THEORETICAL ANALYSIS OF THE –ESSENCE OF PROFESSIONAL TRAINING OF FUTURE SPECIALISTS IN ANIMATION DESIGN by Dai Zhen

“…Understanding animation design as a new type of design and artistic activity poses new challenges for teachers of educational institutions and encourages them to find more effective ways of training. Today, China’s educational arts processes are aimed at updating and modernizing the teaching of design by combining innovative technologies from other countries that meet modern international requirements for professional training with national educational traditions and are regulated by a number of regulatory documents. …”
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XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion by Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

“…Finally, the best model was integrated into a web-based system for practical use by tomato cultivators. • XSE-TomatoNet is an enhanced version of EfficientNetB0 which incorporates Squeeze-and-Excitation (SE) blocks and multi-scale feature fusion. • XSE-TomatoNet outperformed MobileNet (87.44%) and VGG-19 (95.50%), in terms of accuracy, achieving 99.41%. • Integration of interpretation using LIME and SHAP models gives higher level understanding of the diseases and employment of Grad-CAM and Grad-CAM++ shows visual representation of the diseased leaves.…”
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An Accurate Deep Key-Point Prediction Model With Low-Level Texture Refinement and High-Level Semantic Enhancement for Bolt Vertex Detection in Industrial Machine Systems by Jiaqi Liu, Yingbo Wang, Mingyue Lang, Fengyuan Zuo

“…In addition, we introduced a masked-based unsupervised pre-training paradigm based on convolutional structure to enhance the feature representation ability of the above model. …”
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Deep convolutional neural network (DCNN)-based model for pneumonia detection using chest x-ray images by S. I. Ele, U. R. Alo, H. F. Nweke, A. H. Okemiri, E. O. Uche-Nwachi

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Research on multi class pests identification and detection based on fusion attention mechanism with Mask-RCNN-CBAM by Xingwang Wang, Xingwang Wang, Xingwang Wang, Can Hu, Xufeng Wang, Hainie Zha, Xueyong Chen, Shanshan Yuan, Jing Zhang, Jianfeng Liao, Zhangying Ye

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Innovating Cybersecurity in Tanzanian Academia: A Mobile Tool for Combatting Social Engineering Threats by Lucas Hosea Mjema, Bonny Said Mgawe, Mussa Ally Dida

“…Our findings demonstrate that a mobile-based, user-centric approach can significantly bolster cybersecurity awareness and incident response in academic environments. …”
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Implementation of trauma and disaster mental health awareness training in Puerto Rico by Rosaura Orengo-Aguayo, Regan W. Stewart, Tania del Mar Rodríguez-Sanfiorenzo, Karen G. Martínez-González

“…The US Surgeon General featured our program as a promising model to help disaster-affected youth.…”
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Advancing Public Health in Rwanda through the Field Epidemiology Training Program by Mutabazi Vincent, Sinayobye Jean d’Amour

“…We are pleased to present the latest edition of the Journal of Interventional Epidemiology and Public Health (JIEPH) special supplement featuring articles from the Rwanda Field Epidemiology Training Program (R-FETP). …”
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Test-Time Training with Adaptive Memory for Traffic Accident Severity Prediction by Duo Peng, Weiqi Yan

“…While distribution shift is a common challenge in machine learning, Transformer-based models—despite their ability to capture long-term dependencies—often lack mechanisms for dynamic adaptation during inferencing. …”
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Research on Design of Intelligent Background Differential Model for Training Target Monitoring by Ya Liu, Fusheng Jiang, Yuhui Wang, Lu OuYang, Bo Gao, Jinling Jiang, Bo Zhang

“…Aiming at the problem of high failure rate in the detection of sports targets under complex backgrounds, this paper proposes a research on the design of an intelligent background differential model for training target monitoring. This paper proposes a background difference method based on RGB colour separation. …”
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The effects of fitness training on physical preparedness of highly qualified football players by Gennadii Lisenchuk, Irene Khmelnitska, Konstantin Bogatyrev, Borys Kokarev, Svitlana Kokareva, Viktor Derkach, Igor Martsinkovsky, Svitlana Krupenya, Miroslava Cieślicka

