Influence of rhythm features on beat/movement synchronization using a low-cost vision system by Hamza Bayd, Patrice Guyot, Benoît Bardy, Pierre Slangen

Get full text

THE MOBILE SPACE AND MOBILE TARGETING ENVIRONMENT FOR INTERNET USERS: FEATURES OF MODEL SUBMISSION AND USING IN EDUCATION by V. Bykov

Get full text

Features of legal regulation of patriotic education of students: regulatory and legal aspects of the «Russia in the World» program by A. A. Aslaeva

“…This course is uniquely structured to provide a comprehensive understanding of various aspects of life in Russia and to present them in a modern context, which is not offered by any other training program at the moment. Based on the results of the study, a review of scientific and practical information on the formation of the regulatory framework, which is the basis for the preparation of the educational program «Russia in the World» and defines the ideological basis, goals, objectives, structure, learning outcomes formulated in the program. …”
Get full text

Weighted K-NN Classification Method of Bearings Fault Diagnosis With Multi-Dimensional Sensitive Features by Qingfeng Wang, Shuai Wang, Bingkun Wei, Wenwu Chen, Yufei Zhang

“…In this paper, we propose a weighted k-nearest neighbor (WKNN) fault diagnosis model based on multi-dimensional sensitive features, and propose a fault diagnosis method for rolling bearings that adapts to different equipment and different operating conditions. …”
Get full text

Manual Acupuncture Manipulation Recognition Method via Interactive Fusion of Spatial Multiscale Motion Features by Jiyu He, Chong Su, Jie Chen, Jinniu Li, Jingwen Yang, Cunzhi Liu

“…First, this paper presents an optical flow-based hand motion contour global feature extraction method for acupuncture hand shape. …”
Get full text

Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI by Rui Zhang, Ruikai Hong, Qiannan Li, Xu He, Age Shama, Jichao Lv, Renzhe Wu

Get full text

Lateralised memory networks may explain the use of higher-order visual features in navigating insects. by Giulio Filippi, James Knight, Andrew Philippides, Paul Graham

“…Whilst we understand the basic visual pathway to the memory centres (Optic Lobes to Mushroom Bodies) involved in the storage of visual information, it is still largely unknown what type of representation of visual scenes underpins view-based navigation in ants. Several experimental studies have suggested ants use "higher-order" visual information - that is features extracted across the whole extent of a visual scene - which raises the question as to how these features might be computed. …”
Get full text

Machine-Learning Classification of Port Wine Stain With Quantitative Features of Optical Coherence Tomography Image by Shengnan Ai, Chengming Wang, Wenxin Zhang, Wenchao Liao, Juicheng Hsieh, Zhenyu Chen, Bin He, Xiao Zhang, Ning Zhang, Ying Gu, Ping Xue

“…We use both full feature set and simplified feature set for training. …”
Get full text

Semi-Supervised Underwater Image Enhancement Method Using Multimodal Features and Dynamic Quality Repository by Mu Ding, Gen Li, Yu Hu, Hangfei Liu, Qingsong Hu, Xiaohua Huang

“…In this study, we proposed a semi-supervised underwater image enhancement method, MCR-UIE, which utilized multimodal contrastive learning and a dynamic quality reliability repository to leverage the unlabeled data during training. This approach used multimodal feature contrast regularization to prevent the overfitting of incorrect labels, and secondly, introduced a dynamic quality reliability repository to update the output as pseudo ground truth. …”
Get full text

Effectiveness of zoom-based online sessions in developing research skills among geographically distant participants: a cross-sectional study by Masood Jawaid, Zainab Aqeel Khan, Zubia Masood, Rehan Ahmed Khan

Get full text

Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models by Vasundhara Acharya, Bülent Yener, Gillian Beamer

“…We also examined the differences in feature importance between student models trained with the teacher’s logits and their counterparts trained on hard labels. …”
Get full text

Automatic Speech Recognition Training Software for Joint Terminal Attack Controller Close Air Support Requests by Logan Gisick, Henry Phillips, Charles Newton

“…However, these technologies have yet to become a feature of most training systems. Using SoarTech’s SpeechZero ASR software, an individual speaks their 9-line request into a tablet or smartphone which will parse the speech and use AI algorithms to categorize it within the 9-line framework. …”
Get full text

Classification of chest radiographs into healthy/pneumonia using Harris-Hawks Algorithm optimized deep-features by K. Vijayakumar, Mohammad Nazmul Hasan Maziz, Swaetha Ramadasan, Seifedine Kadry, S. Arunmozhi

“…Along with the traditional deep-features based classification using the SoftMax, this work also considered Harris-Hawks Algorithm (HHA) algorithm based features optimization and serial features integration to generate fused-features vector (FFV). …”
Get full text

Optimized classification of dental implants using convolutional neural networks and pre-trained models with preprocessed data by Reza Ahmadi Lashaki, Zahra Raeisi, Nasim Razavi, Mehdi Goodarzi, Hossein Najafzadeh

“…Classifiers including Convolutional Neural Networks (CNN), Convolutional Support Vector Machine (CSVM), Convolutional Decision Tree (CDT), and Convolutional Random Forest (CRF) were employed. Pre-trained models such as VGG16, ResNet50, and Xception enhanced feature extraction. …”
Get full text

Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features by Ádám Zsuga, Adrienn Dineva

“…Existing diagnostic approaches, including motor current signature analysis (MCSA) and wavelet-based methods, are primarily designed for steady-state conditions and rely on manual feature selection, limiting their applicability in real-time embedded systems. …”
Get full text

A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space by Zheng Luo, Jiahao Mai, Caihong Feng, Deyao Kong, Jingyu Liu, Yunhong Ding, Bo Qi, Zhanbo Zhu

“…Effective predictive methods assist learners in targeted studying based on forecast results, while effective analytical methods help educators design appropriate educational content. …”
Get full text

A comprehensive investigation of morphological features responsible for cerebral aneurysm rupture using machine learning by Mostafa Zakeri, Amirhossein Atef, Mohammad Aziznia, Azadeh Jafari

“…The dataset comprised 3 clinical features and 35 morphological parameters, including 8 novel morphological features introduced for the first time in this study. …”
Get full text

THE EFFICIENCY IMPROVING OF PILOTS AND CADETS TRAINING TO SAFETY CONTROL USING THE MODIFICATIONS OF CLASSICAL METHOD OF "ROY" (PSO) by V. V. Yurasov, L. A. Yurasova

“…The article explains the use of modifications the classical method PSO to optimize the training pilots task on aircraft simulators. Model is based on the identification of the specific guarantee of safety in the task of training pilots of the features of simulation with the use of modern optimization models for long-term quantitative forecast of random processes. …”
Get full text

Improving speaker-independent visual language identification using deep neural networks with training batch augmentation by Jacob L. Newman

“…The main challenge associated with VLID is the speaker-dependency of image based visual recognition features, which bear little meaningful correspondence between speakers.In this work, we examine a novel VLID task using video of 53 individuals reciting the Universal Declaration of Human Rights in their native languages of Arabic, English or Mandarin. …”
Get full text

Regional trends in the implementation of artificial intelligence in the system of teacher training in distance learning during martial law by Nataliia Osypova, Olena Kokhanovska, Iryna Zhorova

“…The study's originality lies in identifying specific regional features of the use of AI in the educational process in emergency conditions and developing targeted in-service training programmes adapted to the challenges of wartime. …”
Get full text