Research on the optimal scheduling of a multi-storage combined integrated energy system based on an energy supply grading strategy by Na Zhang, Feng You, Bingqian Hu, Jingyu Li, Guangchen Liu

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RRMSE-enhanced weighted voting regressor for improved ensemble regression. by Shikun Chen, Wenlong Zheng

“…By using an RRMSE-based weighting function, our method gives more importance to models that demonstrate higher accuracy, thereby enhancing the overall prediction quality. We tested the RRMSE Voting Regressor on six popular regression datasets and compared its performance with several state-of-the-art ensemble regression algorithms. …”
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SECURE USER AUTHENTICATION IN THE CLOUD: LEVERAGING FACE RECOGNITION TECHNOLOGY by Yellamma Pachipala, Muzamil Raheman Shaik, Jaya Ram Samavedam, Anvitha Peddineni, V V R Maheswara Rao

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Measurement Research of Free-form Lens Optical Parameters Based on Transmission Fringe Deflectometry by Xiaoxiao Wei, Xiaobing He, Zhenqiu Dai, Hao Zhang

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Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol. by Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi, Tarik Eltanahy, Sara Ono, Marcus Hui, Ba' Pham, Michelle Swab, Gordon V Cormack, Maura R Grossman, Ebrahim Bagheri, Zack Marshall

“…The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. …”
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AI in enhancing cultural sensitivity by Dwi Mariyono, Mufidul Abror

“…This research highlights AI's potential to foster adaptive learning environments, enhance engagement, and address educational inequalities. Recommendations emphasize the importance of ethical AI implementation to support equitable and inclusive practices in multicultural education.…”
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Optimal design of frame structures equipped with viscous dampers using machine learning techniques by Yi Wen, Jianze Wang, Jun Xu, Kaoshan Dai, Yuanfeng Shi, Reza Sharbati

“…The built models achieved an average R2 of 0.955 for the testing dataset, indicating a high level of predictive accuracy. Then, with the target of minimizing seismic responses of the structural system, the developed DP-based optimization algorithm effectively identifies the optimal damper arrangement for the considered three structure cases. …”
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Difficulties of Differential Diagnosis of Colon Diseases in the Infectious Practice by L. N. Mazankova, T. A. Chebotareva, E. I. Aliyevа, M. I. Pykov, E. I. Makarova, E. G. Moreva

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Utilising AI technique to identify depression risk among doctoral students by Changhong Teng, Chunmei Yang, Qiushi Liu

“…Based on the data from the 2019 Nature Global Doctoral Student Survey, we first screened 13 highly relevant features from a total of 37 features potentially related to the risk of depression among doctoral students by Random Forest algorithm. Subsequently, we trained the optimal prediction model to predict the doctoral students with depression risk using a Multilayer Perceptron (MLP), achieving an accuracy of 89.09% on the test set. …”
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Design and Verification of Reactor Power Control Based on Stepped Dynamic Matrix Controller by Xu Zhang, Zhiguang Deng, Jun Li, Youwei Yang, Quan Ma, Mingming Liu

“…As key equipment in nuclear power plant, the reactor power control system is adopted to strictly control and regulate the reactor power of a PWR (pressurized water reactor) in a nuclear power plant. A well-optimized predictive control algorithm based on SDMC (stepped dynamic matrix controller) is developed and introduced in this paper and applied to the power regulation of a reactor power model. …”
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USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…The methodological task integrates the main elements of methodological activity concerning planning and designing of educational process and its management by the teacher, and also predicts educational and cognitive actions of pupils. …”
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Evolutionary Search for Polynomial Lyapunov Functions: A Genetic Programming Method for Exponential Stability Certification by Roman Pykhnivskyi, Anton Ryzhov, Andrii Sobchuk, Yurii Kravchenko

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Improving the accuracy and metrological support of power meters in the frequency range from 37.5 to 178.6 GHz by A. V. Gusinsky, M. M. Kasperovich, V. A. Bogush

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Security-Reliability Analysis of NOMA-Assisted Hybrid Satellite-Terrestrial Relay Multi-Cast Transmission Networks Using Fountain Codes and Partial Relay Selection with Presence of... by Toan Van Nguyen, Trung Duy Tran, Ngoc Son Pham, Viet Tuan Pham, Lam Thanh Tu

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Adaptive Image-Based Leader-Follower Approach of Mobile Robot with Omnidirectional Camera by Dejun Guo, Hesheng Wang, Weidong Chen, Xinwu Liang

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Evaluation and Application of Machine Learning Techniques for Quality Improvement in Metal Product Manufacturing by Katarzyna Antosz, Lucia Knapčíková, Jozef Husár

“…A variety of classification algorithms, including neural networks (NNs), bagged trees (BT), and support vector machines (SVMs), were employed to efficiently analyse and predict defects. …”
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Spatial and temporal characteristics of water conservation services and rapid response framework for water yield in key ecological zones of the Yiluo River basin by Junqiang Xu, Fan Wang, Chao Ren, Jianmin Bian, Tao Li, Zikai Ping

“…The artificial neural network-based prediction framework achieved high performance with Pearson correlation coefficients exceeding 0.90 across all datasets. …”
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Hybrid active-passive thermal management system for deep wells: Long-term stability and multi-objective optimization by Zongwei Yao, Haomin Li, Hongxu Xu, Hongfei Yang, Qiushi Bi, Tianshuang Xu

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Characterization of the Collagen Extraction Manufacturing Process Using Markov Chains and Artificial Neural Networks by Rosa Trasvina-Osorio, Sergio Alonso-Romero, Juan de Anda-Suarez, Valentin Calzada-Ledesma, Javier Yanez-Mendiola, Luis Fernando Villanueva-Jimenez, Erick Rojas-Mancera

“…In the second stage, the predictive model MCMC-ANN presented a mean square error (MSE) of 0.00171, and a standard deviation (SD) of 0.00133. …”
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sedInterFoam 1.0: a three-phase numerical model for sediment transport applications with free surfaces by A. Mathieu, Y. Kim, T.-J. Hsu, C. Bonamy, J. Chauchat

“…Using sedInterFoam, four test cases are successfully reproduced to validate the free-surface evolution algorithm's implementation, mass conservation of sediment and fluid phases, and predictive capabilities and to demonstrate its potential in modeling a broader range of coastal applications with sediment transport dominated by surface waves.…”
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