N. N. Ahmad

发表

A novel hybrid module of skin detector using grouping histogram technique for Bayesian method and segment adjacent-nested technique for neural network

B. B. Zaidan, A. A. Zaidan, H. A. Karim, 2010 .

A new hybrid module for skin detector using fuzzy inference system structure and explicit rules

B. B. Zaidan, A. A. Zaidan, H. Abdul Karim, 2010 .

A new digital watermarking evaluation and benchmarking methodology using an external group of evaluators and multi‐criteria analysis based on ‘large‐scale data’

A. A. Zaidan, H. A. Karim, Bilal Bahaa Zaidan, 2017, Softw. Pract. Exp..

A New Approach based on Multi-Dimensional Evaluation and Benchmarking for Data Hiding Techniques

A. A. Zaidan, A. A. Zaidan, H. A. Karim, 2017 .

Robust Pornography Classification Solving the Image Size Variation Problem Based on Multi-Agent Learning

B. B. Zaidan, Miss Laiha Mat Kiah, A. A. Zaidan, 2015, J. Circuits Syst. Comput..

Image skin segmentation based on multi-agent learning Bayesian and neural network

B. B. Zaidan, Aduwati Sali, A. A. Zaidan, 2014, Eng. Appl. Artif. Intell..

On the multi-agent learning neural and Bayesian methods in skin detector and pornography classifier: An automated anti-pornography system

B. B. Zaidan, Aduwati Sali, A. A. Zaidan, 2014, Neurocomputing.

A Four-Phases Methodology to Propose Anti-Pornography System Based on Neural and Bayesian Methods of Artificial Intelligence

B. B. Zaidan, Aduwati Sali, A. A. Zaidan, 2014, Int. J. Pattern Recognit. Artif. Intell..

An Automated Anti-Pornography System using a Skin Detector Based on Artificial Intelligence: a Review

B. B. Zaidan, Aduwati Sali, A. A. Zaidan, 2013, Int. J. Pattern Recognit. Artif. Intell..