Applying transfer learning in CNN model architectures for detecting tomato leaf disease with explainable artificial intelligence by Alexander Takele Mengesha, Melaku Alelign Mengistie

“…Traditional manual inspection is error-prone and impracti cal for large-scale farming. …”
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Vit-Traj: A Spatial–Temporal Coupling Vehicle Trajectory Prediction Model Based on Vision Transformer by Rongjun Cheng, Xudong An, Yuanzi Xu

“…The root mean squared error (RMSE) is 2.72 m on the NGSIM dataset and 0.86 m on the HighD dataset when the prediction horizon is 5 s. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…This paper presents an innovative approach to wind energy forecasting through the implementation of an extended long short-term memory (xLSTM) model. This research addresses fundamental limitations in time-sequence forecasting for wind energy by introducing architectural enhancements to traditional LSTM networks. …”
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Enhancing predictive modeling across industries with automated machine learning: applications in insurance and agriculture by K. P. Swain, S. K. Mohapatra, Santosh Kumar Sahoo

“…The results showed that AutoML tools vary in effectiveness, with AutoGluon exhibiting superior performance on the insurance dataset due to its low Mean Squared Error (MSE). Similarly, TPOT excelled in optimizing crop yield predictions by automating machine learning pipelines. …”
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Medical students’ perspectives on effective and ineffective teaching behaviors in lectures by KwangHo Mun, Hye Jin Park

“…Results Effective behaviors included appropriate voice volume, clear pronunciation, error-free lecture materials, clear explanations of learning objectives, and humor. …”
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A Dual-Branch Deep Learning Framework Combining Xception and ResNet for Accurate Lung and Colon Cancer Detection by Chandrasekar Venkatachalam, Priyanka Shah

“…This research proposes a hybrid deep learning model combining the strengths of Xception and ResNet architectures. …”
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Simulation and Experimental Study on Indentation Rolling Resistance of a Belt Conveyor by Lunlun Wan, Fuyan Lin

“…Finally, the experimental study of the indentation rolling resistance is carried out using the indentation rolling resistance testing device from our research group. By comparing the experimental results for the indentation rolling resistance under different working conditions with the theoretical calculation results for the indentation rolling resistance, it was found that the relative error was less than 13%, which proved the feasibility of the indentation rolling resistance and relaxation modulus testing method, as well as the theoretical calculation method for indentation rolling resistance.…”
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Acquisition of Current and Vibration Data for Rewound Burnt Three-Phase Induction Motor by A.I. Abdullateef, O.S. Fagbolagun, M.F. Sanusi

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Self-Excited Vibration Analysis of Gear-Bearing System with Multipoint Mesh and Variable Bearing Dynamic Coefficients by Hao Zhang, Shiheng Cao, Pengyu Li, Qingkai Han

“…Firstly, the structure of the gear system in an integrally geared compressor is used as a research object. The modeling approach of meshing excitation, including time-varying mesh stiffness, gear meshing error, and tooth backlash are introduced. …”
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Study of adaptive control system of asynchronous electric drive belt conveyor by V. N. Meshcheryakov, E. S. Mantukhov, A. V. Sdvizhkov

“…AS A RESULT of the studies carried out, it was found that the full-order speed observer provides a minimum error in speed measurement and can be used in an asynchronous electric drive system with vector control when it is used on an inclined conveyor belt.…”
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Analytical Approach to Enhancing Efficiency of Silt Loading Collection in EPA Vacuum Sweep Method Using K-Means Clustering by Ho-jun Yoo, In-tai Kim

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3D computational fluid dynamics analysis of natural gas separation efficiency in multiphase pumping wells with heterogeneous flow regime by Charles C. Okafor, Patrick G. Verdin

“…This research uses 3D Computational Fluid Dynamics (CFD) simulations to investigate the downhole Natural Gas Separation Efficiency (NGSE) for multiphase pumping wells in the heterogeneous churn flow regime. …”
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Influence of dissolved oxygen in the environment on toxicity indices obtained by various bio-testing methods by P. V. Manakhova, A. V. Smirnov, M. I. Semenova, A. S. Kovalevskaya

“…When using bacteria as a test organism, an error occurs in the toxicity index.…”
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Eradicating tax evasion in Indonesia through financial sector development by Sugiharso Safuan, Muzafar Shah Habibullah, Eric Alexander Sugandi

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Interpretable Machine Learning for High-Accuracy Reservoir Temperature Prediction in Geothermal Energy Systems by Mohammadali Ahmadi

“…Results demonstrate that RF outperforms other models, achieving the lowest mean squared error (MSE = 66.16) and highest R² score (0.977), which is attributed to its ensemble learning approach and robust handling of nonlinear relationships. …”
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EXPRESS MONITORING OF THE MAIN PARAMETERS OF CLOUDS FROM THE EARTH’S SURFACE by A. G. Yakunin

“…Each point is described by a descriptor calculated using the SURF method from the open image processing library OpenCV.Conclusion Despite the simplicity of the required software and hardware (web camera, humidity sensor, and OEM – Arduino module), this method provides a definition of these parameters with an error within 20%. Monitoring systems based on this method may be used in private automatic weather stations, such as the Wunderground, for obtaining more information that could improve the accuracy of weather forecasts, as well as for research in meteorology and climatology.…”
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Optimizing PID control for automatic voltage regulators using ADIWACO PSO by Yaw Opoku Mensah Sekyere, Priscilla Oyeladun Ajiboye, Francis Boafo Effah, Bernard Tawiah Opoku

“…Using the Integral Time Absolute Error (ITAE) as the objective function, the proposed method achieves superior controller performance compared to existing optimization techniques, including BAT, Improved KIA, ARO, and BBO. …”
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Design and Optimisation of a Time-Controlled Feeding Machine for Shrimp Farming by Muangpool Thanin, Wasuri Boonthong, Kuankid Sanya

“…Additionally, the automation of feeding processes significantly reduces the manual labour required, thus increasing operational efficiency and reducing the potential for human error associated with traditional feeding practices.…”
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Superregular Matrices over Finite Fields by Paulo Almeida, Miguel Beltrá, Diego Napp

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Flooding is Not Like Filling a Bath by Brett F. Sanders, Oliver E. J. Wing, Paul D. Bates

“…However, many high‐profile research studies reporting risks at national and global scales rely upon a significant oversimplification of how floods behave—as a level pool—an approach known as bathtub modeling that is avoided in flood management practice due to known biases (e.g., >200% error in flood area) compared to physics‐based modeling. …”
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