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  • A Machine Learning Approach to Automating Bengali Voice Based Gender Classification 
    Badhon, S.M. Saiful Islam; Rahaman, Md. Habibur; Rupon, Farea Rehnuma (IEEE, 2019-11)
    Does thicker vocal folds produce sounds with longer wavelength? And can they produce higher pitches to human ears? We address these types of questions and try to identify the difference between male and female voices. By ...
  • 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 Comparing Different Regression Models to Predict Bangladesh Life Expectancy using Multiple Depend Features 
    Jannat, Fatema Tuj (Daffodil International University, 2022-02-17)
    The average longevity of a person is measured by life expectancy. The length of one's life is determined by a number of factors. We utilized GDP, rural population growth, urban population growth, services value, industry ...
  • A Machine Learning Approach to Detect the Brain Stroke Disease 
    Akter, Bonna; Rajbongshi, Aditya; Sazzad, Sadia; Shakil, Rashiduzzaman; Biswas, Jahanur; Sara, Umme (Daffodil International University, 2022-03-15)
    The brain, which comprises the cerebrum, cere-bellum, and brainstem and is covered by the skull, is a very complex and intriguing organ in the human body. Stroke is the world's second-leading cause of mortality; as a result, ...
  • Machine Learning Approach to Find Students' Best Place to Study 
    Nooder, Jarin; Mahbuba, Ashrarfi; Sharmin, Shayla; Moon, Nazmun Nessa; Poushy, Lamisha Haque; Bhuiyan, Salauddin Ahmed; Nawshin, Samia (2021 2nd International Conference on Innovative and Creative Information Technology (ICITech), IEEE, 2021-11-15)
    Students are a country's backbone. The appropriate surroundings for studying must be provided for them. Of all these criteria, a place where you may locate the appropriate setting for your requirements is the most important. ...
  • 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 Rainfall Amount of Dhaka 
    Gazi, Abdul Jabbar (Daffodil International University, 2021)
    Weather Prediction is getting very popular in the current era of Artificial Intelligence. And it is very important to predict rainfall amount in a country like Bangladesh where 50% of people is a farmer. Because the ...
  • A Machine Learning Approach to Predict SEER Cancer 
    Abid, DM. Mehedi Hasan; Islam, Tariqul; Zaman, Zahura; Yusuf, Fahim; Assaduzzaman, Md.; Hossain, Syed Akhter; Jabiullah, Md. Ismail (Springer, 2022-07-27)
    The SEER database is among the persuading stores regarding malignancy pointers inside us. The SEER list helps impact investigation for the gigantic measure of patients’ bolstered viewpoints for the most part ordered as an ...
  • 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. ...
  • Machine Learning Approach to Predict SGPA and CGPA 
    Saifuzzaman, Mohd.; Parvin, Masuma; Jahan, Israt; Moon, Nazmun Nessa; Nur, Fernaz Narin; Shetu, Syeda Farjana (2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST), IEEE, 2021-07-30)
    The prediction of SGPA and CGPA is beneficial to university students. Students will easily get an estimate of their final outcome from this project. As a result, the students will be able to brace themselves for a successful ...
  • 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 ...
  • A Machine Learning Approach to Recognize Junk Food 
    Khan, Tanjed Ahmed; Islam, Md. Shahidul; Ullah, S.M Aman; Rabby, AKM Shahariar Azad (Scopus, 2020)
    People are naturally food grains. So they are always looking for appetizing food and junk foods are the largest source of it. Recent time the most observable point is that peoples are attracted to outdoor foods than homemade ...
  • A Machine Learning Approach to Recognize Speakers Region of the United Kingdom from Continuous Speech Based on Accent Classification 
    Hossain, Md. Fahad; Hasan, Md. Mehedi; Ali, Hasmot; Rasel Sarker, Md Rahmatul Kabir; Hassan, Md. Toukirul (IEEE, 2020-12)
    Speech is one of the primary modes of communication with a lot of identical features for measuring performance and behavior of human voice. Accent is an important element and can play a vital role in spoken language. In ...

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