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Browsing Project Report by Subject "Algorithms"

Browsing Project Report by Subject "Algorithms"

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  • Design and Development of Chronic Kidney Disease Management System Using Machine Learning 
    Emon, Nafiz Ahmed; Ahamed, Sharif (Daffodil International University, 23-01-29)
    Kidney disease is a chronic condition because it causes a progressive loss of kidney function over time. When kidney function is impaired, the body can no longer perform all of these essential functions, leading to a range ...
  • 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 ...
  • Development of Home Automation System Using Voice Command 
    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 ...
  • Drumstick Leaf Detection by Machine Learning Approach 
    Nasrullah, Md (Daffodil International University, 23-01-29)
    This project titled “Drumstick Leaf Detection by Machine Learning Approach “. The traditional method of image recognition is to extract features manually, which cannot solve this problem well due to the complex background ...
  • Early Prediction of Brain Stroke Using Machine Learning Techniques 
    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 ...
  • Effective Heart Disease Prediction Using Machine Learning with Five Classifiers 
    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 ...
  • An Efficient Early Prediction of Hypothyroid Disease with Ensemble Machine Learning Technique 
    Nandi, Kartick (Daffodil International University, 23-02-12)
    Physical illnesses, such as hypothyroidism, have recently become more prevalent. The topic is well-known in today's society. Hypothyroidism is a problem for the majority of people. The differences between the ratios of the ...
  • Evaluating Machine Learning Algorithms for Heart Disease Prediction 
    Islam, MD. Sofiqul; Shiblee, Shah Moazzam Hossen (Daffodil International University, 23-02-18)
    One of the significant motives of death globally is a heart-attack. Heart-attack detection early on can save lives. In this exploration, we mention a predictive machine learning algorithm of heart attack. The algorithm ...
  • Evolution and Revolution of Artificial Intelligence in Education 
    Brinto, Arijit Mondol; Roy, Sajib Sovon; Nishat, obael Ahmed (Daffodil International University, 23-01-29)
    Artificial Intelligence is now present in practically every aspect of our life. Artificial intelligence is a burgeoning technology that has the potential to revolutionize every aspect of our social interactions. In the ...
  • Face Emotion Detection Comparative Study Using Deep Learning 
    Ferdous, MD. Zannatul; Nishat, Mst. Umme; Hride, Raddia Akter (Daffodil International University, 23-01-29)
    People usually express their feelings and communicate with each other through facial emotion. Through face emotion detection we can easily understand the language of a person’s mind. Generally, face emotion detection is ...
  • Gender Recognition using Smartphone Usage Pattern 
    Dey, Piyal (Daffodil International University, 22-09-13)
    In today's world, mobile phones can quickly establish long-distance interconnections and perform important tasks. For this reason, the number of smartphone users is increasing rapidly. Smartphones are used not only as an ...
  • Gerbera Flower Detection by Machine Learning Approach 
    Islam, Hasibul (Daffodil International University, 23-02-12)
    Gerbera species from South Africa were formally recognized for the first time in 1889. It is now protected in its native habitats across the tropics. The flower has become a common ornament for backyard gardens in many ...
  • House Rent Prediction in Dhaka City Using Machine Learning Approach 
    Hossen, Md Arman; Rahman, Md. Merazur (Daffodil International University, 23-01-29)
    Dhaka is a densely populated megacity in Bangladesh and day by day population of Dhaka city is increasing. People are frequently migrating to Dhaka. The main driving forces behind migration to Dhaka City are poverty, job ...
  • Human Speech Emotion Classification Based on Bengali Language 
    Moon, Moontasir (Daffodil International University, 23-01-29)
    The research focuses on the task of human speech emotion recognition in the Bengali language. Due to the variety of ways that emotions may be communicated, it can be difficult to identify emotion from speech. Four different ...
  • Image Analysis for Classifying Forest Fire Using Deep Learning 
    Saba, Sabrina; Hossain, Sazzad (Daffodil International University, 23-02-12)
    80% of all living things on earth depend on forests as part of their ecosystem for food and shelter. For most of their existence, Homo humans lived in forests. Forests are at risk from forest fires. Because woods exist, ...
  • Leaf Disease Detection Using Image Processing by Comparing Two Different Algorithms 
    Tisha, Johana Kabir; Ahmed, Redwan; Koer, Sourav Narayan (Daffodil International University, 2019-05)
    Leaf diseases cause many significant damages and losses to the farmers around the world. Appropriate measures on disease identification should be introduced to prevent the problems and minimize the losses. Technical ...
  • Lychee Tree Disease Classification and Prediction Using Deep Learning 
    Akter, Sima; Ali, Md. Almas (Daffodil International University, 22-08-14)
    Bangladesh is a predominantly agricultural nation. The majority of people depend on agriculture. But it is a sad fact that the quality and quantity of our fruits are declining due to numerous diseases. People in our ...
  • A Machine Learning and Deep Learning Approach for Bengali News Headline Categorization 
    Akter, Labony; Zaman, MD Shahriar (Daffodil International University, 23-01-29)
    Internet is a thing through which a huge amount of information and data is available. As the amount of online news is increasing drastically due to the availability of internet in all parts of the world, people are also ...
  • Machine Learning Approach to Predict Sgpa and Cgpa 
    Ahmed, Md. Tanvir; Hredoy, Md. Refat Hassan (Daffodil International University, 2021-01-28)
    Prediction of the SGPA & CGPA is a helpful thing to the university students. From this project students can easily get the prediction about their final result. So, the students will able to prepare them for a good result. ...
  • A Machine Learning Approach To Predict the Chances of Drooping out Students Due to COVID-19 in University Perspective Bangladesh 
    Islam, MD. Amirul; Rahman, MD. Hasanur; Tabassum, Most. Saira (Daffodil International University, 23-01-29)
    The difficulties of COVID 19 have exposed humanity to some terrible truths. The pandemic's grip has severely harmed a number of industries, including education. Numerous days of school, college, and university closures ...

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