DSpace Home
→
Faculty of Science and Information Technology
→
Department of Computer Science and Engineering
→
Project Report
→
Browsing Project Report by Subject

Browsing Project Report by Subject "Machine Learning"

Now showing items 1-20 of 318

3D Reconstruction of Colonic Polyps: A Methodology for Improved Visualization and Analysis

Ahmed, Ishtiaque; Hamim, Md. Saimim Islam Khan (Daffodil International University, 2025-05-14)

Colorectal cancer is one of the most common and life-threatening diseases worldwide, and colonoscopy remains the most effective method for early detection and removal of precancerous polyps from the human colon. However, ...
Accidental prone area detection in Dhaka Metropolitan City using machine learning models

Jerin, Foyjunnesa (Daffodil International University, 2024-01-01)

Dhaka, known for its status as one of the world's most densely populated areas, grapples with numerous challenges associated with urbanization and safety. This study focuses on identifying accident-prone zones within the ...
Accidental prone area detection in Dhaka metropolitan city using machine learning models

Jerin, Foyjunnesa (Daffodil International University, 2024-01-25)

Dhaka, known for its status as one of the world's most densely populated areas, grapples with numerous challenges associated with urbanization and safety. This study focuses on identifying accident-prone zones within the ...
Ad Click Prediction Using Machine Learning

Redoy, Abdullah All Mamun (2025-09-17)

The rapid growth of programmatic advertising has made click-through rate (CTR) prediction a cornerstone for optimizing digital marketing spend and enhancing user experience. Accurately forecasting which ad impressions will ...
Adaptive Machine Learning Techniques for Real-Time DDoS Attack Identification and Mitigation

Chowdhury, Md Nahid Hasan; Khan, Sadman (Daffodil International University, 2025-05-14)

DDoS or Distributed Denial of Service attacks are primary concern for network security, inundating victims with botnet-generated traffic to render them largely inoperable. This work explores how to utilize machine learning ...
Addressing Behavioural Patterns of LateNight Sleepers Using a Supervised Learning Approach

Supto, Neloy Pramanik; Chowdhury, Rajat (Daffodil International University, 2025-09-16)

Issues related to Sleep have become a big problem among all age Groups, As It leads to long-term physical and mental health problems. This research aims to classify medical conditions according to sleep patterns and ...
Adhd prediction using machine learning algorithms

Saniat, Sadnam (Daffodil International University, 2024-07-13)

This study analyzes the use of machine learning algorithms to predict Attention Deficit Hyperactivity Disorder (ADHD) based on a number of feature sets. A dataset from online containing demographic information, personality ...
Advancing sentiment analysis in Bengali:

Al Masud, Abdullah (Daffodil International University, 2024-01-22)

This paper presents a comprehensive study on sentiment analysis in the Bengali language, focusing on user-generated comments from online shopping websites. Despite the significant number of Bengali speakers worldwide, ...
Advancing sentiment analysis in Bengali: bridging linguistic gaps in NPL with machine and deep learning models

Al Masud, Abdullah (Daffodil International University, 2024-01-01)

This paper presents a comprehensive study on sentiment analysis in the Bengali language, focusing on user-generated comments from online shopping websites. Despite the significant number of Bengali speakers worldwide, ...
AI-Based Medical Diagnosis System for Disease Prediction Using Symtomps

Mahtab, Tahmid (Daffodil International University, 2025-09-17)

Artificial Intelligence (AI) and Machine Learning (ML) have become a prominent part of changing the healthcare sector in the modern world. Machine learning algorithms assist in early detection of diseases by providing an ...
AI-Driven Bone Fracture Detection: Leveraging Image Processing and Machine Learning on X-ray Images

Emon, Mir Md. Asif Jahan; Tisha, Esrat Jahan (Daffodil International University, 2024-07-14)

This study, titled "AI-Driven Bone Fracture Detection: Leveraging Image Processing and Machine Learning on X-ray Images," embarks on enhancing the accuracy and efficiency of diagnosing bone fractures using advanced AI ...
AI-Driven Prediction of Seedling Growth in Different Soil Media Using Machine Learning

Sen, Akash; Jerin, Rokeya Ahsan (Daffodil International University, 2025-09-17)

This work offers a data intensive framework for assessing seedling growth in various soil media by predicting plant performance from key environmental conditions. The farming yields are hampered by poor utilization of data ...
Alzheimer Disease Detection from MRI Images using Deep Learning Techniques

Ali, Mohammad Yusuf; Ryan, Md Abu (Daffodil International University, 2024-07-14)

The early detection of Alzheimer’s disease (AD) is crucial for effective interventionand management. This study explores the application of deep learning techniques toclassify MRI images into three categories: mild demented, ...
Analyzing and Predicting the Social Media Addiction Using Machine Learning

Tuhin, Hemayet Hossain; Kayum, Md Abdul (Daffodil International University, 2025-01-12)

The new reality of our modern life is social media. Modern science has given people a better civilization, increased the standard of living, but has taken away all the emotions of life. Social media has become an essential ...
Analyzing Social Media Impact on Gen Z and Gen Alpha Well-being Using Machine Learning and NLP Techniques

Islam, Mahmuda (Daffodil International University, 2025-09-16)

The rapid advancement of the digital world has greatly changed how younger generation communicate, learn, and see their place in society. As Generation Z grows up and Generation Alpha enters school, it is important to ...
Anticipating Dengue: Advanced Machine Learning for Timely Epidemic Prediction

Ferdous, Jannatul; Rahman, Md. Arafat (Daffodil International University, 2024-07-24)

This research is about finding better ways to predict and manage dengue outbreaks, a serious illness spread by mosquitoes. To enhance predictions, we are utilizing sophisticated machine learning methods and intelligent ...
Anxiety Disorder Detection Using Machine Learning Approach

Mim, Sharmin Sultana (Daffodil International University, 2024-01-01)

The objective of this research is to tackle urgent problems in the early identification of Anxiety Disorder, specifically in Bangladesh. The country is renowned for its high prevalence of this mental disorder, which is ...
Anxiety disorder detection using machine learning approach

Mim, Sharmin Sultana (Daffodil International University, 2024-01-22)

The objective of this research is to tackle urgent problems in the early identification of Anxiety Disorder, specifically in Bangladesh. The country is renowned for its high prevalence of this mental disorder, which is ...
Apartment Price Prediction of Bangladesh Using Machine Learning and Deep Learning Algorithms

Ahmed, Md. Mustak; Hossain, Mahjabeen (Daffodil International University, 2024-07-13)

The overall aim of this study is to analyze the effectiveness of different machine learning and deep learning models for apartment price prediction in terms of their accuracy and error measures, so as to determine how ...
Arabic Alphabet and Surah Pronunciation Corrections Using Deep Learning

nahar, Faijun (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)

The development of automatic speech recognition systems for Arabic presents unique challenges, particularly due to the complexities of Classical Arabic, which has been underrepresented in research. Proper pronunciation of ...

Browsing Project Report by Subject "Machine Learning"

Browsing Project Report by Subject "Machine Learning"

Search DSpace

Browse

All of DSpace

This Collection

My Account