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Article
Deep Learning Based-Virtual Screening Using 2D Pharmacophore Fingerprint in Drug Discovery
Predicting biological activity and molecular properties is one of the most important goals in the pharmaceutical and bioinformatics field in order to discover potential new drugs. Although machine learning met...
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Article
Flexible edge detection and its enhancement by smell bees optimization algorithm
Edge detection still nowadays a complex challenge since the intrinsic proprieties of an image vary from one case to another. Thus, capturing the semantic content of an image relies only on the human interpreta...
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Chapter
A Steganographic Embedding Scheme Using Improved-PSO Approach
this paper, we are interested by tackling the task as an optimization problem carried out by a bio- approach. Indeed, a novel embedding scheme using the substitution principle of LSB and related to an impr...
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Article
Stochastic simulation of quorum sensing in Vibrio fischeri based on P System
Inspiration from nature and especially from biology is up today a multidisciplinary challenge where biologists aim to exploit ‘competences’ of a computer to understand phenomena of life through simulations and...
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Article
Automatic Hand Detection in Color Images based on skin region verification
Among the modern means of communications that appeared recently, there is the natural computer interaction using hands. Several methods have been proposed for their detection in the literature, and the common ...
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Article
Real-time wrist localization in color images based on corner analysis
Hand detection and gestures recognition have become very popular in recent human-computer interaction systems. Although several methods of hand detection have been proposed in the literature, they exist few me...
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Article
Unsupervised Clustering Based an Adaptive Particle Swarm Optimization Algorithm
Clustering analysis is the major application area of data mining where particle swarm optimization (PSO) is being widely implemented due to its simplicity and efficiency. In this paper, we present a new varian...
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Article
Psychological model of particle swarm optimization based multiple emotions
This paper proposes a novel approach to swarm particle optimization based on emotional behavior to solve real optimization problems. In the trend of PSO manipulating self-adaptive control to regulate potential...
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Chapter and Conference Paper
VICAL: Visual Cognitive Architecture to Understanding Image Semantic Content
In this paper, we are interested by the different sides of visual machine learning. For this purpose, we present an expected cognitive architecture to highlight all the visual learning functionalities. Despite...
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Chapter and Conference Paper
VICAL: Visual Cognitive Architecture for Concepts Learning to Understanding Semantic Image Content
In this paper, we are interested by the different sides of the visual learning and the visual machine learning, as well as the development of the ”visual cognitive” evolution cycle. For this purpose, we presen...
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Article
Edge-based Segmentation Using Robust Evolutionary Algorithm Applied to Medical Images
Although medical image segmentation is a hard task in image processing, it is possible to reduce its complexity by considering it as an optimization problem. This paper presents a robust evolutionary algorithm...
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Article
Advances in evolutionary feature selection neural networks with co-evolution learning
Training neural networks is a complex task provided that many algorithms are combined to find best solutions to the classification problem. In this work, we point out the evolutionary computing to minimize a n...
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Chapter and Conference Paper
Evolutionary Bi-objective Learning with Lowest Complexity in Neural Networks: Empirical Comparisons
This paper introduces a new study in evolutionary computation technique in order to learn optimal configuration of a multilayer neural network. Inspired from thermodynamic perception, the used evolutionary fra...
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Chapter and Conference Paper
Robust Semantic for an Evolved Genetic Algorithm-Based Machine Learning
The aim of this paper is to introduce a robust semantic to genetic learning behavior. The conceptualization of new genetic machine learning relies on the specification model of Entity-Relation. According to th...