Convolutional neural network cnn

Results 211 to 220 of about 5,510,322 (305)

A rapid approach for discriminating <i>Ganoderma</i> species using attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy integrated with chemometric analysis and convolutional neural network (CNN). [PDF]

Front Chem
Chen SY +12 more
europepmc +1 more source

TC-CNN: Trajectory Compression based on Convolutional Neural Network

Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021
Yulong Wang, Jingwang Tang, Zhe Jia
openaire +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source

Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation. [PDF]

PLoS One
Sarafraz I, Agahi H, Mahmoodzadeh A.
europepmc +1 more source

AI‐Assisted Ultrasensitive Biosensing using Metal‐Electrolyte‐Metal‐Insulator‐Silicon Structure Based on Oxygen‐Tunable Iridium Oxide Nanonets for Lysyl‐Oxidase‐Like‐2 Breast Cancer Detection

Advanced Electronic Materials, EarlyView.
An oxygen‐controlled iridium‐oxide (IrOx) nano‐net structure is developed to enhance the sensitivity of metal‐electrolyte‐metal‐insulator‐silicon (MEMIS) biosensors. Integrated with a deep learning model, this platform achieves a high accuracy of 94.8% for detecting the breast cancer biomarker LOXL2.
Chiao‐Fan Chiu +9 more
wiley +1 more source

Self-Trained Convolutional Neural Network (CNN) for Tuberculosis Diagnosis in Medical Imaging. [PDF]

Cureus
Sarawagi K, Pagrotra A, Dhiman H, Singh N. +3 more
europepmc +1 more source

Artificial Intelligence–Based Surgical Phase Analysis Enables Objective Assessment of Surgeon Skill in Robotic Distal Gastrectomy: A Multicenter Study

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Artificial intelligence (AI)–based surgical video analysis can automate time‐consuming manual assessments and enable objective characterization of surgical workflows. We aimed to construct a large, multicenter, fully annotated dataset of robotic distal gastrectomy (RDG) videos and evaluate the feasibility and performance of an AI model for
Masaru Komatsu +8 more
wiley +1 more source

A lightweight convolutional neural network (CNN) model for diatom classification: DiatomNet. [PDF]

PeerJ Comput Sci
Gunduz H, Gunal S.
europepmc +1 more source

Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging. [PDF]

Front Plant Sci, 2021
Yan T +6 more
europepmc +1 more source

Lumped modeling of bubbling fluidized beds for high‐temperature processes

AIChE Journal, EarlyView.
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh +3 more
wiley +1 more source

convolutional neural network
deep learning
cnn

medicine