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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Investigating feature extraction by SIFT methods for prostate cancer early detection by Shadan Mohammed Jihad, Ali A. Alsaud, Firas H. Almukhtar, Shahab Kareem, Raghad Zuhair Yousif

“…This research study, therefore, seeks to explore the effectiveness of the SIFT method in improving feature extraction toward the accurate detection of incipient prostate cancer. …”
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Detecting Simulated Nosocomial Disease Outbreaks with Sequential Monte Carlo Methods by Dr Conor Rosato

“…In this study, we propose a novel approach that extends the state-of-the-art for detecting nosocomial disease outbreaks using Sequential Monte Carlo methods, also known as particle filters (PFs). …”
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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

“…Finally, a Bi-modal dynamic decision method (BDDM) is devised to fuse appearance and motion information for hierarchical decision making. …”
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Tensor Network Methods for Hyperparameter Optimization and Compression of Convolutional Neural Networks by A. Naumov, A. Melnikov, M. Perelshtein, Ar. Melnikov, V. Abronin, F. Oksanichenko

“…In this work, we address these challenges using Tensor Network-based methods. For HPO, we propose and evaluate the TetraOpt algorithm against various optimization algorithms. …”
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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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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 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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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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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 Safety Detection Method for Electric Bike Riding Incorporating License Plate Region Recognition by Shaohui Zhong, Xiaofei Liu

“…Based on the YOLOv8 architecture, this method incorporates a feature pyramid network (FPN) to optimize multi-scale object detection capabilities, while introducing an attention mechanism to enhance the extraction of key features. …”
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Development and evaluation of optimized PCR and indirect ELISA for the detection of Morganella morganii in dairy cows by Meihua Zhang, Jiayi Li, Jianfeng Xue, Huiling Xu, Muzi Li, Yibo Xia, Changxi Qi, Pu Zhang, Yongxia Liu, Jianzhu Liu

“…To mitigate this risk, rapid and reliable diagnostic methods for detection are essential. Currently, detection methods for M. morganii are underdeveloped, prompting us to develop both pathogenic and serological detection methods, including an optimized PCR technique and an indirect enzyme-linked immunosorbent assay (I-ELISA).MethodsThe optimized PCR method utilized bacterial suspensions directly as templates, bypassing the need for DNA extraction and thereby allowing the direct detection of M. morganii in fecal samples. …”
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Integrating representation learning, permutation, and optimization to detect lineage-related gene expression patterns by Hannah M. Schlüter, Caroline Uhler

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