3D‐TabNetHS: A hyperspectral image classification method based on improved interpretable 3D attentive TabNet by Ning Li, Daozhi Wei, Shucai Huang, Yong Zhang

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DIGITAL TECHNOLOGIES AS A MEANS OF ADAPTIVE LEARNING FOR HIGHER EDUCATION INFORMATICS AND MATHEMATICS by Олена Косовець, Олена Соя, Ярослав Крупський, Любов Тютюн

“…It is substantiated that with the development of e-learning it became possible to effectively ensure the adaptability of the learning process of higher education in computer science and mathematics. Adaptation involves the analysis of individual characteristics and the initial level of training of students, the implementation of the process of interactive learning, evaluation of success criteria for the transition to the next level of education, and more. …”
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From One Domain to Another: The Pitfalls of Gender Recognition in Unseen Environments by Nzakiese Mbongo, Kailash A. Hambarde, Hugo Proença

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Action Recognition in Videos through a Transfer-Learning-Based Technique by Elizabeth López-Lozada, Humberto Sossa, Elsa Rubio-Espino, Jesús Yaljá Montiel-Pérez

“…In computer vision, human action recognition is a hot topic, popularized by the development of deep learning. …”
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Human Scene Understanding Mechanism-Based Image Captioning for Blind Assistance by Jong-Hoon Kim, Sung-Wook Park, Jun-Ho Huh, Se-Hoon Jung, Chun-Bo Sim

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Lightweight AI Models in Mineral Processing: Classifying Hydrocyclone Underflow With ResNet-18 and MobileViT-V2 by Tomas Henrique Coelho E Silva, Ricardo Augusto Rabelo Oliveira

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Proposes Geometric Accuracy and Surface Roughness Estimation of Anatomical Models of the Pelvic Area Manufactured Using a Material Extrusion Additive Technique by Paweł Turek, Sławomir Snela, Grzegorz Budzik, Anna Bazan, Jarosław Jabłoński, Łukasz Przeszłowski, Robert Wojnarowski, Tomasz Dziubek, Jana Petru

“…Conducting a reliable evaluation of the accuracy of the manufacture of anatomical structure models is essential. …”
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A Novel Deep Learner for Human Behavior Prediction Over Public Video Surveillance by Bayan Alabdullah, Bisma Batool Fatima, Haifa F. Alhasson, Mohammed Alshehri, Yahya AlQahtani, Nouf Albhassabi, Hui Liu

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Numerical investigation of proppant transportation characteristics in hydraulically fractured wedge fractures by Xiaofeng Sun, Jinxin Bao, Zhipeng Li, Jingyu Qu

“…To address these issues, this study employs computational fluid dynamics (CFD) to study the transportation of fracturing fluid and proppant within a fracture network. …”
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Left Ventricle Blood Attenuation in Non-Contrast Chest CT Scan as a Clue for Prediction of Anemia by Hamid Dahmardeh, Aynaz Gerami, Mahmoud Khansari, Leyla Abdolkarimi, Seyede Sara Pakdaman Kolour, Majid Ghodsi, Hoseinali Danesh, Mohamad Ghazanfari Hashemi

“…In the current study, we aimed to evaluate the left ventricle blood attenuation and its relation to patients’ hemoglobin levels. …”
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EEG–fNIRS signal integration for motor imagery classification using deep learning and evidence theory by Mohammed E. Seno, Niladri Maiti, Maulik Patel, Mihirkumar M. Patel, Kalpesh B. Chaudhary, Ashish Pasaya, Babacar Toure

“…To address the limitations of traditional unimodal brain-computer interface BCI) technologies based on electroencephalography (EEG) such as low spatial resolution and high susceptibility to noise an increasing number of neuroscience-driven studies have begun to focus on BCI systems that fuse EEG signals with functional near-infrared spectroscopy (fNIRS) signals. …”
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Enhancing Detection of Control State for High-Speed Asynchronous SSVEP-BCIs Using Frequency-Specific Framework by Yufeng Ke, Jiale Du, Shuang Liu, Dong Ming

