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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Research on Network Intrusion Detection Model Based on Hybrid Sampling and Deep Learning by Derui Guo, Yufei Xie

“…This study proposes an enhanced network intrusion detection model, 1D-TCN-ResNet-BiGRU-Multi-Head Attention (TRBMA), aimed at addressing the issues of incomplete learning of temporal features and low accuracy in the classification of malicious traffic found in existing models. …”
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OFPoint: Real-Time Keypoint Detection for Optical Flow Tracking in Visual Odometry by Yifei Wang, Libo Sun, Wenhu Qin

“…To achieve multi-scale feature fusion in detection, we integrate the multi-scale attention mechanism. …”
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Flexi-YOLO: A lightweight method for road crack detection in complex environments. by Jiexiang Yang, Renjie Tian, Zexing Zhou, Xingyue Tan, Pingyang He

“…The AKConv convolution operation is employed to adaptively adjust the size of convolutions, further enhancing local feature capturing. Additionally, a lightweight network design is implemented, establishing G-Head (Ghost-Head) as the detection head to optimize the issue of feature redundancy. …”
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Tomato ripeness detection method based on FasterNet block and attention mechanism by Ming Chen, Yixuan Xu, Wanxiang Qin, Yan Li, Jiyang Yu

“…In addition, the SimAM attention mechanism is introduced, enabling the model to intelligently focus on key features of the tomatoes, thereby improving its ability to recognize tomatoes at different maturity stages and enhancing detection accuracy. …”
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Deep Learning-Based Method for Detecting Traffic Flow Parameters Under Snowfall by Cheng Jian, Tiancheng Xie, Xiaojian Hu, Jian Lu

“…Within this emerging trend, the ability to swiftly and accurately detect vehicles and extract traffic flow parameters from videos captured during snowfall conditions has become imperative for numerous future applications. …”
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Unobtrusive stress detection using wearables: application and challenges in a university setting by Peter Neigel, Andrew Vargo, Benjamin Tag, Koichi Kise

“…Additionally, institutional monitoring raises privacy concerns.MethodsIn this study, we analyze real-world data from a cohort of 103 Japanese university students to identify periods of cyclical stress while ensuring individual privacy through aggregation. …”
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A Federated Learning Model for Detecting Cyberattacks in Internet of Medical Things Networks by Abdallah Ghourabi, Adel Alkhalil

“…Experimental results demonstrate that, in addition to minimizing the risk of medical data leakage, our method achieves superior detection accuracy compared to centralized approaches.…”
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Evaluating Robotic Walker Performance: Stability, Responsiveness, and Accuracy in User Movement Detection by Larisa Dunai, Isabel Seguí Verdú, Sui Liang, Ismael Lengua Lengua

“…The main objective was to validate the device’s behavior in real-use scenarios by assessing its stability, responsiveness, and accuracy in detecting user movement. Tests were carried out in straight-line walking and on paths involving directional changes, both with and without motor assistance, using a cohort of five test users. …”
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Enhancing wheat yellow rust detection through modified deep learning approach by Shant Kumar, Rohit Singh, Sudheer Kumar, Sandeep Gupta

“…The study reports the effectiveness of machine learning and deep learning (ML/DL) algorithms in detecting yellow rust disease in wheat, keeping in view that early stage detection is crucial for minimizing the crop yield loss. …”
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Research progress of CRISPR/Cas systems in nucleic acid detection of infectious diseases by Jinying Dong, Yuguang Du, Lei Zhou

“…In this review, the development and mechanism of the CRISPR/Cas system are presented together with representative CRISPR/Cas applications in nucleic acid detection. Additionally, the review summarizes future perspectives and trends of the CRISPR/Cas system in nucleic acid detection.…”
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Contrast-Invariant Edge Detection: A Methodological Advance in Medical Image Analysis by Dang Li, Patrick Cheong-Iao Pang, Chi-Kin Lam

“…Edge detection methods are significant in medical imaging-assisted diagnosis. …”
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Detecting subsurface diseases on airport road surface based on an improved SSD algorithm. by Mengmeng Pan, Huiguang Chen, Lipeng Yang, XianRong Jiang

“…Compared with the existing classical target detection algorithms, EFA-SSD has the highest mean average precision (mAP) in detecting four types of subsurface diseases, which provides a new idea for subsurface disease detection and contributes to the protection of aviation safety.…”
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Optimization of the Naive Bayes Algorithm with SMOTETomek Combination for Imbalance Class Fraud Detection by Arief Tri Arsanto, Arif Faizin, Moch lutfi, Zulfatun Nikmatus Saadah

“…In addition, a combination of resampling techniques is also applied to overcome imbalanced classes in this dataset through the SMOTETomek approach. …”
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Abnormal noise detection of electric machines based on HPSS-CIS and CNN-CBAM by Zhao Qingsong, Wang Xiufeng, Luo Kun, He Dan, Liu Xiang

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Exosomes in ovarian cancer: Impact on drug resistance and advances in SERS detection techniques by Biqing Chen, Xiaohong Qiu, Yang Li

“…This article emphasizes the role of SERS in detecting ovarian cancer exosomes and advances in exosome detection.…”
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Research on foreign object intrusion detection in railway tracks based on MSL-YOLO by Hongxia Niu, Dingchao Feng, Tao Hou

“…This integration improves multi-scale feature representation and model efficiency. In addition, a Lightweight Shared Convolutional Detection Head (LSCD) is employed to replace the original head, reducing complexity while maintaining detection accuracy. …”
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CLINICAL AND EPIDEMIOLOGICAL ASPECTS OF SYPHILITIC VISCEROPATHY AND THE RELEVANCE OF EARLY DETECTION OF LIVER LESIONS by A.A. SYDIKOV, G.B. PYAGAY, A.K. MANGITOV

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Method of Credit Fraud Detection by Combining Sub-graph Selection and Neighborhood Filtering by TANG Xiaoyong, WANG Haodong

“…Credit fraud detection is a hot and difficult research topic in the field of financial fraud detection, especially fraud detection in the scenario of large-scale financial credit transactions. …”
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POCT Detection of Pseudomonas aeruginosa by PGM and Application of Preventing Nosocomial Infection of Bronchoscopy by Tao Wen, Houqi Ning, Yinping Yang, Jinze Zhang

“…Upon the presence of Pseudomonas aeruginosa, the monoclonal antibodies, the test sample, and the IMIc formed sandwich structures. The subsequent addition of a sucrose solution allowed for the detection of glucose produced through invertase hydrolysis by a personal glucose meter, enabling quantitative assessment of Pseudomonas aeruginosa concentration. …”
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