Results 71 to 80 of about 18,573 (294)
Logical Entropy of Dynamical Systems—A General Model
In the paper by Riečan and Markechová (Fuzzy Sets Syst. 96, 1998), some fuzzy modifications of Shannon’s and Kolmogorov-Sinai’s entropy were studied and the general scheme involving the presented models was introduced.
Abolfazl Ebrahimzadeh +2 more
doaj +1 more source
Feature gene selection based on fuzzy neighborhood joint entropy
This paper addresses the feature selection problem for gene expression profiles. Feature selection based on fuzzy neighborhood rough sets is very important in gene expression profiles.
Yan Wang +4 more
doaj +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
For the multi-objective flow shop scheduling problem in the supply chain environment, this paper proposes the Fuzzy Relevance Entropy method (FREM) to solve the adaptive value assignment problem in the multi-objective optimization process of the supply ...
Zhe Luo +4 more
doaj +1 more source
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk +7 more
wiley +1 more source
Entropy-Based Surface Electromyogram Feature Extraction for Knee Osteoarthritis Classification
Knee osteoarthritis (KOA) is one of the major causes of lower limb disability. This study aims to develop a computer-based approach to discriminate KOA individuals from controls by using entropy-based features, and therefore to provide an auxiliary ...
Xin Chen +5 more
doaj +1 more source
The notion of “entropy” of a fuzzy set, introduced in a previous paper in the case of generalized characteristic functions whose range is the interval [0, 1] of the real line, is extended to the case of maps whose range is a poset L (or, in particular, a lattice).Some of the reasons giving rise to the non-comparability of the truth values and then the ...
DE LUCA, ALDO, S. TERMINI
openaire +3 more sources
Fuzzy Entropy Based Fuzzy c-Means Clustering with Deterministic and Simulated Annealing Methods [PDF]
This article explains how to apply the deterministic annealing (DA) and simulated annealing (SA) methods to fuzzy entropy based fuzzy c-means clustering.
YASUDA, Makoto, FURUHASHI, Takeshi
core
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source

