Knowledge cues to human origins facilitate self-disclosure during interactions with chatbots by Gabriella Warren-Smith, Guy Laban, Emily-Marie Pacheco, Emily S. Cross

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Thermal runaway and flame propagation in battery packs: numerical simulation and deep learning prediction by Zilong Wang, Hosein Sadeghi, Xinyan Huang, Francesco Restuccia

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SwinSegFormer: Advancing Aerial Image Semantic Segmentation for Flood Detection by Muhammad Tariq Shaheen, Hafsa Iqbal, Numan Khurshid, Haleema Sadia, Nasir Saeed

“…Additionally, we developed a post-processing module to categorize areas into flooded and non-flooded. …”
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Enhancing Pneumonia Diagnosis Through AI Interpretability: Comparative Analysis of Pixel-Level Interpretability and Grad-CAM on X-ray Imaging With VGG19 by Mohammad Ennab, Hamid Mcheick

“…Our findings aim to determine which interpretability technique offers a more clinically meaningful explanation, balancing computational feasibility and diagnostic reliability. …”
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The Two-Stage Alzheimer’s Disease Automatic Diagnosis Algorithm Based on ST-MBV3 Model by Guiping Li, Zhenhao Jin, Minghui Deng, Junjie Gong, Piaoyi Zheng

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Graph neural network-tracker: a graph neural network-based multi-sensor fusion framework for robust unmanned aerial vehicle tracking by Karim Dabbabi, Tijeni Delleji

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Dynamic Agricultural Pest Classification Using Enhanced SAO-CNN and Swarm Intelligence Optimization for UAVs by Shiwei Chu, Wenxia Bao

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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

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Finding Reliability of Slopes by Optimization of ANFIS with GA, FFA and PSO by Jayanti Bharti, Pijush Samui

“…The data sample is splitted in 30:70 for testing and training during model processing. The obtained model results are verified through regression plot, 36 statistical indices, Rank value, Taylor diagram and uncertainty analysis. …”
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Flow characteristics analysis of an ultrathin forward-curved multi-blade centrifugal fan by Weiwei Liao, Yijun Mao, Xiaobing Luo

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A comprehensive investigation of storm surge-induced urban flooding in Macao during Typhoon Hato in 2017 by Jinlan Guo, Shan Huang, Mingming Ge, Joseph Hun Wei Lee

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Enhanced Model for Gestational Diabetes Mellitus Prediction Using a Fusion Technique of Multiple Algorithms with Explainability by Ahmad Hassan, Saima Gulzar Ahmad, Tassawar Iqbal, Ehsan Ullah Munir, Kashif Ayyub, Naeem Ramzan

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Improved Crime Prediction Using Hybrid Neural Architecture Search Together with Hyperparameter Tuning by Rami Ayied Alshahrani, Tariq Jamil Saifullah Khanzada

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A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHi... by Gowri Shankar Manivannan, Karthikeyan Shanmugam, Harikumar Rajaguru, Satish V. Talawar, Rajanna Siddaiah

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Evaluating the efficacy of Amanda: A voice-based large language model chatbot for relationship challenges by Laura M. Vowels, Shannon K. Sweeney, Matthew J. Vowels

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Objective and Intelligent Acquisition of Two Types of Decision Data Based on Online Comment Information and Its Application in Emergency Decision-Making by Ruipu Tan, Lehua Yang, Jing Li

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Speech emotion recognition algorithm of intelligent robot based on ACO-SVM by Xueliang Kang

“…Despite the significant advancements in computer speech emotion recognition technology, the deployment of intelligent robots in this domain continues to encounter challenges related to inefficiency and emotional ambiguity. …”
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Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning by Loke Kok Foong, Vojtech Blazek, Lukas Prokop, Stanislav Misak, Farruh Atamurotov, Nima Khalilpoor

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Intrusion Detection and Mitigation Method for the Industrial Internet of Things Using Bidirectional Convolutional Long Short-Term Memory and Deep Recurrent Convolutional Q-Networks by Zhang Yan, Piyush Kumar Shukla, Prashant Kumar Shukla, Kanika Thakur, Anurag Sinha, Saifullah Khalid

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DEDSWIN-Net: Dual Encoder Dilated Convolution and Swin Transformer Network for the Classification of Liver CT Images by Jyoshna Allenki, Hemant Kumar Soni

“…Abstract Chronic liver disease (CLD) segmentation and classification present significant challenges due to inaccurate diagnosis and misleading clinical treatment processes. In contemporary times, artificial intelligence (AI) and deep learning (DL) models are considered important tools for driving quantitative biomarkers for efficient stratification and computer-aided diagnosis support. …”
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