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

  • MRNA Modular Remote Network Administration Web Based (COM Component / Server) 
    Saif ur Rehman (Computer Sciences, 1999)
    This report is the culmination of over eight months of hard work. These eight months saw us (i.e. Saif and Raheem) go from rank novices as far as Windows Nr, and Windows 2000 administration was concerned, to our present ...
  • MRNA Modular Remote Network Administration Web Based (IIS Application/ Client). 
    Muhammad Raheem Shah Alam Khan (Computer Sciences, 1999)
    This report is the culmination of over eight months of hard work. These eight months saw us (i.e. Saif and Raheem) go from rank novices as far as Windows NT, and Windows 2000 administration was concerned, to our present ...
  • Smt Net Spy 
    Shahnawaz Malik (Computer Sciences, 1999)
    This software fulfills the ultimate requirement of any network administrator. Basically, it will provide any network administrator, all the necessary information of technical or managerial nature. "Information of technical ...
  • Voice Communication Over The Internet. 
    lmran Adeel Haider (Computer Sciences, 1999)
    The Audio communication on the Internet is booming these days. COMMET Audio is the ActiveX Control for this purpose. It uses the ITU G.723 protocol to compress the and transfer speech/audio data in real time over the ...
  • Indus Books On-line Shopping Network User Interface 
    Shahzada Alamgir Mirza (Computer Sciences, 1999)
    lndusBooks is an on-line shopping network equipped with a website, a user interface and an administrative interface. My project was the development of the user interface in Java. The development included a searching platform ...
  • Formal Specification and Verification of COAP Protocol Using Pluscal-2. 
    Abdul Razzaq Khan, 01-243201-001 (Computer Sciences BUIC, 2022)
    Usage of internet is becoming more and more important in all aspects of life and with this rise the use of IoT based applications are growing very fast in recent times. IoT is transforming the industries and businesses ...
  • 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 ...

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