Fine-tuning text-to-SQL models with reinforcement-learning training objectives by Xuan-Bang Nguyen, Xuan-Hieu Phan, Massimo Piccardi

“…Text-to-SQL is an important natural language processing task that helps users automatically convert natural language queries into formal SQL code. While transformer-based models have pushed text-to-SQL to unprecedented accuracy levels in recent years, such performance is confined to models of very large size that can only be run in specialised clouds. …”
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Square-Based Division Scheme for Image Encryption Using Generalized Fibonacci Matrices by Panagiotis Oikonomou, George K. Kranas, Maria Sapounaki, Georgios Spathoulas, Aikaterini Aretaki, Athanasios Kakarountas, Maria Adam

“…The proposed encryption scheme can dynamically adapt to the image dimensions and ensure compatibility with images of varying and high resolutions, while it serves as a yardstick for any symmetric-key image encryption algorithm. …”
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Accuracy improvement in financial sanction screening: is natural language processing the solution? by Seihee Kim, ShengYun Yang

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Performance Analysis of the (1+1) EA on Mobile Robot Path Planning by Xinsheng Lai, Yulin Feng

“…Path planning is a fundamental function of mobile robots that have been nowadays used in a variety of areas. Evolutionary algorithms (EAs) have been experimentally showed to be efficient for the problem of mobile robot path planning, an NP-problem. …”
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HP_FLAP: homomorphic and polymorphic federated learning aggregation of parameters framework by Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, Ali Raad

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An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine by Yishan Wu, Mengxue Pang, Jianqiang Ma, Wei Ou, Qiuling Yue, Wenbao Han

“…By integrating ShangMi cryptographic algorithms and blockchain, it optimizes performance, achieving 35% lower communication overhead than previous protocols. …”
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Artificial Intelligence in the Non-Invasive Detection of Melanoma by Banu İsmail Mendi, Kivanc Kose, Lauren Fleshner, Richard Adam, Bijan Safai, Banu Farabi, Mehmet Fatih Atak

“…This review explores the current status of the application of AI-based algorithms in the detection of melanoma, underscoring its potential to aid dermatologists in clinical practice. …”
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A Diagnostic and Performance System for Soccer: Technical Design and Development by Alberto Gascón, Álvaro Marco, David Buldain, Javier Alfaro-Santafé, Jose Victor Alfaro-Santafé, Antonio Gómez-Bernal, Roberto Casas

“…Data were collected from nine professional players from the SD Huesca women’s team during controlled tests, and bespoke algorithms were developed to process kinematic data for precise event detection. …”
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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

“…The findings show that ML algorithms consistently outperform traditional models due to their capacity to handle large, non-linear datasets and continuously enhance predictive accuracy as new patterns emerge. …”
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Highly-Efficient Hardware Architecture for ML-KEM PQC Standard by Haesung Jung, Quang Dang Truong, Hanho Lee

“…This paper presents an efficient hardware architecture for the ML-KEM scheme, capable of supporting all algorithms and flexibly adapting to different security levels. …”
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Optimization for Express/Local Train Stop Plans on City Rapid Rail Transit Lines by GUO Jingfan

“…[Result & Conclusion] The stop plan verifies the effectiveness of the proposed model and algorithm. While the optimized stop plan for express/local trains on city rapid rail transit lines reduces passenger travel costs by 19.48%, increases enterprise operational costs by 4.23%, and leads to an overall cost reduction of 4.18%. …”
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Balancing public safety and civil rights: Successes and challenges of AI-based video surveillance systems by S.S. Vaddiparti, F. Babaiev

“…It revealed that although modern AI video analytics systems are highly effective in enhancing security (e.g., threat detection and behavioural analysis), they also generate significant ethical and legal risks – particularly with respect to privacy violations and algorithmic discrimination. A comparative legal analysis highlighted marked differences in regulatory models across jurisdictions: European systems emphasise privacy protection, while the Chinese approach prioritises threat prevention. …”
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Optimization of delivery routes for takeout under time-varying road networks by Jiaci Wang, Liang Huang, Yuanqiao Wen, Yamin Huang, Man Zhu

“…The proposed model is solved using a taboo search algorithm. The effectiveness of the delivery model and algorithm is validated through simulations that compare the performance of the delivery route model under different weather conditions and road obstacle coefficients. …”
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Research on highway road condition intelligent assessment and optimization system based on deep learning and internet of things by Tingquan He, Changhai Wang, Riyan Lan, Haiyu Luo

“…RetinaNet, a state-of-the-art two-stage detection algorithm, leverages Focal Loss to address the challenge of class imbalance, making it particularly effective in detecting rare and hard-to-classify objects. …”
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A Novel Transformer-Based Multiscale Siamese Framework for High-Resolution Remote Sensing Change Detection by Liangjun Wang, Weitao Chen, Haoyi Wang, Zhengchao Chen

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Configurational Comparison of a Binary Logic Transmission Unit Applicable to Agricultural Tractor Hydro-Mechanical Continuously Variable Transmissions and Its Wet Clutch Optimizati... by Wenjie Li, Zhun Cheng, Mengchen Yang

“…Under light-load conditions, the optimized GRNN reduced total relative error by 39.6%, while under heavy-load conditions, it achieved a 61% reduction. …”
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Research on Wind Power Grid Integration Power Fluctuation Smoothing Control Strategy Based on Energy Storage Battery Health Prediction by Bin Cheng, Jiahui Wu, Guancheng Lv, Zhongbo Li

“…Secondly, based on the health prediction results, a control strategy based on the model predictive control (MPC) algorithm is proposed to manage the energy storage system’s charge/discharge process, ensuring that the power meets grid integration requirements while minimizing energy storage lifespan loss. …”
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An automated adaptive trading system for enhanced performance of emerging market portfolios by Cristiana Tudor, Robert Sova

“…Abstract One of the most notable developments in the asset management industry in recent decades has been the growth of algorithmic trading. At the same time, significant structural changes in the industry have occurred, with passive investing gaining momentum. …”
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Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels by Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Szabolcs Szávai, Gyula Varga

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Exploring the Impact of Artificial Intelligence on Healthcare Management: A Combined Systematic Review and Machine-Learning Approach by Vito Santamato, Caterina Tricase, Nicola Faccilongo, Massimo Iacoviello, Agostino Marengo

“…The scientific novelty of the study lies in its integrated approach, combining systematic review and predictive algorithms to provide a comprehensive understanding of AI’s role in improving healthcare management across different contexts. …”
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