Browsing MS (DS) (BUIC-E-8) by Issue Date

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Browsing MS (DS) (BUIC-E-8) by Issue Date

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Software Requirements Classification Using NLP Techniques 
    Muhammad Farooq, 01-249192-007 (Computer Sciences BUIC, 2021)
    The software requirement specification is a document that specifies what the software will do and how it will work. Delivery of good quality software depends on the software requirements as it is the building block of ...
  • Detection of Copy Move Forgery in Medical Images using CNN 
    Hafiz Muhammad Qadir, 01-249191-016 (Computer Sciences BUIC, 2021)
    Since the advancements in technology and IT has revolutionized the world, digital images have come out with crucial importance. With the fruitful advancements and purposes, the authenticity and security breaches in digital ...
  • 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 ...
  • 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, ...
  • Identification of Autism Spectrum Disorder through Facial Morphology 
    Adeel Anwar, 01-249192-003 (Computer Sciences BUIC, 2021)
    Autism spectrum disorder ASD has remained a popular research area for the last two decades. Autism is a severe spectrum disorder that affects communication, intellectual and social skills. Each patient exhibits the same ...
  • Classification of Autism Spectrum Disorder Using Multi-modal Data Fusion 
    Adnan Younas, 01-249192-021 (Computer Sciences BUIC, 2021)
    Autism spectrum disorder (ASD) is a neurodevelopmental disorder that causes problem in social behavior and interactions. It can adversely affect the social functioning of the individuals. Each autistic individual is said ...
  • Feature Relevance Analysis for Handwriting Based Identification of Parkinson ’s Disease 
    Saman Khawar, 01-249192-014 (Computer Sciences BUIC, 2021)
    Parkinson’s disease is a severe neurodegenerative disorder that impairs the motor system over time, causing the slowness of speech and movements, as well as abnormal writing abilities due to tremors. Parkinson’s patients ...

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