Applications of artificial intelligence in transport: An overview
The rapid pace of developments in Artificial Intelligence (AI) is providing unprecedented
opportunities to enhance the performance of different industries and businesses, including …
opportunities to enhance the performance of different industries and businesses, including …
A guideline to document occupant behavior models for advanced building controls
The availability of computational power, and a wealth of data from sensors have boosted the
development of model-based predictive control for smart and effective control of advanced …
development of model-based predictive control for smart and effective control of advanced …
The deep sleep optimiser: A human-based metaheuristic approach
Owing to the no free lunch theorem, no single optimisation algorithm can solve all
optimisation problems accurately, so new optimisation techniques are required. In this …
optimisation problems accurately, so new optimisation techniques are required. In this …
Optimal evaluation of re-opening policies for COVID-19 through the use of metaheuristic schemes
A new contagious disease or unidentified COVID-19 variants could provoke a new collapse
in the global economy. Under such conditions, companies, factories, and organizations must …
in the global economy. Under such conditions, companies, factories, and organizations must …
Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis
Abstract Background and Objectives This paper examines the accuracy and efficiency (time
complexity) of high performance genetic data feature selection and classification algorithms …
complexity) of high performance genetic data feature selection and classification algorithms …
Prioritizing JUnit test cases in absence of coverage information
Better orderings of test cases can detect faults in less time with fewer resources, and thus
make the debugging process earlier and accelerate software delivery. As a result, test case …
make the debugging process earlier and accelerate software delivery. As a result, test case …
A new metaphor-free metaheuristic approach based on complex networks and Bezier curves.
A metaheuristic method is an optimization technique that is generally inspired by natural or
physical processes. The use of metaphors has created a tendency to reproduce existing …
physical processes. The use of metaphors has created a tendency to reproduce existing …
[PDF][PDF] A comparative study between various sorting algorithms
J Hammad - International Journal of Computer Science and …, 2015 - researchgate.net
The objectives of this paper are to provide a solid foundation for the sorting algorithms and
to discuss three of them (bubble sort, selection sort and gnome sort). In this work, the reader …
to discuss three of them (bubble sort, selection sort and gnome sort). In this work, the reader …
[PDF][PDF] Time complexity analysis of the genetic algorithm clustering method
This paper presents the time complexity analysis of the genetic algorithm clustering method.
The tested feature in the clustering algorithm is the population limit function. For the purpose …
The tested feature in the clustering algorithm is the population limit function. For the purpose …
Automated region-based hybrid compression for digital imaging and communications in medicine magnetic resonance imaging images for telemedicine applications
VK Bairagi, AM Sapkal - IET Science, Measurement & Technology, 2012 - IET
Many classes of images contains spatial regions which are more important than other
regions. Compression methods which are capable of delivering higher reconstruction quality …
regions. Compression methods which are capable of delivering higher reconstruction quality …