Classification of Music Genres Based on Music Separation into Harmonic and Drum Components by Aldona ROSNER, Björn SCHULLER, Bożena KOSTEK

“…The study is performed using the ISMIS database of music files represented by vectors of parameters containing music features. The Support Vector Machine (SVM) classifier and co-training method adapted for the standard SVM are involved in genre classification. …”
Get full text

ESSENCE AND FEATURES OF CONSULTING IN MODERN EDUCATIONAL ACTIVITIES by Lyudmila М. Skripnik

“…The article considers the concepts of «consulting» and «information consulting»; it reveals the features of pedagogical counselling in modern educational activities. …”
Get full text

Enteroviral infections: modern clinical, epidemiological features by E. V. Usacheva, E. V. Ryabokon, A. M. Kamyshny, D. A. Zadiraka, T. M. Pakholchuk, О. М. Firulina

“…Aim of the study was to improve diagnostics of the enteroviral infections (EVI) in children and adults based on the epidemiological features of the definitive clinical forms in season 2016. …”
Get full text

A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

“…With the widespread adoption of wireless communication technologies in modern high-speed rail systems, the Train-to-Ground (T2G) communication system for Electric/Diesel Multiple Units (EMU/DMU) has become essential for train operation monitoring and fault diagnosis. …”
Get full text

ANALYSIS OF THE LAST CHANGES IN THE LEGISLATION AND FEATURES OF THEIR APPLICATION by A. V. Veselov, V. I. Veselov

“…The system "tax free", which contains many features in the part of VAT, has been activated in Russia. …”
Get full text

THE FEATURES OF PROCESSES OF SKILLS (SPECIAL COMPETENCIES) FORMATION by A. N. Pechnikov, A. V. Prenzov, A. A. Mashoshina

“…The methods of analysis and synthesis; fundamental principles of didactics, qualimetry, the efficiency theory and the decision-making theory were used.Results and scientific novelty. The theoretical bases of evaluation procedures of pupils’ skills created during training are stated. …”
Get full text

Diagnosis of early nitrogen, phosphorus and potassium deficiency categories in rice based on multimodal integration and knowledge distillation by Xuanying Liao, Hongyun Yang

“…Second, the teacher model was obtained through transfer learning, fine-tuning training and model fusion. The custom neural network model was heuristically customized based on the conventional model. …”
Get full text

WDFS-DETR: A Transformer-based framework with multi-scale attention for small object detection in UAV Engineering Tasks by Jinjiang Liu, Yonghua Xie

“…To address this issue, we propose WDFS-DETR (Wavelet-based Dual-stage Feature-enhanced Detection Transformer), a Transformer-based detection framework built upon RT-DETR (Real-Time Detection Transformer). …”
Get full text

Stator Insulation Partial Discharge Test and Reliability Evaluation of Traction Motor by Yuenan LIU, Min GENG, Junfeng GUI, Ruizhen CUI, Xilian WANG

Get full text

FEATURES OF PROVIDING STEADY INFRASTRUCTURE OF ENTREPRENEURSHIP ACTIVITY by Vitalii A. Vernikov

“…This article discusses the features of sustainable infrastructure of business activity. …”
Get full text

IT Parkinson’s Disease Diagnostics Based on the Freezing of Gait Analysis Using Long Short Term Memory Neural Network by U. A. Vishniakou, Xia YiWei

“…After training the model for 1000 iterations, the LSTM neural network algorithm achieved 96.3 % accuracy, 96.05 % precision, 96.5 % sensitivity, and 96.24 % average F1 score for recognizing Parkinson’s disease based on test datasets. …”
Get full text

Generalized Extraction of Bolts, Mesh, and Rock in Tunnel Point Clouds: A Critical Comparison of Geometric Feature-Based Methods Using Random Forest and Neural Networks by Luke Weidner, Gabriel Walton

