Catalogue Search | MBRL
Search Results Heading
Explore the vast range of titles available.
MBRLSearchResults
-
Reading LevelReading Level
-
Content TypeContent Type
-
Item TypeItem Type
-
Is Full-Text AvailableIs Full-Text Available
-
YearFrom:-To:
-
More FiltersMore FiltersSubjectCountry Of PublicationPublisherSourceTarget AudienceLanguagePlace of PublicationContributorsLocation
Done
Filters
Reset
1
result(s) for
"Khan, Mudassir (Computer scientist), editor"
Sort by:
Artificial intelligence and machine learning for industry 4.0
by
Thirunavukkarasan, M., editor
,
Mary, S. A. Sahaaya Arul, editor
,
Sathiyaraj, R., editor
in
Industry 4.0 Data processing.
,
Artificial intelligence Industrial applications.
,
Machine learning Industrial applications.
2025
Essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manufacturing processes. Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and artificial intelligence. Artificial intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. The significance of AI is not found in its computational models, but in how humans can use them.