Results 231 to 240 of about 295,628 (369)
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
Controlling AGV While Docking Based on the Fuzzy Rule Inference System. [PDF]
Grzechca D +5 more
europepmc +1 more source
We show that solutal Marangoni flows in thin films climbing the outer surfaces of hydrophilic obstacles break circular Belousov‐Zhabotinsky waves into striking flower‐like patterns. Evaporation‐driven surface‐tension gradients, coupled with gravity, trigger the instability; above a threshold, petal number scales linearly with obstacle diameter ...
Sangram Gore +9 more
wiley +1 more source
Sustainable smart agricultural approach in terrace farming through sensor fusion technology. [PDF]
J K, N S, G K.
europepmc +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Intelligent trajectory tracking in autonomous plantation robots using PSO-tuned nonlinear fuzzy PID, fuzzy PID, and conventional PID controllers. [PDF]
Hailu GL, Yatayew TT.
europepmc +1 more source
CONSTRUCTION OF THE MATHEMATICAL MODEL OF A DIESEL CONTROL BASED ON FUZZY LOGIC
Aleksey Nikolaevich Iliukhin +2 more
openalex +1 more source
This study presents a robot‐assisted remote rehabilitation system for postoperative ankle fractures. The 2.634 kg modular system uses wireless control and deep learning to predict force delays, achieving 100 Hz control (normalized root mean square error ≤ 10.89%).
Zhiyuan He +4 more
wiley +1 more source
Six degree of freedom quadcopter stabilization using self adaptive bonobo Pareto multi objective FLC with processor in the loop validation. [PDF]
Benhammou A +3 more
europepmc +1 more source

