Log Anomaly Detection Method Based on Transformer and Temporal Convolutional Networks by Niandong Liao, Zihan Liu

“…To overcome these difficulties, this study proposes TranConvAD, a global and local feature extraction method for log anomaly detection. The method extracts multidimensional features of logs from three perspectives: time, risk level, and message content, and designs FastText and BERT based multi-type word embedding methods for generating log representation vectors, aiming to minimize noise introduction and information loss. …”
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OBJECT DETECTION METHOD APPLICATION TO RUNWAY IMAGERY IN LOW VISIBILITY CONDITIONS by D. S. Andreev

“…Conclusions about the possibility to use the studied methods in Enhanced Vision Systems are made. Further development of optimization methods is required to perform detection in video sequences in real time. …”
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Improved YOLOv8 Object Detection Method for Drone Aerial Images by Zhong Shuai, Wang Liping

“…A new improved YOLOv8 drone aerial image object detection method, referred to as the BDI-YOLO model, is proposed to address the problems of small target object size and blurry feature information in drone aerial images, which can lead to missed and false detections. …”
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Bottom Detection Method of Side-Scan Sonar Image for AUV Missions by Huapeng Yu, Ziyuan Li, Dailin Li, Tongsheng Shen

“…To address this problem, this study proposes an automatic detection method for the sea bottom line based on the actual experimental acquisition of SSS images, which is supposed to support the autonomous underwater vehicle (AUV) for intelligent target detection and classification. …”
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Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network by Liming Li, Shubin Zheng, Chenxi Wang, Shuguang Zhao, Xiaodong Chai, Lele Peng, Qianqian Tong, Ji Wang

“…This work presents a new method for sleeper crack identification based on cascade convolutional neural network (CNN) to address the problem of low efficiency and poor accuracy in the traditional detection method of sleeper crack identification. …”
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Defect Detection System on Stamping Machine Using the Image Processing Method by Nur Wisma Nugraha, Suharayadi Pancono, Gun Gun Maulana

“…It is proven by implementing a visual inspection system that gets an accuracy rate of 95.97% to detect rejected products and optimize the OEE presentation value obtained. …”
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Angle detection method for surface mount components based on weighted clustering by Chunfu ZHANG, Zhiqiang SONG

“…To validate the effectiveness of the proposed method, we conducted experimental tests on eight different types of chip packages and compared the results with those from two state-of-the-art line segment detection algorithms currently in use. …”
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Damage Detection Method for Road Ancillary Facilities Integrating Attention Mechanism by Shuang Yang, Huiqin Wang, Ke Wang, Nan Guo

“…Anti-glare reflective stickers, as essential road ancillary facilities on highways, play a crucial role in ensuring driver visibility during nighttime and adverse weather conditions. However, existing detection methods often suffer from low accuracy, high computational complexity, and large model sizes when dealing with complex backgrounds, small targets, and long-distance conditions. …”
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The Screening of Aptamers and the Development of a Colorimetric Detection Method for the Pesticide Deltamethrin by Caixia Wu, Wenwei Li, Jiafu Wang, Sheng Li

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An enhanced substation equipment detection method based on distributed federated learning by Zhuyun Li, Qiutong Qin, Yingyi Yang, Xiaoming Mai, Yuya Ieiri, Osamu Yoshie

“…The framework’s novelty lies in its dual focus: optimizing detection performance through architectural enhancements and ensuring secure, efficient distributed learning. …”
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Optimization and Quality Analysis of Different Extraction Methods of Palm Seed Oil by Qi-Zhao Li, Zheng-Qun Cai

“…The seed oil was analyzed and detected. The results showed that the water enzymatic extraction method was the best, and the optimal extraction conditions were as follows: enzymatic hydrolysis time 16 h, enzymatic hydrolysis temperature 50°C, and enzymatic content 2.0%. …”
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RPA-CRISPR/Cas12a detection based on HCMV-UL123 gene: A way with higher detection rate than clinical detection methods by Tianyang Liu, Yao Wang, Zihao Liao, Xiaowen Li, Shanshan Tang, Zhongming Zhang, Ming Chu, Lanlan Wei

“…The current clinical detection methods are insufficient in sensitivity, highlighting the need for more effective approaches. …”
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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

“…The proposed study combines deep learning with Differential Evolution optimization in a hybrid method to improve fake news detection accuracy and system efficiency. …”
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Dynamic Collaborative Optimization Method for Real-Time Multi-Object Tracking by Ziqi Li, Dongyao Jia, Zihao He, Nengkai Wu

“…Multi-object tracking still faces significant challenges in complex conditions such as dense scenes, occlusion environments, and non-linear motion, especially regarding the detection and identity maintenance of small objects. …”
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Optimal Tuning of Digital PID Controllers for Commercial BLDC Motors Using the Nelder–Mead Method by Nguyen Son T., Pham Tu M., Hoang Anh, Cao Trung T.

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Minimal Residual Disease Detection: Implications for Clinical Diagnosis and Cancer Patient Treatment by Meiling Song, Wenjing Pan, Xinjie Yu, Jie Ren, Congli Tang, Zhu Chen, Zhe Wang, Yan Deng, Nongyue He, Hongna Liu, Song Li

“…In hematological malignancies, MRD pose an increasingly serious threat to the health of Chinese people. Accurate MRD detection is essential for assessing relapse risk and optimizing therapeutic strategies, yet current methods such as flow cytometry, polymerase chain reaction (PCR), and next‐generation sequencing (NGS) each have distinct limitations, and significant gaps remain in achieving optimal sensitivity and specificity of these technologies. …”
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A Method of UAVs Route Optimization Based on the Structure of the Highway Network by Shuyun Niu, Jisheng Zhang, Fan Zhang, Honghai Li

“…Second, a multiobjective optimization model is proposed, its aim is to minimize the total cruise time under detecting as many important links as possible and minimize the information value undetected by UAVs, and the fuzzy operator is introduced to the constraint conditions. …”
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Optimization of Abdominal Cavity Limitation Method for Prolongation of Peritoneal Dialysis in Experiment by Kebkalo A., Hrianyla V., Reiti A., Yatsyk I.

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Detection of a Spatial Source Term Within a Multi-Dimensional, Multi-Term Time-Space Fractional Diffusion Equation by Mofareh Alhazmi, Yasser Alrashedi, Hamed Ould Sidi, Maawiya Ould Sidi

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Efficient early-stage disease detection in pomegranate (Punica granatum) using convolutional neural networks optimized by honey badger optimization algorithm by Sameera P, Abhay A. Deshpande

“…This study presents a novel method for early-stage disease detection in pomegranate using a convolutional neural network (CNN) and honey badger optimization algorithm (HBOA). …”
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