RANFIS-Based Sensor System with Low-Cost Multi-Sensors for Reliable Measurement of VOCs by Keunyoung Kim, Woosung Yang

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Enabling Predication of the Deep Learning Algorithms for Low-Dose CT Scan Image Denoising Models: A Systematic Literature Review by Muhammad Zubair, Helmi B. Md Rais, Fasee Ullah, Qasem Al-Tashi, Muhammad Faheem, Arfat Ahmad Khan

“…Computed Tomography (CT) is a non-invasive imaging modality used to detect abnormalities in the human body with high precision. …”
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A low-cost autonomous portable poultry egg freshness machine using majority voting-based ensemble machine learning classifiers by Jirayut Hansot, Wongsakorn Wongsaroj, Thaksin Sangsuwan, Natee Thong-un

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Anomaly detection in cropland monitoring using multiple view vision transformer by Xuesong Liu, Yansong Liu, He Sui, Chuan Qin, Yuanxi Che, Zhaobo Guo

“…This paper puts forward a novel Internet of Drones framework tailored for low-altitude operations. Anomaly detection, which is pivotal for ensuring the integrity of the entire system, poses a substantial challenge. …”
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A Review: Obstacle Perception Based on Panoramic Vision in Low-altitude Rotorcraft UAVs by Jiang Xiaoyan, Khairul Hamimah Abas, Abdul Rashid Husain

“…This paper focuses on key technologies for obstacle detection based on panoramic vision in UAVs. It reviews the current state of research and applications both domestically and internationally, covering aspects such as hardware platforms, key algorithms (including model correction, distortion correction, feature matching, image stitching), panoramic imaging, and omnidirectional obstacle detection. …”
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Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment by Zhun Wang, Xue Chen

“…Aiming at the problems of low detection rate and high false detection rate of intrusion detection algorithms in the traditional cloud computing environment, an intrusion detection-data security protection scheme based on particle swarm-BP network algorithm in a cloud computing environment is proposed. …”
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Advancing Real-Time Food Inspection: An Improved YOLOv10-Based Lightweight Algorithm for Detecting Tilapia Fillet Residues by Zihao Su, Shuqi Tang, Nan Zhong

“…The model demonstrates the best overall performance among many mainstream detection algorithms with a small model size (3.3 MB), a high frame rate (77FPS), and an excellent <i>mAP</i> (0.942). …”
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Optimized Error Detection and Correction in ATM Networks Using the Enhanced Berlekamp Massey Algorithm With Hybrid Automatic Repeat Request by Mahmut Aykac

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MSPB-YOLO: High-Precision Detection Algorithm of Multi-Site Pepper Blight Disease Based on Improved YOLOv8 by Xiaodong Zheng, Zichun Shao, Yile Chen, Hui Zeng, Junming Chen

“…In response to the challenges of low accuracy in traditional pepper blight identification under natural complex conditions, particularly in detecting subtle infections on early-stage leaves, stems, and fruits. …”
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Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology by Xu Zhaosheng, Liao Zhongming, Xiao Xiaoyong, Ahmad Suzana, Mat Diah Norizan, Ismail Azlan

“…Current object detection algorithms are not very good at handling complex road scenes, and public datasets do not always adequately represent city traffic. …”
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DS-YOLO: A dense small object detection algorithm based on inverted bottleneck and multi-scale fusion network by Hongyu Zhang, Guoliang Li, Dapeng Wan, Ziyue Wang, Jinshun Dong, Shoujun Lin, Lixia Deng, Haiying Liu

“…In the field of security, intelligent surveillance tasks often involve a large number of dense and small objects, with severe occlusion between them, making detection particularly challenging. To address this significant challenge, Dense and Small YOLO (DS-YOLO), a dense small object detection algorithm based on YOLOv8s, is proposed in this paper. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…All of the studies we did find were of low quality. Findings from these studies suggest pros and cons of using artificial intelligence: Artificial intelligence could improve nodule detection, with bigger improvements seen in detecting smaller nodules. …”
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Decision Feedback Equalization-Based Low-Complexity Interference Cancellation and Signal Detection Technique Based for Non-Orthogonal Signaling by Myung-Sun Baek, Hyoung-Kyu Song

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A Weak Signal Detection Method for Bearing Based on QGA and Stochastic Resonance by GE Jiang hua, WANG Yan, WANG Ya ping, SUN Yong guo, Xu Di

“…Aiming at the problems that the vibration signal is weak and the SNR is low in its early failure stage of rolling bearing, a weak signal detection method combining Quantum Genetic Algorithm (QGA) and Stochastic Resonance is proposed, which improves SNR and identifies fault location. …”
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An improved lightweight tiny-person detection network based on YOLOv8: IYFVMNet by Fan Yang, Lihu Pan, Hongyan Cui, Linliang Zhang

“…IntroductionIn the aviation field, drone search and rescue is a highly urgent task involving small target detection. In such a resource-constrained scenario, there are challenges of low accuracy and high computational requirements.MethodsThis paper proposes IYFVMNet, an improved lightweight detection network based on YOLOv8. …”
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Low-Power Portable System for Power Grid Foreign Object Detection Based on the Lightweight Model of Improved YOLOv7 by Yonghuan He, Rong Wu, Chao Dang

“…In order to meet the actual power grid foreign object detection needs, this paper proposes a low-power portable power grid detection system based on lightweight improved YOLOv7, which is designed to be deployed on low-power portable embedded devices while ensuring a balance between detection efficiency and accuracy. …”
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Outlier Traffic Flow Detection and Pattern Analysis Under Unplanned Disruptions: A Low-Rank Robust Decomposition Model by Zhipeng Duan

“…Outlier traffic flow detection under unplanned disruptions is vital for operational safety and management. …”
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A Dual Mode Detection Method for Unexploded Ordnance Based on YOLOv5 for Low Altitude Unmanned Aerial Vehicle by Zhongao Ling, Hui Zhao, Xu Zhao, Ziyu Liu, Wenbin Chen

“…Dataset augmentation has been implemented through the application of generative adversarial networks for image super-resolution reconstruction, thereby enhancing the robustness of the dataset. To tackle issues of low detection accuracy and inadequate background discrimination associated with a single information source, an integration of visible light and infrared data has been proposed to enhance the interpretability of the YOLOv5 algorithm, leading to improved detection performance. …”
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Influence-Based Community Partition with DegreeRank Label Propagation (DRLP) Algorithm for Social Networks by Mingwu Li, Ailian Wang, Xuyang Gao, Bolin Li

“…We also develop an update algorithm with low time complexity during the label selection process to ensure the sum of influence propagation is maximized within each community. …”
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Optimization of particle filter tracking algorithm based on weakly supervised attribute learning by Hui Zhang, Dawang Shen

“…Abstract This study proposes an optimization method for particle filter tracking algorithm to solve the issues of low recognition efficiency and poor tracking accuracy faced by existing target tracking algorithms in complex environments. …”
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