Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

“…By addressing these limitations, ERA5 can more effectively support engineering applications, including coastal infrastructure design and renewable energy development, while advancing Kuwait’s sustainable development goals. …”
Get full text

Advanced Optimization Methods for Nonlinear Backstepping Controllers for Quadrotor-Slung Load Systems by Muhammad Maaruf, Sulaiman S. Ahmad, Waleed M. Hamanah, Abdullah M. Baraean, Md Shafiul Alam, Mohammad A. Abido, Md Shafiullah

“…Developments of computational platforms and metaheuristic algorithms increase the efficiency of various critical devices, including uncrewed aerial vehicles (UAVs), employed for monitoring, delivery, inspection, agriculture, military, and logistics applications. Consequently, many carriers prefer air transport for quicker delivery than land transport. …”
Get full text

Wireless Protocol-Based Control of Smart Electric Drive Using Sampled Time Secure Communication of Chaotic Systems by Nhat Quang Dang, Huyen Chau Phan Thi, Quang Dich Nguyen, van Nam Giap

“…The Lyapunov stability theory is applied to rigorously analyze the system’s stability, confirming the reliability of the proposed approach in wireless motor control applications. The system is experimentally validated on ESP32 microcontrollers, demonstrating fast response times, minimal steady-state error, and real-time secure motor control. …”
Get full text

Machine Learning-Driven Optimization of Transport Layers in MAPbI₃ Perovskite Solar Cells for Enhanced Performance by Velpuri Leela Devi, Piyush Kuchhal, Debasis de, Abhinav Sharma, Neeraj Kumar Shukla, Mona Aggarwal

“…In this research work, among those eight ML models, the XGBoost algorithm shows high accuracy for predicting the power conversion efficiency (PCE) of the cell, achieving root mean square error (RMSE) of 0.052 and a coefficient of determination (R2) of 0.999. …”
Get full text

The Study of Critical Heat Flux in Upflow Boiling Vertical Round Tube under High Pressure by Wei Liu, Jianqiang Shan, Shinian Peng, Guangming Jiang, Yu Liu

“…In this study, based on the CHF experiment database of upflow boiling in vertical round tube from 15MPa to the vicinity of the critical pressure of water, the Katto, Bowring, Hall-Mudawar, Alekseev correlations, and Groeneveld LUT-2006 are comparatively studied. With an error analysis of the predicted CHF to the experiment database, the prediction capability and the applicability of these correlations are evaluated and the parametric trends of CHF varying with pressure from 15MPa to critical pressure are proposed. …”
Get full text

Advanced intelligent techniques for modeling oxygen storage in zeolite-based porous materials by Arefeh Naghizadeh, Ahmadreza Jafari-Sirizi, Behnam Amiri-Ramsheh, Saeid Atashrouz, Dragutin Nedeljkovic, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh

“…Abstract Oxygen and nitrogen are essential gases with extensive applications in industrial and medical fields, making their separation from air a critical yet complex challenge. …”
Get full text

Photovoltaic Power Estimation for Energy Management Systems Addressing NMOT Removal with Simplified Thermal Models by Juan G. Marroquín-Pimentel, Manuel Madrigal-Martínez, Juan C. Olivares-Galvan, Alma L. Núñez-González

“…All necessary input data are provided for the analysis, and the accuracy of experimental results is validated using appropriate error metrics.…”
Get full text

Defect Prediction in CWDM Optical Modules Using Multimodal Learning by Kyu-Jeong Choi, Jia Yang, Botambu Collins, Sung-Geun Kim, Do-Jin Lim, Jin-Taek Seong

“…Traditional inspection methods, such as manual video screening and optical testing, are labor-intensive, prone to human error, and often fail to identify underlying defect patterns, thereby necessitating multiple rounds of testing. …”
Get full text

Experimental study on the drag reduction performance of sodium alginate in saline solutions by Zhensong Cheng, Xin Zhang, Xiaodong Dai, Hengli Zhai, Xinwang Song, Xudong Wang, Liang Gao, Guoxin Zhang, Yuan Lu, Lei Li, Xiu Yan, Jianhua Zhang

“…Abstract Since the discovery of the turbulence drag reduction phenomenon over 70 years ago, it has been recognized that the addition of small quantities of drag-reducing agents to fluids can significantly decrease wall shear stress, thereby enhancing fluid pumpability. In many applications, the fluids often contain salts, such as those used in fracturing processes within the petroleum sector. …”
Get full text

An efficient intelligent transportation system for traffic flow prediction using meta-temporal hyperbolic quantum graph neural networks by Manikandan Rajagopal, Ramkumar Sivasakthivel, G. Anitha, Krishna Prakash Arunachalam, K. Loganathan, Mohamed Abbas, Shaeen Kalathil, K. Srinivas Rao

“…Datasets like Los-loop and SZ-taxi datasets are validated by experiments which highlights the impact of the proposed MTH-QGNN model, acquiringamean value RMSE of 4.5 and MAE of 3.5, ensuring minimal prediction error. MTH-QGNN model constantly sustained accuracy above 80% and R2 values exceeding 83%, representing robust predictive trustworthiness. …”
Get full text

SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

“…These findings suggest that SMOTEENN is a more effective technique for handling class imbalance, potentially contributing to the development of more accurate and generalizable predictive models in various applications.…”
Get full text

