• Modeling Interaction Using Trust and Recommendation in Pervasive Computing 

  iltaf, Naima (2025-02-20)

  Pervasive compudng is characteri zedbylarge numbers of roaming entities and sence of the ab_ a globally available fixed infrastructure. In such an environment entities need to collaborate with little known or even unknown ...
• EEG Based Early Alzheimer Detection Using Artificial Intelligence 

  Zaman, Nasir (MCS, 2025-02-20)

  Alzheimer’s disease is a chronic disease which is characterized by the gradual loss of cognitive functions and the impairment of the ability to perform activities of daily living. This paper presents a new approach for ...
• A Pragmatic Framework for Component (Source Code) Retrieval 

  Bibi, Nazia (MCS, 2024-07-26)

  In software development, the availability of useful and adaptable programming components or source codes is crucial. Traditional information retrieval techniques fall short in code search, as these require bridging the ...
• Mining Crowd Sourcing Repositories for Open Innovation in Software Engineering 

  Anwar, Zeeshan (MCS, 2024-07-09)

  Software has expanded beyond computers to become an integral component of our daily lives. In spite of being a pivotal discipline, Software engineering, a relatively new discipline when compared to other engineering ...
• Diagnosis of Plant Diseases using Image Processing and Machine Learning 

  Zainab, Naureen (MCS, 2024-03-19)

  Citrus canker is a devastating bacterial disease affecting citrus trees and has significant economic implications for agriculture. The timely identification and precise diagnosis of citrus canker are critical components ...
• Development of Efficient Frame(s) Encryption Techniques 

  Farooq, Maemoona (MCS, 2023-10-27)

  The protection of personal information is of utmost significance in today’s digitally connected society. In this digital era, encryption is seen as a rapidly developing trend. Despite the development of sophisticated ...
• A WEB OF THINGS ARCHITECTURE FOCUSING ON TRUST 

  Javaid, Sabeen (Military College of Signals, (MCS),NUST, 2019)

  Trust has a significant impact on our personal and business relations. It is noteworthy that in the era of things based services, people trust in various companies/organizations for personal and business purposes. They ...
• The Impact of Business Analytics in Information Security Risk Management 

  Naseer, Ayesha (MCS, 2023)

  The organizations protect information resources and maintain competitive advantage by using risk driven and controlled centered security management systems. These systems are very useful in the prevention of threats that ...
• Image Description using Deep Learning 

  Usman Zia (MCS, 2022-12)

  Internet technologies are generating enormous amount of data that merges textual and visual content: tagged images, descriptions in newspaper, videos with captions, and social media feeds. Such interaction with technology ...
• Development of Improved Saliency Detection Techniques 

  Kanwal, Maria; Supervised by Dr. Abdul Ghafoor (MCS, 2022-10)

  Saliency is the perceptual quality by which an observable thing or object stands out relative to its environment. It is that property by which some object stands out. Accurate detection of salient object is a challenging ...
• Machine Learning Based Intrusion Detection System for IoT Networks 

  Ashraf, Javed; Supervised by Dr. Hasnat Khurshid (MCS, 2021-12)

  The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast proliferation in many areas such as wearable devices, smart sensors, smart cities, autonomous vehicles, and home appliances. IoT ...
• Development of Enhanced Image Dehazing Techniques for Security and Surveillance 

  Baig, Nasir; Supervised by Dr. Adil Masood Siddiqui. (MCS, 2021-09)

  Image enhancement is very important element in forensic security and surveil- lance applications. Image enhancement is a technique which removes artifacts in image and improves the quality of information in image using ...
• Development of New Image Fusion Techniques 

  Iqbal Ch, M Munawwar; Supervised by Dr. Naima Iltaf. (MCS, 2020-07)

  The image fusion process aims to combine the crucial information from multiple images obtained from different resources. Numerous image fusion techniques are proposed to achieve better fusion accuracy however they generally ...
• Development of New Content Based Image Retrieval Techniques 

  Sukhia, Komal Nain; Supervised by Abdul Ghafoor (MCS, 2020-06)

  The exponential increase and wide accessibility of visual content on internet have led to research in the field of image retrieval and search. Image retrieval has been broadly categorized into content based image retrieval ...
• Development of Accurate Image Matting Techniques 

  Amin, Benish; Supervised by Dr Abdul Ghafoor. (MCS, 2020-03)

  Accurate extraction of foreground objects from various kinds of images/ video sequences is significant yet challenging task in digital image processing. It is an active research area and has diverse applications that ...
• Development of Crowd Behavior Analysis Techniques 

  Javid, Rakhshanda; Supervised by Dr. Naveed Iqbal Rao. (MCS, 2019-08)

  Automation of behavior analysis of crowds is a challenging task due to the density variations, occlusions, context, and scene variability. This dissertation aims to address different challenges in image as well as videos ...
• Automation of software modeling and verification 

  Sultana, Sidra; Supervised by Dr. Fahim Arif (MCS, 2018-01)

  Formal methods help in quantifying the functional and nonfunctional requirements that are later used in the verification process for safety assurance in real-time systems. System formalism is a crucial step in terms of ...
• Analysis and retrieval of scanned documents using word spotting techniques 

  Hussain, Muhammad Rashid; Supervised by Dr. Asif Masood. (MCS, 2017-01)

  Writing is a codified system of standard symbols: the repetition of agreed-upon simple shapes to represent ideas. Language using symbols is assumed to be universal which is easier to interpret and efficient to use. Handwriting ...
• Urban planning using big data analytics based internet of things 

  Babar, Muhammad; Supervised by Dr. Fahim Arif (MCS, 2018-11)

  The recent expansion in the field of Internet of Things (IoT) and Big Data is providing a large production potential in the course of the new era of smart urban. The IoT infrastructure for the design of smart urban consists ...
• Modeling and verification of real-time and hybrid system 

  Basit Ur Rahim, Muhammad Abdul; Supervised by Dr. Fahim Arif (MCS, 2017-09)

  The graphical modeling languages (UML and SysML) play an important role in designing the system engineeringapplications. In the field of software and system engineering, these languages are considered as the benchmark for ...

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