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Browsing Theses by Title

Browsing Theses by Title

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  • Computational Intelligence Techniques for Diabetes Prediction 
    Rahman, A. K. M. Sazzadur (Daffodil International University, 2018-12)
    This study is on “Computational Intelligence Techniques for Diabetes Prediction”. The main objective is to examine the performance of various Machine Learning algorithms in order to reduce the high cost of chronic disease ...
  • Confidential Message Transaction in a Card less Electronic Payment System 
    Akter, Farzana (Daffodil International University, 2019-12-18)
    This thesis is on “Confidential Message Transaction in a Cardless Electronic Payment System”.Nowadays people want the modern system as well as much more user friendly than before. In a card, less electronic payment system ...
  • Consumer Trust and Online Payment Options 
    Nour, Omer Faisal Ali (Daffodil International University, 23-02-12)
    Global business practices are evolving as a result of online sales. These days, shopping is increasingly done online, both for selling and for buying. However, this phenomenon is not very prevalent in under developing ...
  • Coronary Artery Disease Prediction Using Machine Learning Algorithm 
    Bhadra, Bivuti Vushan (Daffodil International University, 23-01-18)
    New technologies such as machine learning and big Data analytics has proven to be a promising solution for the biomedical community, health problems and patients care. It is accurate and therefore useful for early disease ...
  • Credit Risk Analysis Using Machine Learning Algorithms 
    Banerjee, Depayan (Daffodil International University, 23-01-18)
    Almost every financial institution, for instance, credit card companies and banks heavily rely on credit risk grade systems to determine whether to issue a loan to the probable debtor. They put the applicants into 8 ...
  • Cricket Player Identification By Jersey Color and Number Recognition 
    Kashem, Hares Ibne (Daffodil International University, 2019-05)
    Recognition of players in pictures of sporting events is an approachable but tough task. While there are many good player recognition systems, there are fewer methods that can identify the tracked players. Player identification ...
  • Crime Data Mining : A General Framework and Approach to Identify Crime Pattern Using Machine Learning 
    Sharmin, Mahmuda; Kazi, Md. Aslam (Daffodil International University, 2018-11)
    Crime data mining has been a hot topic in the law-enforcement sector as it can solve crime related problems more effectively. In this thesis, we have focused in determining crime patterns using effective data mining ...
  • Cyberbullying Detection From Romanized Bangla Text Using Deep Learning Techniques 
    Mia, MD. Mojnu (Daffodil International University, 23-01-18)
    People can freely express their ideas and opinions on a wide range of topics directly through a variety of social media outlets thanks to advancements in the internet and social media. In Bangladesh, people use both English ...
  • Data Encryption Technology in Network Information Security 
    Mondal, Tonmoy Sree Sagar (23-01-18)
    Data encryption is the process of converting data from a readable format to a jumbled piece of information. This is carried out in order to prevent snoopers from viewing private data in transit. It is possible to encrypt ...
  • A Decision-Making Approach for Trauma Center Site Selection 
    Sarkar, Amit (Daffodil International University, 2020-07-09)
    Normally when one’s made a trauma center then once select a suitable place. For selection a place we need to follow many procedures. And need some specialized man power. Such as architect, urban engineer, civil engineer, ...
  • Deep Web Impacts 
    Adan, Niman Ali (Daffodil International University, 2018-12-20)
    Internet is the global communication system which change the way all mankind communicate by making it two things cheap and wide spread across the globe. The internet is considered an ocean which we are sallying and taking ...
  • Deep Learning for Detection of Mango Leaf Disease: A Comparative Study Using Convolutional Neural Networks Models 
    Rabbi, Munshi Omar Faruque (Daffodil International University, 2024-01-29)
    The diagnosis of diseases in mango leaves presents a complex challenge, compounded by the diversity of crop types, variability in agricultural disease indicators, and a multitude of environmental factors. Early detection ...
  • Dengue Disease Analysis in Dhaka City Using Machine Learning Techniques 
    Hassan, Md Rakib (Daffodil International University, 23-01-17)
    As global urbanization and climate change accelerate, Dengue fever is spreading globally. Bangladesh has also experienced varying degrees of Dengue fever, particularly in the city of Dhaka, causing huge economic losses. ...
  • Dengue Fever Prediction Using Machine Learning Approaches 
    Suchita, Ishrat (Daffodil International University, 2024-01-29)
    Dengue fever, also a viral infection spread by mosquitoes, is still a major global health concern, impacting millions of people each year. By applying a carefully controlled dataset of 521 entries and 23 variables, this ...
  • Dengue Fever Prediction Using Machine Learning Approaches 
    Suchita, Ishrat (Daffodil International University, 2024-01-29)
    Dengue fever, also a viral infection spread by mosquitoes, is still a major global health concern, impacting millions of people each year. By applying a carefully controlled dataset of 521 entries and 23 variables, this ...
  • Deployment of Contextual Smart Agro System Using IoT: A Forward Looking EService Based on Bangladesh's ICTization Framework 
    Ahmed, Md. Tanjid (Daffodil International University, 2019-12-26)
    A new Smart Agro contextual model is proposed based on a context-conscious conceptual framework and a framework model for ICTization. The conceptual framework consists of connectivity, access, abstraction and service ...
  • Depression prediction among student based on their daily activities 
    Pranty, Miskatun Ahmed (Daffodil International University, 2024-01-01)
    Depression affects most people in modern life. Inadequate treatment even leads to many people taking their own lives. Early detection and treatment of depression in patients are very easy to achieve. We are unable to ...
  • Detecting Brain Tumor Using A Convolutional Neural Network 
    Rokonuzzaman, Md.; Sultana, Mst. Abida; Akhter, Farjana (Daffodil International University, 2019-12-05)
    Nowadays Machine Learning (ML) become most hot topic in the technology world. Newly invented machine with Artificial Intelligence (AI) taking every place of our life. Neural Network may be a modern machine learning field ...
  • Detection of Fake News with Natural Language Processing 
    Hossain, Fahmida (©Daffodil International University, 2022-01-22)
    In recent years sharing information through internet and various social platform has increased rapidly. It is very hard to find the credibility of those information. People are sharing news without knowing the proper fact. ...
  • Detection of Suicidal Ideation on Social Media Profiles Using Machine Learning Techniques 
    Hossain, Sabbir (23-01-18)
    Nowadays, due to numerous reasons like the nuclear family, peer pressure for fake prestige, impatience mindset, and mental pressure has become a usual trait in every person. When someone finishes their own life, we say ...

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