This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Trace Detection of Adulterants in Illicit Opioid Samples Using Surface-Enhanced Raman Scattering and Random Forest Classification. [PDF]
Martens RR +5 more
europepmc +1 more source
Random Forest Classification of Alcohol Use Disorder Using fMRI Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures. [PDF]
Kamarajan C +10 more
europepmc +1 more source
Rotating magnetic fields (RMFs) are widely used for microrobot propulsion and control. We show that RMF generation with permanent magnets is mechanically feasible for many limb and intracranial applications but becomes constrained for thoracic targets.
Tuan‐Anh Le +4 more
wiley +1 more source
Improved random forest classification model combined with C5.0 algorithm for vegetation feature analysis in non-agricultural environments. [PDF]
Wang T.
europepmc +1 more source
Dynamic Multi-Swarm Differential Learning Quantum Bird Swarm Algorithm and Its Application in Random Forest Classification Model. [PDF]
Zhang J, Xia K, He Z, Fan S.
europepmc +1 more source
Integrating Ecology and Economics in Agent‐Based Models to Support Agricultural Policy
Agent‐based models are valuable tools for studying social‐ecological systems in agriculture. This review maps how existing agent‐based models represent the human and natural domains of agriculture, and discusses developments in economic and ecological agent‐based modeling.
Daniel Vedder +5 more
wiley +1 more source
Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures. [PDF]
Kamarajan C +10 more
europepmc +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source

