Results 101 to 110 of about 743 (246)
In this paper, we investigate a class of fuzzy partially differentiable models for Caputo–Hadamard-type Goursat problems with generalized Hukuhara difference, which have been widely recognized as having a significant role in simulating and analyzing ...
Si-Yuan Lin, Heng-You Lan, Ji-Hong Li
doaj +1 more source
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Red‐emissive carbon dots (R‐CDs) exhibiting aggregation‐induced emission (AIE) and aggregation‐caused quenching (ACQ) effects are synthesized from citric acid and urea. They display weak blue fluorescence in water but strong red emission in DMF due to aggregation.
Jiafeng Wan +11 more
wiley +2 more sources
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
This paper investigates the existence of solutions for a class of fuzzy differential equations with nonlocal derivatives. By utilizing an extended version of Krasnosel’skii’s fixed point theorem within the context of fuzzy metric spaces, we demonstrate that the problem has a fuzzy solution defined over a specified interval.
Khadija Elhakimy +2 more
openaire +1 more source
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet +8 more
wiley +1 more source
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
Existence and uniqueness results using interactive fuzzy fractional derivative
This study describes the use of an interactive derivative of Caputo to a fuzzy fractional starting value issue. The beginning setting of the equation is represented by a fuzzy subset, and the differentiation is indicated by F-correlated derivative. In first we provide new and essentials theorems related to F-derivative of order ? ? (0, 1].
Aziz Ghazouani +2 more
openaire +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

