Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

“…Advances in computer vision technology have driven the research on vision-based structural vibration analysis and damage identification. …”
Get full text

Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning by Ahmed El-Sayed Saqr, Mohamed S. Saraya, El-Sayed M. El-Kenawy

“…Such accurate forecasting supports policymakers and other industry stakeholders make marketing decisions to reduce environmental impacts and optimize resource utilization. In this research, a novel Greylag Goose Optimization (GGO) algorithm is integrated with a Multi-Layer Perceptron (MLP) model to improve $$\hbox {CO}_2$$ emissions prediction. …”
Get full text

Detection of external defects of tomato crop using appearance parameters by convolutional neural networks by Nima Noorali, Ali Rajabipour, Hamed Sardari, Soleiman Hosseinpour

“…Quality is a paramount factor influencing tomato consumption, hence this research endeavors to leverage novel technology to enhance quality assessment. …”
Get full text

Numerical Modeling of Renal Ionic Equilibrium for Implantable Kidney Applications by Saleh Massoud, Ayham Darwich, Ebrahim Ismaiel

“…This study introduces a new numerical model based on previous research discussing the variations in the concentrations of sodium, potassium, and urea in the extracellular area in the blood during hemodialysis. …”
Get full text

Advanced Geo-Data Analytics and AI for 3D Flood Mapping to Protect Built Assets by J. Blay, L. Hashemi-Beni

“…The results highlighted the severe damage sustained by essential assets, notably Greenville Airport, which experienced significant flooding and disruption. The research results revealed that approximately 32% (415 acres) of developed land, 26% (185) of buildings, and 66% (23 miles) of roads were affected. …”
Get full text

Effects of Water/CO2 on the Shear Mechanical Properties of Straight Jointed Sandstone by LI Guobin, SHEN Yongxing, FENG Zengchao

“…[Conclusions] This research work is of great significance for predicting the shear strength of sandstone after water/CO2 injection, optimizing the construction scheme, and improving the construction safety.…”
Get full text

Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting by Hyun-Jung Bae, Jong-Seong Park, Ji-hyeok Choi, Hyuk-Yoon Kwon

Get full text

Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions by Shehu Mohammed, Neha Malhotra

“…AI liability is another one of the gray areas approaching black, worrying about who is liable for an AI medical error — the developers, the physicians, or the institutions. …”
Get full text

Optimization of Technological Parameters for Cold Spraying Using the Response Surface Method by Wenjie Hu, Oleksandr Shorinov

“…Currently, most of the research in cold spraying is based on a single-factor analysis to explore the law. …”
Get full text

A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network by Xiao Chen, Lei Cao, Zhi Cao, HongWei Zhang

“…Experimental results, gauged by mean error, underscore the superiority of the Ca-LSTM model over other time series prediction models and conventional long short-term memory approaches. …”
Get full text

SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data by Yuhan Liu, Yuanyuan Zha, Gulin Ran, Yonggen Zhang, Liangsheng Shi

“…SMRFR achieved an unbiased root mean square error of 0.0339 m3/m3 on the validation set. Our novel SM dataset offers a basis and valuable reference for agricultural, hydrological, and ecological research, enabling improved analysis and modelling of SM dynamics at regional to global scales.…”
Get full text

Forecasting Area, Production and Productivity of Vegetable Crops in Nepal using the Box-Jenkins ARIMA Model by Rabin Thapa, Shivahari Devkota, Sandip Subedi, Babak Jamshidi

Get full text

Transformer-based Approach for Accurate Asteroid Spectra Taxonomy and Albedo Estimation by Yijun Tang, Yunxiao Jiang, Yuxiang Feng, Xiaoming Zhang, Xiaojun Jiang

“…This information is crucial in progressive or ground exploration processes. Our research focuses on high-precision intelligent inversion of complex physical properties of asteroids based on spectral data, providing support for further analysis of asteroid materials, density, and structure. …”
Get full text

A physical state prediction method based on reduce order model and deep learning applied in virtual reality by Pengbo Yu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Siyun Yi, Ming Zhu, Yangheng Hu, Gexiang Zhang, Gexiang Zhang

Get full text

Enhanced Performance of PAM7 MISO Underwater VLC System Utilizing Machine Learning Algorithm Based on DBSCAN by Meng Shi, Yiheng Zhao, Weixiang Yu, Yuchong Chen, Nan Chi

“…The experimental results show that up to 1.22 Gb/s over 1.2 m underwater visible light transmission can be achieved by using DBSCAN for PAM7 MISO signals. The measured bit error rate is well under the hard decision-forward error correction threshold of 3.8 × 10^−3.…”
Get full text

Trajectory tracking control of trackless rubber-tired vehicles in underground mines under multi-sensor time delays by TAN Zhen, CUI Xiang, GAO Yongjun, JIA Baorui, GAO Liang, CAO Yuxiang, DU Yibo

Get full text

On the Nearshore Significant Wave Height Inversion from Video Images Based on Deep Learning by Chao Xu, Rui Li, Wei Hu, Peng Ren, Yanchen Song, Haoqiang Tian, Zhiyong Wang, Weizhen Xu, Yuning Liu

“…Ultimately, time series inversion results were synthesized from the outputs of multiple models; the final inversion results yielded a mean absolute error of 0.04 m and a mean absolute percentage error of 8.52%. …”
Get full text

A New 5-D Hyperchaotic System With a Line Equilibrium, Its Bifurcation Analysis, Circuit Simulation, FPGA Implementation, and Data Prediction Using Long-Term-Short Memory by Talal Bonny, Sundarapandian Vaidyanathan, Wafaa Al Nassan, Aceng Sambas, Fareh Hannachi, Maher Alrahhal, Chittineni Aruna

Get full text

Enhanced prediction of corrosion rates of pipeline steels using simulated annealing-optimized ANFIS models by Ali Hussein Khalaf, Bing Lin, Ahmed N. Abdalla, Zhongzhi Han, Ying Xiao, Junlei Tang

Get full text

A longitudinal macro analysis of social determinants of health and their impacts on HIV prevalence and nutritional deficiencies in Sub-Saharan Africa by Mzolisi Abednigo Payi, Dominic Abaver, Teke Apalata

“…Despite significant micro-study research, macro-level, longitudinal patterns and causal dynamics remain underexplored. …”
Get full text