Habib Dhahri

Orcid: 0000-0003-4668-7840

According to our database1, Habib Dhahri authored at least 35 papers between 2006 and 2024.

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Bibliography

2024
Underwater images contrast enhancement and its challenges: a survey.
Multim. Tools Appl., February, 2024

Deep architecture for super-resolution and deblurring of text images.
Multim. Tools Appl., January, 2024

2023
DeepVisInterests : deep data analysis for topics of interest prediction.
Multim. Tools Appl., November, 2023

Dress-up: deep neural framework for image-based human appearance transfer.
Multim. Tools Appl., June, 2023

Taylor-based optimized recursive extended exponential smoothed neural networks forecasting method.
Appl. Intell., March, 2023

An Enhanced Binary Particle Swarm Optimization (E-BPSO) algorithm for service placement in hybrid cloud platforms.
Neural Comput. Appl., 2023

2022
TSVD : Tunisia Street View Dataset.
Dataset, January, 2022

A Novel Binary Hybrid PSO-EO Algorithm for Cryptanalysis of Internal State of RC4 Cipher.
Sensors, 2022

Automatic Detection of Liver Cancer Using Hybrid Pre-Trained Models.
Sensors, 2022

Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights.
Sensors, 2022

Reduced annotation based on deep active learning for arabic text detection in natural scene images.
Pattern Recognit. Lett., 2022

SDT-DCSCN for Simultaneous Super-Resolution and Deblurring of Text Images.
CoRR, 2022

DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm.
Appl. Soft Comput., 2022

2021
Node placement optimization using particle swarm optimization and iterated local search algorithm in wireless sensor networks.
Int. J. Commun. Syst., 2021

Optimized recommendations by user profiling using apriori algorithm.
Appl. Soft Comput., 2021

2020
Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks.
Sensors, 2020

2019
Moving average multi directional local features for speaker recognition.
Clust. Comput., 2019

2018
A new hybrid routing protocol for wireless sensor networks.
Int. J. Ad Hoc Ubiquitous Comput., 2018

Human Expertise in Mobile Robot Navigation.
IEEE Access, 2018

2017
Encoding Motion Cues for Pedestrian Path Prediction in Dense Crowd Scenarios.
IEEE Access, 2017

2016
Evolving flexible beta basis function neural tree using extended genetic programming & Hybrid Artificial Bee Colony.
Appl. Soft Comput., 2016

Grey Wolf Optimizer for Training Elman Neural Network.
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

2014
Designing of Beta Basis Function Neural Network for optimization using cuckoo search (CS).
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014

2013
A hybrid learning algorithm for evolving Flexible Beta Basis Function Neural Tree Model.
Neurocomputing, 2013

2012
Hierarchical multi-dimensional differential evolution for the design of beta basis function neural network.
Neurocomputing, 2012

Hierarchical Learning Algorithm for the Beta Basis Function Neural Network
CoRR, 2012

Hierarchical Particle Swarm Optimization for the Design of Beta Basis Function Neural Network.
Proceedings of the Intelligent Informatics, 2012

Designing Beta Basis Function Neural Network for optimization using Artificial Bee Colony (ABC).
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2010
Opposition-based particle swarm optimization for the design of beta basis function neural network.
Proceedings of the International Joint Conference on Neural Networks, 2010

Opposition-based differential evolution for beta basis function neural network.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008
Designing beta basis function neural network for optimization using particle swarm optimization.
Proceedings of the International Joint Conference on Neural Networks, 2008

The modified particle swarm optimization for the design of the Beta Basis Function neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Automatic Selection for the Beta Basis Function Neural Networks.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 2007

2006
The Modified Differential Evolution and the RBF (MDE-RBF) Neural Network for Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2006


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