Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

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Quid pro Quo: Information disclosure for AI feedback in Human-AI collaboration by Izabel Cvetkovic, Imke Grashoff, Ana Jovancevic, Eva Bittner

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Evaluating Handwritten Answers Using DeepSeek: A Comparative Analysis of Deep Learning-Based Assessment by Sanskar Bansal, Vinay Gupta, Eshita Gupta, Peeyush Garg

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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

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Graph visualization efficiency of popular web-based libraries by Xin Zhao, Xuan Wang, Xianzhe Zou, Huiming Liang, Genghuai Bai, Ning Zhang, Xin Huang, Fangfang Zhou, Ying Zhao

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Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection by Xu Wang, Qisheng Xu, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, Yong Dou

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Integrative in Silico modeling for mTOR inhibition: From ridge classifiers to descriptor-free deep neural networks by Seyed Alireza Khanghahi, Hadi Kamkar, Seyedehsamaneh Shojaeilangari, Abdollah Allahverdi, Parviz Abdolmaleki

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Radio Frequency Sensing–Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models by Najah AbuAli, Ihtesham Jadoon, Farman Ullah, Mohammad Hayajneh, Shayma Alkobaisi

“…AlexNet is robust and maintains high precision and recall across all configurations. Computational analysis reveals that AlexNet is time-efficient, particularly at large batch sizes, while GoogleNet incurs higher computational costs due to its complex architecture. …”
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. …”
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If ChatGPT can do it, where is my creativity? generative AI boosts performance but diminishes experience in creative writing by Peidong Mei, Deborah N. Brewis, Fortune Nwaiwu, Deshan Sumanathilaka, Fernando Alva-Manchego, Joanna Demaree-Cotton

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Experimental evaluation of cognitive agents for collaboration in human-autonomy cyber defense teams by Yinuo Du, Baptiste Prébot, Tyler Malloy, Fei Fang, Cleotilde Gonzalez

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Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

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Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning by Imam Tahyudin, Ade Nurhopipah, Ades Tikaningsih, Puji Lestari, Yaya Suryana, Edi Winarko, Eko Winarto, Nazwan Haza, Hidetaka Nambo

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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…This is done through the implementation of more sophisticated model regularization techniques and automating the hyperparameter optimization process. The study intends to show how model architectural changes and optimization approaches can offer solutions to issues like overfitting and significant resource expenditure on computation and ultimately improve mushroom classification systems for efficiency and efficacy. …”
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A Novel Hybrid Optimizer Based on Coati Optimization Algorithm and Differential Evolution for Global Optimization and Constrained Engineering Problems by Saptadeep Biswas, Binanda Maiti, Gyan Singh, Absalom E. Ezugwu, Kashif Saleem, Laith Abualigah, Aseel Smerat, Uttam Kumar Bera

“…This study contributes a computationally efficient and generalizable hybrid optimization framework, offering a promising solution for theoretical benchmarks and real-world engineering applications.…”
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Leveraging Deep Learning and Multimodal Large Language Models for Near-Miss Detection Using Crowdsourced Videos by Shadi Jaradat, Mohammed Elhenawy, Huthaifa I. Ashqar, Alexander Paz, Richi Nayak

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Navigating relationships with GenAI chatbots: User attitudes, acceptability, and potential by Laura M. Vowels, Rachel R.R. Francois-Walcott, Maëlle Grandjean, Joëlle Darwiche, Matthew J. Vowels

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Frequent estuarine engineering exacerbates flood risk in the Greater Bay Area by Ping Zhang, Haichen Liu, Huayang Cai, Suying Ou, Zhijun Dai, Jianliang Lin, Qingshu Yang

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Prediction and optimization of gas turbine secondary air system cooling efficiency based on deep learning by Yulong Yao, Bo Hu, Chuan Wang, Jiawei Fan

“…Ultimately, optimal boundary conditions were determined within the feasible parameter range. Detailed Computational Fluid Dynamics (CFD) visualizations confirm that the optimized flow not only cools more efficiently but also promotes stable impingement without excessive separation. …”
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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

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