Dual threshold cooperative spectrum sensing algorithm based on stochastic resonance by Shunlan LIU, Yide XIAO, Jianrong BAO

“…In view of the poor performance of the existing spectrum sensing algorithm in the low signal-noise ratio (SNR) environment and the limitations of traditional stochastic resonance (SR) detection methods for weak signals in practical applications,a dual threshold cooperative spectrum sensing algorithm based on stochastic resonance (DCSSR) by setting the optimal threshold was proposed and the optimal number of cooperative users was calculated.At last,the performance of the proposed algorithm was analyzed.This algorithm further improves the detection performance of the spectrum sensing algorithm under low signal-to-noise ratio by passing the statistical data located in the double-threshold uncertain region through a stochastic resonance system.Simulation results show that the detection performance of DCSSR algorithm is improved compared with traditional single threshold energy cooperation algorithm,double threshold energy cooperation algorithm and single threshold stochastic resonance cooperation algorithm.When the SNR is -20 dB,the proposed DCSSR algorithm improves the detection probability by 80% compared with the traditional single threshold energy detection cooperation algorithm.…”
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Low-complexity detection for MIMO visible light communication system using generalized spatial modulation by Wei-Chiang Wu, Gan-Lin Chen

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The Detection Optimization of Low-Quality Fake Face Images: Feature Enhancement and Noise Suppression Strategies by Ge Wang, Yue Han, Fangqian Xu, Yuteng Gao, Wenjie Sang

“…To address these limitations, this paper proposes a novel algorithm, YOLOv9-ARC, which is designed to enhance the accuracy of detecting low-quality fake facial images. …”
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Non-Invasive Detection of Breast Cancer by Low-Coverage Whole-Genome Sequencing from Plasma by Li Peng, Ru Yao, Sihang Gao, Yang Qu, Li Qu, Jingbo Zhang, Yidong Zhou

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Two-stage object detection in low-light environments using deep learning image enhancement by Ghaith Al-refai, Hisham Elmoaqet, Abdullah Al-Refai, Ahmad Alzu’bi, Tawfik Al-Hadhrami, Abedalrhman Alkhateeb

“…The second stage employs a computer vision algorithm for object detection. Three image enhancement algorithms—ZeroDCE++, Gladnet, and two-branch exposure-fusion network for low-light image enhancement (TBEFN)—were assessed in the first stage to enhance image quality. …”
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A Low-Cost Antipodal Vivaldi Antenna-Based Peanut Defect Rate Detection System by Yuanyuan Yin, Fangyan Ma, Xiaohong Liu, Shuhao Wang, Junjie Xia, Liqing Zhao

“…Differing from traditional and often expensive or complex detection methods, our approach utilizes a low-cost antipodal Vivaldi antenna, complemented by a custom-designed defect rate detection system. …”
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A New Background-Based Extraction Algorithm under Factor Space Theory by Yuxin Wang, Xiaoyu Bi

“…Based on the isolated forest algorithm, the background-based anomaly detection algorithm can identify and delete the anomalous points that will interfere with the background base extraction results, and the background-based anomaly detection uses each factor as an attribute to segment the data space, which is suitable for high-dimensional factor space; combined with α-shape, a new background base extraction algorithm, the base point detection algorithm, was proposed, which has low time and space complexity.…”
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Research Progress of Machine Learning Algorithms Applied in FSO Communication Systems by LIU Hainan, SHAO Yufeng, WANG Anrong, ZHU Yaodong, YANG Linjie, CHEN Chao, LI Wenchen, HU Wenguang

“…In this article, the research progress of applying typical machine learning algorithms in FSO communication systems in signal detection, channel estimation, auxiliary optical compensation, and other aspects are reviewed. …”
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Accurate detection of low concentrations of microplastics in soils via short-wave infrared hyperspectral imaging by Huan Chen, Taesung Shin, Bosoon Park, Kyoung Ro, Changyoon Jeong, Hwang-Ju Jeon, Pei-Lin Tan

