Application of a dynamic optimization-based multi-attribute fusion method for fault detection. by Chen Ma, Handong Huang, Youcai Tang, Suo Cheng, Chao Wang, Xin Wang

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Technology and Method Optimization for Foot–Ground Contact Force Detection in Wheel-Legged Robots by Chao Huang, Meng Hong, Yaodong Wang, Hui Chai, Zhuo Hu, Zheng Xiao, Sijia Guan, Min Guo

“…To address this challenge, this study proposes a foot–ground contact state detection technique and optimization method based on multi-sensor fusion and intelligent modeling for wheel-legged robots. …”
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Hybrid Optimization Method for Social Internet of Things Service Provision Based on Community Detection by Bahar Allakaram Tawfeeq, Amir Masoud Rahmani, Abbas Koochari, Nima Jafari Navimipour

“…Addressing these challenges requires efficient optimization methods. Traditional optimization algorithms have strengths and weaknesses. …”
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Abnormal traffic detection method based on LSTM and improved residual neural network optimization by Wengang MA, Yadong ZHANG, Jin GUO

“…Problems such as a difficulty in feature selection and poor generalization ability were prone to occur when traditional method was exploited to detect abnormal network traffic.Therefore, an abnormal traffic detection method based on the long short term memory network (LSTM) and improved residual neural network optimization was proposed.Firstly, the features and attributes of network traffic were analyzed, and the variability of the feature values was reduced by preprocessing of network traffic.Then, a three-layer stacked LSTM network was designed to extract network traffic features of different depths.Moreover, the problem of weak adaptability of feature extraction was solved.Finally, an improved residual neural network with skipping connecting line was designed to optimize the LSTM.The defects of deep neural network such as overfitting and gradient vanishing were optimized.The accuracy of abnormal traffic detection was improved.Experimental results show that the proposed method has higher training accuracy and better visibility of data processing.The classification accuracy rates under two classifications and multiple classifications are 92.3% and 89.3%.It has the lowest false positive rate when the parameters such as precision rate and recall rate are optimal.Moreover, it has strong robustness when the sample is destroyed.Furthermore, better generalization ability can be achieved.…”
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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

Subjects: “…Arrhythmia detection…”
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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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A Malware Detection Method Based on Genetic Algorithm Optimized CNN-SENet Network by Zheng Yang, Hua Zhu, Zhao Li, Gang Wang, Meng Su

“…To this end, this paper proposes a malware detection method based on genetic algorithm optimization of the CNN-SENet network, which firstly introduces the SENet attention mechanism into the convolutional neural network to enhance the spatial feature extraction capability of the model; then, the application programming interface (API) sequences corresponding to different software behaviors are processed by segmentation and de-duplication, which in turn leads to the sequence feature extraction through the CNN-SENet model; finally, genetic algorithm is used to optimize the hyperparameters of CNN-SENet network to reduce the computational overhead of CNN and to achieve the recognition and classification of different malware at the output layer. …”
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Improved FastICA algorithm for data optimization processing in intrusion detection by Ye DU, dan ZHANGYa, hong LIMei, wei ZHANGDa

Subjects: “…intrusion detection;fast independent component analysis;data optimization;Newton's iteration method…”
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Early thrombus detection in ECMO with optimized impedance measurements: A simulative study by Slapal Filip, Silva Diogo F., Leonhardt Steffen, Walter Marian

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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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An Improved Generalized Flexibility Sensitivity Method for Structural Damage Detection by NIU Zirong, WU Feng, HAN Zhaolong, ZHUO Yang, CHE Ailan, ZHU Hongbo

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Design and optimization of an optical ring resonator based biosensor for cancer detection by Arif Hossan, Md Abu Shahid Chowdhury, Siddika Tamanna Islam, Kazi Zannatul Ferdwushee

“…This work proposes an intriguing optical ring resonator (ORR) based biosensor design for detecting various cancerous cells. A detailed numerical analysis of the proposed biosensor was performed using the finite element method (FEM) implemented in COMSOL Multiphysics software. …”
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Cervical Cell Nuclear Segmentation Method Based on Optimized MSER Algorithm by HE Yong jun, ZHANG Xue yuan, SHAO Hui li, DING Bo

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Optimal fault detection from seismic data using intelligent techniques: A comprehensive review of methods by Bhaktishree Nayak, Pallavi Nayak

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Application of an Optimized HPLC Method for the Detection of Various Phenolic Compounds in Apples from Lithuanian Cultivars by Mindaugas Liaudanskas, Pranas Viškelis, Valdas Jakštas, Raimondas Raudonis, Darius Kviklys, Arvydas Milašius, Valdimaras Janulis

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Enhancing Mycotoxin Detection in Table Olives: The Role of Enzyme-Linked Immunosorbent Assay and Method Optimization by Alessandro Cammerata, Viviana Del Frate, Tiziana Monforte, Antonio Scarfone, Elio Romano

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A Single-Stage Photovoltaic Module Defect Detection Method Based on Optimized YOLOv8 by Yihong Gao, Chengxin Pang, Xinhua Zeng, Pengyi Jiang

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Optimizing DNA extraction methods for enhanced detection of pathogenic Leptospira spp. in cultures using PCR by Kiki Aprilia, Arif Mulyanto, Kurnia Ritma Dhanti, Korri El Khobar, Farida Dwi Handayani

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Optimization of biosensor based on nitride-photonic crystal operating in visible range for Glucose detection by Hassen Dakhlaoui, Walid Belhadj

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Enhancing Tomato Leaf Disease Detection via Optimized VGG16 and Transfer Learning Techniques by Sandy Putra Siregar, Imam Akbari, Poningsih Poningsih, Anjar Wanto, Solikhun Solikhun

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