Forty years of computers & chemical engineering: A bibliometric analysis

NM Modak, V Lobos, JM Merigó, B Gabrys… - Computers & Chemical …, 2020 - Elsevier
Abstract Computers & Chemical Engineering (CCE) is one of the premier international
journals in the field of chemical engineering. CCE published its first issue in 1977 and …

Bibliometric and sentiment analysis with machine learning on the scientific contribution of Professor Srinivasa Sourirajan

M Khayet, E Aytaç, T Matsuura - Desalination, 2022 - Elsevier
Abstract Prof. Srinivasa Sourirajan is remembered by the desalination and membrane
community as the “Father of Reverse Osmosis”. He passed away at the age of 98 peacefully …

Towards artificial intelligence at scale in the chemical industry

LH Chiang, B Braun, Z Wang, I Castillo - AIChE Journal, 2022 - Wiley Online Library
Abstract In the Industry 4.0 era, the chemical industry is embracing broad adoption of
artificial intelligence (AI) and machine learning (ML) methods. This article provides a holistic …

Using machine learning language models to generate innovation knowledge graphs for patent mining

AJC Trappey, CP Liang, HJ Lin - Applied Sciences, 2022 - mdpi.com
To explore and understand the state-of-the-art innovations in any given domain, researchers
often need to study many domain patents and synthesize their knowledge content. This …

Topic modeling for automatic analysis of natural language: A case study in an italian customer support center

G Papadia, M Pacella, V Giliberti - Algorithms, 2022 - mdpi.com
This paper focuses on the automatic analysis of conversation transcriptions in the call center
of a customer care service. The goal is to recognize topics related to problems and …

An evolutionary study on technologies for polyethylene terephthalate waste recycling using natural language processing

A Kumar, HC Jami, BR Bakshi, M Ramteke… - Computers & Chemical …, 2025 - Elsevier
Polyethylene terephthalate (PET) is valued for its durability, tensile strength, low moisture
absorption, and cost-effectiveness. However, its non-biodegradability poses an …

[HTML][HTML] Industrial text analytics for reliability with derivative-free optimization

T Zhang, A Bhatia, D Pandya, NV Sahinidis… - Computers & Chemical …, 2020 - Elsevier
Maintenance work order records provide valuable insights into chemical plants and
production efficiency. These records are manually created in computerized management …

IP Analytics and Machine Learning Applied to Create Process Visualization Graphs for Chemical Utility Patents

AJC Trappey, CV Trappey, CP Liang, HJ Lin - Processes, 2021 - mdpi.com
Researchers must read and understand a large volume of technical papers, including patent
documents, to fully grasp the state-of-the-art technological progress in a given domain …

Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland

Y Okamoto, T Balasubramaniam, R Nayak - Data Mining: 19th …, 2021 - Springer
In the mining industry, many reports are generated in the project management process.
These past documents are a great resource of knowledge for future success. However, it …