Experimental study on solution possibilities of multiextremal optimization problems through heuristic methods by Rudolf A. Neydorf, Ivan V. Chernogorov, Orkhan Takhir Yarakhmedov, Victor V. Polyakh

“…Therefore, three best known and developed search engine optimization techniques are studied: particle swarm method, evolutionary genetic approach, and ant colony algorithm. …”
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On the ability of the LR method to detect bias when there is pedigree misspecification and lack of connectedness by Alan M. Pardo, Andres Legarra, Zulma G. Vitezica, Natalia S. Forneris, Daniel O. Maizon, Sebastián Munilla

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A novel hybrid approach for thyroid disease detection: Integrating cuttlefish algorithm and simulated annealing for optimal feature selection by Kapil Shrivastava, Saroj Pandey, Rishav Dubey, Mayank Namdev, Vipin Tiwari, Aditi Sharma

“…This study advances medical diagnostics by combining machine learning algorithms with nature-inspired optimization techniques to detect thyroid illnesses in their early stages. • This article proposes a novel hybrid algorithm that combines the Cuttlefish Optimization Algorithm (CFA) and Simulated Annealing (SA) to find the best features for finding thyroid disease. • The study uses machine-learning models for classification. • The integration of machine learning and nature-inspired optimization significantly enhances the diagnostic capabilities of healthcare systems, enabling prompt diagnosis and treatment planning for thyroid disorders.…”
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Research and optimization of a multilevel fire detection framework based on deep learning and classical pattern recognition techniques by Qi Liu, Hong Chen, Da Lin

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Haar Cascade Classifier and Adaboost Algorithm for Face Detection with the Viola-Jones Method by Mohammad Saichu Nidom

“…This study explores the effectiveness of the Haar Cascade Classifier method optimized with Adaboost to improve the accuracy and efficiency of face detection in various head covering conditions. …”
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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

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Comprehensive quality detection method for tomatoes combining machine vision and spectral techniques by GUO Dechao, RAO Yuanli, ZHANG Hao, LI Chunfeng, ZHAO Qiang

“…Complete tomato internal quality grading through preprocessing methods, feature extraction methods, and improved particle swarm optimization using least squares support vector machine. …”
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Tea Disease Detection Method Based on Improved YOLOv8 in Complex Background by Junchen Ai, Yadong Li, Shengxiang Gao, Rongsheng Hu, Wengang Che

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Rice disease detection method based on multi-scale dynamic feature fusion by Qian Fan, Runhao Chen, Bin Li

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Real time wire rope detection method based on Rockchip RK3588 by Mengpeng Qian, Yong Wang, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Ming Chen, Hailong Wu, Zuchao Zhang

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YOLO-SDD: An Effective Single-Class Detection Method for Dense Livestock Production by Yubin Guo, Zhipeng Wu, Baihao You, Lanqi Chen, Jiangsan Zhao, Ximing Li

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Object detection with afordable robustness for UAV aerial imagery: model and providing method by Viacheslav Moskalenko, Artem Korobov, Yuriy Moskalenko

“…Methods. Combination of ideas and methods for dynamic neural networks, and methods for robustness and resilience optimization for neural networks. …”
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A Weak Signal Detection Method for Bearing Based on QGA and Stochastic Resonance by GE Jiang hua, WANG Yan, WANG Ya ping, SUN Yong guo, Xu Di

“…Aiming at the problems that the vibration signal is weak and the SNR is low in its early failure stage of rolling bearing, a weak signal detection method combining Quantum Genetic Algorithm (QGA) and Stochastic Resonance is proposed, which improves SNR and identifies fault location. …”
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A Moving Object Detection Method Based on Conditional Information and Feature Deepening by Hongrui Zhang, Luxia Yang

“…In the field of moving object detection methods relying on generative adversarial networks, there are problems such as uncontrollable generation results and incomplete extraction of target details. …”
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Detecting the Corrosion of a Steel Rebar Using the Eddy Current Testing Method by Dongfeng He

“…We examined the effects of excitation frequency, coil type, and coil size on the experimental results to optimize the system. The signal-to-noise ratio and the detection depth were improved with a specially designed probe.…”
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Typical battlefield infrared background detection method based on multi band fusion by Bentian Hao, Weidong Xu, Xin Yang

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Study of the Method of Multi-Frequency Signal Detection Based on the Adaptive Stochastic Resonance by Zhenyu Lu, Tingya Yang, Min Zhu

“…However, the detection methods of the multifrequency weak signals need to be researched. …”
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Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method by Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth

“…This method is especially beneficial in situations where labeled data is scarce or unavailable and can be used to identify new code smells, generate labeled data for SML and detect multiple code smells simultaneously within a codebase.…”
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Detection of UAV GPS Spoofing Attacks Using a Stacked Ensemble Method by Ting Ma, Xiaofeng Zhang, Zhexin Miao

“…To address this issue, we propose a detection method based on stacked ensemble learning that combines convolutional neural network (CNN) and extreme gradient boosting (XGBoost) to detect spoofing signals in the GPS data received by UAVs. …”
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Electrochemical detection of furosemide and its removal from wastewater using adsorption method by Ayesha Qureshi, Afzal Shah, Abdul Haleem, Iltaf Shah

“…The sensor was found to exhibit the qualities of repeatability, reproducibility, recovery and selectivity, achieving a limit of detection of 10 pM for the targeted drug. For wastewater purification from furosemide, an environmentally benign method was introduced using macroporous biocryogel, which was synthesized and characterized by XRD, FTIR and SEM. …”
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