhou, Yang Yang, Dongze Wang, Yuting Zhai, Haoxu Li, Yanlei Xu

“…To address the computational complexity and deployment challenges of traditional convolutional neural networks in rice disease identification, this paper proposes an efficient and lightweight model: Ghost Channel Spatial Attention ShuffleNet with Mish-ReLU Adaptive Activation Function (GCA-MiRaNet). …”
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LE-YOLOv5: A Lightweight and Efficient Neural Network for Steel Surface Defect Detection by Chengshun Zhu, Yong Sun, Hongji Zhang, Shilong Yuan, Hui Zhang

“…Due to the influence of manufacturing process and external factors, there will be some undesired defects on the steel surface, which seriously affects the lifetime of steel, and the traditional surface defect detection efficiency and speed are not satisfactory. Therefore, based on the industrial scenario of low computational force, this study proposed a lightweight and efficient defect detector called LE-YOLOv5. …”
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A Deep Learning and Explainable AI-Based Approach for the Classification of Discomycetes Species by Aras Fahrettin Korkmaz, Fatih Ekinci, Şehmus Altaş, Eda Kumru, Mehmet Serdar Güzel, Ilgaz Akata

“…In contrast, the EfficientNet-B4 model exhibited lower performance, achieving 89% accuracy, an 89% F1-score, and a 93% AUC. …”
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A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information by Simone Martino, Domiziano Doria, Chiara Lionello, Matteo Becchi, Giovanni M Pavan

“…Nonetheless, even the simplest descriptor can become as efficient (and even more) as advanced ones upon local-denoising of their signal. …”
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Operation standardization evaluation method based on improved YOLOv8n for ship equipment disassembly and assembly by Zhendong ZHANG, Cong GUAN, Zehui ZHANG, Chao WU, Xuewen DING

“…MethodsFirst, the backbone network of the ship equipment detection model is constructed using YOLOv8n, and the shuffle-attention (SA) mechanism is introduced to improve the model's feature extraction capability and training efficiency. …”
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AFCPOA-based optimal dispatch of hybrid PV-wind DGs for voltage stability and loss reduction in radial distribution network by Sunil Ankeshwarapu

“…These findings demonstrate AFCPOA’s superior ability to handle seasonal load variability and optimize RDG integration efficiently.…”
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Lightweight Evolving U-Net for Next-Generation Biomedical Imaging by Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin, Ziyat Kurbanov, Abdibayeva Tamara, Ishonkulov Nizamjon, Shakhnoza Muksimova, Young Im Cho

“…<b>Background/Objectives</b>: Accurate and efficient segmentation of cell nuclei in biomedical images is critical for a wide range of clinical and research applications, including cancer diagnostics, histopathological analysis, and therapeutic monitoring. …”
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Symbiont Community Changes Confer Fitness Benefits for Larvae in a Vertically Transmitting Coral by Daniel Olivares‐Cordero, Courtney Timmons, Carly D. Kenkel, Kate M. Quigley

“…Changes in the composition of symbiont communities, through the mechanisms of symbiont shuffling or switching, can modulate the host's thermal limits. …”
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Enhanced Distributed Computation for Machine Learning: Coded Strategies and Multidisciplinary Impact by Tian Xiaolin

“…This paper highlights the strategic importance of coded matrix computation and data shuffling in improving fault tolerance and reducing communication costs within machine learning operations, thereby enhancing the overall efficiency and reliability of large-scale data analytics.…”
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QuantumGS-Box—A Key-Dependent GA and QRNG-Based S-Box for High-Speed Cloud-Based Storage Encryption by Anish Saini, Athanasios Tsokanos, Raimund Kirner

“…Cloud computing has revolutionized the digital era by providing a more efficient, scalable, and cost-effective infrastructure. …”
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YOLOv8n-SMMP: A Lightweight YOLO Forest Fire Detection Model by Nianzu Zhou, Demin Gao, Zhengli Zhu

“…These advancements underscore the model’s superior performance in real-time forest fire detection, outperforming other mainstream lightweight YOLO models in both accuracy and efficiency.…”
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