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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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

“…Based on these samples, the dynamic cosine and sine of the angle of one sample are calculated, the use of which in calculating the amplitude ensures its independence from frequency. Processing of the received amplitude with an amplifying element with a nonlinear coefficient makes it possible to achieve acceptable performance. …”
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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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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

“…A total of 57 video sequences were processed, extracting 3,138 images at 0.5-second intervals. …”
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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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Investigation of errors in the representation of 3D models in determining the parameters of parts of devices BY the example of a two-mass rotating system with elastic coupling by S. A. Bratchikov, E. A. Abramova

“…The objective of the study is to consider the application field of modern device development and design methods using the means of 3D modeling and simulation of physical processes. The validity of the application and criteria for the reliability of the results obtained in the sequential design of the mechanical part of the electric drive and the control system are investigated.Methods. …”
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Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks by Mavin Heim, Florian Heinrichs, Michael Hueppe, Fran Nunez, Alexander Szameitat, Muriel Reuter, Stefan M. Goetz, Corinna Weber

“…FNNs represent a neural network architecture tailored to smooth processes, and as such have been applied to EEG data classification recently. …”
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Thermal Analysis of Permanent Magnet Direct Drive Synchronous Traction Motor for Metro Vehicles by Xionghui HU

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ON THE EXPEDIENCY AND DIRECTIONS OF IMPROVING THE METHODOLOGY OF TEACHING STUDENTS MATERIAL OF THE CONTENT LINE "FUNCTIONS AND THEIR GRAPHS" by Тетяна Года, Олександр Школьний

“…The survey showed that most respondents often or constantly use modern computer technologies in the educational process, and are convinced of the need to improve the methodology of teaching students the material of the content line "Functions and their graphs". …”
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Influence of Wind Speed in Painting Room on the Uniformity of Paint Film by XU Hong - peng, ZOU Hui, WANG Jing - shuai, LI Ding - ding, PANG Mao - fei, ZHANG Mei - rong

“…The painting process using electrostatic rotating bell - cup is the current mainstream of automotive painting process. …”
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Clinical and Radiographic Features of Lymphogenous Dissemination in Pulmonary Tuberculosis by A. S. Vinokurov, I. A. Sokolina, O. O. Vinokurova

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The Wrong Tool for the Right Job: Composition on 8-bit Machines by Tobias Banks

“…Few artistic mediums exemplify the conflict between possibilities and limitations, and the sheer ingenuity of artists as they balance these two forces, as well as computer music does. This paper will delve into the rich tradition of demoscene and videogame music, that flourished in the early days of personal computers and gaming consoles, to examine how the hardware used by different composers affected their processes. …”
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Automated Windrow Profiling System in Mechanized Peanut Harvesting by Alexandre Padilha Senni, Mario Luiz Tronco, Emerson Carlos Pedrino, Rouverson Pereira da Silva

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Developing High School Students’ Listening Skills in The Context of Multimodal English Communication by Means of a Moodle-Based Training Program by M. V. Danilin, L. A. Milovanova

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