Thesis/Dissertation Repository Islamabad Campus: Recent submissions

  • User Identification in Blockchain by Spatio-Temporal Fingerprints 
    Muhammad Tehseen Tahir, 01-243171-029 (Computer Sciences BUIC, 2019)
    User identification using the spatio-temporal geometries or trajectories has always been the interest of many researchers and is a very specific topic in fields related to data. Nowadays large spatio-temporal data are ...
  • Road Surface Analysis and Classification Using Smartphones 
    Nauman Aslam, 01-243172-024 (Computer Sciences BUIC, 2019)
    With the continuous increase in population and drastic urbanization trends, roads have become a key perfonnance indicator of a city's smooth running. Road safety is an important concern for every city; surface conditions ...
  • Election Results Forecasting Using Fusion of Multiple Data Sources 
    Muhammad Kashif Iqbal, 01-243181-012 (Computer Sciences BUIC, 2021)
    Forecasting political events using a variety of information sources has become a practice in the era of Big Data. Analyzing data collected from multiple sources to predict the outcome of elections has been found effective ...
  • Malicious Image Detection Using Convolutional Neural Network 
    Ahsan Iqbal, 01-243172-038 (Computer Sciences BUIC, 2019)
    In previous era, malware attacks have achieved serious heights. As information technology field strengthens, the activities of cyber-criminals are also updated. Cybercriminals always look for those methods to attack which ...
  • Test Suite Prioritization using Evolutionary Computing 
    Sara Abbas, 01-243162-014 (Computer Sciences BUIC, 2019)
    Regressing testing is way testing of software which are been updated to make sure the changes which occurred during updation or modification of software. Also ensure the modifications in code are not adversely affecting ...
  • A Text Formalization based Approach for Improved Query Response 
    Sikandar, 01-243171-014 (Computer Sciences BUIC, 2019)
    Information retrieval (IR) means automatic retrieval of required information into a wellorganized form from different sources. Early retrieval methods were ineffectual to beat the scalability and adaptability of natural ...
  • A Data Analysis Based Approach for Distributed Intrusion Detection System 
    Moaz Ahmed, 01-243172-044 (Computer Sciences BUIC, 2019)
    Software Defined Network has brought the encouraging methods of dealing with the complex network. Managing the network was not easy with traditional rules. The softwaredefined feature allows taking advantage of programmability ...
  • Hybrid VITS: Real Time Path Planning and Data Dissemination Mechanism in Urban Scenario 
    Summia Taj, 01-243172-031 (Computer Sciences BUIC, 2019)
    Vehicular Ad hoc Networks (VANETs) have fascinated remarkable interests due to their great applicability and viable significance. Path planning in VANETs based on efficient collection of real time data, which effectively ...
  • Facial Forgery Detection 
    Haider Ali Khan, 01-243172-043 (Computer Sciences BUIC, 2019)
    In the recent past, fields of computer vision and graphics have become more advanced and it is now easy to generate realistic fake videos and images. At present facial forgery techniques, such as Deepfake and Face2Face are ...
  • Demosaicking and Denoising using Deep Learning 
    Asad Saleem, 01-243171-002 (Computer Sciences BUIC, 2019)
    Demosaicking is the task of recreating full-color image from deficient images framed from overlaid color channel exhibits on image sensors present in digital cameras. And denoising is the process to remove the unwanted ...
  • Identification of Scribes from Historical Manuscripts 
    Sidra Nasir, 01-243191-012 (Computer Sciences BUIC, 2020)
    Computerized analysis of historical documents has remained an interesting research area for the pattern classification community for many decades. From the perspective of computerized analysis, key challenges in the ...
  • Evaluation of Machine Learning Frameworks Using Theoretical and Empirical Parameters 
    Muhammad Arsalan, 01-243172-015 (Computer Sciences BUIC, 2019)
    A variety of Machine Learning (ML) frameworks are being instigated to let developers build ML algorithms easily. The study include an evaluation of various Al toolkits that includes Tensor Flow, Scikit-Learn and Keras. We ...
  • Identification of Crime Scene Shoe Imprints using Deep Learning Techniques 
    Atiya, 01-243172-004 (Computer Sciences BUIC, 2019)
    Shoe prints are most commonly found evidence at crime scenes and can be used in identifying the suspects and in further investigation. A shoe print can provide different types of information which can be used for identification ...
  • Detection of DDoS Flows using Supervised Learning 
    M.Hassan Zaib, 01-243171-007 (Computer Sciences BUIC, 2019)
    Cyber-attacks have been on the rise especially after the explosive widespread of social networking as it gives cyber criminals a way to break into other's computers and manipulate personal and sensitive data. Many different ...
  • ECG- Based Arrhythmia Classification by Using Convolution Neural Network Classifier 
    Mehwish Kiran, 01-243172-011 (Computer Sciences BUIC, 2019)
    An Electrocardiogram (ECG) plays an important role in medical field for detection of cardiac arrhythmia. Moreover, ECG signal contains different types of artefacts, Power line interface, Electromyogram (EMG) Noise, Baseline ...
  • Efficient Software-Defined Big Data Collection and Analysis using Internet of Things 
    Shahbaz Ali, 01-243162-022 (Computer Sciences BUIC, 2019)
    The Internet of Things (IoT) has been widely used in big data applications, remote sensing application, intelligent transportation system (ITS), smart homes/cities and urban planning, and so on. Apparently, to provide ...
  • Cluster based Data Communication in Sparse and Dense Traffic Condition for Internet of Vehicles 
    Sh. M. Moghees Idrees, 01-243172-028 (Computer Sciences BUIC, 2019)
    Internet of Vehicle (IoV) is the parent class of vehicular ad hoc networks and has gained popularity in this decade due to various types of safety and infotainment applications. It provides comfortability and safety to ...
  • Semantic based classification of trademark cases using Naïve Bayes & SVM 
    Maha Butt, 01-243172-010 (Computer Sciences BUIC, 2019)
    Trademarks are signs that are utilized in exchange to recognize items or administrations. They have turned out to be intangible intellectual property (IP) resources that enable merchandise or administrations to be effectively ...
  • Implementation of A domain based distributed mobility control scheme in LISP Networks for IoT devices 
    Muhammad Ansar Bukhari, 01-243171-038 (Computer Sciences BUIC, 2019)
    Internet of Things devices are for the most part Mobile Nodes that need M o b i l i t y Management Protocols (MMPs) to be set up, to give straightforward administrations some problems, difficulties affect, correspondence ...
  • Legal Text Document (i.e. Trademark Ordinance) Categorization using Ontology 
    Sadaf Shahid, 01-243172-026 (Computer Sciences BUIC, 2019)
    Text categorization has been done vastly in different domains such as sp011s, food, law, politics, fashion etc as they are enrich with a lot of useful information. Legal text categorization has been performed by many authors ...

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