Comparative evaluation of geostatistical and machine learning approaches for seasonal mapping of soil salinity in agricultural lands

Stochastic driver compensation for road gradients across vehicle classes: a machine learning approach

Kai Yuan, Hongye Xing, Weihua Zhang, Rui Jiang, Shixiong Jiang

Abstract Slopes often emerge as traffic bottlenecks, yet not all slopes lead to congestion. The relationship between slope capacity and factors like grade and length is complex and non-linear. Accurately estimating road slope capacity and mitigating traffic congestion remain chal…Read more

Comparative machine learning analysis of energy and exergy performance in evacuated tube solar air heater with pierced twisted tape

A. Veerakumar, T. Karthickmunisamy, P. Manoj Kumar, S. Deepa, Dawit Tafesse Gebreyohannes

Hybrid fusion of E-nose and computer vision using optimized deep learning and machine learning for robust plant leaf recognition

Pouya Bohlol, Mohammad Hasan Sabet Dizavandi, Syed Saeid Mohtasebi, Mahmoud Omid

Abstract The fusion multi-sensory system with optimized deep learning and machine learning algorithms appeared to synergize difficult paradigms in precision agriculture and boost recognition of various plant species. In this study, an electronic nose (E-nose) system with eight MO…Read more

Evolution of network structure and driving mechanisms of food production resilience in arid regions: a machine learning-based approach

Yu Sun, Xinwu Li, Ben Tong, Xiao Ding, Hankun Ye

Advanced fraud detection in financial systems: a comparative study of machine learning models on imbalanced data

Xiangting Shi, Yakang Zhang, Manning Yu, Jianan Chen

A comparative study of machine and deep learning models for time-series-based bearing fault diagnosis of induction motors

Kamal Hamani, Martin Kuchar, Martin Sobek, Vojtech Sotola, Petr Palacky