Optimizing wind energy conversion system efficiency using advanced modified super-twisting direct power control: Real-time implementation on dSPACE 1104 board by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Youness El Mourabit, Nicu Bizon, Ilhami Colak, Badre Bossoufi, Ayman Alhejji

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RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…Experimental results demonstrate that RDM-YOLO achieves 99% mAP@0.5 accuracy and 150 FPS inference speed on the datasets, significantly outperforming baseline YOLOv5s while reducing the model parameters by 24%. Specifically designed for deployment on resource-constrained devices, the model ensures real-time monitoring capabilities in practical sericulture environments.…”
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Comparison of a Novel Machine Learning–Based Clinical Query Platform With Traditional Guideline Searches for Hospital Emergencies: Prospective Pilot Study of User Experience and Ti... by Hamza Ejaz, Hon Lung Keith Tsui, Mehul Patel, Luis Rafael Ulloa Paredes, Ellen Knights, Shah Bakht Aftab, Christian Peter Subbe

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YConvFormer: A Lightweight and Robust Transformer for Gearbox Fault Diagnosis with Time–Frequency Fusion by Yihang Peng, Jianjie Zhang, Songpeng Liu, Mingyang Zhang, Yichen Guo

“…A novel, lightweight, and robust diagnostic network, YConvFormer, is proposed. Firstly, a time–frequency joint input channel is introduced, which integrates time-domain waveforms and frequency-domain spectrums at the input layer. …”
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Research on an efficient prediction for deformations of thread connections based on deep transfer learning by Zhao Liu, Zeyu Qi, Hao Lu, Yan Liu, Jintao Fan, Xuefeng Wang, Caishan Liu

“…For complex loading conditions, the proposed model requires only 0.14% of the computation time compared to the FEM (4.2 s vs. 3000 s). …”
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Monte Carlo Modeling of a High‐Efficiency Tandem Luminescent Solar Concentrator Containing a Polarization Volume Grating Layer by Ramin Zohrabi, Sahar Ehsani‐Tabar, Amir Hosein Esmaeili, Shadi Daghighazar, Kiyanoush Goudarzi

“…This article develops a Monte Carlo model to optimize a newly introduced tandem luminescent solar concentrator. …”
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A fast physics-based perturbation generator of machine learning weather model for efficient ensemble forecasts of tropical cyclone track by Jingchen Pu, Mu Mu, Jie Feng, Xiaohui Zhong, Hao Li

“…Notably, we conduct TC track forecasts with 2000 members for the first time, achieving further enhanced forecast skills in probability distribution and extreme scenarios of TC movement.…”
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THE JUSTIFICATION OF THE EFFICIENCY OF FINANCIAL SUPPORT OF EDUCATION IN THE CONTEXT OF THE NATIONAL ECONOMY DEVELOPMENT by A. Vorontsova, T. A. Vasylieva, T. Mayboroda

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Improving the Efficiency of Planning by E. L. Chazov, V. P. Grakhov, V. V. Krivorotov, O. L. Simchenko

“…In order to increase the economic efficiency of the geological and technical activities it is proposed to implement an automated model at the stage of planning. …”
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Application of the SWAT Model in Monthly Runoff Simulation of the Merg River in the Mahidasht Plain, Kermanshah Province. by Shahram Gorgani, Maryam Hafezparast Mavaddat, Saadi Fathi

“…The Soil and Water Assessment Tool (SWAT) is a continuous-time, semi-distributed model with GIS connectivity. …”
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MODELS AND APPLIED INFORMATION TECHNOLOGY FOR SUPPLY LOGISTICS IN THE CONTEXT OF DEMAND SWINGS by Viktor Kosenko, Viktors Gopejenko, Elena Persiyanova

“…The following results were obtained: the generalized pattern of supply logistics was developed; the supplement of the first block of this pattern with the processes of marketing research of demand for products and planning supply volumes according to the forecasted demand and the probability of a shortage or surplus of products due to unforeseen swings in demand was substantiated; the application of the methods of regression analysis and forecasting of time series to assess the market factors of supply logistics was considered; the model for determining the optimal stock size was studied taking into account storage costs and probable shortages; the architecture of the applied information technology for planning supply logistics was developed; the proposed IT enables analyzing and predicting changes in the main market factors and, in accordance with the results obtained, solving inventory management tasks efficiently. …”
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Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

“…Therefore, the proposed model serves as a reliable, efficient, and real-time prediction tool, providing robust support for port operational safety.…”
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AppleLeafNet: a lightweight and efficient deep learning framework for diagnosing apple leaf diseases by Muhammad Umair Ali, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar, Seong-Han Kim

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ON THE TECHNIQUE OF MODELING ONTOGENETIC CHANGES IN FISH AND INSECTS LIFECYCLE by A. Yu. Perevaryukha

“…The method has been for submission to decline of generations on the basis of dynamic overriding differential equations with discrete-continuous structure of time. To extend the previously proposed model for the formation of generations is formed computing structure for the account mortality depending on the level of competition, complete with trigger functional and a new scheme describing the changes the growth rate for the example of the Caspian Sea sturgeon in three ecological and physiological stages of development. …”
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Narrow Artificial Intelligence with Machine Learning for Real-Time Estimation of a Mobile Agent’s Location Using Hidden Markov Models by Cédric Beaulac, Fabrice Larribe

“…This narrow artificial intelligence performs two distinct tasks. First, it provides real-time estimation of the mobile agent’s position using the forward algorithm. …”
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Research on Support Vector Regression Short-Time Traffic Flow Prediction Model for Secondary Roads Based on Associated Road Analysis by Ganglong Duan, Yutong Du, Yanying Shang, Hongquan Xue, Ruochen Zhang

“…Short-time traffic flow exhibits uncertainty and randomness, and this paper proposes an SVR model for short-time traffic flow prediction on non-main and branch roads, using correlations between associated roads to improve accuracy. …”
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Adopting SBM-Max and Super SBM-Max to Evaluate the Efficiency of Freight Transportation Arrangement Providers: A Study in Vietnam by Nguyen Thi Kim Lien, Luyen Le Anh

“…The empirical results determined the inefficiency term, efficiency term, and rank for each provider every time. …”
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A Hybrid Deep Learning-ViT Model and A Meta-Heuristic Feature Selection Algorithm for Efficient Remote Sensing Image Classification by Bilal Ahmed, Syed Rameez Naqvi, Tallha Akram, Lu Peng, Fahdah Almarshad

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Tropical Rice Mapping Using Time-Series SAR Images and ESF-Seg Model in Hainan, China, from 2019 to 2023 by Yazhe Xie, Lu Xu, Hong Zhang, Mingyang Song, Ji Ge, Fan Wu

“…To address this difficulty, a new deep learning model, ESF-Seg, is proposed in this study to extract the annual tropical rice distribution using monthly averaged time-series Sentinel-1 VH data. …”
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Construction and application of a TCN-LSTM-SVM-based time series prediction model for water inflow in coal seam roofs by Xuan LIU, Yadong JI, Kaipeng ZHU, Chunhu ZHAO, Kai LI, Chaofeng LI, Chenhan YUAN, Panpan LI, Pengzhen YAN

“…First, by raw data processing using the TCN framework, this model extracted the dependency between mining footage and water inflow and its dynamic characteristics. …”
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