ResM-FusionNet for efficient landslide detection algorithm with a hybrid architecture by Xuqing Ren, Xu Wu, Donghao Zhai, Xiangpeng Wang, Ningbo He, Mehreen Tarif

“…These findings indicate that the proposed method not only provides robust and accurate landslide detection but also enhances segmentation performance in complex terrains.…”
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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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HiViT-IDS: An Efficient Network Intrusion Detection Method Based on Vision Transformer by Hai Zhou, Haojie Zou, Wei Li, Di Li, Yinchun Kuang

“…To balance high detection accuracy with reduced time consumption, this study introduces an efficient intrusion detection approach based on the Vision Transformer (ViT), utilizing its powerful feature extraction capabilities to enhance performance. …”
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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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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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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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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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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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A secure and efficient deep learning-based intrusion detection framework for the internet of vehicles by Hasim Khan, Ghanshyam G. Tejani, Rayed AlGhamdi, Sultan Alasmari, Naveen Kumar Sharma, Sunil Kumar Sharma

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Impact of occupancy behavior on building energy efficiency: What’s next in detection and monitoring technologies? by Wenjie Song, John Calautit

“…Emerging transformer-based fusion architectures and vision-language models (VLMs) are also discussed, highlighting their potential for capturing complex spatial-temporal occupancy patterns and enabling multimodal, interpretable occupancy detection. …”
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A Novel Approach for Efficient Detection of Lotus Seedpod Maturity Using Compressed Models by Tao Tang, Min Jin, Gaohong Yu, Rui Feng, Bingliang Ye

“…This study aims to achieve efficient and accurate detection of lotus seedpod maturity in complex environments. …”
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Multidimensional Comprehensive Evaluation Method for Sonar Detection Efficiency Based on Dynamic Spatiotemporal Interactions by Shizhe Wang, Weiyi Chen, Zongji Li, Xu Chen, Yanbing Su

“…The detection efficiency evaluation of sonars is crucial for optimizing task planning and resource scheduling. …”
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An efficient and lightweight banana detection and localization system based on deep CNNs for agricultural robots by Zhenhui Zheng, Ling Chen, Lijiao Wei, Weihua Huang, Dongjie Du, Guoquan Qin, Zhou Yang, Shuo Wang

“…To our knowledge, this is the first work that implements banana detection and localization on edge devices. Experimental results show that compared with existing methods, our method achieves better performance in complex orchard environments, achieving efficient and lightweight banana recognition and localization.…”
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