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Browsing Project Report by Title

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  • Detecting helmets on bike riders using deep learning techniques 
    Tushar, Md. Abu Hana Mostafa Zaman (Daffodil International University, 2024-01-01)
    The study introduces a technique for instantaneously and automatically detecting the helmets worn by bike riders. Bikers are a prevalent means of transportation for many folks in my country. Bike have become more popular ...
  • Detecting Plant Diseases Using Image Recognition in Android Application 
    Hasan, Md. Kamrul; Das, Kushal (Daffodil International University, 2021-06-02)
    The method suggested aims to identify plant disease and offers a solution that can be used as a disease defense mechanism. The Internet data collection is carefully separated and the various plant species classified and ...
  • Detecting Social Media Cyberbullying on Bangla Language Using Machine Learning 
    Niloy, Mahdi Hasan (Daffodil International University, 2022-01-19)
    On the internet, the number of cyberbullying importunity in the Bangla language is adding in a noteworthy way. All kinds of people like men, women and youths are being the victims of cyberbullying substantially through ...
  • Detecting Weapons to Inform Concerned Authority about Criminal Activity Based on Computer Vision 
    Sakib-Ahmod, S. R.; Hemel, Abu Shyed; Hossain, Shoyeb (Daffodil International University, 2021-01)
    This report book is intended to clarify the whole perspective of the project titled to provide a clear view of the whole aspect of the project that we have gone through. Computer vision is said to be the eyes of computers. ...
  • Detection and Classification of Road Damage Using Deep Learning Approach With Smart Phone Images 
    Shila, Sharmin; Bayshakhy, Fahima Taher; Mitu, Sumaia Zannat (Daffodil International University, 23-01-29)
    In cities, road surface monitoring is mostly done by hand which is a time-consuming and labor-intensive procedure. One of the most critical responsibilities is infrastructure maintenance work for traffic safety. To keep ...
  • A Detection and Segmentation of Medical Image Using Machine Learning Algorithms 
    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 ...
  • Detection of Bird Species by Image Processing With the Help of Deep Learning 
    Forhad, Nadim Mahamud (Daffodil International University, 2022-01-04)
    These days, countless species of birds are hardly found, besides it is problematic to categorize bird species once found. For instance, for diverse circumstances, birds come with altered dimensions, forms, shades, and ...
  • Detection of Brain Tumor Using Machine Learning Approaches 
    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 ...
  • Detection of Breast Cancer from Ultrasound Imaging using Deep Learning Model 
    Raz, Maruful Islam; Akter, Sharmin (Daffodil International University, 23-02-18)
    The second most common cause of mortality for women is breast cancer. Female death rates can be decreased if breast cancer is found early. For early cancer detection, an automated system is needed because manual breast ...
  • Detection of Breast Cancer using Deep Learning Approach 
    Saha, Badhan (Daffodil International University, 23-01-29)
    Breast cancer is a disease in which cells in the breast grow out of control. In Bangladesh the rate of breast cancer occurrence is estimated to be 22.5 per 100,000 females of all ages. In case of Bangladeshi women, aged ...
  • Detection of COVID and Viral Pneumonia: A Transfer Learning Model-Based Approach 
    Jishan, MD. Salman Sakib Rahman (23-01-18)
    A worldwide epidemic known by the name Covid-19 is said to have posed the greatest threat to public health in the last century and resulted in catastrophic health, social, and economic disasters. Fever and chills were this ...
  • Detection of Hate Speech on Social Media Using Machine Learning 
    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 ...
  • DETECTION OF HUMAN ACTIONS IN LIBRARY USING YOLO V3 
    HOWLADER, MD SHAJJAD; RETU, REJWANA KARIM; RAHMAN, MUHAMMAD MAHBUBUR (Daffodil International University, 2018-12-11)
    A person’s activity in a library should be monitored to avoid any unwanted problems. In this project, we have investigated a problem of image-based human action detection in a library. It involves making a prediction by ...
  • Detection of Lyme Disease Rashes Using Deep Learning-Based Approach 
    Adnan, MD. Sad (Daffodil International University, 22-09-21)
    Lyme disease is the maximum not unusual place vector-borne disease with inside the United States. Lyme disease is resulting from the bacterium Borrelia burgdorferi and, rarely, the bacterium Borrelia mayonii. It is transmitted ...
  • Detection of Major Symptoms of COVID 19 Delta Variant Using Machine Learning Technique 
    Bongshi, Ujjal Raz (Daffodil International University, 2022-01-19)
    This research is intended as a guide for researchers who want to take part in future research work and current people who want to know the major symptoms of the Covid 19 Delta variant. Machine learning in the health ...
  • Detection of Monkey pox Disease Using Computer Vision-Based Transfer Learning Models: A Comparative Study 
    Rahman, MD Mizanur; Nahiduzzaman, Md. (Daffodil International University, 23-02-13)
    The world is now concern about monkey pox where the world is still infected by the deadly covid-19 virus. Monkey pox is not as infectious as covid-19 but it is a contagious disease. Monkey pox cases are being reported in ...
  • Detection of Potato Diseases using Deep Learning 
    Hossain, Md. Jaber; Hasan, Md. Mahedi; Sikder, Md. Sajib (Daffodil International University, 2021-05)
    Potato is one of the essential foods and root vegetables in the world and is also the staple food in some different nations. Globally It is the fourth-largest food and now the seventhlargest growing food in Bangladesh. ...
  • Detection of Recyclable Product 
    Islam, Sahajul; Lifa, Lifonar Afrin; Hasan, Mehedi (Daffodil International University, 2021-06-01)
    Detection of recyclable products by artificial intelligence is an ongoing research area. Recent techniques by advanced robotics are generated by fuzzy logic systems. Fuzzy logic captures the uncertain systems perfectly. ...
  • Detection of tomato leaves disease using CNN deep learning 
    Shalauddin, Md. (Daffodil International University, 2024-01-01)
    The output of tomatoes has increased in Bangladesh in the past few years. In addition to its nutritional benefits, tomato cultivation is important for the employment of many people. However, several illnesses that affect ...
  • Determining Correlation Between Social Engineering Awareness and Becoming Victim of Social Engineering 
    Tahmiduzzaman, K.B.M.; Mondol, Tanmoy; Babi, Farzana (Daffodil International University, 2022-01-04)
    The purpose of social engineering is to hack into a person's security system and lure them in with luring human behavior. The art of social engineering, also known as human hacking, involves tricking employees and customers ...

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