Input Calibration
Input Calibration is a methodological framework within input virtualization that systematically adjusts and aligns raw sensory or simulated input data to match expected computational models or reference standards through algorithmic transformation and error minimization.
18
Publications
871
Citations
80
Authors
34
Institutions
Publications per year
2017–2026
6
Parents
18
1–5 of 18
80
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 80
34

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
7 publications
139 citations

University of Maine
Orono, United States
1 h-index
4 publications
152 citations

Universidad de Granada
Granada, Spain
1 h-index
5 publications
165 citations
Nanjing University
Nanjing, China
1 h-index
4 publications
96 citations
National Agency for New Technologies, Energy and Sustainable Economic Development
Rome, Italy
1 h-index
1 publications
25 citations
University of Oxford
Oxford, United Kingdom
1 h-index
3 publications
129 citations

Sapienza University of Rome
Rome, Italy
1 h-index
2 publications
50 citations

University of Naples Federico II
Naples, Italy
1 h-index
2 publications
50 citations
1–8 of 34
1 publications · 25 citations
1
h-index
1 publications · 76 citations
1
h-index
1 publications · 75 citations
1
h-index
Conference · 1 publications · 24 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5