Threshold optimization for distributed CFAR detection in Weibull clutter using genetic algorithms. - Amar Mezache; Faouzi Soltani (ISSPA, 2007)

A novel threshold optimization of ML-CFAR detector in Weibull clutter using fuzzy-neural networks. - Amar Mezache; Faouzi Soltani (Signal Process., 2007)

Threshold optimization of decentralized CFAR detection in weibull clutter using genetic algorithms. - Amar Mezache; Faouzi Soltani (Signal Image Video Process., 2008)

A New Approach for Estimating the Parameters of the rmK-Distribution Using Fuzzy-Neural Networks. - Amar Mezache; Faouzi Soltani (IEEE Trans. Signal Process., 2008)

Estimation of the RiIG-distribution parameters using the Artificial Neural Networks. - Amar Mezache; Izzeddine Chalabi (ICSIPA, 2013)

Automatic WH-based edge detector in Weibull clutter. - Souad Chabbi; Toufik Laroussi; Amar Mezache (EUSIPCO, 2014)

Estimating the K-distribution parameters based on fractional negative moments. - Izzeddine Chalabi; Amar Mezache (SSD, 2015)

Sea clutter modeling in presence of thermal noise using beta-prime texture distribution. - Izzeddine Chalabi; Amar Mezache (SSD, 2015)

Model for non-rayleigh clutter amplitudes using compound inverse gaussian distribution: an experimental analysis. - Amar Mezache; Faouzi Soltani; Mohamed Sahed; Izzeddine Chalabi (IEEE Trans. Aerosp. Electron. Syst., 2015)

Estimation of the k-distributed clutter plus thermal noise parameters using higher order and fractional moments. - Amar Mezache; Mohamed Sahed; Faouzi Soltani; Izzeddine Chalabi (IEEE Trans. Aerosp. Electron. Syst., 2015)

A novel [z log(z)]-based closed form approach to parameter estimation of k-distributed clutter plus noise for radar detection. - Mohamed Sahed; Amar Mezache; Toufik Laroussi (IEEE Trans. Aerosp. Electron. Syst., 2015)

K-clutter plus noise parameter estimation using fractional positive and negative moments. - Amar Mezache; Izzeddine Chalabi; Toufik Laroussi; Mohamed Sahed (IEEE Trans. Aerosp. Electron. Syst., 2016)

Robust non parametric CFAR detector in compound Gaussian clutter. - Khaled Zebiri; Faouzi Soltani; Amar Mezache (ICFSP, 2017)

Wavelet DT method for water leak-detection using a vibration sensor: an experimental analysis. - Miloud Bentoumi; Djamel Chikouche; Amar Mezache; Haddi Bakhti (IET Signal Process., 2017)

Closed-Form Fractional-Moment-Based Estimators for K-Distributed Clutter-Plus-Noise Parameters. - Mohamed Sahed; Amar Mezache (IEEE Trans. Aerosp. Electron. Syst., 2017)

The Performance of Decentralized CFAR Detection Using Biogeography Based Optimization. - Amel Gouri; Amar Mezache; Houcine Oudira (CIST, 2018)

Solar Cell Parameters Extraction of Photovoltaic Module Using NeIder-Mead Optimization. - Houcine Oudira; Amar Mezache; Aissa Chouder (CIST, 2018)

Robust Non Parametric CFAR Detector in Compound Gaussian Clutter in the Presence of Thermal Noise and Interfering Targets. - Nouh Guidoum; Faouzi Soltani; Khaled Zebiri; Amar Mezache (ICISP, 2018)

Two novel radar detectors for spiky sea clutter with the presence of thermal noise and interfering targets. - Nouh Guidoum; Faouzi Soltani; Amar Mezache (Turkish J. Electr. Eng. Comput. Sci., 2020)

Parameter Estimation in Radar K-Clutter Plus Noise Based on Otsu's Algorithm. - Taha Hocine Kerbaa; Amar Mezache; Houcine Oudira (Ingénierie des Systèmes d Inf., 2020)

Analysis of non-coherent CFAR detectors in sea-clutter: A comparison. - Zakia Terki; Fouad Chebbara; Amar Mezache (CIST, 2021)

Radar CFAR detection for multiple-targets situations for Weibull and log-normal distributed clutter. - Khaled Zebiri; Amar Mezache (Signal Image Video Process., 2021)

Effect of Non-Integer Order Moments on Parameter Estimation of Pareto Distributed Clutter plus Noise. - Taha Hocine Kerbaa; Amar Mezache; Houcine Oudira (SSD, 2022)

On the Performance of GLRT-LTD CFAR Processor in Correlated Pareto Clutter Under Different Estimators. - Taha Hocine Kerbaa; Amar Mezache; Houcine Oudira (SSD, 2022)

Analysis of CFAR Detection in a Pareto Type II Clutter with Multiple Pulses. - Zakia Terki; Amar Mezache; Fouad Chebbara (NILES, 2023)

Radar Clutter Modeling Based on CGIG and Mixture CGIG Distributions. - Zakia Terki; Amar Mezache; Fouad Chebbara (NILES, 2023)

Triple-order statistics-based CFAR detection for heterogeneous Pareto type I background. - Khaled Zebiri; Amar Mezache (Signal Image Video Process., 2023)

Multi-headed deep learning-based estimator for correlated-SIRV Pareto type II distributed clutter. - Taha Hocine Kerbaa; Amar Mezache; Fulvio Gini; Maria S. Greco (EURASIP J. Adv. Signal Process., 2023)

Quadruple-order statistics CFAR algorithm for Pareto type I environment. - Khaled Zebiri; Amar Mezache (Signal Image Video Process., 2024)

CFAR detection using two scale invariant functions in heterogeneous Weibull clutter. - Khaled Zebiri; Amar Mezache (Signal Image Video Process., 2024)

Improvement in parameter estimation of Pareto type II clutter using artificial neural networks. - Chehla Alioua; Amar Mezache; Faouzi Soltani (Signal Image Video Process., 2025)

Adaptive CFAR thresholding in two parameter pareto type I model. - Khaled Zebiri; Amar Mezache (Signal Image Video Process., 2025)