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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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  • Bangla Handwritten Digit Recognition Using Convolutional Neural Network 
    Datta, Dip (Daffodil International University, 23-02-18)
    Handwritten digit recognition is the process of automatically identifying and interpreting handwritten digits, such as those found on a bank check or a handwritten phone number. In Bangladesh, this technology could be used ...
  • Bangla Hate Speech Detection by Machine Learning 
    Choudury, Md. Asfi Hossain (Daffodil International University, 2022-01-02)
    The type of speech that takes place online intends to attack an individual or a group based on religion, ethnicity, gender, disability and even based on the color of their skin. Some popular social media in Bangladesh ...
  • Bangla movie success prediction using machine learning 
    Nasrin, Sonia (Daffodil International University, 2019-05-26)
    In present world, machine learning techniques and models are used to predict future. Prediction the movie success before its release has been an immense point of concern for movie industry related all people, especially ...
  • Bangla News Article Categorization Using Machine Learning 
    Haque, MD Al Shahriar; Shawda, Umme (Daffodil International University, 23-02-12)
    Bangla language got familiar many years ago in the world and Many online Bangla news portals are growing day by day. We can get news within a few seconds with their help of them. Some media are telecasting news by live ...
  • Bangladesh Related Factoid Question Classification Using Machine Learning Techniques 
    Hossain, MD. Jahid; Hossain, MD. Nahid; Nowmi, Sadiha (Daffodil International University, 23-01-29)
    Question answering (QA) is a branch of natural language processing research that is aimed to give human users a simple and practical information retrieval application. Despite being one of the most widely spoken languages ...
  • Bengali Abstractive Text Summarization Using Deep Learning 
    Talukder, Md. Ashraful Islam; Masum, Abu Kaisar Mohammad (Daffodil International University, 2019-12)
    A human can describe his mood with the help of text. Therefore understanding the meaning of the text is very important. Sometimes, it is hard to understand the meaning of those texts, alongside this is also time consuming. ...
  • Bengali Fake News Detection Using Machine Learning 
    Balo, Aditi; Islam, Jamiul; Baki, Abdullah Al (Daffodil International University, 2019-05)
    This project based on NLP (Natural Languages Processing) techniques. The aim of this project is to identify the fake news of non-reputed news portal and to deliver the natural news or actual news to the news reader. As ...
  • Bengali Functional Sentence Classification through Machine Learning Approach 
    Biswas, Antara; Rahman, Musfiqur; Orin, Zahura Jebin (Daffodil International University, 2022-01-04)
    In the early days, very few studies were effectuated in Bengali Languages as well as its functional sentence. However, studies on Bengali have grown exponentially due to structural diversity. Inspired by these studies, ...
  • Bengali Functional Sentence Classification through Machine Learning Approach 
    Biswas, Antara; Rahman, Musfiqur; Orin, Zahura Jebin (Daffodil International University, 2022-01-04)
    In the early days, very few studies were effectuated in Bengali Languages as well as its functional sentence. However, studies on Bengali have grown exponentially due to structural diversity. Inspired by these studies, ...
  • Bengali News Headline Categorization Using ML Approach 
    Rahman, MD. Shajadur (Daffodil International University, 23-01-29)
    One of the most well-liked applications of natural language processing is text classification. Bengali is becoming more and more popular in this subject, much as many other languages, and the most well-known effort here ...
  • A Bengali Text Summarization Using Encoder-decoder Based on Social Media Dataset 
    Rahat, Minhajul Abedin; Mahdi, Md. Tahmid Alie - Al –; Fouzia, Fatama Akter (Daffodil International University, 2021-01-27)
    Text summarization defines artifices of reducing a long document to create a tale of the main aims of the original text. Due to the huge number of long posts nowadays, the value of summarization is produced. Reading the ...
  • Book Review Sentiment Analysis by NLP and Machine Learning in Bangla Language 
    Sourav, Mosiour Rahman (Daffodil International University, 22-09-13)
    Due to good consumer comments and reviews throughout the web, sentiment polarity detection has lately piqued the interest of NLP experts. The continued growth of e-commerce sites raises the purchasing rate of diverse items. ...
  • Brain Tumor Detection and Classification Using Deep Learning From Magnetic Resonance Images 
    Molla, Shourav; Azam, MD. Ali (Daffodil International University, 23-01-29)
    Brain tumors are the most conventional and aggressive illness and have an extremely low life expectancy in its most severe form. Uncontrolled growth as well as proliferation of skull cells results in the formation of brain ...
  • Brain tumor detection from MRI medical images based on machine learning algorithms 
    Omy, Jannatul Faria (Daffodil International University, 2023-12-21)
    This study aims to develop an efficient and accurate system for the early detection of brain tumors using machine learning algorithms applied to magnetic resonance imaging (MRI) medical images. Brain tumor occurs because ...
  • Breast Cancer Classification Using Machine Learning 
    Ahmed, MD. Tanzir; Biswas, Pranto (Daffodil International University, 23-01-29)
    Breast cancer is currently the most common cancer globally and exceedingly threatening pointedly amidst women. Due to the complexity of breast tissues, accurate discerning and categorization of breast cancer is a crucial ...
  • Breast Cancer Detection Using Machine Learning 
    Meem, Momenunnessa (Daffodil International University, 23-02-12)
    Breast tissues swell and grow out of control, generating a lump or fine layer as just cancer. This is how breast cancer arises. The second most widespread cancer in girls, after melanoma, is breast cancer. Women above Fifty ...
  • Breast Cancer Prediction Using Machine Learning 
    Khan, Raihan Jami (Daffodil International University, 23-01-29)
    Nowadays, Breast cancer is one of the foremost causalities, and it's the second most familiar reason for death for women. Circulation of distal organ tumors is the primary cause of death from breast cancer. Breast cancer ...
  • Breast Cancer Prediction Using Machine Learning Algorithms Based on Wisconsin Breast Cancer Dataset 
    Shyonton, Md. Sazith; Paul, Moumita (Daffodil International University, 2021-01-05)
    Cancer is deadly disease which is caused due to uncontrolled growth of the cells and forms from the extra mass tissue known as tumor. There are over 200 types of cancer. Breast cancer represents one of the diseases that ...
  • Breast Cancer Prediction Using Machine Learning Approaches 
    Raihan, Md. Abu; Akter, Yeasmin; Sarker, Dipto (Daffodil International University, 2019-12)
    The main aspect of this study is to evaluate the different Machine learning classifiers performance for prediction of breast cancer disease.In this work, we have used six supervised classification techniques for the ...
  • Breast Cancer Prediction Using Machine Learning Approches 
    Ferdous, Mst. Rukaia (Daffodil International University, 23-01-29)
    Breast Cancer is used as a kind of death every year. It's the most considered normal kind of disease in ladies and the main smite of death all around the world. Quite possibly of the most significant and fundamental ...

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