PS-YOLO-seg: A Lightweight Instance Segmentation Method for Lithium Mineral Microscopic Images Based on Improved YOLOv12-seg by Zeyang Qiu, Xueyu Huang, Zhicheng Deng, Xiangyu Xu, Zhenzhong Qiu

“…Microscopic image automatic recognition is a core technology for mineral composition analysis and plays a crucial role in advancing the intelligent development of smart mining systems. …”
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LEM-Detector: An Efficient Detector for Photovoltaic Panel Defect Detection by Xinwen Zhou, Xiang Li, Wenfu Huang, Ran Wei

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An automated extraction of spectral-temporal and spatial-temporal features of EEG for emotion detection by Monira Islam, Tan Lee

“…Abstract Emotion is an integral part of human cognitive processes and behaviors. Automatic detection and classification of human emotion has been a goal of applied research. …”
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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…Deep learning algorithms can automatically learn feature representation, perform well in processing large amounts of high-dimensional and complex data, and can effectively deal with the challenges brought by various data sources, but the training process is complex and the computational cost is high. …”
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An Automated Method for Detection and Enumeration of Olive Trees Through Remote Sensing by Muhammad Waleed, Tai-Won Um, Aftab Khan, Zubair Ahmad

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ACCOUNTING OF INSTRUMENTAL ERRORS IN THE CONTROL OF WINDINGS OF ELECTRICAL MACHINES WITH THE USE OF QUASI-PERIODIC TEST SIGNALS by A. A. Sheinikov, Yu. V. Suchodolov, V. V. Zelenko

“…The mathematical tool corresponding to the practice has been developed, that makes it possible to determine unambiguously the errors caused by finiteness of measurement intervals of quasi-periodic signals. Automatic accounting of these errors makes it possible to do without complex correlation processing of quasi-periodic signals that require large computing resources (time and speed of data processing, the amount of RAM) and to ensure the accuracy of measurements.…”
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Turkish Chest X-Ray Report Generation Model Using the Swin Enhanced Yield Transformer (Model-SEY) Framework by Murat Ucan, Buket Kaya, Mehmet Kaya

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Graph-informed convolutional autoencoder to classify brain responses during sleep by Sahar Zakeri, Somayeh Makouei, Sebelan Danishvar

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Adaptive DDoS Attack Detection: Entropy-Based Model With Dynamic Threshold and Suspicious IP Reevaluation by Juri Pebrianto, Vera Suryani

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Retroflex tongue as a non-invasive neurological marker of functional severity in older adults with ischemic stroke: a retrospective observational study by Yung-Sheng Huang, Yung-Sheng Huang, Hen-Hong Chang, Hen-Hong Chang, Hen-Hong Chang, John Y. Chiang, John Y. Chiang, Po-Chi Hsu, Po-Chi Hsu, Lun-Chien Lo, Lun-Chien Lo, Lun-Chien Lo

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Classifying kidney disease using a dense layers deep learning model by Amal Al-Rasheed, Sheikh Muhammad Saqib, Muhammad Zubair Asghar, Tehseen Mazhar, Asim Seedahmed Ali Osman, Mohammad Shahid, Muhammad Iqbal, Muhammad Amir Khan

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Semantic mapping-based comparison of digital building LogBook and energy performance certificate models - envisaging data reuse by Sara karami, José-Paulo de Almeida, Claire Ellul, Alberto Cardoso

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Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review by Rodrigo Fernandes, Alexandre Pessoa, Marta Salgado, Anselmo De Paiva, Ishak Pacal, Antonio Cunha

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DBANet: a dual-branch convolutional neural network with attention enhancement for motor imagery classification by Dandan Liang, Brendan Z. Allison, Ruiyu Zhao, Andrzej Cichocki, Jing Jin

“…Background Recently, Motor Imagery (MI) Electroencephalography (EEG) decoding has been extensively applied in diverse brain–computer interface (BCI) systems. Deep learning is widely used for signal processing in MI-BCI due to the reliability of automatic extracting features. …”
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Locally rendered high-resolution Land Use/Land Cover Bitmaps from OpenStreetMap Data for geospecific 3D Simulation by D. Frommholz

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Development of label-free cell tracking for discrimination of the heterogeneous mesenchymal migration. by Sota Endo, Shotaro Yamamoto, Hiromi Miyoshi

“…As cells are dynamic systems, phenotyping based on static data is complemented by dynamic data extracted from time-dependent cell characteristics. …”
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Research of the operation of an autonomous electrical complex with a combined composition of backup power sources by S. S. Chervonchenko, V. Ya. Frolov

“…For the successful fulfillment of the tasks set, this study applied the methods of mathematical modeling of power supply systems, methods of simulation modeling, the theories of automatic control, automated electric drive, and electrical circuits. …”
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Dataset resulting from the user study on comprehensibility of explainable AI algorithms by Szymon Bobek, Paloma Korycińska, Monika Krakowska, Maciej Mozolewski, Dorota Rak, Magdalena Zych, Magdalena Wójcik, Grzegorz J. Nalepa

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Image Quality Assessment Based on Joint Quality-Aware Representation Construction in Multiple Domains by Xiaobao Shang, Xinyu Zhao, Yong Ding

“…Image quality assessment that aims to evaluate the image quality automatically by a computational model plays a significant role in image processing systems. …”
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COph100: A comprehensive fundus image registration dataset from infants constituting the “RIDIRP” database by Yan Hu, Mingdao Gong, Zhongxi Qiu, Jiabao Liu, Hongli Shen, Mingzhen Yuan, Xiaoqing Zhang, Heng Li, Hai Lu, Jiang Liu

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