Enhancing crack detection in railway tracks through AI-optimized ultrasonic guided wave modes by Jianjun Liu, Huan Luo, Han Hu, Jian Li

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Simulating Complex Urban Behaviours With AI: Incorporating Improved Intelligent Agents in Urban Simulation Models by Solon Solomou, Ulysses Sengupta

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BREATHE: A GeoAI-Powered Air Quality Monitoring and Forecasting System for Urban Sustainability by S. D. Adduri, T. Ali

“…By bridging the gap between monitoring and predictive analytics, this study presents a replicable framework for large-scale air quality management in urban environments worldwide.…”
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Crisis-line workers’ perspectives on AI in suicide prevention: a qualitative exploration of risk and opportunity by Jacob Greaves, Erminia Colucci

“…Recent advancements in artificial intelligence (AI) present new possibilities for crisis intervention in the form of AI-powered conversational partners. …”
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AI-enabled OSA screening using EEG data analysis and English listening comprehension insights by Zhihong Gu, Yanbing Fan

“…IntroductionThe integration of artificial intelligence into the diagnosis and management of sleep-disordered breathing presents a transformative opportunity to enhance clinical outcomes, particularly through novel methods like EEG data analysis. …”
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Generative AI Meets Virtual Reality: A Comprehensive Survey on Applications, Challenges, and Future Direction by Fatema Rahimi, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi

“…The integration of generative artificial intelligence (AI) with virtual reality (VR) is reshaping how immersive environments are designed, personalized, and experienced. …”
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Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT by Danylyna Shpakivska Bilan, Irene Alice Chicchi Giglioli, Pablo Cuesta, Elena Cañadas, Ignacio de Ramón, Fernando Maestú, Jose Alda, Josep Antoni Ramos-Quiroga, Jorge A. Herrera, Alfonso Amado, Javier Quintero

“…Abstract Attention-deficit/hyperactivity disorder (ADHD) presents with symptoms like impulsiveness, inattention, and hyperactivity, often affecting children’s academic and social functioning. …”
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druglikeFilter 1.0: An AI powered filter for collectively measuring the drug-likeness of compounds by Minjie Mou, Yintao Zhang, Yuntao Qian, Zhimeng Zhou, Yang Liao, Tianle Niu, Wei Hu, Yuanhao Chen, Ruoyu Jiang, Hongping Zhao, Haibin Dai, Yang Zhang, Tingting Fu

“…Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. …”
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Detection of Transformer Faults: AI-Supported Machine Learning Application in Sweep Frequency Response Analysis by Hakan Çuhadaroğlu, Yılmaz Uyaroğlu

“…In this study, we used artificial intelligence (AI) and machine learning (ML) techniques to analyze the data generated by SFRA tests. …”
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Multi-Objective Optimization of Independent Automotive Suspension by AI and Quantum Approaches: A Systematic Review by Muhammad Waqas Arshad, Stefano Lodi, David Q. Liu

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AI-Based Vehicle State Estimation Using Multi-Sensor Perception and Real-World Data by Julian Ruggaber, Daniel Pölzleitner, Jonathan Brembeck

“…Experimental results based on real-world data demonstrate that the AI-based estimator presented in this work achieves accurate and robust results under various conditions. …”
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Detecting AI-Generated Images Using a Hybrid ResNet-SE Attention Model by Abhilash Reddy Gunukula, Himel Das Gupta, Victor S. Sheng

“…While these technologies offer benefits in creative domains, they also pose serious risks in terms of misinformation, digital forgery, and identity manipulation. This paper presents a novel hybrid deep learning model for detecting AI-generated images by integrating the ResNet-50 architecture with Squeeze-and-Excitation (SE) attention blocks. …”
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Enhancing Kidney Disease Diagnosis Using ACO-Based Feature Selection and Explainable AI Techniques by Abbas Jafar, Myungho Lee

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Application of AI in Date Fruit Detection—Performance Analysis of YOLO and Faster R-CNN Models by Seweryn Lipiński, Szymon Sadkowski, Paweł Chwietczuk

“…Presented study evaluates and compares two deep learning models, i.e., YOLOv8n and Faster R-CNN, for automated detection of date fruits in natural orchard environments. …”
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Attitudes towards AI counseling: the existence of perceptual fear in affecting perceived chatbot support quality by Wing Man Keung, Tsz Yan So

“…IntroductionDue to the shortage of financial and human resources in the local mental health industry, AI counseling presents itself as a cost-effective solution to address this limitation. …”
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Development and Evaluation of a Tool for Blind Users Utilizing AI Object Detection and Haptic Feedback by Georgios Voutsakelis, Ioannis Dimkaros, Nikolaos Tzimos, George Kokkonis, Sotirios Kontogiannis

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Transforming Education in the AI Era: A Technology–Organization–Environment Framework Inquiry into Public Discourse by Jinqiao Zhou, Hongfeng Zhang

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AI-heat transfer analysis of casson fluid in uniformly heated enclosure with semi heated baffle by Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian

“…We have observed that the heat transfer coefficient improves as Rayleigh and Prandtl numbers increase. We believe that the present AI-based outcomes will be helpful for predicting natural convection phenomena subject to thermal engineering standpoints.…”
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A Comprehensive Review of AI Algorithms for Performance Prediction, Optimization, and Process Control in Desalination Systems by Mahmoud Ibnouf, Hadi Jaber, Hadil Abukhalifeh, Mohammed Ghazal, Mohamad Ramadan, Mohammad Alkhedher

“…In addition, a future outlook for the topic and gaps in the current literature have been identified and presented. In general, it was observed that AI algorithms have had a significant impact on desalination literature. …”
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AI post-intervention operational and functional outcomes prediction in ischemic stroke patients using MRIs by Emily Wittrup, John Reavey-Cantwell, Aditya S. Pandey, Dennis J. Rivet II, Kayvan Najarian

“…While further validation of the presented models is necessary before adoption, this approach aims to enhance personalized patient management and operational decision-making in healthcare settings. …”
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