MSCS: Recent submissions

  • Adverse Drug Reaction (ADRs) Extraction Using Transfer of Learning 
    Hussain, Sajid; Supervised by Dr. Hammad Afzal. (MCS, 2020-11)
    Adverse Drug Reactions (ADRs) are significantly harmful for health. Existing studies utilize traditional and deep learning techniques to detect ADRs from the given text. Bidirectional Encoder Representations from Transformers ...
  • SEP OPTIMIZED CLOUD ORCHESTRATION IN P2P 
    Parveen, Zahida (MCS, National University of Sciences and Technology, 2014)
    In complex computing environment the management of services, middleware and their coordination is needed. Cloud orchestration is the term used in this concept to manage the resources and coordinate with the complex ...
  • DESIGN, DEVELOPMENT AND EVALUATION OF EMS (EDUCATIONAL MANAGEMENT SYSTEM) AN E-LEARNING FRAMEWORK 
    John, Suleman (MCS, National University of Sciences and Technology, 2012)
    This thesis seeks to offer an answer to the problem of how to design, implement and support information systems that effectively and efficiently support e-learning within universities. This problem is increasingly common ...
  • DEVELOPMENT OF NEW MULTI-FOCUS IMAGE FUSION TECHNIQUE 
    Sabir, Sehrish (MCS, National University of Sciences and Technology, 2016)
    To obtain useful focal content from different focal planes in the scene and fuse them into an image which has complimentary information of the source scene thus creating an all in focus focal planes is the main initiative ...
  • Green Data Centers through Power Management of Underutilized and Idle Resources 
    Akhtar, Madiha (MCS, National University of Sciences and Technology, 2014)
    Cloud computing proved to be that promising technology which enabled the world to bring resource sharing to a new level by turning the internet into a cloud. With the rise of Internet-scale systems and cloud computing ...
  • QUANTIFYING NON FUNCTIONAL REQUIREMENTS IN SERVICE ORIENTED DEVELOPMENT 
    Sadiq, Jawaria (MCS, National University of Sciences and Technology, 2012)
    Non functional requirements are considered critical element for determining quality of a software system. Despite the fact, dealing of non functional requirements has always been remained in question. Importance of non ...
  • AN EFFICIENT EDGE PRESERVING AND TEXTURE SUPPRESSION TECHNIQUE 
    Waseem, Hira (MCS, National University of Sciences and Technology, 2016)
    Edges and structures are the most essential parts of an image that contain several levels of information. Achieving an edge preserving and texture smoothing filtered output that is close to human vision is a significant ...
  • FLOOD MONITORING/DETECTION USING SAR IMAGE ANALYSIS TECHNIQUES 
    Nazir, Fakhera (MCS, National University of Sciences and Technology, 2013)
    Flood monitoring has enjoyed a recent wave of increased interest fueled by the need of disaster management, risk/damage assessment and rehabilitation process activities. Flood disaster management activities are comprised ...
  • URDU OPTICAL CHARACTER RECOGNTION SYSTEM 
    Khan, Aliya Ashraf (MCS, National University of Sciences and Technology, 2012)
    Optical character recognition (OCR) is an important research area in pattern recognition. OCR is to convert the digital image obtained through scanner to computer editable format. OCR is not only important for digitizing ...
  • CREATING AN INFRASTRUCTURE FOR SEMANTIC SEARCH OF THE HOLY QUR’AN USING ENGLISH WORDNET 
    Mukhtar, Tayyeba (MCS, National University of Sciences & Technology, 2012)
    Qur’an, being the highest authoritative source of the Divine knowledge and wisdom has been widely and deeply studied, analyzed, memorized and recited by Muslims as well as non-Muslims in the past centuries. With the ...
  • Object Detection under Various Low Light Conditions and Monitoring Social Distance during Night to Cope With Covid 19 Pandemic 
    Rahim, Adina; Supervised by Dr. Ayesha Maqbool. (MCS, 2020-10)
    The purpose of this work is to provide an effective social distance monitoring solution in low light environments in a pandemic situation. The raging coronavirus diseases 2019 (COVID-19) caused by the SARS-CoV-2 virus has ...
  • Distributed Secure Big Data Visualization Using Block Chain 
    Shahzad, Iqra; Supervised by Dr. Ayesha Maqbool. (MCS, 2020-10)
    Analysis of big temporal data is considered as prime task in many of today’s applied scenarios. Data visualization provides a comprehensive inspection and exploration of this big data. But with the huge and sheer volume ...
  • Studying Chatbot with Deep Learning 
    Javed, Sami Ullah; Supervised by Dr. Mukaram Khan (MCS, 2020-10)
    In this research, we made an effort to improve current models to get better performance for automatically replying a human query. The project is to create an intelligent chatbot for Stratford University where students’ ...
  • An Improved Content Adaptive Image Detail Enhancement 
    Rashid, Fatima; Supervised by Dr. Naima Iltaf. (MCS, 2020-09)
    In past few years, many fields of image processing along with computational photography demand of edge preserving algorithms has increased. Various edge preserving and smoothing algorithms have already been introduced. ...
  • Smart Poultry Farming using IOT 
    Iqbal, Muhammad Azeem; Supervised by Dr. Muhammad Mukaram Khan. (MCS, 2020-10)
    With increasing population the demand for food is increasing day by day. Poultry meat is considered as one of the best sources of protein worldwide. However, poultry farmers of developing countries like Pakistan are facing ...
  • Agent Based Simulation of Cooperative Surveillance 
    Shah, Tajammul; Supervised by Dr. Ayesha Maqbool (MCS, 2019-05)
    Unmanned Aerial Vehicles (UAVs) are nowadays used in many areas such as Agriculture, Defense, Civil Security, Border Surveillance, Air Traffic Control, Healthcare etc. Usage of Unmanned Aerial Vehicles has been increased ...
  • Devising Indigenous Model for Software Testing Practices in KPK Region of Pakistan 
    Latif, Bushra; Supervised by Dr. Tauseef Ahmed Rana (MCS, 2019)
    To ensure the quality of software products, the software testing process has great significance in software development and is the vital step of Verification and Validation (V&V) process. Software development companies use ...
  • Dehazing images for better visibility  
    Ahmad, Mukhtar; supervised by Dr Naima Iltaf (MCS, 2016-09)
    Image restoration is the key technique which is used to make certain that human beings as well as the critical and automated computer vision applications get quality image,free of any distortion.Haze is one of many ...
  • Recommender System using Deep Neural Networks 
    Ahmad, Zaheer; Supervised by Dr. Naima Iltaf (MCS, 2019-05)
    Recommender system helps users find items of their interest, by filtering and suggesting relevant items. Collaborative filtering (CF) is one of the key methods for personalized recommendation that models the users’ preferences ...
  • Improving the Concept Search of Quran Using Linguistic Semantic Resources and Deep Learning 
    Nisa, Badar un; Supervised by Dr. Hammad Afzal (MCS, 2019-02)
    Since Quran is the supreme source of spiritual wisdom and knowledge used for recitation, analysis and guidance among Muslims and non-Muslims. A variety of new techniques and tools related to information retrieval and Natural ...

Search DSpace


Advanced Search

Browse

My Account