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Now showing items 1968-1987 of 3422

A machine learning and deep learning approach for Baengali newspaper headline categorization

Dola, Shamrita Tazbin (Daffodil International University, 2024-01-01)

The internet world is called a repository of information and data. Where there is a huge amount of information and data collection. Through internet people can access any kind of information and data from any place at ...
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 and Deep Learning Approaches to Predict Early Stage of Diabetes

Baidya, Sonnet (Daffodil International University, 2024-01-29)

This study offers a thorough methodology that makes use of a variety of deep learning and machine learning algorithms to predict early stage of diabetes. Recurrent neural networks (RNN), Feedforward Neural Networks (FNN), ...
A Machine Learning and Web-Based Autonomous Agricultural System for Crop and Fertilizer Recommendation and Yield Prediction

Shuvessa, Silvia Kh (Daffodil International University, 23-02-08)

In the world, agriculture is recognized as a crucial economic factor since it meets one of civilization's most basic necessities, namely food. In the majority of nations, it is recognized as the primary source of revenue. ...
Machine Learning Approach for Insomnia Early Diagnosis in Perspective of Bangladesh

Tasfia, Orin (Daffodil International University, 2024-01-01)

This research addresses the early detection of insomnia in Bangladesh, focusing on young adults affected by extensive phone and social media use. Using machine learning techniques like Logistic Regression, SVM, Decision ...
Machine Learning approach for predicting temperature in Bangladesh

Rizvee, Md. Arif (Daffodil International University, 2018-12)

Our country has six seasons. Though temperature remain high during summer season in Bangladesh. For global worming Bangladesh weather is also changing. As a result temperature in Bangladesh is increasing day by day. For ...
A Machine Learning Approach for Vegetable Recognition

Uddin, Md. Nasir; Alam, Md. Ashraful; Shafayet, Abdullah Al (Daffodil International University, 2021-09-09)

In perceiving objects in an image, computer vision and example recognition is an emerging territory. The advances in perceiving objects in pictures have a wide range of applications, including frameworks for discovering ...
A Machine Learning Approach for Vegetable Recognition

Uddin, Md. Nasir; Alam, Md. Ashraful; Shafayet, Abdullah Al (Daffodil International University, 2021-09-09)

In perceiving objects in an image, computer vision and example recognition is an emerging territory. The advances in perceiving objects in pictures have a wide range of applications, including frameworks for discovering ...
Machine Learning Approach To Classify Mango

Al Asif, Abu Abdullah; Rahman, MD Habibur (Daffodil International University, 23-01-29)

Our research titled "Machine Learning Approach To Classify Mango" is focusing the people not recognize mango species. Our work images in this research use deep learning, also known as machine learning. Python is used as a ...
A Machine Learning Approach to Classify Singular and Plural Numbers of Bengali Words

Abu Yousuf, Mohammad; Sonia, Sharmin Sultana (Daffodil International University, 2021-06-01)

This paper discusses a method for detecting the singular and plural number of Bengali sentences using context-sensitive grammar rules and NLP that accepts almost all types of Bangla words. The study is likely to result ...
Machine Learning Approach to Classify Taro Leaf

Sarkar, Sohag Kumar (Daffodil International University, 23-01-18)

This project is titled “MACHINE LEARNING APPROACH TO CLASSIFY TARO LEAF ‘The traditional method of image recognition is to extract features manually, which cannot solve this problem well due to the complex background of ...
A Machine Learning Approach to Find Students’ Satisfaction From Home Vs Hostel in Bangladesh

Nooder, Jarin; Mahbuba, Ashrarfi (Daffodil International University, 2021-01-31)

Students are the backbone of a nation. We have to offer them the best requirements they need for their study. Among all these needs, the most important one is where they can get the perfect atmosphere as per their ...
A Machine Learning Approach to Identify Students Affected in Bangladesh Using Mobile Phone

Rabbi, Md. Fojle (Daffodil International University, 2022-01-19)

The titled “A Machine Learning Approach to Identify Students Affected in Bangladesh Using Mobile Phone” the study focuses on a mobile device with powerful hardware a capability that enables a wide range of software, ...
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 Social Media Addiction of Bangladeshi People during COVID-19

Akter, Meherin; Ritu, Kaniz Fatima (Daffodil International University, 2022-01-04)

The world is in an extremely precarious situation, with coronavirus posing a serious threat. To be safe, staying at home is the best option right now. People nowadays spend the significant amount of their time on social ...
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 ...
A Machine Learning Approach To Predict the Quality of Drinkable Water From Different Source

Ranu, Khadiza Akter (Daffodil International University, 23-01-18)

Machine learning is now a crucial technique for data analysis, classification, and prediction due to the exponential growth in the amount of data available on the aquatic environment. Data-driven models based on machine ...
Machine Learning Approach to Predict the Quality of Drinkable Water from Different Sources

Tuz Jahura, Fatema (Daffodil International University, 2024-01-01)

Machine learning (ML) is revolutionizing the field of aquatic environment research by offering advanced tools for analyzing, classifying, and predicting data. This study delves into the use of ML algorithms, particularly ...
Machine Learning Approach to Predict Tomato Leaf Disease

Akter, Shumaya (Daffodil International University, 2023-09-02)

The machine learning approach used in this thesis uses a large dataset of leaf photos and associated disease labels to predict tomato leaf diseases. A large number of tomato leaf photos, comprising both healthy and diseased ...
Machine Learning Based Approach for Predicting Diabetes in Young People of Bangladesh

Dipto, Prodipto Roy (Daffodil International University, 2021-05-31)

Diabetes is one of the deadly chronic diseases that occurs when the sugar level in the blood increases abnormally due to the absence of insulin hormone. Untreated Diabetes could lead a human to his/her death. In Bangladesh, ...

Now showing items 1968-1987 of 3422

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