Results 131 to 140 of about 53,622 (251)
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee +3 more
wiley +1 more source
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source
Feature Augmentation-Based Adaptive Neural Network Control for Quadrotors. [PDF]
Song B, Huang M.
europepmc +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Bioinspired Spatio-Temporal Cooperative Path Planning for Heterogeneous UAVs Driven by Bi-Level Games: An SSA-MPC Fusion Approach. [PDF]
Yu Y, Le M.
europepmc +1 more source
From Food Waste to Valorized Nanomaterials: Sustainable Green Synthesis and Biomedical Applications
Food waste‐derived biomolecules act as natural reducing and stabilizing agents for the green synthesis of functional NPs with applications in antimicrobial systems, food packaging, biomedical technologies, and environmental remediation. ABSTRACT Food waste is a global issue, with billions of tons discarded and unutilized annually, causing economic ...
Siddhraj Rajput +8 more
wiley +1 more source
Analyzing the normal and epileptic output of a neural mass model based on cyclic-small gain theorem. [PDF]
Hosseini S +3 more
europepmc +1 more source
Glycerol ethoxylate (GEO), a branched ethylene glycol derivative, both toughens commercial PLLA and accelerates its chemical recycling to L‐lactide. The lead sample, containing 10 wt.% GEO, shows 9x higher elongation at break and 6x higher tensile toughness than pure PLLA. The GEO–PLLA samples are efficiently chemically recycled to L‐lactide, even when
Madeleine L. Smith +4 more
wiley +1 more source
Complex [Dy2(hynad)2(dbm)4] was prepared by the employment of the anionic N–O‐based bridging and chelating N‐hydroxy‐1,8‐naphthalimide ligand, featuring a {Dy2(µ‐OR)2}4+ core and exhibiting zero‐field SMM behavior with a Ueff value of 171 K and double‐S‐shaped hysteresis loops, open up to 3.5 K.
Alexandros S. Armenis +6 more
wiley +1 more source
Variable gradient-based phase locked loop for accurate frequency estimation of distorted grids. [PDF]
Lei X +5 more
europepmc +1 more source

