Adaptive Process Automation
Adaptive Process Automation is a process automation framework that dynamically adjusts workflows and decision logic in response to changing environmental conditions, operational data, or user interactions through integrated feedback loops, machine learning, and real-time monitoring.
16
Publications
600
Citations
56
Authors
23
Institutions
Publications per year
2017–2026
5
Parents
16
1–5 of 16
56
3
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 56
23

University of Nottingham
Nottingham, United Kingdom
3 h-index
7 publications
432 citations
RMIT University
Melbourne, Australia
3 h-index
3 publications
149 citations

Sapienza University of Rome
Rome, Italy
3 h-index
6 publications
298 citations
University of Fribourg
Fribourg, Switzerland
2 h-index
5 publications
166 citations
National Cheng Kung University
Tainan City, Taiwan
1 h-index
5 publications
140 citations
University of Kaiserslautern
Kaiserslautern, Germany
1 h-index
2 publications
72 citations

Kun Shan University
Tainan City, Taiwan
1 h-index
1 publications
28 citations
RWTH Aachen University
Aachen, Germany
1 h-index
3 publications
90 citations
1–8 of 23
2 publications · 100 citations
2
h-index
2 publications · 72 citations
2
h-index
1 publications · 72 citations
1
h-index
TIST · 1 publications · 81 citations
1
h-index
1 publications · 30 citations
1
h-index
1–5