Computational Intelligence-Based Stuttering Detection: A Systematic Review. [PDF]
Alnashwan R +4 more
europepmc +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
Editorial: Computational intelligence for multimodal biomedical data fusion. [PDF]
Sharma M, Gupta U, Geman O.
europepmc +1 more source
Computational-Intelligence-Based Scheduling with Edge Computing in Cyber-Physical Production Systems. [PDF]
Xia C, Jin X, Xu C, Zeng P.
europepmc +1 more source
A 2×2 multiplexed GaAsSb nanowire photodetector array integrated with L‐shaped metasurfaces is developed for miniaturized infrared polarimetry. Leveraging non‐radiating anapole states that facilitate near‐field enhancement, the device demonstrates strong polarization selectivity at 835 nm.
Longsibo Huang +14 more
wiley +1 more source
Editorial: Application of computational intelligence techniques for lifestyle related diseases management. [PDF]
Gururaj HL +3 more
europepmc +1 more source
Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov +2 more
wiley +1 more source
New adaptive memory stochastic fractional operators and their applications in computational intelligence. [PDF]
Khan TU, Al-Juaid BS, Markarian C.
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
A scalable hybrid computational intelligence framework with bio inspired optimization for high dimensional malicious URL inference. [PDF]
Liu H.
europepmc +1 more source

