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Challenges And Practices Identification Via A Systematic Literature Review In The Adoption Of Green Cloud Computing: Client’s Side Approach
(
IEEE
, 2021 , Article)
Green cloud computing gains popularity over the last decade due to the extensive use of cloud computing. The trend towards cloud computing is spreading at a fast rate. Cloud computing providers extend their data centers ...
Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution
(
Elsevier
, 2022 , Article)
Energy efficiency based on behavioral change has attracted increasing interest in recent years, although, solutions in this area lack much needed techno-economic analysis. That is due to the absence of both prospective ...
5G Networks Towards Smart and Sustainable Cities: A Review of Recent Developments, Applications and Future Perspectives
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
5G wireless communication systems provide massive system capacity with high data rates, very short low-latency, and ultra-high reliability, in addition to high connection density with a positive experience on smart cities ...
Towards Energy-Efficient Framework for IoT Big Data Healthcare Solutions
(
Hindawi
, 2020 , Article)
The aim of the Internet of things (IoT) is to bring every object (wearable sensors, healthcare sensors, cameras, home appliances, smart phones, etc.) online. These different objects generate huge data which consequently ...
Reinforcement learning-based school energy management system
(
MDPI AG
, 2020 , Article)
Energy efficiency is a key to reduced carbon footprint, savings on energy bills, and sustainability for future generations. For instance, in hot climate countries such as Qatar, buildings are high energy consumers due to ...
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
(
Springer
, 2020 , Article)
Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of householders are among the principal challenges in identifying ways to reduce power consumption. This paper introduces a new solution ...
Deep and transfer learning for building occupancy detection: A review and comparative analysis
(
Elsevier
, 2022 , Short Survey)
The building internet of things (BIoT) is quite a promising concept for curtailing energy consumption, reducing costs, and promoting building transformation. Besides, integrating artificial intelligence (AI) into the BIoT ...
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
(
Hindawi Limited
, 2017 , Article)
The last decade has witnessed tremendous efforts to shape the Internet of things (IoT) platforms to be well suited for healthcare applications. These platforms are comprised of a network of wireless sensors to monitor ...
Thermal regulation of algae cultures in raceway ponds utilizing ground heat: Improving techno-economic feasibility and process sustainability of large-scale algae production in Qatar
(
Elsevier
, 2023 , Article)
There is an increasing drive for developing sustainable alternatives for fuels, foods, feeds, and chemicals. Algae can play a significant role in this, however the commercialization of microalgal biomass is still limited ...
Deep Reinforcement Learning Algorithm for Smart Data Compression under NOMA-Uplink Protocol
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
One of the highly promising radio access strategies for enhancing performance in the next generation cellular communications is non-orthogonal multiple access (NOMA). NOMA offers a number of advantages including better ...