A Multi-Granularity Features Representation and Dimensionality Reduction Network for Website Fingerprinting by Yaojun Ding, Bingxuan Hu

“…In recent years, deep learning-based WF has become a research focus in this field. …”
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Stacked Ensemble Learning for Classification of Parkinson’s Disease Using Telemonitoring Vocal Features by Bolaji A. Omodunbi, David B. Olawade, Omosigho F. Awe, Afeez A. Soladoye, Nicholas Aderinto, Saak V. Ovsepian, Stergios Boussios

“…The synthetic minority oversampling technique (SMOTE) was applied exclusively to the training set to address class imbalance. Feature selection techniques—forward search, gain ratio, and Kruskal–Wallis test—were employed using subject-wise cross-validation to identify significant attributes. …”
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A New Proposed Hybrid Learning Approach with Features for Extraction of Image Classification by Mohanad Azeez Joodi, Muna Hadi Saleh, Dheyaa Jasim Kadhim

“…The cornerstone of image classification is evaluating the convolutional features retrieved from deep learning models and training them with machine learning classifiers. …”
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Genre Features of the Educational Media Discourse in the Context of Information Ecology and Cyber Security by Olga V. Sergeeva, Marina R. Zheltukhina, Elena B. Ponomarenko

“…The identified genre features of the educational media discourse in the context of information ecology and cyber security clearly demonstrate that the informational ecology is a promising direction for the study and development of the media discourse, incl. educational media discourse, based on the material of various linguistic cultures.…”
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Token Mixing for Breast Cancer Diagnosis: Pre-Trained MLP-Mixer Models on Mammograms by Hosameldin O. A. Ahmed, Asoke K. Nandi

“…This study introduces and evaluates the effectiveness of pre-trained MLP-Mixer models using transfer learning as an alternative to CNN-based approaches, utilising their token-mixing and channel-mixing mechanisms to integrate local and global spatial features in mammograms. …”
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Features of Distance Learning in Higher Education Institutions in The Context of The Covid-19 Pandemic by Oksana N. Goncharova, Milera Yu. Halilova

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Neural Correlates of Changes in a Visual Search Task due to Cognitive Training in Seniors by Nele Wild-Wall, Michael Falkenstein, Patrick D. Gajewski

“…Participants were randomly assigned to a social control, a no-contact control and a training group, receiving a 4-month paper-pencil and PC-based trainer guided cognitive intervention. …”
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Breast Cancer Image Classification Using Phase Features and Deep Ensemble Models by Edgar Omar Molina Molina, Victor H. Diaz-Ramirez

“…This work presents a hybrid feature extraction approach for breast cancer detection that employs variants of EfficientNetV2 network and convenient image representation based on phase features. …”
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SOME FEATURES OF TEACHING OF STOMATOLOGY TO FOREIGN STUDENTS IN DONETSK NATIONAL MEDICAL UNIVERSITY by А.V. Mahniova

“…A lecture course remains the leading link of educational process in the university. A lecture install bases of scientific knowledge, makes a theoretical base for the studied discipline, acquaints students with methodology of researches, serves as a point and work of students assignment specifies on all of other types of educational process. …”
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Application of Optimization Parameters VMD and MED in Fault Diagnosis of Train Gearbox Rolling Bearings by Changqing LI, Jianhui LIN, Yongxu HU

“…Aiming at the problem of feature extraction of train gearbox rolling bearing’s incipient fault in the case of strong noise, a method of fault diagnosis based on minimum entropy deconvolution (MED) and parameter optimized variational mode decomposition (VMD) was proposed. …”
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Lessons Learned from the LBS2ITS Project—An Interdisciplinary Approach for Curricula Development in Geomatics Education by Günther Retscher, Jelena Gabela, Vassilis Gikas

“…These include Problem-Based Learning (PBL) and Problem-Based e-Learning (PBeL), both of which encourage active student engagement and foster critical thinking by having students tackle real-world problems. …”
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Development and Training Strategy of Badminton Action Recognition System Under the Background of Artificial Intelligence by Hongjun Ma, Fan Zhang, Ni Liang

“…To improve the intelligence level of badminton training and match analysis, this study discusses a badminton action recognition system based on deep learning. …”
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Multitask Change-Aware Network and Semisupervised Enhanced Multistep Training for Semantic Change Detection by Yifei Si, Jie Jiang

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StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification by Muhammad Attique Khan, Muhammad Shahzad Sarfraz, Majed Alhaisoni, Abdulaziz A. Albesher, Shuihua Wang, Imran Ashraf

“…These algorithms are implemented in parallel to obtain optimal feature vectors. Following this, a maximum correlation-based fusion approach is applied to fuse optimal vectors from the previous step to obtain an enhanced vector. …”
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Train your robot in AR: insights and challenges for humans and robots in continual teaching and learning by Anna Belardinelli, Chao Wang, Daniel Tanneberg, Stephan Hasler, Michael Gienger

“…Here, we present a robotic system capable of continual learning from interaction, generalizing learned skills, and planning task execution based on the received training. We were interested in how interacting with such a system would impact the user experience and understanding. …”
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Beyond Handcrafted Features: A Deep Learning Framework for Optical Flow and SLAM by Kamran Kazi, Arbab Nighat Kalhoro, Farida Memon, Azam Rafique Memon, Muddesar Iqbal

“…This work proposes a method that leverages the power of CNNs by extracting features from an intermediate layer of a pre-trained model for optical flow estimation. …”
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Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review by Kholoud Elnaggar, Mostafa M. El-Gayar, Mohammed Elmogy

“…Advancements in feature extraction methods for automated depression diagnosis are highlighted as avenues for improving ML and DL model performance. …”
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QUALITY OF PRE-SERVICE TEACHERS’ TRAINING FOR RESEARCH WORK IN THE FIELD OF UNIVERSITY LECTURERS EVALUATION by T. A. Strokova, L. M. Volosnikova

“…The pointed and selected criteria for evaluation of quality of training to research work are base for development of criteria-estimated tools of level of formation of educational-research skills. …”
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Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving by Wenli Dong, Weining Fang, Hanzhao Qiu, Haifeng Bao

“…Objective: This study aims to design an effective SA measurement paradigm specific to high-speed train driving, investigate more accurate physiological signal-based SA labeling methods, and explore the relationships between SA levels and key physiological metrics based on the developed framework. …”
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INTRODUCTION TOTHE RUSSIAN MUSIC CULTURE AS A WAY OF CHINESE MUSIC TEACHERS TRAINING by N. G. Таgiltseva, Wang Bodong

“…B. Kabalevsky based on perception and reflection about music, expanding ideas of the range of bag, opportunities of interpretation of a piece of music, specifics of individual equipment and its esthetic features of each musician. …”
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