Results 121 to 130 of about 861,171 (274)
Mizoguchi-Takahashi’s Fixed Point Theorem Concerning τ−Distance
In this paper by using the notion of τ -distance, we will prove Mizoguchi-Takahashi’s fixed point theorem, which is a generalization of fixed point theorem which has been given by ...
Z. Mohammadi
doaj
Schauder-Type Fixed Point Theorem in Generalized Fuzzy Normed Linear Spaces [PDF]
Samprit Chatterjee +2 more
openalex +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
A generalized version of the Earle-Hamilton fixed point theorem for the\n Hilbert ball [PDF]
David Shoikhet
openalex +1 more source
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
Fuzzy Metric Space and Sequel of Common Fixed Point Theorem Using Property E.A.
Shoyeb Ali Sayyed
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This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
A general existence principle for fixed point theorems in one parameter case of soft Da-metric space
M. S. Jeena, Lovelymol Sebastian
openalex +2 more sources
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source