“…This study proposed a novel frequency-specific (FS) algorithm framework for enhancing control state detection using short data length toward high-performance asynchronous steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCI). The FS framework sequentially incorporated task-related component analysis (TRCA)-based SSVEP identification and a classifier bank containing multiple FS control state detection classifiers. …”
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Dimensional Accuracy Assessment of Medical Anatomical Models Produced by Hospital-Based Fused Deposition Modeling 3D Printer by Kevin Wendo, Catherine Behets, Olivier Barbier, Benoit Herman, Thomas Schubert, Benoit Raucent, Raphael Olszewski

“…As 3D printing technology expands rapidly in medical disciplines, the accuracy evaluation of 3D-printed medical models is required. …”
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Case Report: A case of femoral metastatic cancer misdiagnosed as isolated femoral lesser trochanter avulsion fracture by Meng-qi Pang, Feng-ze Wu, Jia-yan Chen, Rang-teng Zhu, Gang Jin, Wei-jie Gong, Han-tao Jiang

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DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI by Saravanan Srinivasan, Lalitha Somasundharam, Sukumar Rajendran, Virendra Pal Singh, Sandeep Kumar Mathivanan, Usha Moorthy

“…Abstract Objective The primary aim of this research is to develop an effective and robust model for identifying and classifying diseases in general fruits, particularly apples, guavas, mangoes, pomegranates, and oranges, utilizing computer vision techniques. Material An open-source collection of fruit disease images, comprising both diseased and healthy samples from the first five fruit types, was used in this study. …”
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Clinical and laboratory features of COVID-19 in young people by A. Kh. Nurpeisova, L. K. Alimova, Zh. B. Ponezheva, I. V. Mannanova, K. N. Popova, A. I. Bikmukhametova, D. N. Protsenko, I. N. Tyurin, A. M. Domkina

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Differential impact of lipoprotein(a) on subclinical coronary atherosclerosis in asymptomatic individuals with and without diabetes mellitus by Mi-Hee Jang, Sangwoo Park, Soe Hee Ann, Yong-Giun Kim, Young-Jee Jeon, Soyeoun Lim, Woon Jung Kwon, Seong Hoon Choi, Seungbong Han, Gyung-Min Park

“…We conducted a retrospective analysis of 7201 asymptomatic people (average age 54.4 ± 7.9 years; 65.3% male) who voluntarily had coronary computed tomography angiography (CCTA) as part of a general health evaluation and had no history of coronary artery disease (CAD). …”
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Multi-dimensional analysis of the hybrid profiled propeller of a pentacopter UAV: Aerodynamic, aero-acoustic, and structural parametric estimations utilizing synergistic engineerin... by Mahendran Rajendran, Manikandan Arumugam, Laxana Sourirajan, Senthil Kumar Solaiappan, Sharandeep Singh Bali, Beena Stanislaus Arputharaj, Pradesh Sakthivel, Subhav Singh, Khristina Maksudovna Vafaeva, Vijayanandh Raja

“…Methodologies such as Computational Fluid Dynamics were employed to assess aerodynamic performance, while Fluid-Structure Interaction (FSI) was used for evaluating the structural integrity of the propellers. …”
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Desmoplastic Small Round Cell Tumor: a study of CT, MRI, PET/CT multimodal imaging features and their correlations with pathology by Kaiwei Xu, Yi Chen, Wenqi Shen, Fan Liu, Ruoyu Wu, Jiajing Ni, Linwei Wang, Chunqu Chen, Lubin Zhu, Weijian Zhou, Jian Zhang, Changjing Zuo, Jianhua Wang

“…Abstract Purpose Exploring the computed tomography (CT), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography (FDG-PET)/CT Multimodal Imaging Characteristics of Desmoplastic Small Round Cell Tumor (DSRCT) to enhance the diagnostic proficiency of this condition. …”
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EFFICACY AND SAFETY OF SOME ETIOTROPIC THERAPEUTIC SCHEMES FOR TREATING PATIENTS WITH NOVEL CORONAVIRUS INFECTION (COVID-19) by L. A. Balykova, V. F. Pavelkina, N. V. Shmyreva, N. A. Pyataev, N. M. Selezneva, O. I. Shepeleva, R. Z. Almyasheva

“…In the main group, the time period until fever disappeared was found to be 1.36 days shorter than in the group of comparison (p<0.05); there was a higher rate of the reduction of inflammatory changes in the lungs according to the computer tomography data (38.4% vs 14.9%, p<0.05). …”
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