Architectural insights into and training methodology optimization of Pangu-Weather by D. To, J. Quinting, G. A. Hoshyaripour, M. Götz, M. Götz, A. Streit, C. Debus

“…Here, we reproduce the 24 h forecast model of PGW based on subsampled 6-hourly data. We then present an ablation study of PGW to better understand the sensitivity to the model architecture and training procedure. …”
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Comparative Deep Learning–Based Facial Image Analysis for Early Autism Prediction in School-Aged Children by Sarah Sabeeh

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Property Graph Framework for Geographical Routes in Sports Training by Alen Rajšp, Iztok Fister

“…These property graphs serve as foundational datasets for generating smart sports training routes, where route features such as terrain, bends, and hills critically influence the route design. …”
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Innovative engineering training in a competitive educational environment by N. I. Naumkin, N. N. Shekshaeva, E. V. Zabrodina

“…This raises the dilemma of creating a new competitive educational environment based on the use of competitiveness.The aim of the present research is to increase the efficiency of university students' training for innovative engineering activities due to high motivation to master it through the use of competitiveness.Methodology and research methods. …”
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The Use of Speech Technology in Foreign Language Pronunciation Training by Grażyna DEMENKO, Agnieszka WAGNER, Natalia CYLWIK

“…Most of the commercial self-study programs, however, do not allow for introduction of an individualized learning course by the teacher and to concentrate on segmental features only. The paper discusses the use of speech technology in the training of foreign languages' pronunciation and prosody and defines pedagogical requirements for an effective training with CAPT systems. …”
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Experimental determination of longitudinal forces in front of braking train by V. I. Matvetsov

“…Methods and experimental results are provided for determination of additional axial forces acting in the track at the spike fastening and the individual intermediate fastening in front of braking train at the experimental sections of the continuously welded rail track in severe climatic conditions of the West-Siberian railway, where the annual fluctuations of therail temperature amount to 110°C.The following conclusions are made based on the analysis of the experiment results and experience of operation of the continuously welded rail strings: • no additional axial forces in front of braking train were detected in the continuously welded rail strings of the thermalstressed type without any release of thermal stresses on the independent fixation; • experiment confirmed possibility of installation and normal operation of continuously welded rail track on the entire network of railways of the Ministry of Transportation of the USSR; • recent wide introduction of trains of 7,100 t, combined trains of 12,600 and 14,200 tons require special attention to parameters of interaction of track and trains.…”
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Flexible programs for remote advanced training of design engineers by A. P. Isaev, L. V. Plotnikov

“…The example relates to the program of advanced training for young engineers. The features of educational work that are realized in the form of an individual trajectory of mastering professional competencies that appear due to a flexible training program are highlighted. …”
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Dual form of training as a problem of pedagogical research by Svetlana O. Fominykh

“…Materials and methods. The study is based on various methods of analysis, including content analysis and traditional methods, which made it possible to consider the features of the dual form of education and identify its dependence on effective partnerships between employers and educational institutions. …”
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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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Machine Learning Approaches for Real-Time Mineral Classification and Educational Applications by Paraskevas Tsangaratos, Ioanna Ilia, Nikolaos Spanoudakis, Georgios Karageorgiou, Maria Perraki

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An Ensemble Hybrid Framework: A Comparative Analysis of Metaheuristic Algorithms for Ensemble Hybrid CNN Features for Plants Disease Classification by Khaoula Taji, Ali Sohail, Tariq Shahzad, Bilal Shoaib Khan, Muhammad Adnan Khan, Khmaies Ouahada

“…In this research work we have proposed a hybrid framework based on the hybrid preprocessing algorithm, an ensemble features engineering phase based on the texture features and two types of deep features extraction. …”
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TFDGiniXML: A Novel Explainable Machine Learning Framework for Early Detection of Cardiac Abnormalities Based on Nonlinear Time-Frequency Distribution Gini Index Features by Mohamed Aashiq, Shaiful Jahari Hashim, Fakhrul Zaman Rokhani, Marsyita Hanafi, Ahmed Faeq Hussein

“…Features are computed from one-minute windows, covering 30 minutes of ECG recordings. …”
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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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PDCNN: FRAMEWORK for Potato Diseases Classification Based on Feed Foreword Neural Network by Israa Mohammed Hassoon, Samar Amil Qassir, Musaab Riyadh

“…The second level is features extraction which extracts features from the infected area based on hybrid features: grey level run length matrix and 1st order histogram based features. …”
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Feature Extraction of Plant Leaf Using Deep Learning by Muhammad Umair Ahmad, Sidra Ashiq, Gran Badshah, Ali Haider Khan, Muzammil Hussain

“…Classification of plants based on leaf features is a critical job as feature extraction (includes shape, margin, and texture) from binary images of leaves may result in duplicate identification. …”
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Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images by Zhibao Wang, Ying Yuan, Man Zhao, Dan Zhou, Lu Bai, Jinhua Tao, Anna Jurek-Loughrey

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Feature engineering through two-level genetic algorithm by Aditi Gulati, Armin Felahatpisheh, Camilo E. Valderrama

“…To address these issues, this study proposed a hierarchical two-level feature engineering approach. In the first level, relevant features were identified using multiple bootstrapped training sets. …”
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MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures by Wenhua Liang, Hong Yu, Lisha Duan, Xiaona Li, Ming Wang, Bing Wang, Jianling Cui

“…The performance of this model was further improved when combined with clinical and MRI features to form the DLR nomogram (DLRN), achieving AUC values of 0.981 (95% CI: 0.964-0.998) in the training dataset and 0.871 (95% CI: 0.786-0.957) in the testing dataset.ConclusionOur study integrates handcrafted radiomics, 2.5D deep learning features, and clinical data into a nomogram (DLRN). …”
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Using Explainable AI to Measure Feature Contribution to Uncertainty by Katherine Elizabeth Brown, Douglas A. Talbert

“…This work focuses on applying existing XAI techniques to deep neural networks to understand how features contribute to epistemic uncertainty. Epistemic uncertainty is a measure of confidence in a prediction given the training data distribution upon which the neural network was trained. …”
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Spectral Feature Extraction Using Partial and General Method by Bin Jiang, Xi Fang, Yang Liu, Xingzhu Wang, Jie Liu

“…The two feature vectors and raw data are input into three neural networks, respectively, for training and each network votes for a predicted category of spectra. …”
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