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

  • 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 ...
  • Thyroid Detection Model Using Support Vector Machine and Decision Tree 
    Uniza Asad, 01-243172-034 (Computer Sciences BUIC, 2019)
    As in the past few years’ technology is growing rapidly and healthcare is particularly one of them. Different methods have been proposed to predict the current nature of thyroid which includes samples through blood, fine ...
  • Deep Recurrent Computation Model for Prediction on Time Series Data 
    Muhammad Haroon Akram, 01-243171-034 (Computer Sciences BUIC, 2019)
    In this century, deep learning has been applied for many research areas after accomplishing considerable improvements of prediction in solving complex problems in computer vision and computational linguistics area. However, ...
  • Automation Testing Suitability Checking for Software Projects - A Machine Learning Based Model 
    Muhammad Nouman Noor, 01-243172-020 (Computer Sciences BUIC, 2019)
    Software testing is an activity conducted to test the software. It has two approaches; manual testing and automation testing. Automation testing is an approach of software testing in which programming scripts are written ...
  • Nuclei spotting using deep learning 
    Syed Abdul Basit, 01-243172-032 (Computer Sciences BUIC, 2019)
    Identification and classification of nuclei from microscopy is vital to new pharmaceutical developments. Biologist lacks a robust and efficient way to detect nuclei to natural variation in their appearances as well as ...
  • Ship Detection from Satellite Images 
    Aaqib Mehran, 01-243172-045 (Computer Sciences BUIC, 2019)
    Detecting ships from satellite images is a challenging task in the remote sensing. It is very important for security, traffic management and to avoid smuggling etc. SAR (Synthetic Aperture Radar) is mostly used technology ...
  • 3D Vectorization and Generation using Generative Adversarial Networks 
    Aamir Fayyaz, 01-243172-001 (Computer Sciences BUIC, 2019)
    Generating and understanding the 3D shape of objects in the world is a crucial step for many areas of robotics. Across object categories, shapes are used for classification. Within each category, fine shape details and ...
  • Emotional State Prediction through Handwriting Analysis 
    Hafiza Ghazal Shahid, 01-243172-048 (Computer Sciences BUIC, 2019)
    Negative Emotions can cause serious health issues and detection of them through daily activities is good for wellbeing .Handwriting and drawings are the activities which requires no specific devices only pen and paper is ...
  • Handwriting Recognition for Cursive Scripts: A Case Study on Urdu Text 
    Shahbas Hassan, 01-243172-029 (Computer Sciences BUIC, 2019)
    Recognition of cursive handwritten text is a complex problem due challenges like context-sensitive character shapes, non-uniform inter and intra word spacings, complex positioning of dots and diacritics and very low ...
  • Image Based Plant Disease Detection- A deep Learning Approach 
    Sikandar Hayat, 01-243172-049 (Computer Sciences BUIC, 2019)
    Identification of plant disease is beneficial not to protect plants from diseases but also to increase the budgetary advancement of a country. The study of plant disease identification means the study of visually pattern ...
  • Identification of Author - Based on semantics and syntactic features 
    Muhammad Hassan Abbas, 01-243172-019 (Computer Sciences BUIC, 2019)
    Author identification is now a big research area from the last one decade. Author identification is figuring out the author of any given text, paragraph or big novels etc. Basic concern of it is to show the real author of ...
  • Distracted Driver Detection Using Deep Learning 
    Muhammad Ahsen Taqi Kazmi, 01-243162-021 (Computer Sciences BUIC, 2019)
    Distracted drivers are the main cause of road accidents in today's world. With the technological revolution, there are hundred of gadgets and devices that can gain the attention of a driving person and may cause serious ...

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