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Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • Rafin, Mahedi Hassan (2024-01-20)
    This project aims to create a platform where students and researchers can explore various Artificial Intelligence used in games within simple environments. The idea for this project came about due to the lack of resources ...
  • 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 ...
  • Hasan, Md Zahid (IEEE, 2021-01)
    Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, ...
  • Hasan, Md Zahid; Zeba, Nahid; Malek, Md. Abdul; Reya, Sanjida Sultana (Scopus, 2021)
    Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, ...
  • 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 ...
  • 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 ...
  • Khan, Thaharim; Arafat, Faisal; Mojumdar, Mayen Uddin; Rajbongshi, Aditya; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2020-07)
    Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) ...
  • 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 ...
  • 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 ...
  • Toma, Tamanna Kabir (Daffodil International University, 2024-01-20)
    This thesis discusses machine learning transformations in environmental contexts using a dataset that contains information about both historical and current environments. The dataset, which spans the years 2013 to 2022, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Islam, Majharul (Daffodil International University, 2020-12-31)
    In twenty first century, due to covid-19 pandemic the job sector has been absolutely shifted.Before starting and joining the job environment, company’s authorities should ensure job holders are psychologically qualified ...
  • 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 ...
  • Islam, Mohaimenul (Daffodil International University, 2020-07-19)
    This is documentation based on final year project phase-2 of the CIS department of daffodil International University. The name of the project is Online Exam and learning System which is basically a free educational ...
  • Emon, Minhaz Uddin; Imran, Al Mahmud; Islam, Rakibul; Keya, Maria Sultana; Zannat, Raihana; Ohidujjaman, Ohidujjaman (Scopus, 2021)
    Data mining and machine learning play a vital role in health care and also medical information and detection, Now a day machine learning techniques use awareness of some major health risks such as diabetic prediction, brain ...
  • Emon, Minhaz Uddin; Keya, Maria Sultana; Meghla, Tamara Islam; Rahman, Md. Mahfujur; Al Mamun; M Shamim; Kaiser, M Shamim (Scopus, 2020-12-28)
    Most of strokes will occur due to an unexpected obstruction of courses by prompting both the brain and heart. Early awareness for different warning signs of stroke can minimize the stroke. This research work proposes an ...
  • Ullah, Md Rahmat; Dola, Nagifa Anjum; Sattar, Abdus; Hasnat, Abir (Scopus, 2020)
    The way a doctor can predict what kind of diseases a patient is suffering from, similarly, the fastest stratagem of predicting plant diseases is to analyze leaf's physiognomy changes and compare them with their actual ...

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