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

  • Reconstruction of Missing Writing Strokes in Historical Manuscripts 
    Javaria Amin, 01-249211-002 (Computer Sciences, 2023)
    In the recent years, there has been an increased trend to digitize the historical manuscripts. This, in addition to preservation of these valuable collections, also allows public access to the digitized versions thus ...
  • Neural Machine Translation for Post-OCR Error Correction 
    Nehal Yasin, 01-249211-011 (Computer Sciences, 2023)
    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 ...
  • Spatio-Temporal Data Mining for Hotspot Identification and Evolution in Health Informatics 
    Ummer Hiyat Ahmad, 01-249202-019 (Computer Sciences, 2022)
    Health emergencies in the recent years have alarmed every country to do preparedness before any critical situation. The pandemics in recent years have disrupted nearly every human. Using hotspot identification techniques ...
  • ML Based Trend Analysis of Covid-19 in Pakistan 
    Fida Muhammad, 01-249202-005 (Computer Sciences, 2022)
    COVID-19 is a virus having a family and comprised of different small to large viruses. The origin of this virus is Wuhan, the city of China. It was identified back in December 2019. COVID-19 spreads very rapidly in whole ...
  • Advertisement Detection in Broadcast Videos 
    Hafiz Ahmad Raza, 01-249202-006 (Computer Sciences, 2022)
    Advertisement detection in videos has remained interesting area of research for the past three decades. For this purpose many techniques have been used. The focus of this study is to detect advertisement in broadcast videos ...
  • Story Segmentation and Analytics from News Bulletins 
    Muhammad Nauman Ahmed Bhatti, 01-249202--021 (Computer Sciences, 2022)
    News bulletins data typically contain multiple stories on various topics, and identifying the story boundaries is vital for search, and curation. With the exponential increase of news sources, story segmentation will allow ...
  • Few Shot learning for Identification of Writing Styles –An Application to Short Historical Scientific Notes 
    Iqra Ambreen, 01-249202-007 (Computer Sciences, 2022)
    Computational analysis of historical documents has remained an interesting research area for the pattern classification community. Identifying the documents based on structural similarity among their features is a major ...
  • Document Visual Question Answering 
    Eiza Batool, 01-249202-002 (Computer Sciences, 2022)
    Visual Question Answering is one of the most emerging problems in computer vision and natural language processing (NLP). Visual question answering is the process of answering the question about an image by using visual ...
  • Studying the Factors Affecting the Risk of Forest Fire Occurrence and Applying Machine Learning Techniques for Detection 
    Sara Chaudhry, 01-249202-014 (Computer Science, 2022)
    One of the major factors contributing to environmental dangers, which have a variety of detrimental effects on human existence, is forest fires. Therefore, controlling such a situation and preserving lives requires early ...
  • Carbon Footprint Analysis in Logistics Using Machine Learning Approaches for Sustainable Transportation 
    Laiba Sadeer, 01-249202-008 (Computer Sciences, 2022)
    Climate change has become a significant concern for humanity in this ethnocentric era.. Transportation contributes approximately 23% of the annual global CO2. Governments and politicians have been asked to take action to ...
  • Low Illumination Object Detection using Deep Learning Techniques. 
    Anza Tahrim Abbasi, 01-249201-002 (Computer Sciences BUIC, 2022)
    Since object detection in the actual world is affected by illumination, object detection has been a challenging task for quite a long time. Under normal lighting conditions, image processing achieves significant efficiency ...
  • Deep Water Image Classification for Marine Using Convolutional Neural Network. 
    Muhammad Imran, 01-249201-006 (Computer Sciences BUIC, 2022)
    Deep learning models perform well in open-air captured image classification problems but, in the case of underwater images, can’t find better accuracy due to low-level features. Under-water image classification is a difficult ...
  • Face Morphing Attack Detection. 
    Muhammad Hamza, 01-249201-005 (Computer Sciences BUIC, 2022)
    Failure of facial recognition and authentication system may lead to several unlawful activities. The current facial recognition systems are vulnerable to different biometric attacks. This research focuses on morphing attack ...
  • Person Identification through Gait. 
    Abdul Basit Mughal, 01-249201-018 (Computer Sciences BUIC, 2022)
    In the field of computer vision, person identification across several cameras is a very important task especially the identification of the same person in different scenes. Human gait identification is a biometrics technique ...
  • Classification of Children with Specific Language Impairment using Audio Data. 
    Saima Safdar, 01-249201-011 (Computer Sciences BUIC, 2022)
    Specific Language Impairment is a language disorder which prevents children from achieving language skills. Children that are affected with SLI are frequently late to speak and may not generate any words until they are two ...
  • Fake News Identification Using Machine Learning. 
    Hafiz M Ehtaisham Fared, 01-249201-003 (Computer Sciences BUIC, 2022)
    Now a days we are surrounded by fake news. Fake news or disinformative news spread out with a very high ratio among various communities over the globe due to the advancement in technology in term of involving social media ...
  • Identification and Tracking of Players. 
    Syed Mujtaba Haider, 01-249201-017 (Computer Sciences BUIC, 2022)
    Identification and tracking of players in sports broadcasts has been an enduring challenge within the Deep Learning and Computer Vision domain. In the field of identification and tracking of players are important for team ...
  • Exploiting Transliterated Words for Finding Similarity in Inter-Language News Articles. 
    Sameea Naeem, 01-249201-014 (Computer Sciences BUIC, 2022)
    Finding similarities between two inter-language news articles is a challenging problem of Natural Language Processing (NLP). All the major human activities become news and uploaded to the different news platforms in so ...
  • 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, ...

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