“…Our study highlights the feasibility of the MCT hyperspectral imaging system for rapid and effective detection of microplastics in soils non-invasively at concentrations as low as 0.01%.…”
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Continuous Wavelet Transform-Based Method for High-Sensitivity Detection of Image Signals of Fluorescence Lateral Flow Assay by Tao Zhang, Xiaosong Wu, Qian Wang, Long Zhang, Zhigang Li, Yangyang Peng, Qian Bian, Hui Shi, Yong Liu, Shu Wang

“…To address this issue, we developed a fluorescence signal reader that employs CMOS imaging without optical filters and proposed a highly sensitive signal detection algorithm based on continuous wavelet transform (CWT) to identify weak fluorescence signals with low contrast. …”
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Optimization of computer network security system based on improved neural network algorithm and low energy data search by Miao Zhigang, Cao Ying, Wang Tao

“…A data search strategy with low energy consumption is designed to reduce the consumption of computing resources by optimizing data access and processing flow. …”
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Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

“…Image- and video-based yield estimation accuracies reached 89–96% and 75–93%, respectively, with single-frame latency as low as 0.047 s. By optimizing the full detection–tracking–yield pipeline, this solution overcomes challenges in small object missed detections, ID switches under occlusion, and real-time processing in complex scenarios. …”
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Charge‐coupled device based on optical tomography system for monitoring two‐phase flow by J. Jamaludin, R. Abdul Rahim, H. Abdul Rahim, M.H. Fazalul Rahiman, J. Mohd Rohani

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Low complexity decoder over time-selective fading channels by ZHANG Bi-jun, ZHU Guang-xi, SUN Jun, LIU Wen-ming

“…The intra symbol interferences within the all groups were firstly sup-pressed in virtue of the construction of orthogonal matrices and then obtained the all groups’ transmitted symbols based on the group detection technique using the simplified matrix inverse algorithm. …”
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Effective DDoS attack detection in software-defined vehicular networks using statistical flow analysis and machine learning. by Himanshi Babbar, Shalli Rani, Maha Driss

“…The proposed methodology aims to: (i) analyze statistical flow and compute entropy, and (ii) implement Machine Learning (ML) algorithms within SDN Intrusion Detection Systems for Internet of Things (IoT) environments. …”
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Artificial intelligence in lung cancer screening: assessment of the diagnostic accuracy of the algorithm analyzing low-dose computed tomography by S. P. Morozov, A. V. Vladzimirskiy, V. A. Gombolevskiy, V. G. Klyashtorny, I. A. Fedulova, L. A. Vlasenkov

“…The diagnostic accuracy of the artificial intelligence algorithm aimed to detect lesions on low-dose computer tomograms has been independently assessed. …”
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Novel Adaptive Hidden Markov Model Utilizing Expectation–Maximization Algorithm for Advanced Pipeline Leak Detection by Omid Zadehbagheri, Mohammad Reza Salehizadeh, Seyed Vahid Naghavi, Mazda Moattari, Behzad Moshiri

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YOLOv8-DBW: An Improved YOLOv8-Based Algorithm for Maize Leaf Diseases and Pests Detection by Xiang Gan, Shukun Cao, Jin Wang, Yu Wang, Xu Hou

“…To solve the challenges of low detection accuracy of maize pests and diseases, complex detection models, and difficulty in deployment on mobile or embedded devices, an improved YOLOv8 algorithm was proposed. …”
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Abstract 035: Workflow Improvements from Automated LVO Detection Algorithms Are Dependent on Care Team Engagement by Hussain M Azeem

“…Introduction Automated machine learning (ML)‐based large vessel occlusion (LVO) detection algorithms have been shown to improve in‐hospital workflow metrics including door to groin time (DTG). …”
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GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8 by Qiang Hu, Yunhua Zhang

“…In view of the issues of high complexity, significant computational resource consumption, and slow inference speed in the detection algorithm for grape leaf diseases, this paper proposes GCS-YOLO, a lightweight detection algorithm based on an improved YOLOv8. …”
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