Distributed denial of service (DDoS) classification based on random forest model with backward elimination algorithm and grid search algorithm by Mohamed S. Sawah, Hela Elmannai, Alaa A. El-Bary, Kh. Lotfy, Osama E. Sheta

“…The DDoS-SDN dataset was used for training and evaluation, with feature selection via Backward Elimination (BE) and hyperparameter tuning using Grid Search with 5-fold Cross-Validation (CV = 5). …”
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P-TAME: Explain Any Image Classifier With Trained Perturbations by Mariano V. Ntrougkas, Vasileios Mezaris, Ioannis Patras

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Blood transfusion training for prehospital providers: a scoping review by Pierre-Marc Dion, Kanwal Singh, Jillian Coleby, Andrew Beckett, Jacinthe Lampron, Melissa McGowan, Risa Shorr, Brodie Nolan

“…All studies featured face-to-face instruction and hands-on skills training. …”
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USING THE INNOVATIVE PEDAGOGICAL TECHNOLOGIES IN METHODOLOGICAL TRAINING OF FUTURE TEACHERS by Olena M. Chaika, Maryna O. Kushnierova

“…Particular attention is paid to the characteristic features of using the innovative pedagogical technologies in the process of methodical training of future foreign literature teachers, taking into account the general laws of the educational process at higher pedagogical institutions and based on personal, activity and competence approaches. …”
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Climate Change Affects Choice and Management of Training Systems in the Grapevine by Filippo Del Zozzo, Stefano Poni

“…For the latter, we considered 12 main trellis types and scored them based on climate-related features and general traits such as vigor, yield control, susceptibility to fungal diseases, and suitability according to wine types (still or sparkling). …”
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Machine Training of the System of Functional Diagnostics of the Shaft Lifting Machine by Dovbysh A. S., Zimovets V. I., Zuban Y. A., Prikhodchenko A. S.

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A Spatiotemporal Sequence Prediction Framework Based on Mask Reconstruction: Application to Short-Duration Precipitation Radar Echoes by Zhi Yang, Changzheng Liu, Ping Mei, Lei Wang

“…During pre-training, the model learns global structural features of meteorological systems from sparse contexts by randomly masking local spatiotemporal regions of radar images. …”
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Neuronal network approach to study the operation of shuttle-service trains by A. L. Kazakov, R. Yu. Upyr, A. D. Domojirova

“…The authors study the section of the shuttle-service trains. Based on a detailed description and characterisation of the site, it is categorised as a man-machine and difficult-to-formalise system. …”
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PEDAGOGICAL ASPECTS OF PROFESSIONAL TRAINING OF FUTURE SPECIALISTS IN GRAPHIC DESIGN by Ju Dongting

“…The article is devoted to the matter of improving the psychological and pedagogical features of professional training of future graphic design specialists. …”
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Adversarial training driven malicious code detection enhancement method by Yanhua LIU, Jiaqi LI, Zhengui OU, Xiaoling GAO, Ximeng LIU, Weizhi MENG, Baoxu LIU

“…To solve the deficiency of the malicious code detector’s ability to detect adversarial input, an adversarial training driven malicious code detection enhancement method was proposed.Firstly, the applications were preprocessed by a decompiler tool to extract API call features and map them into binary feature vectors.Secondly, the Wasserstein generative adversarial network was introduced to build a benign sample library to provide a richer combination of perturbations for malicious sample evasion detectors.Then, a perturbation reduction algorithm based on logarithmic backtracking was proposed.The benign samples were added to the malicious code in the form of perturbations, and the added benign perturbations were culled dichotomously to reduce the number of perturbations with fewer queries.Finally, the adversarial malicious code samples were marked as malicious and the detector was retrained to improve its accuracy and robustness of the detector.The experimental results show that the generated malicious code adversarial samples can evade the detector well.Additionally, the adversarial training increases the target detector’s accuracy and robustness.…”
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Methodology for the organisation of professional training of senior citizens: general concept by T. M. Rezer

“…The conceptual model for the organisation of professional training of senior citizens is developed from the point of system-based approach and includes the following elements: 1) clarification of conceptual apparatus of senior adult education; 2) determination of anatomical and physiological features of senior citizens; 3) argumentation of the need of senior citizens for professional training; 4) determination of the peculiarities of professional training for senior citizens; 5) development of prerequisites list for successful learning of senior citizens; 6) formulation of learning objectives and tasks for its organisation; 7) choice of approaches for building the model of training and its principles as well as methodology for determining the quality and results of training.Practical significance. …”
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Nursing in Lebanon: historical evolution, modern challenges, and professional training by V. G. Valkova, E. N. Zolotukhina, T. N. Ishchuk, M. Saada

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Sentinel-2 Masking CNNs Trained on Physics-Supervised Labels by Efrain Padilla-Zepeda, Kevin Alonso, Raquel De Los Reyes, Deni Torres-Roman, Avi Putri Pertiwi, Tobias Storch

“…Rather than relying on manually labeled data, the proposed method selects high-quality training samples from Python-based atmospheric correction software (PACO), using pixel selection strategies to remove ambiguous or inconsistent labels. …”
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USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…Based on the meaning of the term «task», attention is paid to the method and process of solving the problem. …”
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Using Encyclopedic Texts for Training and Inference of Artificial Neural Networks by Vladimir Medeyko

“…These issues can be attributed to the quality of training datasets, model training features, and query processing. …”
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Western Diplomatic training: A Comparative Analysis of Education Models by A. P. Sokolov, I. S. Khludov, E. D. Spirin, M. A. Makarov

“…The article examines the specific features of diplomatic training in Western countries in the context of shifting foreign policy approaches. …”
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A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders by Jorge Magalhães, Tomás Jorge, Rúben Silva, António Guedes, Diogo Ribeiro, Andreia Meixedo, Araliya Mosleh, Cecília Vale, Pedro Montenegro, Alexandre Cury

“…The proposed procedure is based on a machine learning methodology and includes the following stages: (1) data collection, (2) damage-sensitive feature extraction from the acquired responses using a neural network model, i.e., the sparse autoencoder (SAE), (3) data fusion based on the Mahalanobis distance, and (4) unsupervised feature classification by implementing outlier and cluster analysis. …”
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Vocational teacher training in Russia at the present stage: Conceptual aspect by В. A. Fedorov, P. F. Kubrushko, V. V. Dubitskiy, A. V. Feoktistov

“…The paper presents the authors’ vision of this phenomena based on the ideas of humanisation, continuity, and democratisation of vocational teacher training system. …”
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Identifying the Components of Iranian Adolescent Compassionate Mind Training Program by Somayeh Mohebi, Iraj Shakerinia, Mahnaz Khosrojavid, Abbas Abolghasemi, Abbas Ali Hossein Khanzadeh:

“…Data was collected through semi-structured interviews, focusing on the essential components of compassion training for adolescents, distinguishing features of Iranian adolescents, and additional elements needed for cultural adaptation. …”
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Probabilistic Forecasting of Offshore Wind Power Based on Dual-stage Attentional LSTM and Joint Quantile Loss Function by Xiangjing SU, Haibo YU, Yang FU, Shuxin TIAN, Haiyu LI, Fuhai GENG

“…Secondly, during model training, the multi-task joint quantile loss based on task uncertainty is used to improve the final prediction results by dynamically adjusting the proportion of each loss weight. …”
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