Parameter optimization of 3D convolutional neural network for dry-EEG motor imagery brain-machine interface by Nobuaki Kobayashi, Musashi Ino

“…We propose a method to maintain a high classification accuracy while enabling processing on the edge by optimizing the size and number of kernels and the layer structure. …”
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Fingerprint recognition using convolution neural network with inversion and augmented techniques by Reena Garg, Gunjan Singh, Aditya Singh, Manu Pratap Singh

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Design and Production of Interactive E-Learning Content Based on Need Assessment and its Impact on Self-Regulation Learning and Academic Performance of Pharmacy Students by Bahram Rostami, Parvin Zolghadri, Mansour Ojaghloo, Karimi Moghaddam, Alireza Yazdinezhad, Fahime Khaleghi

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EEG-SKDNet: A Self-Knowledge Distillation Model With Scaled Weights for Emotion Recognition From EEG Signals by Thuong Duong Thi Mai, Duc-Quang Vu, Huy Nguyen Phuong, Trung-Nghia Phung

“…Electroencephalogram-based emotion recognition has garnered increasing attention due to its potential in human–computer interaction and affective computing. While recent deep learning methods have achieved remarkable performance in this task, most approaches emphasize accuracy at the expense of computational efficiency, making them impractical for real-time applications or deployment on resource-constrained devices. …”
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Automated Overtake Assist System Using YOLOv4 and Mask R-CNN for Enhanced Autonomous Driving by Navya Thirumaleshwar Hegde, Kapileswar Rana, S. S. Barath, Florence Nishmitha, Vishnu G. Nair

“…The advent of computer vision technology has significantly advanced the development of automated driving systems, enabling more sophisticated and safer driving aids. …”
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AI powered detection and assessment of onychomycosis: A spotlight on yellow and deep learning by C. Agostini, R. Ranjan, M. Molnarova, A. Hadzic, O. Kubesch, V. Schnidar, H. Schnidar

“…Abstract Background Despite significant advances in computer‐aided diagnostics, onychomycosis, a widespread fungal nail infection, lacks an automated approach for objective analysis and classification. …”
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Enhancing Deep Learning Sustainability by Synchronized Multi Augmentation with Rotations and Multi-Backbone Architectures by Nikita Gordienko, Yuri Gordienko, Sergii Stirenko

“…It aims to increase model accuracy on previously unseen input data and to reduce computational requirements by minimizing neural network size, particularly advantageous for EI systems characterized by the limited computing resources. …”
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RESEARCH INTO THE AERODYNAMICS OF AIR FLOWS IN CYCLONES by V. Petrov, А. Аlеksashyn, S. Poznar

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A Fast-Response Method for Determining the Amplitude of a Signal in Microprocessor Automation and Control Systems with Frequency Fluctuations by Yu. V. Rumiantsev, F. A. Romaniuk, V. Yu. Rumiantsev

“…The effectiveness of the proposed solution was evaluated by a computational experiment using a digital model implemented in the MATLAB-Simulink dynamic modeling environment. …”
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Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

“…Underwater computer vision plays a vital role in ocean research, enabling autonomous navigation, infrastructure inspections, and marine life monitoring. …”
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Evaluation of the flow distribution system influence on mixing efficiency in a fluidized bed for low-size Geldart B particles: A case study using CFD by Diana I. González-Arango, Bernardo Herrera

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Utilizing X-ray radiography for non-destructive assessment of paddy rice grain quality traits by Murugesan Tharanya, Debarati Chakraborty, Anand Pandravada, Raman Babu, Mahantesh Gangashetti, Swapna Paidi, Sunita Choudhary, Kaliamoorthy Sivasakthi, Krithika Anbazhagan, Bhavani Vaditandra, Michael Waininger, Mareike Weule, Eva Hufnagel, Joelle Claußen, Jiří Vaněk, Thomas Wittenberg, Jana Kholova, Stefan Gerth

“…In the future, the integration of X-ray imaging and data analysis into the rice research and breeding process could accelerate the improvement of global agricultural productivity. …”
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Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model by Furqan Rustam, Muhammad Abubakar Siddique, Hafeez Ur Rehman Siddiqui, Saleem Ullah, Arif Mehmood, Imran Ashraf, Gyu Sang Choi

“…BIR uses the MobileNet model for initial-level computation for its lower computation power requirement and subsequently the output is fed to the CNN for further processing. …”
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imageseg: An R package for deep learning‐based image segmentation by Jürgen Niedballa, Jan Axtner, Timm Fabian Döbert, Andrew Tilker, An Nguyen, Seth T. Wong, Christian Fiderer, Marco Heurich, Andreas Wilting

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Artificial intelligence based surgical support for experimental laparoscopic Nissen fundoplication by Holger Till, Ciro Esposito, Chung Kwong Yeung, Dariusz Patkowski, Sameh Shehata, Steve Rothenberg, Georg Singer, Tristan Till

“…BackgroundComputer vision (CV), a subset of artificial intelligence (AI), enables deep learning models to detect specific events within digital images or videos. …”
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Discovery of EP4 antagonists with image-guided explainable deep learning workflow by Ma Pengsen, Cheng Zhiyuan, Cheng Zhixiang, Wang Yijie, Chai Xiaolei, Feng Bo, Xiang Hongxin, Zeng Li, Liu Xueming, Li Pengyong, Wei Leyi, Zou Quan, Liu Mingyao, Zeng Xiangxiang, Lu Weiqiang

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Extracranial arteriovenous malformations: a 10-year experience at a German vascular anomaly center and evaluation of diagnostic imaging for endovascular therapy assessment by Nadja Werba, Johannes Ludwig, Christel Weiss, Felix Struebing, Stefan Schoenberg, Maliha Sadick

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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection by Rodrigo Colnago Contreras, Monique Simplicio Viana, Victor José Souza Bernardino, Francisco Lledo dos Santos, Önsen Toygar, Rodrigo Capobianco Guido

“…With the advancement of computer vision and pattern recognition techniques, new possibilities are emerging to automate and enhance the detection of characteristics associated with ASD, particularly in the analysis of facial features. …”
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MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes by Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou, Syed Attique Shah

“…Existing AI-based medicine prediction systems require substantial training time, computing resources, and extensive labeled data, yet they often lack scalability. …”
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Elimination-based reasoning with LLM for multiple-choice educational question answering by Qianli Zhao, Mei Zhang

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