[HTML][HTML] Machine Learning to Estimate Workload and Balance Resources with Live Migration and VM Placement
Currently, utilizing virtualization technology in data centers often imposes an increasing
burden on the host machine (HM), leading to a decline in VM performance. To address this …
burden on the host machine (HM), leading to a decline in VM performance. To address this …
Cognitive Classifier of Hand Gesture Images for Automated Sign Language Recognition: Soft Robot Assistance Based on Neutrosophic Markov Chain Paradigm
In recent years, Sign Language Recognition (SLR) has become an additional topic of
discussion in the human–computer interface (HCI) field. The most significant difficulty …
discussion in the human–computer interface (HCI) field. The most significant difficulty …
The dynamic impact of regional construction industry economy, energy and carbon emissions based on HMM
G Zhou, Z Fu, Y Liu, Z He, M Cai… - International Journal of …, 2024 - inderscienceonline.com
Aiming at the uncertainty of the internal correlation between economic growth, energy
consumption and carbon emissions in regional construction industry, a dynamic impact …
consumption and carbon emissions in regional construction industry, a dynamic impact …
[HTML][HTML] Hidden Markov Models for Pattern Recognition
Abstract Hidden Markov Models (HMMs) are the most popular recognition algorithm for
pattern recognition. Hidden Markov Models are mathematical representations of the …
pattern recognition. Hidden Markov Models are mathematical representations of the …