Optimization of Random Forest Algorithm with Backward Elimination Method in Classification of Academic Stress Levels by Salsabila Dani Amalia, Mula Agung Barata, Pelangi Eka Yuwita

“…Therefore, there is a need for effective prediction methods to aid in the management and prevention of academic stress. …”
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Research on Image De-fog Algorithm Based on Fusion Homomorphic Filtering and Wavelet Transform by DONG Jing-wei, ZHAO Chun-li, HAI Bo

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The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

“…Abstract In order to improve the accuracy and efficiency of sports training data analysis, this paper proposes an optimized analysis model by combining Iterative Dichotomiser 3 (ID3) decision tree algorithm and deep learning model. As an important scientific tool, sports training data analysis aims to provide decision support for athletes and coaches, optimize training programs and improve sports performance through accurate data mining and model prediction. …”
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A UAV perspective based lightweight target detection and tracking algorithm for intelligent transportation by Quan Wang, Guangfei Ye, Qidong Chen, Songyang Zhang, Fengqing Wang

“…At the target tracking stage, the so-called NGCTrack in our algorithm replaces IOU with GIOU and employs a modified NSA Kalman filter to adjust the state-space aspect ratio for width prediction. …”
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Diesel Engine Urea Injection Optimization Based on the Crested Porcupine Optimizer and Genetic Algorithm by Xu Chen, Changhai Ma, Quanli Dou, Shuzhan Bai, Ke Sun, Zhenguo Li

“…Finally, the Nondominated Sorting Genetic Algorithm II (NSGA-II) was used to optimize the urea injection volume for all conditions. …”
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Software implementation of research algorithm on stability of mathematical model of self-organization of the labour market by Irina Vladimirovna Zaitseva

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Enhancement of rime algorithm using quadratic interpolation learning for parameters identification of photovoltaic models by Shazly A. Mohamed, Abdullah M. Shaheen, Mohammed H. Alqahtani, Badr M. Al Faiya

“…The novel IRMO as well as the original RMO are developed for predicting PV parameters for the triple-diode model (DM) of the three distinct PV modules which are Photowatt PWP201, STM6-40/36, and R.T.C France. …”
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Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS by Lianrong Pan, Xiao Yang, Yuan Fu, Yuyang Hu, Shangbin Yuan

“…Second, the study also selects orthogonal frequency division multiplexing to improve the least mean square filtering algorithm in order to improve the accuracy of prediction. …”
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Sliding window based rare partial periodic pattern mining algorithms over temporal data streams by K. Jyothi Upadhya, Ronan Lobo, Mini Shail Chhabra, Aman Paleja, B. Dinesh Rao, Geetha M., Prachi Sisodia, Bolusani Akshita Reddy

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Enhancing analogy-based software cost estimation using Grey Wolf Optimization algorithm by Taghi Javdani Gandomani, Maedeh Dashti, Sadegh Ansaripour, Hazura Zulzalil

“…Although this method has been customized in recent years with the help of optimization algorithms to achieve better results, the use of more powerful optimization algorithms can be effective in achieving better results in software size estimation. …”
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Algorithm of Behaviour of Virtual Avatars During Public Speaking Training in a VR Environment by Karol Jędrasiak, Robert Robert Wolański, Damian Bereska

“…The development of the algorithm marks a pivotal advancement in educational technology, providing a platform that surpasses traditional training methods. …”
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Wireless sensor network nodes localization method based on cellular automata bat algorithm by Kailu MENG, Keqiang YUE, Junna SHANG

“…To further enhance the location precision of unknown nodes and solve the node location error in wireless sensor network,a location method based on cellular automata bat algorithm was presented.Mixed the idea of cellular automata and the bat algorithm and drawed into the cellular RCS niche technique and disaster mechanism,the algorithm could jump out of local optimum and increase the convergence speed.In order to verify the feasibility and efficiency,the proposed algorithm was verified through simulation of several benchmark functions.Then the algorithm implemented the CA-BA to node location prediction to increase the precision of the unknown node location.In the measured experiment,the results show that the proposed algorithm has higher accuracy compared to the improved PSO algorithm,which average localization error is less than 0.5m.…”
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Spatial and Temporal Correlations-Based Routing Algorithm in Intermittent Connectivity Human Social Network by Zhou Tao, Xu Hongbin, Liu Ming, Liu Nianbo, Gong Haigang

“…In this paper, we propose the idea of Trip History Model (THM) which establishes a model on a single person's mobility, and then a Spatial and Temporal Correlations-Based Routing Algorithm (STC) is proposed. In STC, the node delivery probability is calculated according to both a node's current moving prediction and its history record to give guidance for message transmission. …”
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Optimization of Business English Teaching Based on the Integration of Interactive Virtual Reality Genetic Algorithm by Xiao Ma

“…The results of the simulation experiment indicate that the improved algorithm designed in this article can reduce the computational overhead of the meta-algorithm to a great extent, and the improvement strategy is designed based on the evaluation results of practical examples.…”
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Optimization of hybrid-forecasting algorithm parameters using a model ensemble in real time by Elena A. Kochegurova, Sofia M. Saybert, Ksenia V. Tatyankina

“…The proposed forecasting model in the form of a recurrent penalty spline (P-spline) has several adjustable parameters, which ensures the adaptability of the model for predicting the behavior of a time series based on its retrospective values. …”
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The Realization of Intelligent Algorithm of Knowledge Point Association Analysis in English Diagnostic Practice System by Yanyan Zhang

“…Then, starting from the existing paper composition mode of the system, the knowledge point association rule table is introduced, and the knowledge point association relationship mining model is constructed using the association rule algorithm to explore the potential influence relationship between different knowledge points that affect the improvement of learning quality. …”
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Resource allocation algorithm for multi-beam LEO satellite based on decision performance evaluation by WANG Chaowei, PANG Mingliang, WANG Su, ZHAO Lingli, GAO Feifei, CUI Gaofeng, WANG Weidong

“…Through iterative optimization, the decision network achieved accurate predictions. Simulation results show that the proposed algorithm outperforms traditional resource allocation algorithms in terms of throughput and fairness.…”
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Collocating Recommendation Method for E-Commerce Based on Fuzzy C-Means Clustering Algorithm by LiJia Wang, Yanyan Jiang

“…Then, it uses data mining technology to mine and analyze the commodities that users are interested in, makes matching according to the types of commodities, and recommends the commodities that users are interested in under a given scene according to the established prediction model. By combining fuzzy clustering with collaborative filtering algorithm, this paper recommends the products that users are interested in, which are mined from historical data and commodity information.…”
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Sequential recommendation algorithm for long-tail users based on knowledge-enhanced contrastive learning by REN Yonggong, ZHOU Pinglei, ZHANG Zhipeng

“…Sequential recommendation predicts next items for users based on their historical interactions. …”
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Optimization of Digital Recommendation Service System for Tourist Attractions Based on Personalized Recommendation Algorithm by Yue Wang, Zhaoxiang Qin, Jun Tang, Wei Zhang

“…Finally, two stable user sets and scenic spot sets are applied to the personalized recommendation algorithm to predict the user’s next upcoming scenic spot. …”
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