Department of Computer Sciences (BUIC-E-8): Recent submissions

  • 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 ...
  • Hybrid Nanofluid Squeezing Flow with Hall Current and Nonuniform Source/Sink 
    Maham Rehman, 01-248192-003 (Computer Sciences BUIC, 2021)
    This study aims to investigate unsteady hybrid nanofluid squeezing flow based engine oil as base fluid, suspended in the midst of two revolving extensible disks with copper (Cu) and Gold (Au) as nanoparticles. Disks are ...
  • Impact of Hall Current and Ion Slip on a Hybrid Nanofluid Flow with Nonuniform Source/Sink 
    Maryam Afsar, 01-248192-004 (Computer Sciences BUIC, 2021)
    The current research scrutinizes the effects of Hall current and Ion slip impacts on a steady three-dimensional flow of hybrid nanofluid induced by bi-directional sheet stretching. Zinc oxide (ZnO) and Gold (Au) nanoparticles ...
  • Hybrid Nanofluid flow with Modified Fourier Law in a Rotating frame 
    Noor Us Saba, 01-248192-005 (Computer Sciences BUIC, 2021)
    This study aims to investigate time independent rotating frame of hybrid nanofluid flow-based ethylene glycol consisting of copper (Cu) and copper oxide (CuO) amidst two horizontal parallel plates. The upper plate is porous ...
  • Predicting Drug Chemical Interactions Using Deep Learning 
    Waqar Kaleem Khan, 01-249191-013 (Computer Sciences BUIC, 2021)
    Drug-drug interactions (DDis) are one of the crucial concerns in pharmaceutical research. In the past decade, many researchers developed some machine learning based methods, but these ML methods focus on whether two drugs ...
  • On The Fly Object Category Learning 
    Afan Haidar, 01-249192-004 (Computer Sciences BUIC, 2021)
    Image search methods (for example, Search On Google), rely on text features. This results in uncertain and noisy outcomes. Robots are getting more intelligent, efficient, and capable of completing more challenging tasks, ...
  • A Secure Data Management Framework for Vaccine Supply Chain Using Block chain 
    Muhammad Rehman, 01-247192-016 (Computer Sciences BUIC, 2021)
    In the pharmaceutical industry, problems like counterfeit drugs including vaccines, and their supply chain management problems like transparency, immutability, and traceability exists. Around 30% of the total medicine sold ...
  • 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 ...
  • A lightweight Security Mechanism for Wireless Sensor Network by Using Cypher Technique 
    Aizaz Raziq, 01-247192-002 (Computer Sciences BUIC, 2021)
    Wireless Sensor Networks (WSN) are dedicated sensor nodes based connected network for data sensing and further transmit to the end devices for decision making. The sensor nodes are using advance communication technologies ...
  • 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 ...

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