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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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  • Ahsan, Mherub; Khyom, Md. Omur; Nayeem, Md. Mehedi Aasan (Daffodil International University, 2019-12-10)
    Identification of diseases from the leaf images of a tomato leaf is one of the interesting research areas within the agriculture field, that machine learning ideas of computer field can be applied. This paper presents a ...
  • Asif, Imtiaz Ahmmed; Roy, Apurbo (Daffodil International University, 23-02-18)
    The potential of social media is growing as more people use it every day. However, as more people use social media, bullying is also becoming more common in the comment sections of posts by well-known users and viral ...
  • 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 ...
  • Hridoy, MD. Najmul Huda; Islam, MD. Azizul; Rahman, Mohammad Atiqur; Zahan, MD. Sarowar (Daffodil International University, 23-02-18)
    Object detection is a key concept in optical-based video surveillance software/model/device and automated security system for analyzing/detecting/ identifying crime scene evidence. Photos and video footage can have an ...
  • Hassan, MD. Nazmul; Progga, Tabassum (Daffodil International University, 22-09-13)
    Steatosis, often known as fatty liver disease, is a common disorder brought on by an overgrowth of fat in the liver. There is a modest amount of fat in a healthy liver. A problem arises when fat makes up 5% to 10% or ...
  • Miah, Md. Nahid; Alam, Fazlul (Daffodil International University, 23-02-12)
    Brain tumor is a very panic issue because many people have died from this problem. Early detection of brain tumors can save many lives. Magnetic resonance imaging (MRI) is more effective than any other technique. In this ...
  • Biswas, Rubel; Datta, Apurbo (Daffodil International University, 2019-12)
    The objective of our research to detect hate speech on social media. Everyday huge amounts of data generated by users of different social media. For this research, we created a data set collecting data from twitter. This ...
  • Islam, Farhana Binte (Daffodil International University, 2019-12-05)
    “DEVELOPMENT OF A FLOATING GARBAGE CLEANING ROBOT FOR WATER BODY”: This is an embedded system project. Embedded system is a part of machine learning. Our nature is rapidly polluted by human. This embedded project will ...
  • Hossain, Shahriar; Rahman, Asifur (Daffodil International University, 23-02-12)
    Home automation system has gained popularity nowadays. Considering this, we have developed a home automation system based on voice control. There are many advanced voice-controlled home automation systems like “Alexa” from ...
  • Eva, Israt Jahan; Mitu, Mariya Akter; Anika, Sayra Jannat (2022-01-04)
    Day by day machine learning is getting its prominence. Recommending something using machine learning is a popular area for enthusiastic researchers. The recommendation system is getting more precise as days go by. In the ...
  • Chowdhury, Md. Zaman; Islam, Mirajul; Tuly, Israt Jahan (©Daffodil International University, 2022-01-13)
    The categorization of medical datasets using machine learning has piqued the interest of the academic community in recent years, despite the fact that it is a difficult undertaking. The use of a large number of machine ...
  • Mia, Sobuj; Hasan, Razib; Rana, Md. Juweel (Daffodil International University, 2022-01-02)
    There are many diseases in Bangladesh where diabetes is ordinary disease of human body. A human is affected when his body sugar level over a period is pretty much high. It also causes of stroke, heart attack, kidney ...
  • Uddin, Mesbah (Daffodil International University, 2024-01-01)
    This Project delves into the transformative impact of modern technologies on the landscape of e-commerce websites. In the fast-paced digital era, the integration of cutting-edge technologies has become paramount for ...
  • Hossain, Eftekhar; Al-Mamun, Abdullah (Daffodil International University, 2019-12)
    Heart attack is a disease which has become the leading cause of death worldwide. Particularly in the South Asian countries have a tremendous risk of heart attack at an early age than any other ethnic group. Most often ...
  • Rahman, Sharzan; Mim, Afsana Alam (Daffodil International University, 23-01-29)
    Brain stroke is the second-leading cause of death and the third-leading cause of disability worldwide. A stroke occurs when the blood circulation in the brain is obstructed or when a blood vessel in the brain ruptures and ...
  • Pulok, Md. Amirul Hasan; Islam, Sumayia; Jemi, Israt Jahan (Daffodil International University, 2021-06-01)
    In this century, educational institutes have stored a lot of student data which is increasing constantly. This data contains various attributes like student grades, school, and family-related features. It is needed to ...
  • Shaikh, Md. Raju; Yeasmin, Tamanna; Islam, Md Amirul (Daffodil International University, 2022-01-17)
    “Edge Detection Using Deep Learning”, is a project that is based on research which is key objective to improve a novel detection of edge technique which introduces a pair key flaws of long-term vision recognition by ...
  • Roy, Uzzal; Sumi, Samia Islam (Daffodil International University, 23-01-29)
    The trend of tricking web users has kept pace with the expanding utilization of online surfing. The rise of phishing attacks postures a noteworthy risk to individuals and organizations everywhere. Phishing is constantly ...
  • Hassan, Mahmudul; Alam, Mahmudul; Ahmed, Sabbir (Daffodil International University, 2019-05)
    Cardiovascular disease is a leading cause of death in this period. The number of deaths among both males and females increases each day due to heart disease. For example, researchers used machine learning and data mining ...
  • Khan, MD. Tamim; Rafi, Raisul Islam (Daffodil International University, 23-02-18)
    Heart disease is among the most difficult diseases, and it affects a lot of individuals all over the world. Early and accurate heart illness identification is vital in the world of medicine, particularly in the field of ...

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