Results 241 to 250 of about 3,183,032 (340)
Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications
Advanced Intelligent Systems, EarlyView.Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu +4 more
wiley +1 more source
Real‐Time Hot‐Rolled Coil Placement Recommendation System with Data‐Driven Model
Advanced Intelligent Systems, EarlyView.A real‐time coil placement system is developed to enhance cooling uniformity in hot‐rolled steel coils. Combining finite element simulations with artificial neural networks, the system predicts temperature distributions under various yard layouts and recommends optimal positions.
Chihun Lee +5 more
wiley +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
Advanced Intelligent Systems, EarlyView.AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel +7 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study uses iterative learning control and voice coil motor to keep normal force constant in curved surface polishing. A mechanism‐data fusion model adjusts robotic posture via real‐time feedback for adaptive tracking control of normal force vector direction.
Jiale Xu +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A novel risk assessment approach that integrates the fuzzy set theory and Z‐numbers with multicriteria decision‐making techniques (Delphi, decision‐making trial and evaluation laboratory, analytic network process, and VIseKriterijumska Optimizacija I Kompromisno Resenje) to manage uncertainty and prioritize human–robot collaboration risks. A real‐world
Emine Bozkus, İhsan Kaya
wiley +1 more source
Journal of Advanced Manufacturing and Processing, EarlyView.ABSTRACT Accurate identification of defects on metal surfaces is of great interest to many industry sectors, such as the automotive and aerospace industries. In contrast to conventional manual inspection techniques, recent automated inspection systems employ deep learning models trained to detect defects rapidly and precisely.
Mohammad Mohammadzadeh +4 more
wiley +1 more source