Results 131 to 140 of about 18,814 (304)
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Convergence and Divergence among Technology Clubs [PDF]
The paper investigates cross-country differences in technology in a large sample of developed and developing economies over the 1990s. The empirical analysis indicates the existence of three technology clubs with markedly different levels of ...
Fulvio Castellaci
core
On Deferred Statistical Convergence of Fuzzy Variables
In this paper, within framework credibility theory, we examine several notions of convergence and statistical convergence of fuzzy variable sequences.
Gurdal, Mehmet +2 more
core
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy
Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti +4 more
wiley +1 more source
I2-CONVERGENCE OF DOUBLE SEQUENCES OF FUZZY NUMBERS
In this paper, we introduce and study the concepts of I-2-convergence, I*(2)-convergence for double sequences of fuzzy real numbers, where I-2 denotes the ideal of subsets of N x N.
Talo, O., Dundar, E.
core
Generalized I-statistical convergence of weight g for fuzzy numbers
The goal of this paper is to introduce the concept of ?-statistical convergence of weight g of fuzzy numbers by using ideal. In addition to this concept, some inclusion theorems are also presented. © 2019 - IOS Press and the authors.
core +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata +14 more
wiley +1 more source
Dielectric Elastomer Actuators as Safe and Effective Tools for Mechanostimulation of Human Cells
Replicating physiological forces is crucial for realistic cell models. Dielectric elastomer actuators (DEAs) offer a soft alternative, though their high voltages raised toxicity concerns. We demonstrate that DEA stimulation causes no cell damage, cell death or cell‐cycle disruption, while activating mechanosensitive responses.
Simon Holzer +6 more
wiley +1 more source

