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Deep Learning for Tomato Diseases: Classification and Symptoms Visualization
A large dataset compared to the state-of-the art is used and the proposed deep model performs dramatically shallow models, and they can be used as a practical tool for farmers to protect tomato against disease.
Deep Learning for Plant Diseases: Detection and Saliency Map Visualisation
- M. Brahimi, Marko Arsenovic, S. Laraba, S. Sladojevic, K. Boukhalfa, A. Moussaoui
- Computer ScienceHuman and Machine Learning
- 8 June 2018
This chapter has tested multiple state-of-the-art Convolutional Neural Network (CNN) architectures using three learning strategies on a public dataset for plant diseases classification and proposed the use of saliency maps as a visualisation method to understand and interpret the CNN classification mechanism.
Penguins Search Optimization Algorithm (PeSOA)
Comparative studies with other meta-heuristics have proved that PeSOA performs better as far as new optimization strategy of collaborative and progressive research of the space solutions are concerned.
A guided population archive whale optimization algorithm for solving multiobjective optimization problems
A cooperative swarm intelligence algorithm for multi-objective discrete optimization with application to the knapsack problem
Penguins Search Optimisation Algorithm for Association Rules Mining
- Y. Gheraibia, A. Moussaoui, Y. Djenouri, Sohag Kabir, P. Yin
- Computer ScienceJ. Comput. Inf. Technol.
- 30 June 2016
A new ARM approach based on penguins search optimisation algorithm (Pe-ARM for short) is proposed, which outperforms the well-known ARM algorithms in both execution time and solution quality.
Node similarity and modularity for finding communities in networks
A review on methods to estimate a CT from MRI data in the context of MRI-alone RT
Radiation therapy is emerging towards the generalisation of MRI-only RT thanks to the advances in techniques for generation of pseudo-CT images and the development of specialised MR sequences favouring bone visualisation, however, a benchmark needs to be established to set in common performance metrics to assess the quality of the generated pseudo- CT and judge on the efficiency of a certain method.
Penguin Search Optimisation Algorithm for Finding Optimal Spaced Seeds
- Y. Gheraibia, A. Moussaoui, Y. Djenouri, Sohag Kabir, P. Yin, S. Mazouzi
- Computer ScienceInt. J. Softw. Sci. Comput. Intell.
- 1 April 2015
The optimal subset spaced seeds are explored using the bio-inspired approach, penguins search optimisation algorithm ''PeSOA'' for short and an efficient heuristic for computing the overlap complexity between seeds is proposed.