MS: Recent submissions

  • POSITION BASED SENTENCE SEARCH FOR ENCRYPTED UNSTRUCTURED DATA IN CLOUD ENVIRONMENT 
    FAKHAR, M ZAMAN (College of Electrical & Mechanical Engineering (CEME), NUST, 2013)
    Over recent years cloud computing has attained foremost commercial success. Cloud computing minimizes resource wastage risk by reducing the entrance barrier for cloud service providers. By extensive usage of cloud services ...
  • EXCHANGING DATA FROM INSTITUTIONAL REPOSITORIES TO THE SEMANTIC WEB 
    Farid, Humaira (College of Electrical & Mechanical Engineering (CEME), NUST, 2013)
    Internet and semantic web technologies have enabled academics to find online research materials with increasing speed and accuracy. They have enabled academics to make connections with each other. Whereas, institutional ...
  • EFFORT ESTIMATION OF COMPONENT BASED SOFTWARE DEVELOPMENT 
    Khan, Jahanzaib (College of Electrical & Mechanical Engineering (CEME), NUST, 2013)
    In this era, no one denies the importance of software reuse because software systems are growing and becoming complex with every passing day. Component Based Software Development (CBSD) emerged as a software creation ...
  • Investigation of Agile methodology adaptation & implementation at Global and National Software Industry 
    Altaf, Areebah (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Agile practices are considered as a major attraction for global software development (GSD) projects owing to its flexible nature. With every passing day, agile methodologies are gaining enough acclaim across the globe ...
  • Automated Conflicts Detection of Software Requirements using Natural Language Processing 
    Arshad, Aleena (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Contradictory and inconsistent sentences in a set of requirements are known as conflicting requirements. In the Requirements Engineering phase of Software Development Life Cycle (SDLC) software requirements are gathered, ...
  • Automated Urdu Speech Recognition System using Deep Learning 
    RASHED, WAQAS (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    A computer needs to be able to understand what you said, before it can even understand what you mean and it encompasses Natural Language Processing (NLP). There are limited open source speech recognition systems are ...
  • Twitter Gender Classification using Convolutional Neural Network 
    Khan, Asfandyar Nasim (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Lately, social media has become one of the favorite topics of fields like Data Science, Machine Learning, Data Mining, Big Data, and Natural Language Processing. This is due to the fact that data is abundantly present ...
  • Automatic Detection of Ambiguous Software Requirements Using Natural Language Processing 
    Riaz, Muhammad Qasim (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Use of the software based systems has increased very rapidly in last few decades. A number of rules, processes and standards are developed to bring accuracy and ease in software development process. Inspite of it the ...
  • Intelligent Data Acquisition Framework of Terrorist Attacks Using Natural Language Processing 
    Uzair, Muhammad (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Eradicating terrorism using state of the art technologies has proved to be an active area of research with the increase in the incidents involving terrorism. It has been observed that the terrorism incident data available ...
  • Automated Code Smell Detection using Metrics Based Approach 
    Farooq, Sidra (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Business now a days completely rely on software systems for this vary reason, software system are becoming more and more complex with time. And for this software system are continuously subjected to rapid change to ...
  • Application of Machine Learning in Digital Communication 
    SUFIAN, MUHAMMAD (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Digital communication depends on channel coding for the integrity and correct reception of the data. The traditional communication techniques ignore the context and content associated with the received data while mitigating ...
  • A FRAMEWORK FOR ANDROID MALWARE DETECTION AND CLASSIFICATION 
    NAQVI, MUHAMMAD MURTAZA AMIR (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    The android platform is that the fastest growing hand-held OS package. And it’s really become the foremost appealing and practical objective of malevolent applications. Android malware growth has been increasing significantly ...
  • Efficient Discrete Cosine Transform (DCT) coefficients for Images Using Deep Learning 
    Khan, Zirak (College of Electrical & Mechanical Engineering (CEME), NUST, 2019)
    Digital audio, videos and images corresponds to huge amount of data. The storage and transmission of this data requires significant amount of bandwidth and memory respectively. Compressing this digital data is a field ...
  • Deep Learning Based Decision Support System 
    Khan, Younas (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    Heart diseases are amongst the leading causes of death worldwide. Death becomes certain if heart diseases are not diagnosed in the early stages. It has been causing death irrespective of age, gender or any other demographics. ...
  • Code Obfuscation Techniques for Software Protection 
    Khan, Marrium Aziz (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    In the need of reinforcing the digital improvement, software application transforms into the most appealing bit of the propelled world. So its common trend to dispense mobile application in such structure that are ...
  • CONTINUOUS BLOOD GLUCOSE MONITORING, BLOOD GLUCOSE LEVEL PREDICTION AND INSULIN SUGGESTION FOR DIABETIC TYPE 1 PATIENTS OR ARTIFICIAL PANCREAS (AP) 
    Asad, Muhammad (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    Diabetes type 1 is a chronic disease which is increasing at an alarming rate throughout the world. Studies reveal that the complications associated with diabetes can be reduced by proper management of the disease by ...
  • A Model Driven Framework for the Development of Multi-Platform Mobile User Interfaces 
    Khan, Mehreen (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    Since the emergence of mobile devices, the architecture of mobile applications have been transformed significantly and its complexity has grown enormously. In such mobile applications, the User Interface (UI) is an ...
  • Model-based Data Synchronization Framework for Data-driven Serverless Applications 
    Samea, Fatima (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    Serverless Computing is a new approach to cloud computing in which the cloud provider dynamically manages the allocation of machine resources. The recent trend in writing serverless applications mainly addresses the web ...
  • A Model-Driven Framework for Process Control Alarms with Mobile Client Support 
    Tufail, Hanny (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    In the past decade, the industrial control systems have experienced rapid changes due to the continuous advancements of software technology. The domain of alarm systems is undergoing deep interest in the research community ...
  • A Model-Driven Framework to Develop Mobile Human Machine Interface (HMI) Screens for Industrial Control Systems 
    Qasim, Iqra (College of Electrical & Mechanical Engineering (CEME), NUST, 2018)
    In the past decade, the Industrial Control System (ICS) has experienced rapid changes due to the continuous advancements of software technology. The interface between human operators and industrial machines i.e. Human ...

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