An optimized LSTM-based deep learning model for anomaly network intrusion detection by Nitu Dash, Sujata Chakravarty, Amiya Kumar Rath, Nimay Chandra Giri, Kareem M. AboRas, N. Gowtham

“…The presented model uses three optimization methods, i.e., Particle Swarm Optimization (PSO), JAYA, and Salp Swarm Algorithm (SSA), to optimize the hyperparameters of LSTM. …”
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Edge-optimized multimodal cross-fusion architecture for efficient crop disease detection by Thomas Kinyanjui Njoroge, Kelvin Mugoye Shindu, Rachael Kibuku

“…Accurate and timely crop disease detection is critical for reducing agricultural losses and ensuring food security in low-resource settings. …”
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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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Assessment of Different Detection Methods in Bacteria Survival on Cotton and Polyester Textiles by Katarzyna Jekiel, Justyna Syguła-Cholewińska

“…Moreover P. aeruginosa turned out to be a best indicator for use in survival experiments, where too intensive growth or no growth was observed, hence not detectable on media. Survival microorganisms in viable state on textile are at least four weeks and can be prolonged in optimal condition.…”
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Research on flight detection and data compliance analysis methods for ice meteorological by DING Junliang

“…This article analyzes the background and limitations of the formation of the icing meteorological standard in Appendix C of CCAR25, and proposes a flight method for ice detection using an icing experimental research aircraft. …”
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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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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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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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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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AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm by Rafat Alshorman, Bilal H. Abed-alguni, Yaqeen E. Alqudah

“…This work introduces a new malware detection system called the improved AOA method for FS (AOAFS) that enhances the performance of Machine Learning techniques for malware detection. …”
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Detection and Optimization of Photovoltaic Arrays’ Tilt Angles Using Remote Sensing Data by Niko Lukač, Sebastijan Seme, Klemen Sredenšek, Gorazd Štumberger, Domen Mongus, Borut Žalik, Marko Bizjak

“…This paper presents a novel method for optimizing the tilt angles of existing PV arrays by integrating Very High Resolution (VHR) satellite imagery and airborne Light Detection and Ranging (LiDAR) data. …”
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Optimization Design of Anti-aliasing Filter for the Stability and Instability Detection Device of EMU by LI Lun, WU Wenhui, LI Na, LI Zixian, TAN Fumin, LIU Yuran

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Optimized SPR-PCF sensor for sucrose detection inspired by vertical pupil geometry by Mohammad Reza Khodatars Dashtmian, Vahid Fallahi, Mahmood Seifouri, Saeed Olyaee

“…To ensure this, we have applied the Nelder-Mead algorithm for precise optimization of the structural parameters. For the analysis of this structure, the finite element method based on the mode solver has been used. …”
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TFC: A Series of Band Selection Methods for Hyperspectral Target Detection by Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao

“…According to the different method for solving constrained optimization problem, the TFC methods are divided into TFC-MP (TFC-Matching Pursuit), TFC-OMP (TFC-Orthogonal Matching Pursuit) and TFC-StOMP (TFC-Stagewise Orthogonal Matching Pursuit) methods. …”
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Comparative analysis of adaptive and general labeling methods for soybean leaf detection by Yuseok Jeong, Yuseok Jeong, Song Lim Kim, Thanh Tuan Thai, Thanh Tuan Thai, Thanh Tuan Thai, Anh Tuan Le, Anh Tuan Le, Chaewon Lee, Hyo Jun Bae, Inchan Choi, Sheikh Mansoor, Yong Suk Chung, Kyung-Hwan Kim

“…This study examines the influence of different labeling methods on the efficiency of artificial intelligence (AI) based soybean leaf detection. …”
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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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Choosing the Optimal Method for Measuring Glomerular Filtration Rate in Pediatric Intensive Unit by Semen N. Averyanov, Valerij G. Аmcheslavskiy, Vladimir G. Bagaev, Rustem F. Tepaev

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Human-Machine Function Allocation Method for Submersible Fault Detection Tasks by Chenyuan Yang, Liping Pang, Wentao Wu, Xiaodong Cao

“…Based on this method, we identified the LOA2 as the optimal human-computer function allocation scheme. …”
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Two-level feature selection method based on SVM for intrusion detection by Xiao-nian WU, Xiao-jin PENG, Yu-yang YANG, Kun FANG

“…To select optimized features for intrusion detection，a two-level feature selection method based on support vector machine was proposed.This method set an evaluation index named feature evaluation value for feature selection，which was the ratio of the detection rate and false alarm rate.Firstly，this method filtrated noise and irrelevant features to reduce the feature dimension respectively by Fisher score and information gain in the filtration mode.Then，a crossing feature subset was obtained based on the above two filtered feature sets.And combining support vector machine，the sequential backward selection algorithm in the wrapper mode was used to select the optimal feature subset from the crossing feature subset.The simulation test results show that，the better classification performance is obtained according to the selected optimal feature subset，and the modeling time and testing time of the system are reduced effectively.…”
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