A review of machine learning in building load prediction
The surge of machine learning and increasing data accessibility in buildings provide great
opportunities for applying machine learning to building energy system modeling and …
opportunities for applying machine learning to building energy system modeling and …
Issues and challenges of load balancing techniques in cloud computing: A survey
With the growth in computing technologies, cloud computing has added a new paradigm to
user services that allows accessing Information Technology services on the basis of pay-per …
user services that allows accessing Information Technology services on the basis of pay-per …
The use of MQTT in M2M and IoT systems: A survey
Nowadays billions of smart devices or things are present in Internet of Things (IoT)
environments, such as homes, hospitals, factories, and vehicles, all around the world. As a …
environments, such as homes, hospitals, factories, and vehicles, all around the world. As a …
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence
Traditional sensing technologies in specialty crops production, for pest and disease
detection and field phenoty**, rely on manual sampling and are time consuming and labor …
detection and field phenoty**, rely on manual sampling and are time consuming and labor …
Cloud computing research: A review of research themes, frameworks, methods and future research directions
This paper presents a meta-analysis of cloud computing research in information systems
with the aim of taking stock of literature and their associated research frameworks, research …
with the aim of taking stock of literature and their associated research frameworks, research …
A survey on virtual machine migration: Challenges, techniques, and open issues
When users flood in cloud data centers, how to efficiently manage hardware resources and
virtual machines (VMs) in a data center to both lower economical cost and ensure a high …
virtual machines (VMs) in a data center to both lower economical cost and ensure a high …
Deadline based resource provisioningand scheduling algorithm for scientific workflows on clouds
Cloud computing is the latest distributed computing paradigm and it offers tremendous
opportunities to solve large-scale scientific problems. However, it presents various …
opportunities to solve large-scale scientific problems. However, it presents various …
Data science for building energy management: A review
The energy consumption of residential and commercial buildings has risen steadily in recent
years, an increase largely due to their HVAC systems. Expected energy loads …
years, an increase largely due to their HVAC systems. Expected energy loads …
Digital business strategy: toward a next generation of insights
Over the last three decades, the prevailing view of information technology strategy has been
that it is a functional-level strategy that must be aligned with the firm's chosen business …
that it is a functional-level strategy that must be aligned with the firm's chosen business …