Artificial-Intelligence-Assisted Investigation of Quality and Yield of Cumene Production
Global demand for cumene is rising day by day due to its broad applications in the production of numerous types of polymers like nylon-6, epoxy resins, and polycarbonates. Efforts to enhance process design and operation efficiency are ongoing. However, addressing process uncertainties remains a sign...
Saved in:
| Main Authors: | Asad Ayub, Muhammad Zulkefal, Hamza Sethi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-04-01
|
| Series: | Materials Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4605/17/1/10 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EVOLUTIONS OF GROUP MANAGEMENT DEVELOPMENT OF MOBILE ROBOTIC PLATFORMS IN WAREHOUSING 4.0.
by: Ігор Шакирович Невлюдов, et al.
Published: (2021-12-01) -
The “load balancing” and “adaptive task completion” algorithms implementation on a pharmaceutical sorting conveyor line
by: Ihor Nevliudov, et al.
Published: (2024-03-01) -
AI, Optimization, and Human Values: Mapping the Intellectual Landscape of Industry 4.0 to 5.0
by: Albérico Travassos Rosário, et al.
Published: (2025-06-01) -
Inventory Tracking for Unstructured Environments via Probabilistic Reasoning
by: Mabaran Rajaraman, et al.
Published: (2020-07-01) -
More than 10 years of industry 4.0 in the Netherlands: an opinion on promises, achievements, and emerging challenges
by: A. Martinetti, et al.
Published: (2024-12-01)