Muhammad Junaid

Muhammad Junaid
COMSATS University Islamabad | CUI · Department of Computer Science

Master of Science

About

9
Publications
1,068
Reads
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30
Citations
Introduction
Muhammad Junaid currently studies at the Department of Computer Science, COMSATS Institute of Information Technology. Muhammad does research in Image Processing, Artificial Intelligence and Computer Vision. Their current project is related to Computer Vision.
Additional affiliations
May 2018 - present
House of Technology Pvt. Ltd
Position
  • Programmer
January 2016 - August 2016
Skyline University College
Position
  • Programmer
Education
February 2017 - February 2020
COMSATS University Islamabad
Field of study
  • Computer Science
June 2013 - August 2015
Quaid-i-Azam University
Field of study
  • Information Technology

Publications

Publications (9)
Article
Full-text available
This study presents a shallow and robust road segmentation model. The computer-aided real-time applications, like driver assistance, require real-time and accurate processing. Current studies use Deep Convolutional Neural Networks (DCNN) for road segmentation. However, DCNN requires high computational power and lots of labeled data to learn abstrac...
Conference Paper
Electricity is a valuable resource. With the increase of population, this valuable resource is being used inefficiently. To overcome this problem, electricity providers use various techniques like introducing different pricing schemes. In peak hours, when the usage of electricity is high, the utility increases the per unit cost. Therefore, usage of...
Conference Paper
Home energy management within the traditional grid is difficult, so Smart Grid (SG) is introduced by upgrading the traditional grid, i.e., adding the Information Technology (IT) and Sensors Network (SN) to traditional grids. SG manages the Demand of electricity and help in solving the electricity load management problem. Demand Side response has tw...
Conference Paper
In this paper, we have evaluated the performance of Home Energy Management (HEM) using two meta-heuristic techniques: Chicken Swarm Optimization (CSO) and Bacterial Foraging Algorithm (BFA). We have classified the appliances in two catagories: fixed and shiftable/elastic appliances. Time of Use (ToU) pricing scheme is used for the calculation of el...
Conference Paper
Electricity is a valuable resource. With the increase of population, this valuable resource is being used inefficiently. To overcome this problem, electricity providers use various techniques like introducing different pricing schemes. In peak hours, when the usage of electricity is high, the utility increases the per unit cost. Therefore, usage of...
Conference Paper
Home energy management within the traditional grid is difficult, so Smart Grid (SG) is introduced by upgrading the traditional grid, i.e., adding the Information Technology (IT) and Sensors Network (SN) to traditional grids.SG manages the Demand of electricity and help in solving the electricity load management problem. Demand Side response has two...
Conference Paper
In this paper, we have evaluated the performance of Home Energy Management (HEM) using two meta-heuristic techniques: Chicken Swarm Optimization (CSO) and Bacterial Foraging Algorithm (BFA). We have classified the appliances in two catagories: fixed and shiftable/elastic appliances. Time of Use (ToU) pricing scheme is used for the calculation of el...
Conference Paper
Electricity is a controllable and convenient form of energy and it provides power to appliances. As the population of world is increasing, the electricity demand is also increasing which leads to energy crisis. This problem can be control by using Demand Side Management (DSM) and Energy Management Scheduler (EMS). In this paper, we design EMS for r...

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