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

  • An enhanced intersection based geographical routing protocol for VANET 
    Muhammad Ahmed, 01-245171-006 (Bahria University Islamabad Campus, 2019)
    Vehicle Ad Hoc Network (VANET) is an up-rising sub class of Mobile Ad Hoc Network (MANET). The vehicle nodes in such networks can exchange the information with other vehicular nodes as well as with Road Side Units (RSU). ...
  • Optimized cluster based dynamic energy-aware routing protocol for wireless sensor networks 
    Muhammad Umair Bashir, 01-245171-013 (Bahria University Islamabad Campus, 2019)
    Wireless Sensor Networks (WSNs) are becoming one of the demanding platform for sensing the physical world. Various applications have been designed for monitoring purposes, in which sensor nodes can sense the physical or ...
  • Improved segment based geographical routing (ISR) Protocol for vehicular ad-hoc networks 
    Farooq Ul Islam, 01-245171-002 (Bahria University Islamabad Campus, 2019)
    Vehicular Ad hoc Networks (VANETs) have adopted the smart abilities of wireless networks and make the data communication possible through vehicle nodes. These networks support various types of applications related to safety ...
  • Contention reduction by using group based handling of traffic priorities in WBAN 
    Farhan Haroon, 01-245162-004 (Bahria University Islamabad Campus, 2018)
    IEEE 802.15.6 WBAN protocol is widely used in the medical field, it consists of sensors that allows medical professionals to monitor their patients remotely and keep track of their activities and vital signs. The IEEE ...
  • Semantic video retrieval using natural language queries 
    Ahmed Hassan, 0 l -249 182-002 (Bahria University Islamabad Campus, 2020)
    Video retrieval is searching and retrieving videos that are relevant to user-defined query. This is one one the most challenging and novel issue in multimedia search as well as in real life This research work is focused ...
  • Plant disease detection using deep deep learning 
    Haider Ali, 01-249191-002 (Bahria University Islamabad Campus, 2021)
    Agriculture plays an important role in the economic growth of a country. It is really essential to increase our food capacity to cope with the increasing hunger of the world, which is increasing day by day due to the ...
  • Time series analysis for financial forecasting 
    Saad Habib, 01-249191-009 (Bahria University Islamabad Campus, 2021)
    With growing economies the financial world spends billions in terms of expenses. These expenditures are sometimes defined as budgets and other times as operational resources for a functional workplace. These expenses carry ...
  • Emotions analysis on facial expressions 
    Muhammad Umar Safeer, 01-249191-007 (Bahria University Islamabad Campus, 2021)
    Multiple researchers, maximum human communication is non-verbal basis. The traditional Human Computer Interaction (HCI) focuses only on the intended input and overlooks the information delivered non-verbally. So, it is ...
  • Islamophobic hate speech detection from electronic media 
    Qasim Mehmood, 01-249182-018 (Bahria University Islamabad Campus, 2020)
    Islamophobic hate speech is the indiscriminate negative attitude and behavior towards Muslims and Islam. Due to the rapid growth of the Internet and availability of low cost devices, the number of social and electronic ...
  • Forgery detection of low quality deepfake videos 
    Muhammad Sohaib Sheikh, 01-249182-013 (Bahria University Islamabad Campus, 2020)
    The rapid growth of online media over different social media platforms or over the internet along with many benefits have some negative effects as well. Over the past few years we are seeing that along with positive usage ...
  • Cardiovascular disease risk prediction using machine learning techniques 
    Hussain Waheed Akhtar, 01-249182-004 (Bahria University Islamabad Campus, 2020)
    Cardiovascular disease (CVD) is one of the leading cause of deaths across the globe. Several indicators can help identify the risk of developing CVD that include both physiological and behavioral aspects. However, there ...
  • Assessment of cognitive development in children through computerized analysis of ‘draw-a-person’ test 
    Muhammad Osama Zeeshan, 01-249182-023 (Bahria University Islamabad Campus, 2020)
    Measurement of cognitive development in a child is a very old phenomenon and for many years psychologists used different tools and techniques to measure the intelligence level in a child. In this research, we have used one ...
  • Effective feature extraction techniques for increasing robustness of epilepsy prediction systems 
    Muhammad Haseeb Aslam, 01-249182-022 (Bahria University Islamabad Campus, 2020)
    Epilepsy is a common neurological disease in which a patient experiences seizures. Nearly 65 Million people are affected by epilepsy worldwide. These patients are monitored and examined in hospitals using electroencephalographic ...
  • Automatic damaged building detection and damage assessment from satellite images 
    Waleed Hassan, 01-249182-027 (Bahria University Islamabad Campus, 2020)
    Natural disasters cause severe damage to the buildings and injuries to people in the affected areas. After a disaster, one of the initial steps is to give a quick response and relief. To identify the extent of damages to ...
  • Predictive analytics to forecast hotspots of terrorist attack 
    Ume Kalsoom, 01-249191-012 (Bahria University Islamabad Campus, 2021)
    Terrorist attacks around the world are unpredictable and are a major threat for individuals as well as state. It creates violence, terror and damage to the general public and population causing unrest among individuals and ...
  • Characterization of negative emotions from handwriting and drawing based tasks 
    Ali Imran, 01-249191-014 (Bahria University Islamabad Campus, 2021)
    Emotion detection is very important for maintaining human health especially when we are discussing in context of negative emotions like anxiety, stress, and depression. Clinical practitioners perform lengthy sessions with ...
  • Loop Unrolling potential and effects on cryptography algorithms ‘acceleration trends and optimal limits 
    Muhammad Khurram Hameed, 01-247182-022 (Bahria University Islamabad Campus, 2020)
    Hardware-based implementations of stream ciphers and ring-learning with error lattice-based post-quantum cryptography (RLWE-LB-PQC) ciphers are requirements of resource constraint and modern computing environments with ...
  • Feature selection for blind image quality assessment 
    Muhammad Nabeel Ejaz, 01-249182-011 (Bahria University Islamabad Campus, 2021)
    In recent years, reference-less image quality assessment (NR-IQA) has become an important but diftlcult research probe me in the era of digital image processing. No reference IQA purpose is to fond a computational model ...
  • Deep conjunct denoising and demosaicking a hybrid approach based on deep adaptive residual learning 
    Asim Wadood, 01-243171-003 (Bahria University Islamabad Campus, 2019)
    In digital photography pipelines, Denoising and Demosaicking are the most essential key stages. In literature, Convolution neural networks-based Image demosaicking methods have exhibited tremendous achievement. Nonetheless, ...
  • Denoising and demosaicking of noisy bayer image using specialized networks 
    Emmad Zahid, 01-243171-037 (Bahria University Islamabad Campus, 2019)
    Demosaicking is the process of recreating a full colored image from incomplete colored image. In digital camera, single sensor is used to make camera cost effective. The single sensor does not capture all colors for single ...

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