AIMC Topic: Models, Theoretical

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Network traffic prediction based on transformer and temporal convolutional network.

PloS one Apr 23, 2025
This paper proposes a hybrid model combining Transformer and Temporal Convolutional Network (TCN). This model addresses the shortcomings of current approaches in capturing long-term and short-term dependencies in network traffic prediction tasks. The...
Models, Theoretical Neural Networks, Computer Algorithms Humans
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Research on memory failure prediction based on ensemble learning.

PloS one Apr 23, 2025
Timely prediction of memory failures is crucial for the stable operation of data centers. However, existing methods often rely on a single classifier, which can lead to inaccurate or unstable predictions. To address this, we propose a new ensemble mo...
Memory Ensemble Learning Models, Theoretical Humans Machine Learning Algorithms
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A measurement-based framework integrating machine learning and morphological dynamics for outdoor thermal regulation.

International journal of biometeorology Apr 21, 2025
This study presents a comprehensive investigation into the interplay between machine learning (ML) models, morphological features, and outdoor thermal comfort (OTC) across three key indices: Universal Thermal Climate Index (UTCI), Physiological Equiv...
Bayes Theorem Thermosensing Machine Learning Temperature Cities Models, Theoretical Humans
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Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method.

PloS one Apr 15, 2025
This paper addresses the precise trajectory tracking of robotic manipulators (RMs) in automation tasks, particularly in hazardous environments. A dynamic model of the end-effector in Cartesian coordinates is developed to represent the system's motion...
Models, Theoretical Robotics Algorithms Computer Simulation
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Mapping the landscape of APSIM-driven agricultural research: a bibliometric analysis and future perspectives.

International journal of biometeorology Apr 11, 2025
Agricultural research has consistently progressed through the integration of advanced technologies into farming systems. A significant paradigm shift in agricultural production system research has occurred with the development of simulation models, m...
Research Computer Simulation Bibliometrics Climate Change Agriculture Models, Theoretical
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Optimization of shunting operation plan in large freight train depot based on DQN algorithm.

PloS one Apr 8, 2025
Shunting operation plan is the main daily work of the freight train depot, the optimization of shunting operation plan is of great significance to improve the efficiency of railway operation and production and transportation. In this paper, the deep ...
Deep Learning Models, Theoretical Railroads Algorithms Computer Simulation Humans
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Surrogate Model Development for Digital Experiments in Welding.

Journal of visualized experiments : JoVE Mar 28, 2025
The manufacturing industry heavily relies on welding processes to join materials, forming integral components across various sectors. Many aspects will influence the quality of the weld and finally affect the structure integrity of the weldment. Weld...
Computer Simulation Models, Theoretical Neural Networks, Computer Welding Finite Element Analysis
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Development of intelligent hybrid controller for torque ripple minimization in electric drive system with adaptive flux estimator: An experimental case study.

PloS one Mar 28, 2025
In order to ensure optimal performance of permanent magnet synchronous motors (PMSMs) across many technical applications, it is imperative to minimize torque fluctuations and reduce total harmonic distortion (THD) in stator currents. Hence, this stud...
Algorithms Torque Models, Theoretical Electricity Fuzzy Logic
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Explainable machine learning for predictive modeling of blowing snow detection and meteorological feature assessment using XGBoost-SHAP.

PloS one Mar 28, 2025
Accurate forecasting of blowing snow events is vital for improving numerical models of snow processes, yet traditional predictive methods often lack interpretability. This study leverages eXtreme Gradient Boosting (XGBoost) to detect blowing snow eve...
Snow Meteorological Concepts Weather Humidity Models, Theoretical Machine Learning Forecasting Temperature Wind
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Electric vehicle braking energy recovery control method integrating fuzzy control and improved firefly algorithm.

PloS one Mar 28, 2025
Braking energy recovery is crucial for improving the energy efficiency and extending the range of electric vehicles. If a large amount of braking energy is wasted, it will lead to problems such as reduced range and increased battery burden for electr...
Electricity Electric Power Supplies Fuzzy Logic Automobiles Fireflies Algorithms Models, Theoretical
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