Simulation of Patch Field Effect in Space-Borne Gravitational Wave Detection Missions by Mingchao She, Xiaodong Peng, Li-E Qiang

“…These results establish a foundation for optimizing mitigation strategies against patch-induced noise in future space missions.…”
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Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8 by LUO Youlu, PAN Yonghao, XIA Shunxing, TAO Youzhi

“…[Methods]YOLOv8n model was selected to detect various leaf diseases such as brown rot, rust, apple scab, and sooty blotch that apples might encounter during growth. …”
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Solar panel fault diagnosis based on the intelligentrecursive method by Saadat Boulanouar, Fengal Boualem

“…Quantitatively, this method achieves high diagnostic accuracy (over 90%), reduces error rates by up to 30% under dynamic conditions, and provides real-time fault detection with minimal latency. …”
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Application of Particle Swarm Algorithm in Nanoscale Damage Detection and Identification of Steel Structure by Ying Zhang

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Abnormal Electricity Consumption Behaviors Detection Based on Improved Deep Auto-Encoder by Nvgui LIN, Lanxiu HONG, Daoshan HUANG, Yang YI, Zhixuan LIU, Qifeng XU

“…In order to accurately detect the abnormal electricity consumption behaviors for reducing the operating costs of power companies, a detection method of abnormal electricity consumption behaviors is proposed based on the improved deep auto-encoder (DAE). …”
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Fog node intrusion detection and response based on SVMIF and INSGA-II algorithm by Zhuojun Luo

“…To have a response behavior for protection when intrusion is detected, the study designed a fog node intrusion response method based on security policy decision and used improved non-dominated sorting genetic algorithms-II to select a more appropriate security decision. …”
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A Federated Learning Model for Detecting Cyberattacks in Internet of Medical Things Networks by Abdallah Ghourabi, Adel Alkhalil

“…Unlike traditional FL systems that rely on computationally intensive neural networks, our approach leverages XGBoost—a lightweight yet powerful algorithm—to train detection models locally on devices. The XGBoost models are further optimized using a Bayesian method and integrated with an aggregation algorithm to construct an adaptive global model. …”
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Design of a High-Voltage Insulation Resistance Detection System for Commercial Vehicles by Feng Guo, Danping She, Xinfeng Zhang, Yue Han

“…Through optimization and improvement of this methodology, an insulation detection system for new energy commercial vehicle power batteries was developed, along with a dynamic online calculation method for insulation resistance. …”
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Research on classification and detection of traffic signs based on tags combined with real scenes by Zhang Cheng, Zhang Ruibin, Wang Shudao

“…Experimental results show that the use of this method to generate training data can effectively train deep convolutional neural networks to achieve classification and detection of traffic signs in real scenes, and the optimized detection model has a smaller size and faster speed than the model mentioned in the article.…”
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Vibrational Resonance with Self-adaptive Frequency-Shifted and Scaling for Fault Detection of Bearings by MAO Cheng;SHEN Chunhe;CUI Yue;LI Linfeng;CHEN Manhua;CHEN Hui;XIE Zhanshan

“…Aiming to solve the difficulty of detecting the rolling element bearings defects in the early stage, which are used in water turbines and wind turbines, a vibrational resonance method with an adaptive frequency-shifted scaling is proposed. …”
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Safety Helmet Wearing Detection Based on Jetson Nano and Improved YOLOv5 by Zaihui Deng, Chong Yao, Qiyu Yin

“…Aiming to address the current shortcomings of the existing safety helmet wearing detection algorithms, including a slow reasoning speed, a large model size, and high hardware requirements, this study proposes an improved safety helmet wearing detection network named YOLOv5-SN, which is suitable for embedded deployment on Jetson Nano. …”
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PDSDC: Progressive Spatiotemporal Difference Capture Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…Experimental results demonstrate that our method outperforms state-of-the-art models in both detection accuracy and efficiency while maintaining real-time inference speed.…”
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An integrated approach of feature selection and machine learning for early detection of breast cancer by Jing Zhu, Zhenhang Zhao, Bangzheng Yin, Canpeng Wu, Chan Yin, Rong Chen, Youde Ding

“…Optimizing hyperparameters of five models using the Particle Swarm Optimization (PSO) algorithm. …”
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AS1411-Templated Fluorescent Cu Nanomaterial’s Synthesis and Its Application to Detecting Melamine by Lu Ga, Jun Ai, Yong Wang

“…In addition, the method was successfully applied in the detection of melamine in milk samples. …”
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Sugarcane Feed Volume Detection in Stacked Scenarios Based on Improved YOLO-ASM by Xiao Lai, Guanglong Fu

“…To address this, we propose YOLO-ASM (YOLO Accurate Stereo Matching), a novel detection method. At the target detection level, we integrate a Convolutional Block Attention Module (CBAM) into the YOLOv5s backbone network. …”
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Research on Seamless Fabric Defect Detection Based on Improved YOLOv8n by Qin Sun, Bernd Noche, Zongyi Xie, Bingqiang Huang

“…The improvement in this paper first introduces the SPPF_LSKA module, which not only optimizes the extraction of multi-scale features but also enhances the adaptability of the model in detecting defects of different sizes by improving the feature fusion mechanism, enabling efficient recognition of both large-sized and small-sized defects. …”
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DETERMINATION OF RELATED IMPURITIES IN THE ANILOCAINE SUBSTANCE BY HPLC METHOD by D. R. Sabirzyanov, Yu. N. Karpenko, T. L. Malkova, I. V. Alekseeva

“…An experiment on the selection of the conditions of chromatographically showed that optimal separation of anilocaine and possible impurities (identified and unidentified) by the method of reversed-phase HPLC is observed in isocratic mode, using an eluent based on phosphate buffer pH 3 and acetonitrile. …”
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Research on underwater target detection error compensation based on improved binocular vision by Wenhui Wang, Fumeng Ye, Yumin Peng, Shi Dong

“…A novel binocular vision error compensation method is proposed to solve the major error compensation problem caused by nonlinear distortion of camera and projector on underwater target detection. …”
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Application of CoLD-CoP to Detecting Competitively and Cooperatively Binding Ligands by Shiva V. Patnala, Roberto Robles, David A. Snyder

“…We extended the CoLD-CoP method to analyze spectra pairs (each in the presence of a protein) with or without a critical ligand, to detect both competitive and cooperative binding.…”
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Automated Anomaly Detection and Causal Analysis for Civil Aviation Using QAR Data by Xin Dang, Congcong Hua, Chuitian Rong

“…In the causal analysis process, the Shapley additive interpretation method is applied to produce analysis report for detected anomalies. …”
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