Search Result "pyTorch"


Deep Learning-Based Detection of Defects from Images

Ebook: Green Industrial Applications of Artificial Intelligence and Internet of Things

Volume: 1 Year: 2024

Author(s):

Doi: 10.2174/9789815223255124010016

Research Article
Transformer Fault Diagnosis Method based on PSO-GMNN Model

Journal: Recent Advances in Electrical & Electronic Engineering

Volume: 16 Issue: 4 Year: 2023 Page: 417-425

Author(s):

Research Article
Multi-Class Breast Cancer Classification Using Ensemble of Pretrained models and Transfer Learning

Journal: Current Medical Imaging

Volume: 17 Issue: 0 Year: 2021 Page: 1-8

Author(s): Perumalla Murali Mallikarjuna Rao,Sanjay Kumar Singh,Aditya Khamparia,Bharat Bhushan,Prajoy Podder

Medical Imaging Using Machine Learning and Deep Learning: A Survey

Ebook: Prediction in Medicine: The Impact of Machine Learning on Healthcare

Volume: 1 Year: 2024

Author(s): Sanjay Kumar Singh

Doi: 10.2174/9789815305128124010006

Review Article
Application of Artificial Intelligence in Drug Discovery

Journal: Current Pharmaceutical Design

Volume: 28 Issue: 33 Year: 2022 Page: 2690-2703

Author(s): Atif A. Baig,Rupesh K. Gautam,Mohammad A. Kamal

Python for Machine Learning

Ebook: Basics of Python Programming: A Quick Guide for Beginners

Volume: 1 Year: 2023

Author(s):

Doi: 10.2174/9789815179637123010013

Sustainable Development for Smart Healthcare using Privacy-preserving Blockchain-based FL Framework

Ebook: Blockchain and IoT based Smart Healthcare Systems

Volume: 1 Year: 2024

Author(s):

Doi: 10.2174/9789815196290124010017

Introduction to Machine Learning

Ebook: Numerical Machine Learning

Volume: 1 Year: 2023

Author(s):

Doi: 10.2174/9789815136982123010002

Research Article
Graph Neural Networks with Multi-features for Predicting Cocrystalsusing APIs and Coformers Interactions

Journal: Current Medicinal Chemistry

Volume: 31 Issue: 36 Year: 2024 Page: 5953-5968

Author(s):

Machine Learning and Deep Learning Models for Sentiment Analysis of Product Reviews

Ebook: Demystifying Emerging Trends in Machine Learning

Volume: 2 Year: 2025

Author(s):

Doi: 10.2174/9789815305395125020036

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