Get full text

Enhanced Fault Detection in High-Speed Train Bearings Using Empirical Mode Decomposition (EMD) and Kurtosis-Based IMF Selection: A Test Bench Approach by Abtane Meryem, Dahi Khalid, Martinez Hervé, Sedki Mohamed, El Kimi Hicham, Fernandes Borges Luciano

“…The proposed methodology utilizes Empirical Mode Decomposition (EMD) to decompose vibration signals into Intrinsic Mode Functions (IMFs). A kurtosis- based selection criterion is then applied to identify the IMF that best highlights fault-related features. …”
Get full text

The impact of aging agricultural labor force on farmland abandonment and the moderating effects of agricultural technology training—a study based on data from Jiangxi Province, Chi... by Yifan Xie, Gaoyan Liu, Jinhang Fu, Haoyu Deng, Xiaojin Liu, Jie Chen

“…Moreover, the likelihood and area of land abandonment are greater for farmers with a high farm-pluriactivity degree than for those with a low farm-pluriactivity degree, and the likelihood and area of land abandonment are greater for farmers with large-scale lands than for those with small-scale lands.DiscussionTherefore, this paper proposes incorporating agricultural technology training into the core policy toolbox of the rural revitalization strategy, cultivating new types of agricultural entities, and establishing a long-term training mechanism featuring “government leadership, support from scientific research institutions, and participation from cooperatives” to fundamentally address the challenges of “who will farm the land” and “how to farm the land well.”…”
Get full text

Prediction of intradialytic hypotension based on heart rate variability and skin sympathetic nerve activity using LASSO-enabled feature selection: a two-center study by Yike Zhang, Shuang Su, Zhenye Chen, Yaoyu Huang, Yujun Qian, Chang Cui, Yantao Xing, Ningning Wang, Hongwu Chen, Huijuan Mao, Jing Wang

“…The AUC was 0.920 (95% CI, 0.878-0.962) in the training cohort and 0.855 (95% CI, 0.763-0.947) in the validation cohort, indicating concordance between the nomogram prediction and actual observation of IDH.Conclusion The LASSO-enabled model, based on clinical characteristics and autonomic nervous system parameters from the first 30 min of HD, shows promise in accurately predicting IDH.…”
Get full text

Research on a Multi-Dimensional Information Fusion Mechanical Wear Fault-Diagnosis Algorithm Based on Data Regeneration by Qifan Zhou, Bosong Chai, Kunwen Ran, Yingqing Guo, Shan Zhou, Wangyu Wu, Kun Wang, Yao Ni

“…In this paper, we adopt the combination of the diffusion model and TTT (test-time training), based on the sample distribution of feature data under the laboratory conditions, and we use the pre-trained decoder to decode the data into a continuous potential representation of natural language for sampling, to achieve data regeneration. …”
Get full text

Robust Data-Driven State of Health Estimation of Lithium-Ion Batteries Based on Reconstructed Signals by Byron Alejandro Acuña Acurio, Diana Estefanía Chérrez Barragán, Juan Carlos Rodríguez, Felipe Grijalva, Luiz Carlos Pereira da Silva

Get full text

Regression-based leaf nitrogen concentration estimation of young Cephalotaxus hainanensis in small and imbalanced samples by Mengmeng Shi, Tian Wang, Ling Lin, Qingxue Li, Zhulin Chen, Xingjing Chen, Peng Wang, Xuefeng Wang

“…Logarithmic transformation enhanced the correlation between LNC and image-derived features. The ADASYNR-SVR model also significantly improved predictive performance compared to other models in rare cases, with the highest F1-score, recall, and precision in both the training set and test set. …”
Get full text

Research on Fault Injection Method of Train MVB Bus by Hui SONG, Lide WANG, Zhaozhao LI, Xiaomin DU

Get full text

Intelligent text analysis for effective evaluation of english Language teaching based on deep learning by Yuan Ren, Wenjuan Fan, Jinhai Wang

“…This study introduces a Hybrid Feature-based Cross-Prompt Automated Essay Scoring (HFC-AES) model that leverages deep learning for intelligent text analysis. …”
Get full text