Results 151 to 160 of about 466,703 (353)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Einstein aggregation operators for multicriteria group decision making in uncertain environments using cubic picture fuzzy sets. [PDF]
Tanoli MNK +5 more
europepmc +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Decision support model for blockchain adoption using EDAS technique in the complex q-rung orthopair fuzzy structure. [PDF]
Ali U +7 more
europepmc +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Fuzzy soft tensor based group decision making approach with application to heterogeneous wireless network evaluation. [PDF]
Bilal M, Chaoqian L, Popa IL.
europepmc +1 more source
Foundational Exploration and Key Properties of Refined Intuitionistic Q-fuzzy Set: A Comprehensive Study on Mathematical Framework and Set-Theoretic Operations [PDF]
Muhammad Saeed, Fatima Razaq
openalex +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 novel aggregation framework based on complex n,m-rung orthopair fuzzy aczel-alsina operators for renewable energy decision-making. [PDF]
Alshammari I.
europepmc +1 more source

