Energy consumption prediction using machine learning; a review

A Mosavi, A Bahmani - 2019 - preprints.org
Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Green Internet of Things (GIoT): Vision, applications and research challenges

AE Varjovi, S Babaie - Sustainable Computing: Informatics and Systems, 2020 - Elsevier
Abstract Internet of Things (IoT) as an emerging technology provides interconnections
between various objects with three features, ie, anything, anyplace, and anytime. Due to the …

Edge intelligence and Internet of Things in healthcare: A survey

SU Amin, MS Hossain - Ieee Access, 2020 - ieeexplore.ieee.org
With the advent of new technologies and the fast pace of human life, patients today require a
sophisticated and advanced smart healthcare framework that is tailored to suit their …

[HTML][HTML] Deep neural networks compression: A comparative survey and choice recommendations

GC Marinó, A Petrini, D Malchiodi, M Frasca - Neurocomputing, 2023 - Elsevier
The state-of-the-art performance for several real-world problems is currently reached by
deep and, in particular, convolutional neural networks (CNN). Such learning models exploit …

Customer experience management in retailing: An organizing framework

D Grewal, M Levy, V Kumar - Journal of retailing, 2009 - Elsevier
Survival in today's economic climate and competitive retail environment requires more than
just low prices and innovative products. To compete effectively, businesses must focus on …

Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey

Y Kumar, S Kaul, YC Hu - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
Abstract Machine learning and artificial intelligence techniques have been proven helpful
when pragmatic to a wide range of complex problems and areas such as energy …

A comprehensive survey on Green ICT with 5G-NB-IoT: Towards sustainable planet

S Popli, RK Jha, S Jain - Computer Networks, 2021 - Elsevier
Rapid advancement in ICT is promoting us into an era of unprecedented prosperity &
countless possibilities. However, there is one gloomy side of the ICT technology that …

Cloud resource demand prediction using machine learning in the context of QoS parameters

P Nawrocki, P Osypanka - Journal of Grid Computing, 2021 - Springer
Predicting demand for computing resources in any system is a vital task since it allows the
optimized management of resources. To some degree, cloud computing reduces the …

Resource usage cost optimization in cloud computing using machine learning

P Osypanka, P Nawrocki - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
Cloud computing is gaining popularity among small and medium-sized enterprises. The cost
of cloud resources plays a significant role for these companies and this is why cloud …

DRL-S: Toward safe real-world learning of dynamic thermal management in data center

Q Zhang, CB Chng, K Chen, PS Lee… - Expert Systems with …, 2023 - Elsevier
Abstract Deep Reinforcement Learning has been researched for Dynamic Thermal
Management in Data Centers. An objective of Dynamic Thermal Management is to minimize …