Examination Database and Online Paper Forming Algorithm for Mobile Personalized Learning Test by Wanwu Li, Lin Liu, Hui Zhang, Jinhong Li, Zhi Wang

“… It is crucial to advance network education exam informatization and mobile learning. …”
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Multi-Objective Portfolio Optimization Strategy Using the SPEA-II Algorithm by Alireza Azarberahman, Malihe Tohidinia, Hossein Aliakbarzadeh

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Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts by Miaobing Zheng, Yuxin Zhang, Rachel A Laws, Peter Vuillermin, Jodie Dodd, Li Ming Wen, Louise A Baur, Rachael Taylor, Rebecca Byrne, Anne-Louise Ponsonby, Kylie D Hesketh

“…ObjectiveLeveraging machine learning (ML) algorithms, this study aimed to develop and validate risk prediction models to identify infant RWG by the age of 1 year. …”
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Integrating Machine Learning Algorithms: A Hybrid Model for Lung Cancer Outcome Improvement by Pradnyawant M. Gote, Praveen Kumar, Hemant Kumar, Prateek Verma, Moses Makuei Jiet

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Study on Lightweight Bridge Crack Detection Algorithm Based on YOLO11 by Xuwei Dong, Jiashuo Yuan, Jinpeng Dai

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A new algorithm for kinematic program control of optical parts by grinding by Nguyen Van Khang, Nguyen Trong Hung

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Spectral Three-Term Constrained Conjugate Gradient Algorithm for Function Minimizations by Huda I. Ahmed, Rana Z. Al-Kawaz, Abbas Y. Al-Bayati

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Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
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Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
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Scalable PBFT-like algorithm for trust management of degree/graduation certificates by ZHANG Xuewang, LEI Zhitao, LIN Jinzhao

“…“Blockchain+education” offers a solution for trust management of degree/graduation certificates. …”
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An encryption by using DNA algorithm for hiding a compressed message in Image by Qusay Alsaffar

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The Implementation of Enhanced Microgrid using Mayfly Algorithm based PID Controller by M Murali, A Hema Sekhar

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Application of Artificial Intelligence with Ant Colony Algorithm in construction projects schedule by Kiana Ahghari

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Bridge Critical State Search by Using Quantum Genetic Firefly Algorithm by Shi-bo Tao, Dian-zhong Liu, Ai-ping Tang

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Heart Rate Measurement Algorithm in the Monitoring System of Human Body Condition by A. N. Osipov, O. Ch. Rolich, A. P. Kluev, V. D. Vladymtsev, S. A. Migalevich, I. O. Khazanovsky

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THE ALGORITHM OF THE CASE FORMATION DURING THE DEVELOPMENT OF CLINICAL DISCIPLINES IN MEDICAL SCHOOL by Andrey A. Garanin, Reseda M. Garanina

“…The structure of a medical case study to be followed in the development of the case on discipline «Clinical Medicine» is proposed. Unification algorithm formation cases is necessary for the full implementation of the introduction in the educational process in the higher medical school as one of the most effective active ways of learning – method of case analysis, in accordance with the requirements that apply to higher professional education modern reforms and, in particular, the introduction of new Federal State Educational Standards.…”
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Adaptive Algorithm Recommendation and Application of Learning Resources in English Fragmented Reading by Jinyu Cheng, Hong Wang

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An Application of Quasi Newton Algorithm and Improvement of Sliding Surface for Robot Control by Chi-Ngon Nguyen, Thanh Tung Pham

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Developing an efficient algorithm for robust school bus routing with heterogeneous fleet by Mohamad Ali Movafaghpour

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An Exact Top- Query Algorithm with Privacy Protection in Wireless Sensor Networks by Huang Haiping, Feng Juan, Wang Ruchuan, Qin XiaoLin

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