DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING: Recent submissions

  • Recognizing Bangladeshi Agricultural Insects Using Machine Learning 
    Akter, Tapsara (Daffodil International University, 23-01-18)
    Recently, some work has been done on agricultural insect recognition. But a limited number of works is done on Bangladeshi agricultural insects. Pests decimate crops on a massive scale each year. To achieve high crop output, ...
  • Predicting Foreign Language Anxiety Using Machine Learning Algorithm 
    Abdullahi, Mohamed Abdikafi (Daffodil International University, 23-01-18)
    The number of journeys people take to change their lives is rising, and in order for a person to be able to adapt to this openness and realize the value of his travels, it is crucial that he learn a language other than his ...
  • Sentiment Analysis on Amazon Customer's Review Using NLP 
    Maula, Renesa Bente (Daffodil International University, 23-01-18)
    The business environment of today has grown incredibly competitive and difficult. Growth of businesses now places a lot of emphasis on customer happiness. To understand and meet the demands of their clients, business ...
  • An Approach for Heart Disease Prediction Using Supervised Machine Learning Algorithms 
    Mira, Koli Mondol (23-01-18)
    The academic community has recently become interested in categorizing medical datasets using machine learning, despite the fact that it is a challenging task. The conclusion of the procedures is aided by the use of numerous ...
  • 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 ...
  • School Dropout Prediction of Bangladeshi Students Due to COVID-19 
    Sakkhar, Safiqur Rahman (Daffodil International University, 23-01-18)
    In year 2020 the whole world faced an unexpected crisis which we known as COVID-19 pandemic. After pandemic declaration by WHO (World Health Organization), every nation around the world started locked down their nations ...
  • 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 ...
  • 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 ...
  • Understanding Climate Change Concern Using Machine Learning Technique 
    Sultana, Afrin (Daffodil International University, 23-01-17)
    Climate transformation has been identified as the principal environmental crisis of the 21st century and become a matter of considerable debate. Nowadays, the significance of climate change is extensively argued through ...
  • Honeypots in Cybersecurity– A Security Mechanism That Creats a Virtual Trap To Lure Attackers 
    Naznin, Marina (Daffodil International University, 23-01-18)
    As the popularity of wireless networks soars, maintaining their security is a significant challenge. Wi-Fi networks are susceptible to Rogue Access Points because of the open medium, inadequate software implementation, ...
  • 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 ...
  • Apple and Orange Diseases Detection Using Deep Learniing Techniques 
    Faraduzzaman, G M (Daffodil International University, 23-01-18)
    We know that Bangladesh is an agricultural country where almost all people are dependent on agriculture. In today's world where everyone is health conscious, the ability to identify fruits by quality is very important in ...
  • Entrepreneurs' Prediction Using Machine Learning Algorithms 
    Uz Zaman, Farid (Daffodil International University, 23-01-18)
    From the beginning of the world, entrepreneurs are deeply involved in every sector of our life. The important component is that entrepreneurs are the primary riding pressure of the worldwide economy. This research focuses ...
  • An Alternative System for Removing Vehicle-Generated Noise in the City of Dhaka, Bangladesh. 
    Lia, Nayeema Ahmed (Daffodil International University, 23-01-18)
    There is a serious problem with noise pollution in most cities around the world. In its simplest form, noise can be described as unwanted sound. In addition to the noise that emanates from our workplace, environmental noise ...
  • Prevention of Cyber Attacks on Home WiFi Network 
    Deb, Gopal Chandra (Daffodil International University, 23-01-18)
    Our home Wi-Fi allows computers and a variety of other devices, such as smartphones and PDAs, to connect wirelessly to the internet. Unsecured Wi-Fi makes it easier for hackers to get to your private files and information ...
  • Movie Recommendation Using Unsupervised Method 
    Chakma, Dibyo (Daffodil International University, 23-01-18)
    Everyone in our hectic world is occupied with their personal and professional lives. There is a maximum number of people who can watch movies in theaters or read books while passing the time. These days, online services ...
  • Detection of Tomato Diseases Leaf Symptoms Using Image Processing Deep Learning Based Approach 
    Islam, Md. Arifin (Daffodil International University, 23-01-18)
    Tomato is most popular vegetable all over the world. It’s cultivated of high nutritive value. During cultivation tomato leaves expose too many problems and diseases like blight, bacterial spot, early blight, healthy, late ...
  • A Wide Convolution Network Based Classification Path for Recognition Papaya Leaf Disease 
    Ripa, Kaniz Fatima (Daffodil International University, 23-01-18)
    The top papaya-producing countries are India, Mexico, Brazil, Indonesia, Nigeria and the Dominican Republic. But in papaya especially leaf curl, foot rot of papaya, papaya ring spot and many other diseases are causing great ...
  • 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. ...
  • Loan Prediction Analysis using Machine Learning Techniques 
    Shawn, Abul Hasan (Daffodil International University, 23-01-18)
    Loans account for a large portion of bank profits. Despite the fact that many people are looking for loans. Finding a legitimate applicant who will return the loan is difficult. Choosing a real applicant may be difficult ...

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