Optimization of norovirus concentration and infectivity detection methods in seawater by Dongwei LI, Hongxia MING, Jiajie LI, Jiannan LIN, Jingfeng FAN

“…ConclusionsThe norovirus concentration and detection method established and optimized in this study significantly improved the recovery rate and detection accuracy of norovirus, which is of great significance for improving food safety testing and infectious disease prevention and control.…”
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Universal anomaly detection at the LHC: transforming optimal classifiers and the DDD method by Sascha Caron, José Enrique García Navarro, María Moreno Llácer, Polina Moskvitina, Mats Rovers, Adrián Rubio Jímenez, Roberto Ruiz de Austri, Zhongyi Zhang

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Optimal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detection by Jie Zhang, Pak-Wai Chan, Michael Kwok-Po Ng

“…In this paper, we aim to investigate a machine learning method for windshear detection based on previously collected wind velocity data and windshear records. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…The SARE method addresses the limitations of traditional fixed-fragment approaches by detecting variable-length regulatory elements. …”
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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

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Strategy optimization method based on UAVs-assisted detection of covert communication by Xiaohan Wang, Wen Tian, Guangjie Liu, Yuwei Dai

“…Specifically, the UAV actively transmitsnoise to Alice’s transmission channels to disrupt covert transmission whenWillie detects a covert communication transmission. Furthermore, we ana-lyze the adversarial process between the detector and Alice under UAV-assisted jamming based on game theory, theoretically verify the conditionsfor the existence of a Nash equilibrium, and formulate optimal strategiesfor both sides.…”
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Low Complexity Optimized AOR Method for Massive MIMO Signal Detection by Muhammad Nauman Irshad, Muhamamd Muzamil Aslam, Rardchawadee Silapunt

“…Simulation results of the proposed method indicate superior performance compared to existing techniques in detection accuracy, error rates, and reduced computational complexity.…”
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WAYS TO OPTIMIZE DETECTION OF TUBERCULOSIS IN A PULMONOLOGY UNIT by E. A. Borodulina, A. T. Inkova, B. E. Borodulin, L. V. Povalyaeva

“…The objective: to optimize detection of tuberculosis in a pulmonology unit.Subjects and methods. …”
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Optimized Detection Algorithm for Vertical Irregularities in Vertical Curve Segments by Rong Xie, Chunjun Chen

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Enhancing Drone Detection via Transformer Neural Network and Positive–Negative Momentum Optimizers by Pavel Lyakhov, Denis Butusov, Vadim Pismennyy, Ruslan Abdulkadirov, Nikolay Nagornov, Valerii Ostrovskii, Diana Kalita

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Ship detection optimization method in SAR imagery based on multi-feature weighting by Quanhua ZHAO, Xiao WANG, Yu LI, Guanghui WANG

“…Aiming at the problem that the accuracy of traditional ship detection algorithms is not satisfying in complex scene with many false alarm targets,a ship detection optimization method in SAR imagery based on multi-feature weighting was proposed.Firstly,the marker-based watershed algorithm was employed to remove land from SAR amplitude image.Then,the CFAR algorithm based on log-normal distribution was used to obtain candidate targets from no land image.Furthermore,the length to width ratio,the ship area and the contrast ratio of the candidate targets were extracted.Finally,a variance coefficient method was proposed to distribute the weight of the three features,and the confidence levels were calculated by combining the normalized feature vectors of the candidate targets with the feature weight.By determining the best confidence level,false alarm targets among the candidate targets were removed to optimize ship detection results.In order to verify the proposed method,experiments were carried on with the GF-3 SAR images of different complex scenes.The experimental results show that the proposed method is feasible and effective.…”
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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity by Wenda Yang, Minggong Wu, Xiangxi Wen, Kexin Bi

“…Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV swarm trajectory and radiation power. …”
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Automatic Feature Engineering-Based Optimization Method for Car Loan Fraud Detection by Jian Yang, Zixin Tang, Zhenkai Guan, Wenjia Hua, Mingyu Wei, Chunjie Wang, Chenglong Gu

“…To tackle this issue, this paper proposed an optimized deep feature synthesis (DFS) method in the automatic feature engineering scheme to improve the car loan fraud detection. …”
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A Semantic Segmentation-Based GNSS Signal Occlusion Detection and Optimization Method by Zhe Yue, Chenchen Sun, Xuerong Zhang, Chengkai Tang, Yuting Gao, Kezhao Li

“…To address this issue, we dig into the environmental perception perspective to propose a semantic segmentation-based GNSS signal occlusion detection and optimization method. The approach distinguishes between building and tree occlusions and adjusts signal weights accordingly to enhance positioning accuracy. …”
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An optimization method of multiscale storage tank target detection introducing an attention mechanism by Wenjia Sun, Chunchun Hu, Nianxue Luo, Qiansheng Zhao

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Applying a Machine Learning Method to Detect Changing Neuronal Activity in Seizure Disorders by Cengiz Gunay, Krishan Bhalsod

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Enhancing knee osteoarthritis detection with AI, image denoising, and optimized classification methods and the importance of physical therapy methods by Burak Bugday, Harun Bingol, Muhammed Yildirim, Bilal Alatas

“…Then, feature selection was made using the neighborhood component analysis (NCA) method for the developed system to produce more successful results, and the optimized feature map was classified into six different classifiers. …”
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Benchmarking and optimization of methods for the detection of identity-by-descent in high-recombining Plasmodium falciparum genomes by Bing Guo, Shannon Takala-Harrison, Timothy D O'Connor

“…Our optimization and high-level benchmarking methods not only improve IBD segment detection in high-recombining genomes but also enhance overall genomic analysis, paving the way for more accurate genomic surveillance and targeted intervention strategies for malaria.…”
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Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm by Hussein Ridha Sayegh, Wang Dong, Bahaa Hussein Taher, Muhanad Mohammed Kadum, Ali Mansour Al-madani

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DOG: An Object Detection Adversarial Attack Method by Jinpeng Li, Xiaoyu Ji, Wenyuan Xu, Yushi Cheng

“…This study presents an object detection adversarial attack method (DOG) based on the dynamic optimization of a multi-scale feature grid cluster, aimed at addressing the challenges of poor transferability in white-box attacks and long generation cycles in black-box attacks within the current adversarial example generation techniques. …”
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