Automated classification of chest X-rays: a deep learning approach with attention mechanisms by Burcu Oltu, Selda Güney, Seniha Esen Yuksel, Berna Dengiz

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Unsupervised hyperspectral noise estimation and restoration via interband-invariant representation learning by Zhaozhi Luo, Janne Heiskanen, Xinyu Wang, Yanfei Zhong, Petri Pellikka

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Ignition delay prediction for fuels with diverse molecular structures using transfer learning-based neural networks by Mo Yang, Dezhi Zhou

“…The proposed framework demonstrated reliable and high prediction accuracy, achieving a high level of reliability for fuels with limited experimental measurements. …”
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Fine-Tuning-Based Transfer Learning for Building Extraction from Off-Nadir Remote Sensing Images by Bipul Neupane, Jagannath Aryal, Abbas Rajabifard

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Deep ensemble learning for gastrointestinal diagnosis using endoscopic image classification by Samra Siddiqui, Junaid Ali Khan, Shabbab Algamdi

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SLEEP-SAFE: Self-Supervised Learning for Estimating Electroencephalogram Patterns With Structural Analysis of Fatigue Evidence by Wonjun Ko, Jeongwon Choe, Jonggu Kang

“…Recently, deep learning frameworks have gained increasing attentions from electroencephalogram (EEG)-based driver’s fatigue estimation, thanks to their unprecedented feature extraction calibre. …”
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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

“…The proposed framework was systematically evaluated using low-resolution microscopic data and challenging, noisy backgrounds. …”
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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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Confidence-Aware Multi-Model Image Classification for Early Disease Detection in Plants by Zhong Tianyi, Iqbal Muhammad Azhar, Zhang Xu

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Improving ocean reanalyses of observationally sparse regions with transfer learning by Simon Lentz, Sebastian Brune, Christopher Kadow, Johanna Baehr

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Enhancing Symbol Recognition in Library Science via Advanced Technological Solutions by Eleonora Bernasconi, Stefano Ferilli

“…The system is supported by a high-performance computing framework to manage large datasets efficiently, thereby facilitating more precise identification and analysis. …”
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Explainable AI for Alzheimer Detection: A Review of Current Methods and Applications by Fatima Hasan Saif, Mohamed Nasser Al-Andoli, Wan Mohd Yaakob Wan Bejuri

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Efficient super resolution-based detail injection network for multispectral pan-sharpening by Yaxu Wang, Xiaobo Luo, Hongwei Ye

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Towards real-time interest point detection and description for mobile and robotic devices by Patrick Rowsome, Muhammad Adil Raja, R. Muhammad Atif Azad

“…Convolutional Neural Networks (CNNs) have been successfully adopted by state-of-the-art feature point detection and description networks for the past number of years. …”
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TensorFlow-Native Implementation for Crack Detection in Concrete Structures by Ayebare, Memory, Chavula, Petros, Mugisha, Simon, Byamukama, Willbroad

“…The methodology, incorporating specific framework optimizations and a rigorous training configuration, achieved a remarkable overall classification accuracy of 99.375% on the validation dataset. …”
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On the Question of the Applicability of Artificial Intelligence Systems to Forensic Examination of Documents and Their Requisites by A. F. Kupin, A. S. Kovalenko

“…The procedure and principles of operation of convolutional neural networks are described and, using their example, the results that can be achieved during forensic handwriting and technical forensic examinations of documents, as well as studies conducted within the framework of forensic expert activities, in particular, the identification of signs of technical forgery of documents (installation, erasure, additions, finishing) are indicated, establishing the facts of the execution of several signatures or handwritten records by one or different performers, establishing the original content of the records, fragments of which have been partially lost or distorted. …”
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Power Quality Assessment and Optimization in FUZZY-Driven Healthcare Devices by Dinesh Kumar Nishad, Saifullah Khalid, Rashmi Singh

“…The proposed system provides a scalable framework for modernizing power quality monitoring and control in healthcare facilities.…”
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End-to-End Deep-Learning-Based Surrogate Modeling for Supersonic Airfoil Shape Optimization by Diogo Pereira, Frederico Afonso, Fernando Lau

“…To bridge this gap, this work exploits knowledge learned from subsonic and transonic real-world data and introduces a rapid optimization framework tailored for the supersonic regime. A novel end-to-end multitask Convolutional Neural Network is proposed to predict the aerodynamic coefficients of an airfoil shape, extracting global and local features directly from the geometry. …”
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Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning by Wenfeng Dai, Yanhong Wang, Shuai Yan, Qingzhi Yu, Xiang Cheng

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MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models by Yingzan Ren, Tiantian Zhang, Jian Liu, Fubin Ma, Jiaxin Chen, Ponian Li, Guodong Xiao, Chuanqi Sun, Yusen Zhang

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