Algorithm for Computationally Efficient Imaging of Sound Speed in Conventional Ultrasound Sonography by Piotr KARWAT

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Dual-stage feature specialization network for robust visual object detection in autonomous vehicles by Ze Liu, Junhua Wu, Yingfeng Cai, Hai Wang, Long Chen, Qingchao Liu

“…Existing two-stage object detection methods often suffer from feature interference between candidate region generation and classification regression tasks, leading to suboptimal performance in complex scenes. …”
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Dynamic 3D shape reconstruction under complex reflection and transmission conditions using multi-scale parallel single-pixel imaging by Zhoujie Wu, Haoran Wang, Feifei Chen, Xunren Li, Zhengdong Chen, Qican Zhang

“…Depth measurement and three-dimensional (3D) imaging under complex reflection and transmission conditions are challenging and even impossible for traditional structured light techniques, owing to the precondition of point-to-point triangulation. …”
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MEIS-YOLO: Improving YOLOv11 for efficient aerial object detection with lightweight design by Yicheng Liu, Jinsong Wu, Li Chen

“…Nevertheless, conventional object detection algorithms continue to encounter performance limitations, particularly when handling complex backgrounds and small objects. …”
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An EfficientNetv2-based method for coal conveyor belt foreign object detection by Tao Hu, Deyu Zhuang, Jinbo Qiu

“…This article proposes a foreign object detection method for coal conveyor belts based on EfficientNetv2. …”
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ResM-FusionNet for efficient landslide detection algorithm with a hybrid architecture by Xuqing Ren, Xu Wu, Donghao Zhai, Xiangpeng Wang, Ningbo He, Mehreen Tarif

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HiViT-IDS: An Efficient Network Intrusion Detection Method Based on Vision Transformer by Hai Zhou, Haojie Zou, Wei Li, Di Li, Yinchun Kuang

“…As Internet of Things (IoT) technology sees extensive adoption in smart agriculture, smart healthcare, and smart cities, emerging systems are increasingly confronted with complex and dynamic security threats. Intrusion Detection Systems (IDS), a key technology in network security, effectively enhance IoT system safety by detecting and monitoring anomalous activities. …”
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Multi‐scale feature extraction for energy‐efficient object detection in remote sensing images by Di Wu, Hongning Liu, Jiawei Xu, Fei Xie

“…Deep learning methods, especially one‐stage detectors, for example, the Real‐Time Object Detector (RTMDet) offers advanced solutions with efficient network architectures. Nevertheless, difficulty in feature extraction from complex backgrounds and target localisation in scale variations images limits detection accuracy. …”
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AG-Yolo: Attention-Guided Yolo for Efficient Remote Sensing Oriented Object Detection by Xiaofeng Wang, Chengshan Han, Liang Huang, Ting Nie, Xin Liu, Hao Liu, Mingxuan Li

“…But complex backgrounds in remote sensing images severely degrade detection performance. …”
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Ensemble of Efficient Vision Transformers for Insect Classification by Marius Alexandru Dinca, Dan Popescu, Loretta Ichim, Nicoleta Angelescu

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Evaluating YOLO Models for Efficient Crack Detection in Concrete Structures Using Transfer Learning by Muhammad Sohaib, Muzamal Arif, Jong-Myon Kim

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An Efficient License Plate Detection Approach Using Lightweight Deep Convolutional Neural Networks by Hoanh Nguyen

“…This paper proposes an efficient license plate detection method based on lightweight deep convolutional neural networks for improving the detection speed. …”
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EADetection: An efficient and accurate sequential behavior anomaly detection approach over data streams by Li Cheng, Yijie Wang, Yong Zhou, Xingkong Ma

“…Due to the increasing arriving rate and complex relationship of behavior data streams, how to detect sequential behavior anomaly in an efficient and accurate manner has become an emerging challenge. …”
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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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On Efficient DCT Type-I Based Low Complexity Channel Estimation for Uplink NB-IoT Systems by Md. Sadek Ali, Md. Shariful Islam, Muhammad Asif, Wali Ullah Khan, Fujiang Lin, Omer Waqar

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Laser Guard: Efficiently Detecting Laser-Based Physical Adversarial Attacks in Autonomous Driving by Lijun Chi, Mounira Msahli

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DSR-YOLO: A lightweight and efficient YOLOv8 model for enhanced pedestrian detection by Mustapha Oussouaddi, Omar Bouazizi, Aimad El mourabit, Zine el Abidine Alaoui Ismaili, Yassine Attaoui, Mohamed Chentouf

“…This paper presents DSR-YOLO, a pedestrian detection network that addresses critical challenges, such as scale variations and complex backgrounds. …”
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Efficient voltammetric analysis for total inorganic arsenic detection in rice with enhanced sensitivity and selectivity by Wei Tian, Jiawei Guo, Songxue Wang, Minghui Zhou, Yingjie He, Xingjun Xi, Xi Chen, Yue Wang, Yanxiang Wu, Jieqiong Zhang

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Transfer learning based EfficientNet method for transmission line insulator flaw detection by Aleena Swetapadma, Anamika Yadav

“…The accuracy of the method is found to be 99.9 % for both EfficientNetB3 and EfficientNetB5. EfficientNetB3 may be chosen as the optimal network owing to its high accuracy and less complex structure. …”
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Efficient tuna detection and counting with improved YOLOv8 and ByteTrack in pelagic fisheries by Yuanchen Cheng, Zichen Zhang, Yuqing Liu, Jie Li, Zhou Fu

“…The method uses YOLOv8n as the base model, enhanced with detail-enhanced convolution and a multi-scale feature fusion pyramid network, which significantly improves detection accuracy in complex marine environments. …”
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