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  • A Machine Learning Approach for Driver Identification 
    Ali Khan, Md. Abbas; Ali, Mohammad Hanif; Haque, Fazlul; Habib, Md. Tarek (Institute of Electrical and Electronics Engineers Inc., 2023-04-15)
    Driver identification is a momentous field of modern decorated vehicles in the perspective of the controller area network (CAN-Bus). Many conventional systems are used to identify the driver. One step ahead, most of the ...
  • A Machine Learning Approach for Emotion Classification in Bengali Speech 
    Islam, Md. Rakibul; Akhi, Amatul Bushra; Akter, Farzana; Rashid, Md Wasiul; Rumu, Ambia Islam; Lata, Munira Akter; Ashrafuzzaman, Md. (Institute of Electrical and Electronics Engineers Inc., 2023-01-01)
    In this research work, we have presented a machine learning strategy for Bengali speech emotion categorization with a focus on Mel-frequency cepstral coefficients (MFCC) as features. The commonly utilized method of MFCC ...
  • A Machine Learning Approach for Predicting the Sunspot of Solar Cycle 
    Khan, Thaharim; Arafat, Faisal; Mojumdar, Mayen Uddin; Rajbongshi, Aditya; Siddiquee, Shah Md Tanvir; Chakraborty, Narayan Ranjan (IEEE, 2020-07)
    Sunspots are the fascinating things on the periphery which is the reason it would be all the more captivating if sunspots become predictable. Sunspot number (SSN) is used in this regard to predicting the Solar Cycle (SC) ...
  • A Machine Learning Approach for Risk Factors Analysis and Survival Prediction of Heart Failure Patients 
    Ali, Md. Mamun; Al-Doori, Vian S.; Mirzah, Nubogh; Hemu, Asifa Afsari; Mahmud, Imran; Azam, Sami; Al-tabatabaie, Kusay Faisal; Ahmed, Kawsar; Bu, Francis M.; Moni, Mohammad Ali (Elsevier, 2023-04-18)
    In this study, we propose machine learning (ML) for risk factors analysis and survival prediction of Heart Failure (HF) patients using a survival dataset. Five supervised ML methods are applied to the dataset: Decision ...
  • A Machine Learning Approach for Sentiment Analysis of Book Reviews in Bangla Language 
    Khatun, Mst. Eshita; Rabeya, Tapasy (Daffodil International University, 2022-05-30)
    With the advent of technology, Sentiment polarity detection has recently piqued the interest of NLP researchers. Sentiment analysis determines the profound meaning of an article. Due to COVID-19 pandemic, online shopping ...
  • Machine Learning Approach for Software Defect Prediction 
    Hossen, Md Anwar; Islam, Md. Shariful; Yusof, Nurhafizah Abu Talip; Rahman, Md. Sakib; Siddika, Fatema; Rahman, Mostafijur; Khatun, Sabira; Karim, Mohamad Shaiful Abdul; Mahmud, S. M. Hasan (Lecture Notes in Electrical Engineering, Springer, 2020-03-24)
    The software has turn into an imperious part of human’s life. In the recent computing era, many large-scale complex network systems and millions of modern technological devices produce a huge amount of data every second. ...
  • 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 ...

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