DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

“…In semi-supervised object detection (SSOD), the methods based on dense pseudo-labeling bypass complex post-processing while maintaining competitive performance compared to the methods based on sparse pseudo-labeling. …”
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A Method for Predicting Coal-Mine Methane Outburst Volumes and Detecting Anomalies Based on a Fusion Model of Second-Order Decomposition and ETO-TSMixer by Qiangyu Zheng, Cunmiao Li, Bo Yang, Zhenguo Yan, Zhixin Qin

“…The paper proposes a methane outburst volume-prediction and early-warning method. This method is based on a secondary decomposition and improved TSMixer model. …”
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Optimizing colorectal polyp detection and localization: Impact of RGB color adjustment on CNN performance by Jirakorn Jamrasnarodom, Pharuj Rajborirug, Pises Pisespongsa, Kitsuchart Pasupa

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Optimal Wavelengths for Multispectral Short Wavelength Infrared Transillumination and Reflectance Imaging for Caries Detection by Daniel Fried, Yihua Zhu

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Wireless Sensor Network Deployment: Architecture, Objectives, and Methodologies by Frantz Tossa, Yves Faga, Wahabou Abdou, Eugène C. Ezin, Pierre Gouton

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Optimized decomposition and identification method for multiple power quality disturbances by Wang Zhaoqing, Chang Yanzhao, Chen Jianlei, Bao Weiyu

“…Initially, an improved variational mode decomposition (IVMD) method is presented, leveraging an energy ratio criterion for precise decomposition of concurrent PQDs. …”
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Optimization of machine learning methods for de-anonymization in social networks by Nurzhigit Smailov, Fatima Uralova, Rashida Kadyrova, Raiymbek Magazov, Akezhan Sabibolda

“…In experiments conducted on real and synthetic data, the optimized models consistently outperform baseline methods on average. …”
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OPTIMIZATION OF SOIL POLLUTION MONITORING METHODS BY USE OF BIOLOGICAL TESTS by Elena BONCIU, Elena ROȘCULETE, Cătălin Aurelian ROȘCULETE, Aurel Liviu OLARU

“…From this point of view, the use of the Allium biological test can contribute to optimization of the methods of monitoring the chemical pollution of soil with herbicides.…”
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TDV-optimization: A novel numerical method for phytosociological tabulation by Tiago Monteiro-Henriques

“…Key features of this method include its ability to identify patterns very closely resembling manual phytosociological tabulation and to detect reticulate patterns. …”
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Deep Learning-Based Video Anomaly Detection Using Optimised Attention-Enhanced Autoencoders by Anjali S, Don S

“…Experiments on three benchmark datasets validate the efficacy of our method in precise anomaly detection through optimal thresholding. …”
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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

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Research on Optimization of Railway Obstacle Detection Model Based on Neural Architecture Search by YAO Weiwei, LYU Yu, ZHANG Huiyuan, XIONG Minjun, DONG Wenbo, LI Chen

“…To address this issue, this paper proposes a method for optimizing railway obstacle detection models based on zero-cost neural architecture search. …”
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Automatic melanoma detection using an optimized five-stream convolutional neural network by Vida Esmaeili, Mahmood Mohassel Feghhi, Hadi Seyedarabi

“…The simulation results of our proposed method are promising compared to the most relevant state-of-the-art methods for melanoma detection in dermoscopy images. …”
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Information Theory and Construction Methods of Complex Perception Systems by Jianjun GE, Siqi TANG, Mingqiang LI, Congying HAN, Tong WANG, Genjiu XU

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Optimization and validation of echo times of point-resolved spectroscopy for cystathionine detection in gliomas by Min Zhou, Zhuang Nie, Jie Zhao, Yao Xiao, Xiaohua Hong, Yuhui Wang, Chengjun Dong, Alexander P. Lin, Ziqiao Lei

“…Methods The TE of PRESS was optimized with numerical and phantom analysis to better resolve cystathionine from the overlapping aspartate multiplets. …”
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A Study on the Effect of Drift Factor on Feature Optimization in Electronic Nose Detection by Minhao Cai, Sai Xu, Xingxing Zhou, Huazhong Lu, Xing Liang

“…In our experiments, we found that the unweighted quadratic feature optimization method performs best in reducing the drift effect. …”
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Optimization of the road bump and pothole detection technology using convolutional neural network by Ding Haiping, Tang Qianlong

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An image processing technique for optimizing industrial defect detection using dehazing algorithms. by Xuanyi Zhao, Xiaohan Dou, Gengpei Zhang

“…Experimental results show that using an optimized dehazing processing method on industrial images affected by water fog achieves an average PSNR of 34.9 dB and an SSIM of 0.951. …”
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Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm by Pengzhen Zhou, Huifu Zhang, Wei Liang

“…Aiming at the problem of low detection accuracy of network traffic data types by traditional intrusion detection methods, we propose an improved Harris Hawk hybrid intrusion detection method to enhance the detection capability. …”
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Federated and ensemble learning framework with optimized feature selection for heart disease detection by Olfa Hrizi, Karim Gasmi, Abdulrahman Alyami, Adel Alkhalil, Ibrahim Alrashdi, Ali Alqazzaz, Lassaad Ben Ammar, Manel Mrabet, Alameen E.M. Abdalrahman, Samia Yahyaoui

“…We used particle swarm optimization (PSO) for feature selection, which optimized the most relevant features in conjunction with voting and stacking approaches to further increase the model's performance. …”
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