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Source Location Privacy (SLP) in Wireless Sensor Networks (WSNs) refers to a set of techniques and strategies used to safeguard the anonymity and confidentiality of the locations of sensor nodes (SNs) that are the source of transmitted data within the ...

The difficulty of learning optimal coefficients in regression models using only genetic operators has long been a challenge in genetic programming for symbolic regression. As a simple but effective remedy it has been proposed to perform linear scaling ...

Retinal images are broadly used to expose several retinopathies like glaucoma, optic neuritis, macular degeneration related to age, and diabetic retinopathy. Computer-aided retinal image diagnoses efficiently facilitate clinicians by automating the load ...

Emergent software systems are assembled from a collection of small code blocks, where some of those blocks have alternative implementation variants; they optimise at run-time by learning which compositions of alternative blocks best suit each deployment ...

Metaheuristic search algorithms look for solutions that either maximise or minimise a set of objectives, such as cost or performance. However most real-world optimisation problems consist of nonlinear problems with complex constraints and conflicting ...

The ever-present challenge in the domain of digital devices is how to test their behavior efficiently. We tackle the issue in two ways. We switch to an automated circuit design using Grammatical Evolution (GE). Additionally, we provide two diversity-...

With the widespread use of agile software development methods, such as agile and scrum, software is iteratively updated more frequently. To ensure the quality of the software, regression testing is conducted before new versions are released. ...

Data clustering is widely applied in many real world domain including marketing, anthropology, medical science, engineering, economics, and others. It concerns with the partition of unlabelled dataset objects into clusters (groups) based on a similarity ...

Retinal images are extensively used for the disclosure of retinal vascular disorders like diabetic retinopathy, glaucoma, age-related macular degeneration and optic neuritis. The analysis of a diagnostic retinal image using a computer is necessary to ease ...

In recent years, Evolutionary Algorithms (EAs) have frequently been adopted to evolve instances for optimization problems that pose difficulties for one algorithm while being rather easy for a competitor and vice versa. Typically, this is achieved by ...

Nowadays computer security becomes, increasingly, an indispensable field. It represents a major challenge for all entities: economic, political, social... However, few are the cryptographic systems that ensure security and still resists the enormous ...

Visits to Tunisian heritage sites (archaeological sites, medinas, museums, etc.) do not meet the expectations of visitors who are becoming more and more adept of new technologies, which pushes us to look for new tools to enrich and adapt the tour paths ...

Testing is an important technique to improve the quality of Ethereum smart contract programs. However, current work on testing smart contract only focus on static problems of smart contract programs. A data flow oriented test case generation approach ...

Under the influence of novel coronavirus pneumonia, the traditional manual oil painting creation has put forward higher requirements. The disadvantages of traditional hand drawing are very obvious: tedious, inconvenient to modify and save, slow speed of ...

Cholera is one of the rapidly spreading waterborne diseases which are caused by bacteria named Vibrio Cholerae. As population grows, so as the data related to patients, doctors and health staff. So far, different types of machine learning models have been ...

In recent years, two mainstream technologies have become the centre of IT world, big data and cloud computing. Both these fields are fundamentally different but used together generally. The big-data deals with huge scales of data however cloud-computing ...

Test paper generation is a multi-objective parameter optimization problem under multi-constraints. Aiming at the defects of test paper quality and speed in intelligent test paper generation, the genetic algorithm is improved on the basis of the original ...

Search-based automatic program repair has shown promise in reducing the cost of defects in real-world software. However, to date, such techniques have typically been most successful when constructing short or single-edit repairs. This is true even when ...

The network life can be prolonged to some extent by the scale-free topology which has strong fault-tolerance for the random failure of nodes. However, the unevenness of the scale-free topological structure can result in the imbalance of consumption of ...