A Study on Blockchain-Based Sustainable Packaging and Brand Credibility Enhancement Based on Consumer Perception [PDF]
openalex +1 more source
THE CREDIBILITY OF SOME LABORATORY TESTS FOR PREDICTING THE PERFORMANCE OF SOYBEAN (Glycin max L. Merril) SEED UNDER FIELD CONDITIONS [PDF]
Amal M. Elmanzlawy
openalex +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Intelligent web archiving and ranking of fake news using metadata-driven credibility assessment and machine learning. [PDF]
Abrar MF +6 more
europepmc +1 more source
IMPORTANCE OF FINANCIAL AUDIT IN LOWERING INFORMATIONAL RISK [PDF]
The financial audit enables the credibility of the financial statements to be improved, from both accountants and financial information users’ standpoints. This audit is required to provide information quality control.
Gabriela JINGA
core
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
Value-dependent and empathy-mediated: how artificial intelligence-generated marketing content influences customer engagement, and when to disclose its origin. [PDF]
Gao X, Li W, Zhao Y.
europepmc +1 more source
Construction of Quality Security and Credibility Mechanism for Chinese Food Enterprises [PDF]
Hong Li, Li, Hong
openalex +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
I Told You So! Verbal cue beliefs are associated with truth detection, but not lie detection. [PDF]
Bogaard G, Fieweger SE, Meijer EH.
europepmc +1 more source

