Browsing MS (DS) (BUIC-E-8) by Title

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Browsing MS (DS) (BUIC-E-8) by Title

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  • A Light-Weight Approach for Crop Disease Identification 
    Salman Ahmad Khan, 01-249212-013 (Computer Sciences, 2023)
    Plant diseases pose a serious danger to crop production globally, leading to huge economic losses. According to forecasting, the world’s population will reach 9 billion by 2050, demanding seventy percent increase in food ...
  • Logistic Route Optimizationusing Quantum Annealing Approach 
    M. Abu Bakar Khan, 01-249212-007 (Computer Sciences, 2023)
    Route optimizationisakeyissueinseveralfields,includingtransportation,lo- gistics, andsupplychainmanagement.Routeoptimizationisdeterminingthemost effectivesetofroutestomeetcertaincriteriasuchasdistance,time,andcost.The ...
  • 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 ...
  • 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 ...
  • Negative Emotions Recognition Using fNIRS Based Classification 
    Muneeb Ahmed, 01-249212-010 (Computer Sciences, 2023)
    The emotional wellness of a person includes one’s thoughts, emotions, and ability to deal with life’s challenges. A sign of emotional wellness is having the ability to talk with someone about your emotional concerns and ...
  • 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, ...
  • Optimized Energy Consumption Model for Multi-Source Small Structures 
    Haider Hassan Pasha, 01-249212-002 (Computer Sciences, 2023)
    The main purpose of this thesis is to find methods for optimizing energy sources so that the cost of electricity is minimum. There are many methods and algorithms for solving optimization problem, but the method used in ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Spatial Isolation and Quarantine Strategy Optimization Using Quantum Annealing 
    Usama Bin Tariq, 01-249212-016 (Computer Sciences, 2023)
    In response to numerous important circumstances, such as disease outbreaks and catastrophe management, the efficient deployment of resources for spatial isolation and quarantine measures are critical.The goal is to ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Text Based Personality Recognition Based on User’s Content 
    Mujahid Ahmad, 01-249212-009 (Computer Sciences, 2023)
    The potential applications of personality prediction from textual data in psychology, marketing, and human-computer interaction have sparked considerable attention in recent years. While previous research has provided ...
  • Text Summarization for Roman Urdu 
    Laraib Kaleem, 01-249212-005 (Computer Sciences, 2023)
    Recent research has shown that multilingual languages are used in roman form over generations. Due to this complex challenge, we are working on a Roman Urdu (RU) in terms of Abstractive Text Summarization (ATS). Roman Urdu ...
  • 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 ...

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