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

  • Energy Efficient Multi-Hop Cluster Based D2D Communication for Catastrophic Area. 
    Imran Hussain, 01-243201-015 (Computer Sciences BUIC, 2022)
    Earth has been experiencing different types of disasters since time immemorial, causing death and destruction (to all types of infrastructure). Different parts of the world have been devastated by cyclones, earthquakes, ...
  • Adaptive Traffic Monitoring Using eBPF 
    Mubbashir Adnan, 01-243201-014 (Computer Sciences BUIC, 2022)
    The development of new technologies and their usage has opened new horizons for monitoring and analyzing network traffic. Modern solutions like Extended Berkeley Packet Filter eBPF show clear distinction between conventional ...
  • Classifying Misinformation at Social Media Using Supervised Learning. 
    Qadeer Hashir, 01-243201-009 (Computer Sciences BUIC, 2022)
    The spread of internet and the technological growth have caused a huge effect on social interactions. Nowadays, the way of communication for a person is social media, it has become progressively popular, information can ...
  • Digital Paleographic Analysis for Classification of writing styles. 
    Hassan Sajjad, 01-243201-004 (Computer Sciences BUIC, 2022)
    Computational analysis of ancient historical documents has been an interesting area of research for the pattern recognition community for many decades. Identifying the documents based on the structural similarity between ...
  • Secure CoAP-based Group Mobility Management in the Internet of Things. 
    Tajamul Shahzad, 01-243192-012 (Computer Sciences BUIC, 2021)
    In the current age as many types of embedded devices or sensor have been introduced to Internet of Things (IoTs) so, the Protocol named CoAP has been widely used. The critical issue based on web in IoTs environment was ...
  • Optimized Data Offloading and Placement in Edge Computing. 
    Syeda Iqra Gillani, 01-243192-011 (Computer Sciences BUIC, 2021)
    When comparing conventional distributed computing like the grid and clustering, cloud computing is more actives with e- cient and low scienti c work ow costs. Every scienti c work requires massive data sets located in ...
  • Enhanced Novel Architecture of Proxy‐LMA Mobility Management Scheme for Software‐Based Smart Factory Networking 
    Kashif Aman, 01-243192-004 (Computer Sciences BUIC, 2021)
    Smart Factory (SF) needs communication between manufacturing area and factory floor and connectivity with IT office simultaneously. in such case, a scenario of heterogeneous network may occur. in available literature, ...
  • An Effective Authentication Scheme for Vanet 
    Ayesha Aslam, 01-243192-003 (Computer Sciences BUIC, 2021)
    During recent years, the auto industry has improved vehicle performance and security compared to other industries. Vehicular Ad-hoc Network (VANET) is a subset of Mobile Ad hoc Networks (MANET) which supports Vehicle-to-Vehicle ...
  • Deep Feature Learning for Visual Question Answering 
    Saman Yasmin, 01-243192-009 (Computer Sciences BUIC, 2021)
    Visual Question answering (VQA) task is an emerging challenge for the computer vision experts, these models can predict an answer about the asked question. The models are capable of relating a question with the image to ...
  • Consensus in IOT Devices: A Blockchain Based Supply Chain Case Study 
    Muhammad Anas Baig, 01-243192-005 (Computer Sciences BUIC, 2021)
    The hybrid of the blockchain and IoT solves numerous problems of centralized IoT devices network and provides an environment based on decentralization, heavy fault tolerance, improved security, and transparency for the ...
  • Post-Processing and Classification of Urdu News Ticker Text from Raw OCR Output 
    Ubaid Ur Rahman, 01-243192-013 (Computer Sciences BUIC, 2021)
    Recognition of text in non-cursive scripts has received significant research attention in the recent years. Thanks to the recent advancements in different areas of deep (machine) learning, robust end-to-end recognition ...
  • An Efficient Scheme for Extractive Summarization of Text 
    Hira Tauseef, 01-243182-009 (Computer Sciences BUIC, 2021)
    The abundance of online information may be the best and worst thing that has happened in the past decade. The overwhelming amount of information may be a lot for the consumers to absorb and retain. Various methods have ...
  • Analyzing Taxation Data Using Machine Learning Techniques 
    Muhammad Wajahat Abbasi, 01-243172-013 (Computer Sciences BUIC, 2021)
    This aims to contribute to the extant literature in this field by examining nonprofit organizations’ fraud reporting compliance using classification algorithms on the basis of financial indicators. SVM (Support Vector ...
  • Multi-Class Segmentation of Organ at Risk from Thoracic Ct Images: A Deep Learning Approach 
    Muhammad Ibrahim Khalil, 01-243191-008 (Computer Sciences BUIC, 2021)
    Medical Imaging Segmentation is an essential technique for modern medical applications. It is the foundation of many aspects of clinical diagnosis, oncology and computer-integrated surgical intervention. Although significant ...
  • Lawyer Intellectual Role of Information Extraction from Legal Document 
    Usman Khalid, 01-243191-020 (Computer Sciences BUIC, 2021)
    is to create a summary which is near to human produced summaries. There are many methods emerged in last years for text summarization. These methods can be classified into three main classes, supervised approaches, ...
  • A Fast Panoptic Segmentation Network for Self Driving Scene Understanding 
    Abdul Majid, 01-243191-002 (Computer Sciences BUIC, 2021)
    In the recent years, the popularity and importance of scene understanding raised due to the progress in computer vision and image processing. Main purpose of Scene understanding is to label each and every pixel in an image ...
  • Routing Solution for Drone Assisted Internet of Vehicular 
    Syed Adeel Abass, 01-242182-009 (Computer Sciences BUIC, 2021)
    Drone assisted solutions are a demanding and popular area of research where the drones can send or collect data from ground networks. The recent Internet of Vehicles (IoV) networks has suffered from congestion issue due ...
  • Localization Using Hybrid Multiliteration Approach in Wireless Sensor Network 
    Hamniece Hafeez Siddiqui, 01-243191-007 (Computer Sciences BUIC, 2021)
    Wireless sensor networks are used in the field of civilian as well non-civilian purpose. Civilians use it for the seismic monitoring, environmental condition monitoring and condition monitoring. The coverage area of the ...
  • Indexing Multilingual Health Related Documents Improved Query Suggestions 
    Umema Arisha, 01-243 172-037 (Computer Sciences BUIC, 2021)
    Searching for Health-related Document on the internet are very common these days but find the relevant information is quite tough. The problem arises when user type query which sometimes lack proper terms and misspelling ...
  • Meaningful Data Retrieval of Legal Cases 
    Amna Ilyas, 01-243172-003 (Computer Sciences BUIC, 2020)
    TO seek the knowledge and information about any topic and field user need an automated process. Prior cases chosen in courts of law are essential legal materials in both common and gracious law frameworks. With the rapid ...

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