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  • 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 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 ...
  • Machine Learning Approaches to Predict Breast Cancer 
    Islam, Taminul; Kundu, Arindom; Khan, Nazmul Islam; Bonik, Choyon Chandra; Akter, Flora; Islam, Md. Jihadul (Daffodil International University, 2022-06-20)
    Nowadays, Breast cancer has risen to become one of the most prominent causes of death in recent years. Among all malignancies, this is the most frequent and the major cause of death for women globally. Manually diagnosing ...
  • Machine Learning Based Image Classification of Papaya Disease Recognition 
    Islam, Md. Ashiqul; Islam, Md. Shahriar; Hossen, Md. Sagar; Emon, Minhaz Uddin; Keya, Maria Sultana; Habib, Ahsan (2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 2020-12-28)
    To help farmers and rural people of Bangladesh, many research works are proposed in the recent years to recognize the papaya diseases that takes a great deal of advantage in machine learning fields. This research is mainly ...
  • Machine Learning Based Recommendation Systems for the Mode of Childbirth 
    Kowsher, Md.; Prottasha, Nusrat Jahan; Tahabilder, Anik; Islam, Md. Babul (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    Machine learning method gives a learning technique that can be applied to extract information from data. Lots of researches are being conducted that involves machine learning techniques for medical diagnosis, prediction ...
  • Machine Learning Based Slow Learner Prediction in Educational Sector 
    Ela, N.N.; Jahan, N. (Proceedings of the 5th International Conference on Trends in Electronics and Informatics, Scopus, 2021)
    The educational sector has been proved to be a major sector where improvement measures are a must to develop the system and the curriculum which changes in every few years. Students state that in order to cope with the ...
  • Machine Learning Prediction of Consumer Travel Insurance Purchase Behavior 
    Rubi, Maksuda Akter; Bijoy, Md. Hasan Imam; Chowdhury, Shanjida; Islam, Khairul (Daffodil International University, 2023-04-09)
    Travel insurance covers the expenses and losses related to travelling which is helpful security for travelers domestically or abroad. The goal of the study is to see whether a consumer is interested in buying travel insurance ...
  • Machine Learning Techniques for Depression Analysis on Social Media- Case Study on Bengali Community 
    Bhattacharjee, Debasish; Kawsher, Jamil; Labib, Md Shad; Latif, Subhenur (2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 2020-12)
    Depression is a prevalent illness in today’s society. It changes and influences our entire method of thought and our emotional, cognitive, and everyday behavioral behaviors. It affected over 264 million people, and the ...
  • Machine Learning Techniques for Predicting Surface EMG Activities on Upper Limb Muscle 
    Roy, Joy; Ali, Md. Asraf; Ahmed, Md. Razu; Sundaraj, Kenneth (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, 2020-07-30)
    The aim of this review study is to analyze the techniques for predicting the surface EMG activities on upper limb muscles using different machine learning algorithms. In this study, we followed a systematic searching ...
  • Machine Learning to Reveal an Astute Risk Predictive Framework for Gynecologic Cancer and Its Impact on Women Psychology 
    Asaduzzaman, Sayed; Ahmed, Md. Raihan; Rehana, Hasin; Chakraborty, Setu; Islam, Md. Shariful; Bhuiyan, Touhid (BMC Bioinformatics, Springer, 2021-04-24)
    Background In this research, an astute system has been developed by using machine learning and data mining approach to predict the risk level of cervical and ovarian cancer in association to stress. Results For functioning ...
  • A Machine Learning-Based Approach for Sentiment Analysis of Movie Reviews on a Bangladeshi OTT Platform 
    Jahan, Hasnur; Arman, Md. Shohel; Hasan, Afia; Bristy, Sabikun Nahar (Springer, 2023-12-15)
    Sentiment analysis is the examination of feelings and viewpoints in any kind of literature. Opinion mining is another phrase for sentiment analysis. The data’s sentiment analysis is quite helpful, to convey the collective, ...
  • Machine Learning-based Statistical Analysis for Early Stage Detection of Cervical Cancer 
    Ali, Md Mamun; Ahmed, Kawsar; Bui, Francis M.; Paul, Bikash Kumar; Ibrahim, Sobhy M.; Quinn, Julian M.W.; Moni, Mohammad Ali (Computers in Biology and Medicine, Elsevier, 2021-12)
    Cervical cancer (CC) is the most common type of cancer in women and remains a significant cause of mortality, particularly in less developed countries, although it can be effectively treated if detected at an early stage. ...
  • A Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer 
    Mridul, Aunik Hasan; Islam, Md. Jahidul; Asif, Asifuzzaman; Rahman, Mushfiqur; Alam, Mohammad Jahangir (Springer, 2023-05-23)
    Breast cancer is a physical disease and increasing in recent years. The topic is known widely in the recent world. Most women are suffering from problem of breast cancer. The disease is measured by the differences between ...
  • A Machine Vision Approach for Recognizing Coastal Fish 
    Raihan, Afiq; Sharmin, Israt; Khan, B M Marjan; Jabiullah, Md. Ismail; Habib, Md. Tarek (Scopus, 22)
    t Coastal fish is one of the prominent marine resources, which takes a necessary role in the economic growth of a country. Because of environmental issues along with other reasons, not only most of the marine resources ...
  • Machine Vision Based Local Fish Recognition 
    Sharmin, Israt; Islam, Nuzhat Farzana; Jahan, Israt; Joye, Tasnem Ahmed; Rahman, Md. Riazur; Habib, Md. Tarek (SN Applied Sciences, Springer, 2019-11-01)
    Bangladesh has its own abundance of water resources which helps to identify its customs that are related to freshwater fish. Due to environmental issues along with some other reasons, the amount of water resources of ...
  • Machine vision based papaya disease recognition 
    Habib, Md. Tarek; Majumder, Anup; Jakaria, A.Z.M.; Akter, Morium; Uddin, Mohammad Shorif; Ahmed, Farruk (Elsevier B.V., 2018-06-18)
    Over the years little research has been performed for vision-based papaya disease recognition system in order to help distant farmers, most of whom require proper support for cultivation. Due to advancement of vision-based ...
  • Machine Vision Based Papaya Disease Recognition 
    Habib, Md. Tarek; Majumder, Anup; Jakaria, A.Z.M.; Akter, Morium; Uddin, Mohammad Shorif; Ahmed, Farruk (Journal of King Saud University - Computer and Information Sciences, Elsevier, 2020-03)
    Over the years little research has been performed for vision-based papaya disease recognition system in order to help distant farmers, most of whom require proper support for cultivation. Due to advancement of vision-based ...
  • Machine Vision Based Potato Species Recognition 
    Nuruzzaman, Md.; Hossain, Md. Shahadat; Rahman, Md. Mostafijur; Shoumik, Ahete Shamul Haque Chowdhury; Khan, Md. Abbas Ali; Habib, Md. Tarek (5th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 2021)
    Potato is one of the tasteful vegetable in the list of our daily delicious food. At present, there are 42000 kind of potatoes available in the world. In Bangladesh, we cultivate 82 species every year. Potatoes are used for ...
  • Machine Vision Based Rice Disease Recognition by Deep Learning 
    Kamrul, Mahadi Hasan; Paul, Pritom; Rahman, Majidur (22nd International Conference on Computer and Information Technology, ICCIT 2019, IEEE, 2020-03-19)
    Bangladesh is a land of agriculture, where people consumes rice as the main meal for three times a day. Rice is undoubtedly the most cultivated crop in Bangladesh. Like every other crops, rice also gets affected by a lots ...

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