Results 141 to 150 of about 151,265 (269)

Computational Intelligence in Stochastic Reconstruction of Porous Microstructures for Image-Based Poro/Micro-Mechanical Modeling. [PDF]

Arch Comput Methods Eng
Fu J, Tan W, Xiao D, Zhuang X.
europepmc   +1 more source

Editorial: Computational intelligence advances in educational robotics. [PDF]

Front Robot AI, 2023
Bellas F, Sousa A.
europepmc   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Editorial: Computational intelligence for signal and image processing, volume II. [PDF]

Front Comput Neurosci
Koundal D, Tohka J.
europepmc   +1 more source

Editorial: Computational intelligence in personalized medicine. [PDF]

Front Pharmacol, 2022
Zhang Y, Hasikin K, Dhanalakshmi S, Hum YC, Lai KW.   +4 more
europepmc   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Retraction: Efficient lung cancer detection using computational intelligence and ensemble learning. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

Retracted: Computational Intelligence-Based Method for Automated Identification of COVID-19 and Pneumonia by Utilizing CXR Scans. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Editorial: Neural inspired computational intelligence and its applications. [PDF]

Front Neurosci
Tan Y, Shi Y, Pei Y.
europepmc   +1 more source