Results 101 to 110 of about 115,423 (315)
Giant Orbital Rashba–Edelstein Effect in Crystalline Cu2O/Cu Heterostructures
An enhanced orbital Rashba–Edelstein effect is demonstrated in a crystalline Cu2O/Cu heterostructure, compared to naturally oxidized CuOx structures, highlighting the critical role of crystallinity and interface control in orbital torque generation. The resulting spin torque conductivity exceeds that of Pt, indicating the potential of orbital torque ...
San Ko +10 more
wiley +1 more source
Adaptive cruise control is a system that maintains an appropriate distance from vehicles ahead while driving. Although Adaptive cruise control systems operate stably on flat roads, they can become unstable on sloped roads. This study presents a method to
Kang-Hyeon Choi, Hyuk-Jun Chang
doaj +1 more source
Designing a successful trading agent using fuzzy techniques [PDF]
Software agents are increasingly being used to represent humans in on-line auctions. Such agents have the advantages of being able to systematically monitor a wide variety of auctions and then make rapid decisions about what bids to place in what ...
He, M. +3 more
core
Evolution‐Driven Bio‐Composite Aerogels for Self‐Adaptive Thermal Regulation and Energy Storage
Inspired by nature's multiphase integration, a single chitosan (CTS)–metal chloride (MCl3) coordination precursor is engineered to enable sequential material and functional evolution. The resulting metal ion‐coordinated chitosan (CTS–M) aerogels exhibit humidity‐adaptive thermal insulation for battery safety, while carbonization yields conductive ...
Xiaoxue Zhang +5 more
wiley +1 more source
To improve surplus torque suppression and loading performance of electric load simulators, this paper presents a loading control strategy based on the new mapping approach and fuzzy inference scheme in the fuzzy Cerebellar Model Articulation Controller ...
Bo Yang, Fuhuang Liu, Meng Zhang
doaj +1 more source
EMBEDDED LEARNING ROBOT WITH FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR [PDF]
Fuzzy Q-learning is extending of Q-learning algorithm that uses fuzzy inference system to enable Q-learning holding continuous action and state. This learning has been implemented in various robot learning application like obstacle avoidance and target ...
Anam, Khairul
core
Anomalous Crystallinity and Magnetism in Chemically Disordered Coherent Heterostructures
Coherent isostructural high‐entropy oxide heterostructures are realized despite remarkable >5% interfacial lattice distortion. The resulting buried interface exhibits abrupt valence reconstruction which contributes to 2 × enhanced exchange bias in the heterostructure relative to constituent layers, demonstrating how chemical disorder enabled anomalous ...
Saeed S. I. Almishal +11 more
wiley +1 more source
A Bi-tree Multi-stage Inference Fuzzy Control System [PDF]
[[abstract]]This paper presents a methodology for the design of a binary tree multi-stage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth.
Chen, Hung-Pin, Yeh, Zong-Mu
core
Electrical resistivity change upon annealing is introduced as a rapid descriptor for identifying high glass‐forming ability in metallic glasses. High‐throughput combinatorial thin‐film libraries reveal that compositions exhibiting small resistivity changes correspond to sluggish crystallization behavior and known bulk metallic glass regions, enabling ...
Haechan Jo +5 more
wiley +1 more source
An approach to online identification of Takagi-Sugeno fuzzy models [PDF]
An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the paper. It is based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning.
Angelov, Plamen +3 more
core +1 more source