A novel soil moisture evaluation framework incorporating brightness temperature and a high-resolution 1 km summer brightness temperature dataset by Ziyue Zhu, Runze Zhang, Bin Fang, Hyunglok Kim, Hoang Hai Nguyen, Venkataraman Lakshmi

“…Accurate estimation of soil moisture (SM) is essential for various hydrological, meteorological, agricultural, and ecological applications. However, evaluating SM on a global scale remains challenging due to the limited availability of in-situ observations and the spatial heterogeneity of SM. …”
Get full text

External Validation and Extension of a Cochlear Implant Performance Prediction Model: Analysis of the Oldenburg Cohort by Rieke Ollermann, Robert Böscke, John Neidhardt, Andreas Radeloff

“…The aim of this retrospective study is to test the applicability to an independent patient cohort with extended inclusion criteria. …”
Get full text

Physical Layer Evaluation on IEEE 802.11p With Different Configurations in NLOS Scenarios for V2V Communications by Shuting Guo, Daniel N. Aloi, Jia Li, Hongmei Zhao

“…Motivated by the evolution of vehicular technologies and applications, the vehicle-to-everything (V2X) communications can be realized by the dedicated short-range communications (DSRC) and cellular V2X (C-V2X) which are undergoing continuous and widespread development. …”
Get full text

Hierarchical GraphCut Phase Unwrapping Based on Invariance of Diffeomorphisms Framework by Xiang Gao, Xinmu Wang, Zhou Zhao, Junqi Huang, Xianfeng David Gu

“…Experimental results demonstrate a 45.5&#x00D7; speedup and lower <inline-formula><tex-math notation="LaTeX">$L^{2}$</tex-math></inline-formula> error in both real experiments and simulations, showing potential for real-time applications.…”
Get full text

Research on Monitoring Nitrogen Content of Soybean Based on Hyperspectral Imagery by Yakun Zhang, Mengxin Guan, Libo Wang, Xiahua Cui, Yafei Wang, Peng Li, Shaukat Ali, Fu Zhang

“…The results show the following: (1) Soybean canopy spectral reflectance was highly significantly negatively correlated with soybean canopy nitrogen content in the range of 450–729 nm, and highly significantly positively correlated in the range of 756–774 nm, with the largest positive correlation coefficient of 0.2296 at 765 nm and the largest absolute value of negative correlation coefficient of −0.8908 at 630 nm. (2) The predictive model for soybean canopy nitrogen content based on three optimal spectral indices, NDSI(R₅₅₂,R₅₅₅), RSI(R₅₃₇,R₅₇₃), and DSI(R₅₄₀,R₅₅₅), was optimal, with R² of 0.9063 and 0.91566 and RMSE of 3.3229 and 3.2219 for the calibration and prediction set, respectively. (3) Based on the established optimal prediction model for soybean canopy nitrogen content combined with the UAV hyperspectral image data, spatial distribution maps of soybean nitrogen content at the flowering and seed filling stages were generated, and the R² between soybean nitrogen content in the spatial distribution map and the ground measured value was 0.93906, the RMSE was 3.6476, and the average relative error was 9.5676%, which indicates that the model had higher prediction accuracy and applicability. (4) The overall results show that the optimal prediction model for soybean canopy nitrogen content established based on hyperspectral imaging data has the characteristics of few parameters, a simple structure, and strong applicability, which provides a new method for realizing rapid, dynamic, and non-destructive monitoring of soybean nutritional status on the regional scale and provides a decision-making basis for precision fertilization management during soybean growth.…”
Get full text

Runoff simulation of the Kaidu River Basin based on the GR4J-6 and GR4J-6-LSTM models by Jing Yang, Fulong Chen, Aihua Long, Huaiwei Sun, Chaofei He, Bo Liu

“…A case study is conducted in the Kaidu River Basin to demonstrate the applicability of these models in cold and arid regions. …”
Get full text

Pt/ZnO and Pt/few-layer graphene/ZnO Schottky devices with Al ohmic contacts using Atlas simulation and machine learning by Shonak Bansal, Abha Kiran Rajpoot, G. Chamundeswari, Krishna Prakash, Parvataneni Rajendra Kumar, Ahmed Nabih Zaki Rashed, Mohamed S. Soliman, Mohammad Tariqul Islam

“…The search for highly efficient photodetectors, driven by various applications ranging from environmental monitoring to communication systems and imaging, continues to drive research into novel materials and innovative device architectures. …”
Get full text

A nomogram for predicting early bacterial infection after liver transplantation: a retrospective study by Jie Yu, Jie Yu, Jichang Jiang, Jichang Jiang, Caili Fan, Caili Fan, Jinlong Huo, Jinlong Huo, Tingting Luo, Tingting Luo, Lijin Zhao, Lijin Zhao

“…These results indicate that the developed model exhibits good predictive performance and a moderate error in training and validation.ConclusionThe nomogram constructed in this study showed good differentiation, calibration, and clinical applicability. …”
Get full text

Study of Changing Land Use Land Cover from Forests to Cropland on Rainfall: Case Study of Alabama’s Black Belt Region by Salem Ibrahim, Gamal El Afandi, Amira Moustafa, Muhammad Irfan

“…The control run demonstrated a Root Mean Square Error (RMSE) of 1.64, indicating accurate rainfall predictions. …”
Get full text