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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Machine Learning"

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Machine Learning"

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  • Framework for Seed Quality Tracing Using Blockchain 
    Akter, Sharmin (Daffodil International University, 2020-12-06)
    Seed quality plays a vital role in the production of quality food and ingredients. World-wide quality seed production is a known problem. With the advent of technology, networks, sensors and the Internet of Things (IoT) ...
  • Fruit Freshness Detection by Using Tensorflow 
    Tonmoy, MD. Asrafi Rahoman (Daffodil International University, 2020-07-26)
    We are human beings. We need food to live. Because we get nutrition from food. Most of the nutrition is taken from fruits. The fruit is the source of huge amounts of vitamins and minerals. It also improves our immune ...
  • Gourd Vegetable Detection by Deep Learning Approach 
    Akter, Kana (Daffodil International University, 2024-01-29)
    The local market in Bangladesh offers a diverse range of around 100 varieties of vegetables for purchase and sale. The nomenclature of vegetables exhibits regional variations, leading to difficulties in identification ...
  • Handwritten Word Detection Based on Machine Learning Approach 
    Hasan, MD. Sabbir (Daffodil International University, 23-02-18)
    This thesis presents “Handwritten word detection based on machine learning approach”. Handwritten focus is turning into a necessary problem in a number of years however it turns into an assignment to get suitable overall ...
  • Identification of Corona Virus From X-ray Images 
    Arif, Md. Rashid; Hasibul Hasan, Md.; Tanjil, Faridul Islam (Daffodil International University, 2020-12-10)
    In late December 2019, China announced the novel COVID-19 coronavirus. And after that, it spread all around the world, taking the place of a pandemic. In the meantime, there are many testing kits available but it takes ...
  • Identification of Spoken Language Using Machine Learning 
    Shahariar, MD. Asif; Aziz, Iftekher; Banik, Shovan (Daffodil International University, 2020-07-19)
    Identification of spoken language is the way to detect the specific language which is spoken by an anonymous speaker. We will also find out several techniques of machine learning for detecting spoken language. Our major ...
  • Kidney Disease Prediction Using Machine Learning 
    Laboni, Monira Akter; Akter, Hajera (Daffodil International University, 2018-11-01)
    Machine learning has earned a remarkable position in healthcare sector because of its capability to enhance the disease prediction in healthcare sector. Artificial intelligence and Machine learning techniques are being ...
  • Liver Disease Prediction Using Machine Learning Approaches 
    Bhuiyan, Md. Abdur Rahman (Daffodil International University, 2019-12-06)
    For the perdition of different diseases to make the best feasible clinical care decisions it is very essential to take the right decision from medical doctors. If the doctor takes their improper decisions, it could be ...
  • Machine Learning approach for predicting temperature in Bangladesh 
    Rizvee, Md. Arif (Daffodil International University, 2018-12)
    Our country has six seasons. Though temperature remain high during summer season in Bangladesh. For global worming Bangladesh weather is also changing. As a result temperature in Bangladesh is increasing day by day. For ...
  • Machine Learning Based Intelligent Recommendation System Development for Stepping up Programming Skill 
    Ahammed, Nesar; Ahammed, Foysal (Daffodil International University, 2020-07-19)
    Programming online judges (POJs) are an emerging application scenario in e-learning recommendation areas. Specifically, they are e-learning tools usually used in programming practices. Usually, they contain a large ...
  • Machine Learning Based Skin Disease Classification 
    Bhuiyan, MD. Zayed Hassan; Monshi, MD. Tamjeed (Daffodil International University, 23-02-18)
    Skin is the most sensitive and the largest organ in our body. Globally more than 35 million people are regularly affected by many types of skin-related diseases. Skin disease is too much danger in Bangladesh for people's ...
  • MACHINE VISION BASED LOCAL FISH RECOGNITION 
    JOYE, TASNEM AHMED; SHARMIN, ISRAT; ISLAM, NUZHAT FARZANA; JAHAN, ISRAT (Daffodil International University, 2018-12-09)
    Every single country has its own tradition which help to identify its self differently in front of the whole universe. Like others our county has some abundance too. River dimensional, this country is the state of sweet ...
  • Machine Vision Based Potato Species Recognition 
    Nuruzzaman, Md; Hossain, MD. Shahadat; Rahman, Md Mostafijur (Daffodil International University, 2020-07-18)
    One of the bound vegetable elements of our daily life is the potato. There are 4200 kinds of potato species and among them, 82 kinds are found in Bangladesh. It is usually grown for numerous reasons apart from having as ...
  • Mango Species Prediction from Leaf Using Convolutional Neural Network 
    Islam, Md. Ariful (Daffodil International University, 2020-07-09)
    Convolutional Neural Network (CNN) is a vast area of researches in Machine Learning. Various types of researches are using Artificial Intelligence (AI) in agricultural fields, medical sectors for detecting diseases. This ...
  • Mental Anxiety and Depression Detection During Pandemic Using Machine Learning 
    Quadir, Ryana (Daffodil International University, 2020-12-28)
    As the novel coronavirus pandemic sweeps the globe and people take to their homes to avoid getting and spreading the contagion, it makes proper sense that much of the conversation about this is taking place online. With ...
  • A Method for Object Detection to Help Blind People Using Machine Learning 
    Hasan, Md. Mahamudul; Ahmmed, Faysal; Haque, Md. Hasanul (Daffodil International University, 2021-01-28)
    The proposed project is made for blind people for detecting object in outdoor and indoor both. There are huge numbers of blind people on the world. According to World Health Organization (WHO) there are about 285 million ...
  • Prediction of Facebook Addiction Using Machine Learning 
    Islam, Md. Zahirul; Jannat, Ziniatul (Daffodil International University, 2020-07-26)
    In this modern age, social media is a part and parcel of our everyday life. Our daily life is undergoing multiple changes that directly have positive and negative effects. Social media has a positive and negative side ...
  • Project Report on A Machine Learning Approach To Detect Diabetic Retinopathy 
    Saha, Pratim (Daffodil International University, 2020-10-12)
    Diabetic Retinopathy is an eye disease that affects mainly the retina. It is the consequence of long-standing Diabetes which results as blood leaks from the retinal blood vessels onto the retina. It is one of the most ...
  • Real time Weapon Detection Using Convolutional Neural Network 
    Jubaer, A. N. M.; Sayem, Abu (Daffodil International University, 2020-05-06)
    Security is a big issue these days. People are becoming violent and the tendency to be armed is being noticed. Carrying a pistol or knife is now very common. Security guards are trying their best, but we think technology ...
  • Risk of Dental Disease Prediction Using Machine Learning 
    Rimi, Iffat Firozy; Akter, Sharmin (Daffodil International University, 2020-10-08)
    Now a day’s dental disease is the major health problem in Bangladesh. So dental care is important to most people in our country. But the cost of dental care services is increasing day by day. We will predict the risk of ...

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