Results 251 to 260 of about 2,469,178 (365)

Artificial Neural Network-based Model for Predicting Cardiologists' Over-apron Dose in CATHLABs. [PDF]

J Med Phys
Fardid R, Farah F, Parsaei H, Rezaei H, Jorat MV.   +4 more
europepmc   +1 more source

Integrated Ovonic Threshold Switching Selector and Resistive Switching Memory 1S1R in Electrodeposited ZnTe Thin Films

Advanced Materials Technologies, EarlyView.
This study showcases the first‐ever demonstration of ovonic threshold switching (OTS) and resistive switching (RS) in ZnTe thin films fabricated via a fast, cost‐effective electrodeposition method. By controlling the deposition potential, ZnTe film is tuned to demonstrate OTS or RS behaviors, enabling the implementation of one‐selector‐one‐resistor ...
Ayoub H. Jaafar, Haytham Hussein, Tongjun Zhang, Nikolay Zhelev, Neil T. Kemp, Gillian Reid, Kees de Groot, Philip N. Bartlett, Ruomeng Huang   +8 more
wiley   +1 more source

SCREEN: Learning a Flat Syntactic and Semantic Spoken Language Analysis Using Artificial Neural Networks

, 1997
S. Wermter, V. Weber
openalex   +4 more sources

Modelling the Effect of Carbon Content on Hot Strength of Steels Using a Modified Artificial Neural Network.

, 1998
Lingxue Kong, Peter Hodgson, D. C. Collinson   +2 more
openalex   +2 more sources

Optimization of Online Moisture Prediction Model for Paddy in Low-Temperature Circulating Heat Pump Drying System with Artificial Neural Network. [PDF]

Sensors (Basel)
Zuo Y, Jibril AN, Yan J, Xia Y, Liu R, Chen K.   +5 more
europepmc   +1 more source

Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation

Advanced Materials Technologies, EarlyView.
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada   +2 more
wiley   +1 more source

Empirical versus mechanistic modelling: Comparison of an artificial neural network to a mechanistically based model for quantitative structure pharmacokinetic relationships of a homologous series of barbiturates

, 1999
Ivan Nestorov, Malcolm Rowland, Stefan Hadjitodorov, Ilya Petrov   +3 more
openalex   +2 more sources

Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency. [PDF]

Sci Rep
Kumar A, Sharma BK, Almohsen B, Pérez LM, Urbanowicz K.   +4 more
europepmc   +1 more source

Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications

Advanced Materials Technologies, EarlyView.
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin, Houxin Fan, Zhenchao Liu, Paolo Donati, Youssef Amin, Yap Wing Fen, Junbo Liang, Pier Paolo Pompa, Sailing He   +8 more
wiley   +1 more source

An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis. [PDF]

Sci Rep
Mondal S, Maity R, Nag A.
europepmc   +1 more source