Browsing by Author "Waqas Ali"

Now showing 1 - 8 of 8
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    Context Aware News Similarity for the identification of follow-ups among human loss related news articles
    (University of Management & Technology, 2018) Waqas Ali
    Text similarity plays an important role in document clustering, plagiarism detection, automatic student answer grading, information retrieval and language translation systems. Many researchers have studied on string, corpus and knowledge based approaches to resolve the problem of document similarity. In this paper research has been made on full text similarity and context information of a news. Time complexity and follow-ups distribution are main challenges for full text similarity which is computed by using jaccard index. The proposed system in this paper uses context information of news to resolve these issue and to classify the news into three categories i.e. same day follow-ups, different day follow-ups and distinct news. Context is built by using well known Stanford parser which further enriched with factor of severity to reduce the target dataset for similarity computation. Results showed that context aware similarity approach is better than traditional full text similarity approach in efficiency and accuracy.
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    Context aware news similarity for the identification of follow-ups among human loss related news articles
    (UMT.Lahore, 2018) Waqas Ali
    Text similarity plays an important role in document clustering, plagiarism detection, automatic student answer grading, information retrieval and language translation systems. Many researchers have studied on string, corpus and knowledge based approaches to resolve the problem of document similarity. In this paper research has been made on full text similarity and context information of a news. Time complexity and follow-ups distribution are main challenges for full text similarity which is computed by using jaccard index. The proposed system in this paper uses context information of news to resolve these issue and to classify the news into three categories i.e. same day follow-ups, different day follow-ups and distinct news. Context is built by using well known Stanford parser which further enriched with factor of severity to reduce the target dataset for similarity computation. Results showed that context aware similarity approach is better than traditional full text similarity approach in efficiency and accuracy.
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    Energy Saving System
    (UMT Lahore, 2011-08-12) Omer Farooq Minhas; Shahid Farooq; Waqas Ali; Imtiaz Ali
    As we all know that our homeland Pakistan is suffering from the worst energy crisis in history. Every day, we are running out of fuels like petrol, diesel, gasoline, and natural gas. So, electricity produced by these sources is also very expensive. The ideal source for Pakistan is solar energy. Due to this reason, we chose to work on this project, which can help solve these problems. To make this a little better, our project implements a smart algorithm in order to power a load using solar energy, batteries, or WAPDA. For this project, our goal is to power a load with minimum power from WAPDA. In order to form this project, we needed to monitor the voltage and current flow from each of the sources (solar, batteries, and WAPDA) and the load. We implemented these current and voltage monitors. The next step was to come up with an algorithm that would determine which source should be powering the load and when the battery should be charged. The final step was to send out data to the PIC so that the data could be analyzed.
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    Energy saving system
    (UMT Lahore, 2011-08-12) Omer Farooq Minhas; Shahid Farooq; Waqas Ali; Imtiaz Ali
    As we all know, our homeland Pakistan is suffering from the worst energy crisis in history. Every day, we are running out of fuels like petrol, diesel, gasoline, and natural gas. So, electricity produced by these sources is also very expensive. The ideal source for Pakistan is solar energy. Due to this reason, we chose to work on this project, which can help solve these problems. To make this a little better, our project implements a smart algorithm to power a load using solar energy, batteries, or WAPDA. The goal of this project is to power a load with minimum power drawn from WAPDA. To develop this project, we needed to monitor the voltage and current flow from each of the sources (solar, batteries, and WAPDA) as well as the load. We implemented these current and voltage monitors. The next step was to design an algorithm that determines which source should power the load and when the battery should be charged. The final step was to send the data to the PIC so that it could be analyzed.
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    Energy saving system
    (University of Management and Technology, 2011) Omer Farooq Minhas; Waqas Ali; Shahid Farooq; Imtiaz Ali
    As we all know that our home land Pakistanis suffering from worst energy crisis in the history. Everyday we running out of fuels like petrol, diesel, gasoline and natural gas. So electricity produced by these sources is also very expansive. The ideal source for Pakistanis Solar Energy. Due to this reason we chose to work on this project which can solve the problems. To make this a little better our project implements a smart algorithm in order to power a load with a solar, batteries or the wapda. For this project our goal is to power a load with minimum power from the wapda. In order to form this project, we needed to monitor the voltage and current flow from each of the sources (solar, batteries, and the wapda) and the load. We implemented these current and voltage monitors. The next step was to come up with an algorithm that would determine what source should be powering the load and when the battery should be charged. The final step was to send out data to PIC so that the data can be analysed.
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    On shop
    (UMT Lahore, 2015-05) Zafar Ali; Muhammad Ahsan; Waqas Ali
    This document is being written for the web application which we have been developing by the name of On Shop. On Shop is basically a web portal which would make sure the successful exchange of trade through internet for the local customers of Pakistan to purchase the products which they want to. This e-commerce website is developed in order to target the local market. Local businesses that is, the people who have physical businesses can take their online giving them a complete virtual shop. By having a complete control of the information which they want to share with the world and attract the customers who are willing to buy products online, retailers would be able to showcase their products in a very easy and convenient manner. This document provides all the information which describes the working of the project and also how we have conceptualized the idea of an e-commerce website. This project is basically a web based platform with which we have targeted the idea of online commerce but have given significant importance to local markets. From introduction to the scope as well as all the technical information has been added in this document to provide the readers a sufficient overview about the working and development of the project.
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    Online application for medical field
    (UMT Lahore, 2015) Waqas Ali; Muhammad Salman Abid; Mamoona Zafar
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    Quick mart
    (UMT.Lahore, 2025) Waqas Ali; Mamoon Ayoub; Amna Shah; Muhammad Ali
    QuickMart is a smart, Al-powered e-commerce platform developed to enhance the onlinegrocery shopping experience in Pakistan. The primary objective behind building QuickMart wasto address common inefficiencies in traditional e-commerce systems such as delayed customersupport, stock mismanagement, and poor user engagement-by leveraging modern webtechnologies and artificial intelligence. At its core, QuickMart is designed to provide a seamless,real-time shopping experience that benefits customers, vendors, administrators, and deliverypersonnel alike.One of the standout features of QuickMart is its integration of an Al-powered chatbot thatprovides instant customer support on the platform. Unlike conventional systems where usershave to wait for a representative, QuickMart's chatbot is available 24/7 to answer queries, guideusers, and help resolve common issues in real-time. Another key innovation is the demandforecasting module. Using Al models and historical sales data, the system can predict productdemand in advance, allowing vendors and admins to manage inventory more accurately andreduce losses from overstocking or stckouts.The system is built using a modern MERN (MongoDB, Express.js, React.js, Node.js) stack, withadditional technologies like Firebase for real-time otifications and Socket.IO for real-timecommunication. A role-based ashboard ensures that every user-whether a customer, vendor,admin, or ider-has access to a personalized interface tailored to their needs. stomers anregister, browse products place orders, and track their deliveries in real ime. Vendors manageinventory, receive stock predictions, and monitor salesanalytics, while riders update deliverystatuses and communicate with ustomers and admins