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The Virtual University, Pakistan’s first University based completely on modern Information and Communication Technologies, was established by the Government as a public sector, not-for-profit institution with a clear mission: to provide extremely affordable world class education to aspiring students all over the country.

Using free-to-air satellite television broadcasts and the Internet, the Virtual University allows students to follow its rigorous programs regardless of their physical locations. It thus aims at alleviating the lack of capacity in the existing universities while simultaneously tackling the acute shortage of qualified professors in the country. By identifying the top Professors of the country, regardless of their institutional affiliations, and requesting them to develop and deliver hand-crafted courses, the Virtual University aims at providing the very best courses to not only its own students but also to students of all other universities in the country.


Introduction

VSpace is a growing collection of Virtual University’s research that includes peer-reviewed articles, technical reports, working papers, theses and more. This electronic repository contains selected theses and dissertations of Masters and PhD students from all VU departments. The end users can search, navigate and download these publications using this website.



Latest Thesis
 

ENHANCING ANDROID SECURITY: REINFORCEMENT LEARNING-DRIVEN STATIC APPROACH FOR DETECTION AND RESILIENCE OF MALICIOUS APPLICATIONS

SEHAR BABAR (Issue Date : 24-12-2024)

Android is most considerably used mobile operating system, making it principal target. Android devices are popularized due to availability at reasonable prices. Malwares can perform vicious actions similar as data theft, privacy irruption, and system...


Route Optimization for IoT Networks with Reinforcement Learning

ATIF MANZOOR (Issue Date : 20-11-2024)

The Internet of things is changing different industries to improve the interactions between devices to facilitate automation, monitoring, and analysis. However, routing within IoT networks is not a problem that can be easily solved due to some factor...


TECHNOLOGY AS A TEACHING AND LEARNING PLATFORM FOR MATHEMATICS

Tahir Ramzan (Issue Date : 20-11-2024)

There are no magics or miracles, but mathematics is the key to compete with contemporary world of science & technology and research & development. Teaching and learning processes have vital importance in the education of mathematics. Teaching of ...


Improving Distributed Denial Of Service Attack Detection With Spatio-Temporal Characterization Awareness

MUHAMMAD ALI (Issue Date : 13-11-2024)

Detection and avoidance of denial-of-service (DoS) attacks are essential to ensure continuous and reliable service delivery over networks. Several existing methods in the literature allow the detection and prevention of such attacks. However, with th...


MEDIATING ROLE OF WORK ENGAGEMENT BETWEEN ROLE STRESSORS AND CAREER TRANSITION INTENTIONS: A STUDY OF THE DAIRY SECTOR IN LAHORE, PAKISTAN.

Erum Rehman (Issue Date : 11-11-2024)

The rising trend of major social and economic transformations has made professional mobility a widespread issue. Due to increasing drift of the dairy sector of Pakistan towards structural and strategic integrations and subsequent rise of ambiguities,...


AN AUTOMATED APPROACH FOR GENERATING MVC BASED SOURCE CODE FROM UML CLASS AND SEQUENCE DIAGRAMS

ADNAN NAZIR (Issue Date : 11-11-2024)

The significance of automatically generating source code from UML diagrams has been on the rise due to its numerous benefits, such as cost-effectiveness and improved reliability. This automated process reduces the likelihood of human errors and discr...


SPECTRAL METHODS TO STUDY THE NUMERICAL SOLUTIONS OF FRACTIONAL ORDER DIFFERENTIAL EQUATIONS IN CAPUTO SENSE

AMMARAH MARRIYAM (Issue Date : 30-10-2024)

The aim of this study is to solve numerically the Caputo fractional initial value problems. For this purpose, we extend the Spectral methods to fully operational matrices approach which is indeed a new approach to solve Caputo fractional initial valu...


OPTIMIZING NEURAL NETWORK WEIGHTS FOR SHORT-TERM SOLAR IRRADIANCE FORECASTING USING ADAPTIVE MOMENT ESTIMATION (ADAM) AND CUCKOO SEARCH ALGORITHM (CSA)

MUHAMMAD JIBREEL SAMMAR (Issue Date : 22-10-2024)

The ever-increasing power demand and environmental implications lead to the uses and integration of Renewable Energy Sources (RES) with the electric grid. Intermittent availability of RESs further demands reliable and accurate forecasting for better ...


A MACHINE LEARNING BASED FRAMEWORK FOR CROSS PROJECT SOFTWARE DEFECT PREDICTION

MUHAMMAD SALMAN SAEED (Issue Date : 15-10-2024)

Software defect prediction is an important part of software development as it aims to recognize possible defects early in the software development life cycle. Traditional defect prediction models often rely on project-specific data, limiting their ap...


PREDICTING STUDENT PERFORMANCE IN E-LEARNING SYSTEMS BASED ON STUDENT ENGAGEMENT AND ASSESSMENTS

MUHAMMAD AHSAN SALEEM BAIG (Issue Date : 20-08-2024)

Online tools such as Learning Management Systems (LMS) and Virtual Learning Environments (VLEs) provide a flexible and cost-effective platform for online education. However, a significant challenge in e-learning systems is the lack of direct, real-ti...


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