Search Result "industrial datasets."

Analyzing the Performances of Different ML Algorithms on the WBCD Dataset

Ebook: Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815079210123010009

Review Article

YOLOv5-based Enhanced Underwater Seaweed Detection Using Open-Source Datasets

Journal: Recent Patents on Engineering
Volume: 19 Issue: 6 Year: 2025 Page: 37-50
Author(s):

Role of Blockchain Technology in Industry 4.0

Ebook: Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications
Volume: 4 Year: 2023
Author(s):
Doi: 10.2174/9789815179187123040005

Machine Learning Approaches for Text Mining and Spam E-mail Filtering: Industry 4.0 Perspective

Ebook: Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815136746123010005

Review Article

Comparative Analysis of Deep Generative Model for Industrial Enzyme Design

Journal: Current Bioinformatics
Volume: 20 Issue: 3 Year: 2025 Page: 195-207
Author(s):

Metal Matrix Composites: An Introduction and Relevance to Modern Sustainable Industry

Ebook: Metal Matrix Composites: A Modern Approach to Manufacturing
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815223439124010003

Headspace Gas Chromatography Methods and their Potential Industrial Applications

Journal: Current Chromatography
Volume: 1 Issue: 2 Year: 2014 Page: 100-121
Author(s):

Consumption of Industrial Waste in Sustainable Development of Clean and Environmentally Friendly City Near an Industrial Area

Ebook: Facets of a Smart City: Computational and Experimental Techniques for Sustainable Urban Development
Volume: 1 Year: 2022
Author(s):
Doi: 10.2174/9789815049077122010010

Carbon Emission Assessment by Applying Clustering Technique to World’s Emission Datasets

Ebook: Advanced Mathematical Applications in Data Science
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124842123010012

Challenges and Opportunities for Deep Learning Applications in Industry 4.0

Ebook: Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Volume: 1 Year: 2022
Author(s): Nipun R. Navadia
Doi: 10.2174/9789815036060122010003

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