Classical Benchmarks for Variational Quantum Eigensolver Simulations of the Hubbard Model by Antonios M. Alvertis, Abid Khan, Thomas Iadecola, Peter P. Orth, Norm Tubman

“…Our study highlights the capabilities and limitations of current approaches for solving the Hubbard model on quantum hardware, and we discuss potential future avenues of research.…”
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A Training-Optimization-Based Method for Constructing Domain-Specific Sentiment Lexicon by Maokang Du, Xiaoguang Li, Longyan Luo

“…Sentiment lexicon is an essential tool for sentiment analysis. Recent research studies indicate that constructing sentiment lexicons for special domains can achieve better results in sentiment analysis. …”
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A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data by Ovais A Jaffery, Lea Melki, Gregory Slabaugh, Wilson W Good, Caroline H Roney

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A Review of Learning-Based Methods for Adaptive Video Streaming Over HTTP by Hala Amer, Mohamed S. Hassan, Mahmoud H. Ismail

“…Emerging trends and open challenges are identified, providing researchers with timely insights into how learning algorithms can be used to shape the future of adaptive streaming systems.…”
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Artificial Intelligence Models for Predicting Stock Returns Using Fundamental, Technical, and Entropy-Based Strategies: A Semantic-Augmented Hybrid Approach by Gil Cohen, Avishay Aiche, Ron Eichel

“…These findings highlight the strategic importance of tailoring the semantic–algorithmic fusion to suit the nature of the predictive data and the investment horizon, with significant implications for portfolio management and future research in financial modeling.…”
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Multi-Objective Performance Evaluation Framework for Integrated Fiber-Reinforced Shading Systems by Salman Oukati Sadegh, Emad Tabadkani, Mahmoud Oukati Sadegh

“…The proposed framework benefits from integrating Multi-objective Evolutionary Algorithms (MOEAs). Such algorithms have proven to address conflicting parameters effectively while providing a range of different solutions to problems. …”
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Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

“…This research aims to improve the software quality and effectiveness of zakat management by the National Amil Zakat Agency (BAZNAS) through the development of a software defect prediction model (SDPM). …”
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An Application of Site Selection for Solid Waste Management System Using Neutrosophic Set by A.Savitha Mary, D. Sarukasan, C. Kayelvizhi, L. Jethruth Emelda Mary, F. Josephine Daisy, K. Pitchaimani

“…The findings of this research provide data-driven insights into optimizing solid waste management for four selected districts in Tamil Nadu. …”
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Performance Evaluation of Neighbors-Based Learning Methods for Network Intrusion Detection System by Ngoc Thien Nguyen

“…Consequently, intrusion detection technologies are being actively researched and optimized to enhance threat detection and prevention capabilities. …”
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A Dual Grid Collaborative Navigation Method and Computer Simulation Based on Data Link by Li Yongfeng, Hao Xiuqiang, Wu Zhenguo, Wu Gang, Guo Chubing

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Analysis of the Association between Teachers’ Classroom Teaching Behaviors and Students’ Knowledge Acceptance Based on Psychological Data Analysis by Tianjin Yao, Xiuye Yang

“…This paper adopts the method of psychological data analysis to conduct in-depth research and analysis on the correlation between teachers’ classroom teaching behaviors and students’ knowledge acceptance. …”
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METHODOLOGY OF DETERMINING FORECASTING CONTROLLERS OF DISTRIBUTED GENERATION PLANTS by Yu. N. Bulatov, A. V. Kryukov, N. V. Huan

“…On the basis of the use of algorithms for forecasting, it becomes possible to set automatic control system with a single parameter - the time of the forecast. …”
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Speech Emotion Recognition under White Noise by Chengwei HUANG, Guoming CHEN, Hua YU, Yongqiang BAO, Li ZHAO

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A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions by Ioannis Syllaidopoulos, Klimis S. Ntalianis, Ioannis Salmon

“…However, critical concerns such as algorithmic bias, data quality limitations, and governance challenges introduce significant obstacles to their deployment. …”
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Application of machine learning to stress corrosion cracking risk assessment by Aeshah H. Alamri

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Tight basis cycle representatives for persistent homology of large biological data sets. by Manu Aggarwal, Vipul Periwal

“…Here, we provide a strategy and algorithms to compute tight representative boundaries around nontrivial robust features in large data sets. …”
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Improving Attack Detection in IoV with Class Balancing and Feature Selection by Thierry Widyatama, Ifan Rizqa, Fauzi Adi Rafrastara

“…The CICIoV2024 dataset, utilized in this study, was balanced using the Random Under Sampling technique to address data imbalance issues. The ensemble algorithms evaluated in this research comprise Random Forest, Gradient Boosting, and XGBoost. …”
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New Strategies Based on Hierarchical Matrices for Matrix Polynomial Evaluation in Exascale Computing Era by Luisa Carracciuolo, Valeria Mele

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Analysis of Financial Reports in Companies Using Machine Learning by Piven Artem

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Promoting a valid question model for measuring computational thinking skills based on confirmatory factor analysis and Rasch model by Didik Setyawarno, Maryati, Ismail Fikri Natadiwijaya

“…Moreover, it introduced the question model, which is integrated with the fundamental dimensions of computational thinking skills. The research used a quantitative with a post-test-only design. …”
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