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  • A Machine Learning Approach to Analyze and Reduce Features to a Significant Number for Employee’s Turn Over Prediction Model 
    Alam, Mirza Mohtashim; Mohiuddin, Karishma; Islam, Md. Kabirul; Hassan, Mehedi; Hoque, Md. Arshad-Ul; Allayear, Shaikh Muhammad (Scopus, 2020)
    Turnover of employee considers as one of the major issue that every company faces. Especially, if the employee has advance skills at his/her working field, then the company faces great loss during that period. To find out ...
  • 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 ...
  • 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 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 
    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 ...

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