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Landslide susceptibility mapping using a machine learning approach and different environmental factors in the Western Ghats region (India)

Earth Surface Processes and Landforms, Volume 51, Issue 5, May 2026.
Landslide susceptibility mapping in India's Western Ghats using machine learning revealed high‐risk zones driven by deforestation, slope alteration and road proximity. The Random Forest model showed highest accuracy, supporting targeted mitigation, planning and early warning systems.
Manoranjan Mishra +4 more
wiley +1 more source

Development and performance evaluation of variable width raised bed former with optimal parameters predicted by RBF neural network-PSO technique. [PDF]

Sci Rep
Sawant CP +6 more
europepmc +1 more source

Machine Learning Unveils Dietary Antioxidants as Influential Factors for Diabetes‐Cancer Comorbidity: Insights From National Health and Nutrition Examination Survey

Food Science &Nutrition, Volume 14, Issue 5, May 2026.
This study employs an interpretable machine learning framework to predict diabetes‐cancer comorbidity, with the Random Forest and LightGBM models demonstrating exceptional performance. SHAP value analysis reveals that while advanced age and cardiometabolic dysfunctions serve as primary risk drivers, dietary antioxidants (particularly daidzein and ...
Ming Xu +8 more
wiley +1 more source

Optimization of cable tension in large-span cable-stayed bridges based on RBF neural network and improved sea-gull algorithm. [PDF]

Sci Rep
Zhao D, Wang H, Yu M.
europepmc +1 more source

Predicting Prostate Cancer Risk and Its Associated Factors Using Machine Learning Techniques: A Retrospective Study

Health Science Reports, Volume 9, Issue 5, May 2026.
ABSTRACT Background and Aims Prostate cancer affects many people around the world and is fatal. Today, artificial intelligence‐based techniques are widely used to predict and diagnose diseases. This study aimed to use machine learning‐based techniques to predict and identify the most significant risk factors of prostate cancer.
Serveh Mohammadi +3 more
wiley +1 more source

Global Fast Terminal Fuzzy Sliding Mode Control of Quadrotor UAV Based on RBF Neural Network. [PDF]

Sensors (Basel)
Chen W, Ding Y, Weng F, Liang C, Li J.
europepmc +1 more source

Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation.

Comput Intell Neurosci, 2021
Guo F, Huang Q.
europepmc +1 more source

Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored‐product beetle

Pest Management Science, Volume 82, Issue 5, Page 4319-4331, May 2026.
This study employs an AI‐driven multidisciplinary approach to increase our understanding of the toxicological effects of sublethal concentrations of carlina oxide on Prostephanus truncatus. Sublethal exposure to the carlina oxide induced changes in motor patterns and thigmotaxis, highlighting its potential role in integrated pest management strategies.
Anita Casadei +9 more
wiley +1 more source

Grain storage temperature prediction based on chaos and enhanced RBF neural network. [PDF]

Sci Rep
Sun F, Gong C, Lyu Z.
europepmc +1 more source

Machine Learning Meets Pharmacokinetics: A Comparative Analysis of Predictive Models for Plasma Concentration‐Time Profiles

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 5, May 2026.
ABSTRACT Predicting pharmacokinetic (PK) profiles from molecular structures represents a significant advancement in pharmaceutical research with substantial implications for expediting drug discovery processes. We evaluated five approaches to systematically compare five distinct methodological frameworks for predicting rat plasma concentration‐time ...
Felix Jost +4 more
wiley +1 more source

mechanical engineering and machinery