Establishment of an indirect ELISA method for detecting bovine coronavirus antibodies based on N protein by Qiang Liu, Xiaoxia Niu, Lingling Jiang, Gang Zhang, Pu Wang, Sinong Zhang, Weifeng Gao, Huichen Guo, Huichen Guo, Yujiong Wang, Yong Li

“…An indirect enzyme-linked immunosorbent assay (iELISA) based on N protein was established for the detection of BCoV antibodies. Reaction conditions were optimized using a checkerboard approach, with the optimal antigen concentration at 1.25 μg/mL and the optimal antibody dilution at 1:200, the cutoff value distinguishing negative and positive serum samples was 0.986. …”
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Application of Faster R-CNN Deep Learning Method for Rice Plant Disease Detection by Halim Pujiono, Anik Vega Vitianingsih, Slamet Kacung, Anastasia Lidya Maukar, Seftin Fitri Ana Wati

“…This study aims to apply the Faster Region Convolutional Neural Network (Faster R-CNN), a deep learning approach, to detect rice plant diseases. The Grid Search method was employed as a hyperparameter tuning technique to identify the optimal parameter combination for enhancing algorithm performance. …”
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Interpretable adaptive fault detection method for smart grid based on belief rule base by Yingmei Li, Yaopu Bai, Ruohan Yang, Zhichao Feng, Wei He

“…This method considers the adaptive updating of the search domain of the model accuracy to achieve the balance and optimization between the two conflicting objectives of the model interpretability and the detection accuracy. …”
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Research on the lightweight detection method of rail internal damage based on improved YOLOv8 by Xiaochun Wu, Shuzhan Yu

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ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects by Shouhong Ji, Jie Yan, Yang Liu, Guojun He

“…To solve these problems, a denoising method for enhanced magnetic memory detection signals based on ICEEMDAN and VMD, called ICEEMDAN–VMD, is proposed in this paper. …”
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A Comparative Study of Unsupervised Deep Learning Methods for Anomaly Detection in Flight Data by Sameer Kumar Jasra, Gianluca Valentino, Alan Muscat, Robert Camilleri

“…The innovation of this paper involves utilizing Transformer architecture and LSTM with self-attention mechanism for the first time in the realm of aviation data, exploring the optimal method for inputting flight data into a model and evaluating all deep learning techniques for anomaly detection against the ground truth determined by human experts. …”
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Transfer learning based EfficientNet method for transmission line insulator flaw detection by Aleena Swetapadma, Anamika Yadav

“…The proposed method uses a transfer learning-based EfficientNet model for insulator flaw detection. …”
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Methods of detection of adverse events in critical care: a protocol for a systematic review by Oleksa Rewa, Sandy Widder, Jocelyn Slemko, Janice Y Kung, Jay Gorman

“…Critically ill patients are at high risk of adverse events; however, the optimal approach to detection in this setting is unknown. …”
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Comparative analysis of data transformation methods for detecting non-technical losses in electricity grids by Maria Gabriel Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…Convolutional neural networks (CNN) have emerged as effective tools for automatically extracting features from raw data, but raw data often lacks the structure needed for optimal feature extraction. This study explores various methods for transforming energy consumption patterns into two-dimensional (2D) representations to enhance feature extraction and NTL detection. …”
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A Cost-Sensitive Small Vessel Detection Method for Maritime Remote Sensing Imagery by Zhuhua Hu, Wei Wu, Ziqi Yang, Yaochi Zhao, Lewei Xu, Lingkai Kong, Yunpei Chen, Lihang Chen, Gaosheng Liu

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Cancer Diagnosis Optimization With a Combination of Flexible THz Antennas and Machine Learning by M. Senthil Pandian, S. Deepa Nivethika, J. Idhikash, Vamsee N. Yashwanth, Aishwarya Shaji, Prabhakaran Paulraj

“…ABSTRACT Cancer continues to be a leading cause of mortality worldwide, emphasizing the importance of early detection for effective treatment. Macroscopic methods like X‐ray and CT scans offer limited resolution and pose risks due to ionizing radiation exposure. …”
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Artificial Intelligence and Internet of Things-Based Leak Detection Method for the Water Supply Network by Lianxiu Li, Huifan Chen

“…In addition, on the problem of leakage detection, the ALO algorithm is superior to the PSO algorithm in terms of optimization ability and search efficiency. …”
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A novel feature extraction method based on dynamic handwriting for Parkinson's disease detection. by Huimin Lu, Guolian Qi, Dalong Wu, Chenglin Lin, Songzhe Ma, Yingqi Shi, Han Xue

“…Given the easy accessibility of handwriting samples, many researchers have proposed handwriting-based detection methods for Parkinson's disease. Extracting more discriminative features from handwriting is an important step. …”
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A Nonlinear Compensation Method for Enhancing the Detection Accuracy of Weak Targets in FMCW Radar by Bo Wang, Tao Lai, Qingsong Wang, Haifeng Huang

“…This paper proposes a novel software-based correction method that integrates neural networks and joint optimization strategies to correct periodic phase errors. …”
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Research on grounding detection method for permanent magnet traction system in high-speed EMUs by BAI Long, LIU Ruichao, WANG Yongxiang, QIU Tengfei, ZHOU Yijie

“…To improve the accuracy of grounding fault diagnosis in the permanent magnet traction system of high-speed EMUs, this paper proposed a new grounding detection method suitable for permanent magnet traction systems. …”
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Research note: bright-field automated identification method for eggshell moist spots detection by Jiajie Yang, Lin Xuan, Guoxuan Huang, Anning Huang, Qi liu, Guiyun Xu, Jiangxia Zheng

“…Therefore, accurate detection methods aligning with consumer visual perception are crucial for optimizing commercial egg grading. …”
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Acoustic Signal Aided Detection Method of Spiral Bevel Gears Based on PSO-MCKD by Li Xianshan, Tian Yu, Wei Lilin, Zhao Xiaofeng, Yan Changfeng

“…Aiming at the problems of cumbersome operation and strong subjectivity of the traditional detection method for the transmission accuracy of spiral bevel gears, an acoustic signal-assisted detection method for judging the transmission accuracy of spiral bevel gears is proposed. …”
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Polarization-Enhanced Underwater Detection Method for Multiple Material Targets Based on Deep-Learning by Guochen Wang, Jie Gao, Yubin Chen, Xin Wang, Jiangtao Li, Khian-Hooi Chew, Rui-Pin Chen

“…Here a polarization-enhanced underwater multiple material target detection method is proposed to address these challenges. …”
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Sucker rod straightness measurement method based on probability statistics of edge point detection by Li Zhu, Yihua Kang

“…Abstract Straightness is the basic measurement parameter in machining, and the traditional straightness measurement methods such as light gap method, table method, et al., have extremely low measurement efficiency and cannot achieve online real-time high-precision detection. …”
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Residual host cell proteins: sources, properties, detection methods and data acquisition modes by Yifan Yao, Yifan Yao, Xuemei Wen, Xuemei Wen, Hongjuan Pan, Hongjuan Pan, Ziwei Chen

“…The research in the future includes the development of more efficient sample pretreatment methods and data processing techniques to improve the sensitivity and accuracy of detection. …”
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