In this work, three prediction machine learning (ML) models (MLP, RBF, BP) are developed to predict the ultimate tensile strength (UTS) and elongation (EL) of the AFSDed Al2219 samples. ABSTRACT Additive friction stir deposition (AFSD) is an effective method for fabricating high‐performance deposits, with process parameters directly influencing the ...
Chan Wa Tam +10 more
wiley +1 more source
A hybrid AI-genetic algorithm framework for the optimization of polymer flooding strategies: a numerical simulation-based approach. [PDF]
Nourizadeh M +3 more
europepmc +1 more source
Technical Review of Magnetic Resonance Fingerprinting Applications in Cerebral Physiology
ABSTRACT Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mapping of multiple tissue properties through innovative acquisition and computational methods. This review focuses on the application of MRF techniques to cerebral physiology, emphasizing advancements in vascular imaging and the integration of ...
Chieh‐Te Lin +2 more
wiley +1 more source
Multi-view text classification through integrated RNN autoencoder learning of word, sentence, emotion and paragraph representations. [PDF]
Ding Y +3 more
europepmc +1 more source
Abstract Objective Accurate classification of salivary gland tumors is critical to guiding appropriate management. This study evaluates the diagnostic performance of artificial intelligence models in classifying salivary gland tumors on ultrasound. Data Sources A comprehensive search of CINAHL, PubMed, and Scopus was conducted through January 28, 2025.
Isabelle J. Chau +5 more
wiley +1 more source
Low-SNR and BER reduction in UWOC systems using DESN and CNN-TCN deep learning models. [PDF]
Salama WM, Aly MH, Amer ES.
europepmc +1 more source
GraphReco: Probabilistic Structure Recognition for Chemical Molecules
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang +2 more
wiley +1 more source
Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding. [PDF]
Fang C +4 more
europepmc +1 more source
Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives
ABSTRACT Extracellular vesicles (EVs) are membrane‐bound vesicles secreted by various cell types into the extracellular space and play a role in intercellular communication. Their molecular cargo varies depending on the cell of origin and its functional state.
Gloria Kemunto +2 more
wiley +1 more source
The legacy and future of recurrent neural networks in personalized medicine: A reflection on the 2024 Nobel Physics Prize. [PDF]
Wittrup E +4 more
europepmc +1 more source

