MSCS: Recent submissions

  • Improved Copy Move Image Forgery Detection Techniques 
    Unknown author (MCS, 2022-08)
    In this revolutionized world where images are being used as proofs, image authentication has become a challenge today. Easily available image editing tools and softwares have made it easy for people to forge an image. Some ...
  • A Devops based Process Model for Critical Systems 
    Abdullah, Arooba; Supervised by Dr. Tauseef Ahmad Rana (MCS, 2022-08)
    In the past decade, there has been an increased emphasis on software development processes that attempt to link engineers with their deployments in a single system. This trend has given rise to two camps: continuous ...
  • Hyperparameters Optimization of Machine Learning Algorithms 
    Siddique, Saba; Supervised by Dr. Asim Dilawar Bakhshi (MCS, 2022-08)
    Machine learning algorithms have been widely used in various applications and areas. Hyper-parameters of machine learning models must be optimized in order to fit them into various problems. Performance of machine learning ...
  • A Deep Learning Framework for Low Light Image Enhancement 
    Zainab, Laraib; Supervised by Dr. Hammad Afzal. (MCS, 2022-08)
    Images captured in low-light conditions typically suffer from a variety of inevitable degradations. The enhancement is made more difficult by the unpredictability of the imaging environment. Inadequate illumination is ...
  • Detection and Analysis of Mental Health Illness using Social Media 
    Qayyum, Rabia; Supervised by Dr. Hammad Afzal. (MCS, 2022-08)
    realizes his or her own potential, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to her or his community”. Mental disorders not only affect the mental ...
  • Classification System for Driver’s Emotion based on Deep Learning 
    Tauqeer, Mariya; Supervised by Dr. Saddaf Rubab (MCS, 2022-06)
    Distracted driving is one of the major reason of accidents in the world in which driver is indulged in other activities and is driving abstractedly which may lead to accident. Many drivers are overconfident and are ignorant ...
  • Digital Dive in Data Management of Govt. Educational Institutions for Induction of Smart-Monitoring 
    Javaid, Iqra Nazish; Supervised by Dr. Saddaf Rubab (MCS, 2022-07)
    Government schools are producing enormous amount of data on daily basis which is being managed and monitored in paper-driven setup. However, this paper driven setup is prone to inaccuracy and inconsistency in records. Hence ...
  • Detection of Fake Apps Through Hybrid Machine Learning and NLP techniques 
    Mubashir, Muhammad; Supervised by Dr. Hammad Afzal. (MCS, 2022-05)
    Now a days everyone is using the smart phones, there is a need of various applications to be installed on the smart phones. So, there are 3.48 million apps on google play store. Apps demand is increasing day by day. Apps ...
  • Towards Creation of Adversarial Attacks for Textual Data from Diverse Domains 
    Ali, Maira; Supervised by Dr. Hammad Afzal. (MCS, 2022-05)
    Deep learning is the foundation for various applications, including decision support, fraud detection, text categorization, machine translation, market research, and customer segmentation. Despite their widespread use, ...
  • Framework for Measuring Functional Requirement of SRS 
    Kanwal, Shehla; Supervised by Dr. Fahim Arif. (MCS, 2022-04)
    Requirement gathering is the first step of any software development process. A Software Requirement Specification (SRS) is a document which collectively represents all requirements of a project which software must include. ...
  • Deep Learning based Intrusion Detection Technique 
    Naveed, Muhammad; Supervised by Dr. Fahim Arif. (MCS, 2022-02)
    Intrusion detection system classifies the network traffic to normal and anomaly on the basis of features feeded in classification model. Intrusion detection system monitors and detects unusual traffic on network that have ...
  • Smart Cricket team selection for Pakistan cricket team using Machine Learning & IoT 
    Shafique, Misbah; Supervised by Dr. Yawar Abbas Bangash. (MCS, 2022-01)
    Cricket is a renowned and most popular game not only in Pakistan but in the world as well. The passion of cricket in Pakistan is to the extent of obsession. The success of the team depends on the best selection of the ...
  • Deep Learning Based Hybrid Approach for Shelves Monitoring and Planogram Compliance in Retails 
    Saqlain, Mehwish; Supervised by Dr. Saddaf Rubab (MCS, 2022-01)
    In retail management the continuous monitoring of shelves to keep track of the availability of the products and following proper layout are the two important factors that boosts the sales and improve customer’s level of ...
  • Classification of Legitimate and Compromised Data Inside IoT Environment Based on Machine Learning 
    Nazir, Shahid; Supervised by Dr. Yawar Abbas Bangash. (MCS, 2022-01)
    Internet of things is a technology where the physical objects are connected over the internet to carry out different functions. IoT objects are embedded with software, sensors, and other technologies for exchanging data ...
  • Cultural Influence on Requirements Engineering and Its Impact on Software Quality 
    Ullah Khan, Sami; Supervised by Dr. Yawar Abbas Bangash. (MCS, 2022-01)
    Requirements engineering is the most critical phase of any software. If the requirements are correctly elicited, gathered, and then propagated, the software's success chances get high. Like other critical technical aspects ...
  • Dimensionality Reduction of IoT Data to Optimize Storage and Communication Costs in IoT Based Systems 
    Rashid, Lubaba; Supervised by Dr. Saddaf Rubab (MCS, 2022-01)
    Internet of Things (IoT), being a global infrastructure, is expected to improve the quality of life. It has a potential to bring intelligent solutions in many different domains such as in the health industry, smart homes, ...
  • Detailed Analysis of KANBAN; Current Scenario and Future Perspectives 
    Kamal, Fizza; Supervised by Dr. Fahim Arif. (MCS, 2021-11)
    Every software development team thrives for success by managing the workflow and team coordination for timely product delivery with optimum customer satisfaction. Although not a new concept, agile is a requirement for ...
  • Optimal Controller's Placement inside SDN environment via Machine Learning Technique by Faiza Murtaza 
    Murtaza, Faiza; Supervised by Dr. Hammad Afzal. (MCS, 2021-10)
    In recent years, Software Defined Networking (SDN) has emerged as a pivotal element in various networks. The prominent feature of software-defined networking is the separation of two planes that were tightly coupled in ...
  • Emotion Recognition using Sentiment Analysis of Covid-19 Vaccine Tweets 
    Andleeb, Asma; Supervised by Dr. Naima Altaf. (MCS, 2021-10)
    With the growing availability and popularity of opinion-rich resources such as twitter, new challenges arise as people actively use information to seek out, communicate and understand the opinions of others. COVID-19 is a ...
  • Depression Detection using Machine Learning Techniques 
    Nadeem, Aleena; Supervised by Dr. Hammad Afzal. (MCS, 2021-10)
    Social media has proven to be a great platform for people to express their emotions and feelings. Thus, a user’s social media can speak a great deal about their emotional state, feelings and mental health. Depression is ...

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