Add to ORKGthe use of machine learning to predict the time and resources consumed by application
We present a technique for deriving predictions for the run times of parallel applications from the ...
The ability to handle and analyse massive amounts of data has been progressively improved during the...
Nowadays, service providers' (SPs) need for efficient resource utilization solutions is more de...
Context: Productivity management of software developers is a challenge in Information and Communicat...
The client has need for acurate predictions of power usage for their assets. There is historic data ...
This scientific article explores the application of machine learning methods for estimating project ...
Machine learning algorithms are usually evaluated and developed in terms of predictive performance. ...
Machine learning and process mining are two techniques that are becoming more and more popular among...
There is a tremendous rise in cost of software, used in organizations. The cost of software ranges f...
The purpose of this study is to deploy and evaluate the performance of the new age machine learning ...
Every day most people are using applications and services that are utilising machine learning, in so...
Machine learning is a computer science technique that could be used to simplify tedious data-driven ...
Embedded systems must be cost-effective. This imposesstrict requirements on the resource consumption...
As a known fact, energy usage and demand exponentially rises year after year, hence forth power base...
Resources of embedded systems, such as memory size and CPU power, are expensive and (usually) not ex...
We present a technique for deriving predictions for the run times of parallel applications from the ...
The ability to handle and analyse massive amounts of data has been progressively improved during the...
Nowadays, service providers' (SPs) need for efficient resource utilization solutions is more de...
Context: Productivity management of software developers is a challenge in Information and Communicat...
The client has need for acurate predictions of power usage for their assets. There is historic data ...
This scientific article explores the application of machine learning methods for estimating project ...
Machine learning algorithms are usually evaluated and developed in terms of predictive performance. ...
Machine learning and process mining are two techniques that are becoming more and more popular among...
There is a tremendous rise in cost of software, used in organizations. The cost of software ranges f...
The purpose of this study is to deploy and evaluate the performance of the new age machine learning ...
Every day most people are using applications and services that are utilising machine learning, in so...
Machine learning is a computer science technique that could be used to simplify tedious data-driven ...
Embedded systems must be cost-effective. This imposesstrict requirements on the resource consumption...
As a known fact, energy usage and demand exponentially rises year after year, hence forth power base...
Resources of embedded systems, such as memory size and CPU power, are expensive and (usually) not ex...
We present a technique for deriving predictions for the run times of parallel applications from the ...
The ability to handle and analyse massive amounts of data has been progressively improved during the...
Nowadays, service providers' (SPs) need for efficient resource utilization solutions is more de...