MS (CS) (BUIC-E-8): Recent submissions

  • Gait Recognition Using View Co-Variate on a Dataset of High Intra-Class Covariance 
    Basit Ismail, 01-243182-006 (Computer Sciences BUIC, 2020)
    Gait is an important biometric for identification of people and it is also more difficult to conceal. It is applied in various forensics techniques because the gait of each person varies significantly from others and it ...
  • Classification of Real and Ai-Generated Fake Faces Using Deep Learning 
    Sidra Kanwal, 01-243182-018 (Computer Sciences BUIC, 2020)
    Generative adversarial network has gained popularity mainly due to its ability to create realistic fake human faces. The remarkable detail with which such images have been created in the past few years has exceeded the ...
  • Ontology Model for Web Development Frameworks 
    Afnan Siddique, 01-243162-001 (Computer Sciences BUIC, 2019)
    There are multiple scripting and programming languages for Web Development. To shift from one language to another, it uses various methods on which some work has been done but it leads to errors. Various parsing techniques ...
  • A Topic Extraction Approach for Clustering Documents 
    Muhammad Irfan, 01-243171-022 (Computer Sciences BUIC, 2019)
    Topic extraction is an active research area in natural language processing and information retrieval. Often a topic model is trained on raw textual data for a specific goal like summarization, topic extraction and translation. ...
  • Deep Learning Based Vessels and Optical Disc Segmentation in Retinopathy Images 
    Mohsin Raza, 01-243171-021 (Computer Sciences BUIC, 2019)
    artificial intelligence-based algorithms. Eye diseases such as glaucoma is based on segmentation of optical disc and blood vessels in retinopathy images. Diabetic retinopathy is a radical eye disease and it causes of ...
  • Self-tuned Ramp Loss K-Support Vector Classification-Regression 
    Ayesha Waseem, 01-243171-018 (Computer Sciences BUIC, 2019)
    This thesis is the extension of a previous work done by Hosseini et al., Hosseini has devised an ramp-loss KSCVR algorithm which classifies dataset based on the principle of anomaly-based intrusion detection techniques. ...
  • Movies Quality Prediction Using Machine Learning Techniques 
    Waqar Ahmed, 01-243181-025 (Computer Sciences BUIC, 2020)
    Quality prediction plays an important role in the business outcome of the product. Due to business interest of the concept, it has extensively been studied in the last few years. Advancement in computational intelligence ...
  • Target Classification of Marine Debris using Deep Learning 
    Anum Aleem, 01-243182-003 (Computer Sciences BUIC, 2020)
    Marine Debris is human-created waste dumped into the sea or ocean which make the life of ocean species into danger and make environment polluted. Removal of marine debris from ocean is necessary to remove pollution and to ...
  • Title Generation of Talk Shows 
    Sobia Dastgeer, 01-243182-019 (Computer Sciences BUIC, 2020)
    An extraordinary video title describes the most notable occasion compactly and catches the watcher’s consideration. The Talk shows have manually generated titles and may be the title of video is not matched with the content ...
  • 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 ...

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