A novel approach based on applying a modern metaheuristic called Gene Expression Programming (GEP) to detecting web application attacks is presented in the paper. This class of attacks relates to malicious activity of an intruder against applications, which use a database for storing data. The application uses SQL to retrieve data from the database and web server mechanisms to put them in a web...

In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architecture is modeled by one different Machine Learning System (MLS) based on bio-inspired techniques such as Extended Classifier Systems (XCS), Artificial Immune Systems (AIS), Neuro Connectionist Q-Learning (NQL) and Learning Cl...

Abstract Self-compacting concrete (SCC) is a type of known for its environmental benefits and improved workability. In this study, data-driven approaches were used to anticipate the compressive strength (CS) self-compacting containing recycled plastic aggregates (RPA). A database 400 experimental data sets was assess capabilities multi-objective genetic algorithm evolutionary polynomial regress...

Abstract: In this paper, software reliability measurement is studied from the perspective of usage profile. Reliability parameters on each usage profile are expressed with unascertained rational numbers. Since failure process of each usage profile can be affected by multiple factors such as software attributes and users imports etc., GEP (gene expression programming) is introduced into software...

Strengthening of masonry members using externally bonded (EB) fiber-reinforced polymer (FRP) composites has become a famous structural strengthening method over the past decade due to the popular advantages of FRP composites, including their high strength-to-weight ratio and excellent corrosion resistance. In this study, gene expression programming (GEP), as a novel tool, has been used to predi...

The ultrafine fly ash (FA) is a hazardous material collected from coal productions, which has been proficiently employed for the manufacturing of geopolymer concrete (GPC). In this study, three artificial intelligence (AI) techniques, namely, neural network (ANN), adaptive neuro-fuzzy interface (ANFIS), and gene expression programming (GEP) are used to establish reliable accurate model estimate...

In view of the lack interpretation and inability to know occurrence mechanism PM2.5 concentration by deep learning algorithm in solving prediction problem, this paper adopts a knowledge-guided manual intervention-based gene expression programming (KMGEP) solve it. The KMGEP not only has strong model ability, but also can obtain explicit function relationship between its influencing factors. pro...

A local scour is the removal of bed material from around pier bridge. This considered a big problem and great concern for hydraulic engineers. They should find economic solutions this problem. The exaggerated bridge piers leads to many problems whole structure, such as stability that may lead bridge's destruction. paper aims verify depth different shapes uniform flow conditions than those done ...

The study aims to develop a reliable model using gene-expression programming (GEP) technique for estimating the unconfined compressive strength (UCS) of soil stabilization by cement and fly ash. considered effects several parameters, including ash characteristics such as calcium oxide (CaO) content, CaO/SiO2 ratio, loss ignition. research results show that proposed demonstrates superior perform...