Research on bearing fault feature transfer diagnosis based on balanced distribution adaptation under feature fusion by Lulu Wang, Yongqi Li, Chunyi Zhang, Ralph Gerard Sangalang

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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

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IMAGE PROCESSING MODELS AND METHODS RESEARCH AND WAYS OF IMPROVING MARKER RECOGNITION TECHNOLOGIES IN ADDED REALITY SYSTEMS by Nataliia Bolohova, Igor Ruban

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Research on Automatic Test Case Generation Technology Based on Finite State Machines and Function Block Diagrams by LI Ning, XIONG Yan, DING Yaoguo

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Research on the Improvement of the Signal Time Delay Estimation Method of Acoustic Positioning for Anti-Low Altitude UAVs by Miao Liu, Jiyan Yu, Zhengpeng Yang

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Research on multi-objective control of PPCI diesel engine combustion process based on data driven modelling by Ziqiang Chen, Peng Ju, Zhe Wang, Du Huang, Lei Shi, Kangyao Deng

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Research progress on iatrogenic risks based on Internet of Things medical technology: a systematic literature review by Guangwei DENG, Shimin LI, Liang LIANG, Chengchao ZHOU

“…Through a systematic review of relevant literature and based on Bogner's classification of medical failures, this study categorizes iatrogenic risks into active and latent types and identifies risk factors in the medical application of IoT technology. The research finds that algorithm limitations and cybersecurity issues are the main factors contributing to active iatrogenic risks, while human-machine integration challenges and loose regulatory environments are the primary factors leading to latent iatrogenic risks. …”
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Research on Intelligent Recommendation Business Model of Tourism Enterprise Value Platform from the Perspective of Value Cocreation by Qiongying Wang, Daijian Tang

“…Firstly, the commonly used recommendation algorithms are introduced, which are collaborative filtering recommendation algorithm, content filtering recommendation algorithm, and association rule recommendation algorithm. …”
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Techniques and Models for Addressing Occupational Risk Using Fuzzy Logic, Neural Networks, Machine Learning, and Genetic Algorithms: A Review and Meta-Analysis by Chris Mitrakas, Alexandros Xanthopoulos, Dimitrios Koulouriotis

“…The general aim is to highlight the existing literature on the subject, while the specific goal of the research is to attempt to answer research questions that emerge after the review and classification of the literature, which are aspects that have not previously been addressed. …”
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Optimization of Home Energy Management Systems in Smart Cities Using Bacterial Foraging Algorithm and Deep Reinforcement Learning for Enhanced Renewable Energy Integration by Mohammed Naif Alatawi

“…This research contributes methodologically by introducing and detailing these algorithms and provides a valuable dataset and evaluation metrics for future research in the domain. …”
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Prediction of China’s Polysilicon Prices: A Combination Model Based on Variational Mode Decomposition, Sparrow Search Algorithm and Long Short-Term Memory by Jining Wang, Lin Jiang, Lei Wang

“…The research shows that decomposing the original polysilicon time series using the VMD algorithm effectively extracts the main features of polysilicon price data, reducing data instability. …”
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Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm by Xin He, Zhijie Song, Yanqun Yang, Siqi Wu, Shuo Meng, Huanyu E, Hongfei Li, Guoyu Ding

“…Due to the complex chemical constituents of TCM and the diversity of evaluation indicators for a certain disease, the research strategy on how to obtain the optimal combination of these crude extracts, homologous compounds or even the specific compounds mixture becomes the key step in the study of compatibility proportion research. …”
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Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm by Wenyang Jin, Jiaxuan Wang, Junyu Li, Ren Xu, Ming Zhou, Qibai Huang

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An Improved Space Vector PWM Algorithm with a Seven-Stage Switching Sequence for Three-Level Neutral Point Clamped Voltage Source Inverters by Aleksandr N. Shishkov, Maxim M. Dudkin, Aleksandr S. Maklakov, Van Kan Le, Andrey A. Radionov, Vlada S. Balabanova

“…The main purpose of this research is to develop an improved space vector pulse-width modulation (SVPWM) algorithm for three-level (3L) neutral point clamped (NPC) voltage source inverters (VSIs). …”
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Cross-scale correlation analysis of water-induced deterioration on soft rock in coal mine underground reservoir engineering based on deep learning algorithm by Hao Liu, Zenghui Zhao, Qing Ma, Jiaze Du, Xiaoli Liu

“…To address the issues of grain crowding and segmentation difficulties in cross-scale correlation analysis, as well as the limitations of traditional etching methods, this study proposes an image grain segmentation method based on deep learning algorithms, utilizing scanning electron microscopy and image processing techniques. …”
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Improvement of classification accuracy of functional near-infrared spectroscopy signals for hand motion and motor imagery using a common spatial pattern algorithm by Omid Asadi, Mahsan Hajihosseini, Sima Shirzadi, Zahra Einalou, Mehrdad Dadgostar

“…Objective: Classifying motor imagery tasks via functional near-infrared spectroscopy (fNIRS) poses a significant challenge in brain-computer interface (BCI) research due to the high-dimensional nature of the signals. …”
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Detour-Straddle 3D-like path planning of unmanned mining truck in open pit mines based on optimized ant colony algorithm by Mingyu GAO, Jiusheng BAO, Yan YIN, Deping HU, Kekun ZHANG, Chenzhong ZHU, Maosen WANG, Kai WANG

“…Then, the initial pheromone distribution of ant colony algorithm is optimized to improve the goal orientation of the algorithm, and the optimal and worst path is considered in the improved pheromone updating strategy to improve the performance and efficiency of path search. …”
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Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms by Shuhui Hua, Chuan Li, Yuanlong Wang, YiZhi Liang, Shanling Xu, Jian Kong, Hongyan Gong, Rui Dong, Yanan Lin, Xu Lin, Yanlin Bi, Bin Wang

“…Compared with other ML algorithms, NN showed better performance, with an AUC of 0.973 (95% CI (0.959–0.987)) in the test set. …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…On this basis, a high temperature disaster risk map of the urban development area of Wuhan is synthesized to identify the distribution characteristics of high temperature disaster risk in the research area. Then Landsat 8 remote sensing images are processed with SAGA GIS software, Google Earth Pro software, and Random Forest algorithm to classify the urban development area of Wuhan into 17 local climate zone (LCZ) types based on the remote sensing image classification method of World Urban Database and Access Portal Tools (WUDAPT). …”
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Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms by Manal Abdullah Alohali, Sultan Alahmari, Mohammed Aljebreen, Mashael M. Asiri, Achraf Ben Miled, Sami Saad Albouq, Othman Alrusaini, Ali Alqazzaz

“…It impacts a vast amount of computers. Researchers have proposed numerous malware detection solutions for the past few years. …”
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