collaborators

6 papers

cond-mat.mtrl-sci2016

Modeling Mechanical Properties of Aluminum Composite Produced Using Stir Casting Method

Muhammad Hayat Jokhio, Muhammad Ibrahim Panhwer, Mukhtiar Ali Unar

ANN (Artificial Neural Networks) modeling methodology was adopted for predicting mechanical properties of aluminum cast composite materials. For this purpose aluminum alloy were de…

cond-mat.mtrl-sci2016

Manufacturing of Aluminum Composite Material Using Stir Casting Process

Muhammad Hayat Jokhio, Muhammad Ibrahim Panhwer, Mukhtiar Ali Unar

Manufacturing of aluminum alloy based casting composite materials via stir casting is one of the prominent and economical route for development and processing of metal matrix compo…

cs.NE2016

Channel Equalization Using Multilayer Perceptron Networks

Saba Baloch, Javed Ali Baloch, Mukhtiar Ali Unar

In most digital communication systems, bandwidth limited channel along with multipath propagation causes ISI (Inter Symbol Interference) to occur. This phenomenon causes distortion…

cs.NI2016

SAM: Support Vector Machine Based Active Queue Management

Muhammad Saleh Shah, Asim Imdad Wagan, Mukhtiar Ali Unar

Recent years have seen an increasing interest in the design of AQM (Active Queue Management) controllers. The purpose of these controllers is to manage the network congestion under…

cs.NE2016

pH Prediction by Artificial Neural Networks for the Drinking Water of the Distribution System of Hyderabad City

Niaz Ahmed Memon, Mukhtiar Ali Unar, Abdul Khalique Ansari

In this research, feedforward ANN (Artificial Neural Network) model is developed and validated for predicting the pH at 10 different locations of the distribution system of drinkin…

cs.CV2016

Image Quality Assessment for Performance Evaluation of Focus Measure Operators

Farida Memon, Mukhtiar Ali Unar, Sheeraz Memon

This paper presents the performance evaluation of eight focus measure operators namely Image CURV (Curvature), GRAE (Gradient Energy), HISE (Histogram Entropy), LAPM (Modified Lapl…