“…The main feature of this program was the use of innovative methods of modern fitness training: TRX/TRX-Rip, MAX®, Tabata, High-Intensity Interval Training (HIIT), Strenflex, 6D Sliding, myo-fascial release, in addition to the classic methods of exercises. …”
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The implementation of the situational control concept of information security in automated training systems by A. M. Chernih, S. V. Fedoseev

“…Developed method of situational control of information security in automated learning systems, involves the participation of the operator in the development and decision-making (dialogue procedures statement of objectives situational control, the formation of the base of alternative sets of control actions, etc.).Another important feature of this technique is the necessity of using previously developed models (models of decision-making situation, a model of coordination and planning of operation of a subsystem of the control and protection of information, models of information processing about the status of the subsystem analysis models and evaluation of results) and the database obtained on the basis of operating experience of information protection systems in the automated learning systems.The implementation of the concept of situational control of information security ensures the timely adaptation of the algorithms and parameters of the information security system to changes in the external environment and the nature of tasks within the education systems and on this basis allows to improve the characteristics of the information protection system in the automated learning systems.…”
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Machine Learning-Based Detection of Icebergs in Sea Ice and Open Water Using SAR Imagery by Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor

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Perceptions of TPACK in genre-based pedagogy: the role of socio-demographics and ICT competence among pre-service Indonesian language teachers by   Sultan, Muhammad Rapi, Suardi, Asri Ismail

“…The findings concluded that, information and communication technology competence shape pre-service Indonesian language teachers’ perceptions of TPACK in genre-based pedagogy. The results underscore the need for teacher training institution curricula and learning designs to consider the social and individual characteristics of the students.…”
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Gender classification performance optimization based on facial images using LBG-VQ and MB-LBP by Faruq Abdul Hakim, Tio Dharmawan, Muhamad Arief Hidayat

“…In the computer vision and machine learning field, especially for gender classification based on facial images, feature extraction is one of the inseparable parts. …”
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FRANet: A Feature Refinement Attention Network for SAR Image Denoising by Shuaiqi Liu, Yu Lei, Qi Hu, Ming Liu, Bing Li, Weiming Hu, Yu-Dong Zhang

“…In FRANet, a feature refinement network is first used to refine the input noise image to extract more useful features while accelerating network training. …”
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Discriminative Features Extraction for Plant Disease Classification Using Deep CNN by Hira Farman, usman Amjad

“…To improve the model performance further techniques like data augmentation, contrast enhancement, noise reduction techniques were used. The training results of the proposed CNN had a training loss of 0.0808 and a validation loss of 0.3330.The training as well as the validation accuracy achieved were 97.41% as well as 90.34% respectively. …”
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Development of a nomogram-based model incorporating radiomic features from follow-up longitudinal lung CT images to distinguish invasive adenocarcinoma from benign lesions: a retro... by Zhengming Wang, Fei Wang, Yan Yang, Weijie Fan, Li Wen, Dong Zhang

“…Logistic regression was used to build models based on clinicoradiological (CR), T0, T1, and delta radiomic features and compute signatures. …”
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Features of road safety project implementation until 2024 in Omsk region by E. A. Safronov, K. E. Safronov

“…Research is carried out at the Organization and Traffic Safety Department and is introduced into the educational process and implemented at the Federal Training Center for advanced training of workers involved in the training of drivers, created in SibADI.Discussion and conclusion. …”
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Development of an XGBoost-based prediction model for wound recurrence risk in diabetic foot ulcer patients treated with antibiotic-loaded bone cement by Yi Zhang, Yi Zhang, Xingyu Sun, Cheng Cheng, Nianzong Hou, Nianzong Hou, Shiliang Han, Xin Tang

“…Based on feature correlation, feature importance, and feature weight, LASSO analysis, random forest, and the Pearson correlation coefficient approach were used to identify the features. …”
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