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Browsing DIU Faculty Publication by Title

Browsing DIU Faculty Publication by Title

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  • 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 class level prediction of restaurant reviews 
    Hossain, F. M. Takbir; Hossain, Md. Ismail; Nawshin, Samia (IEEE, 2018-02-12)
    Nowadays with the proliferation of location aware technologies and smart phones people tend to give reviews for all types of products services and place them online. It is very important to extract knowledge or information ...
  • 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 Modeling for Reconditioned Car Selling Price Prediction 
    Abdullah, Fatema; Rahman, Md. Ataur; Shidujaman, Mohammad; Hasan, Mahady; Habib, Md. Tarek (SPIE Publications, 2023-09-19)
    Almost 80% of the vehicles required for Bangladesh's road transportation industry are supplied by reconditioned cars. Using machine learning (ML) to predict car prices refers to using ML algorithms and techniques to make ...
  • 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 Technique Based Fake News Detection 
    Sutradhar, Biplob Kumar; Zonaid, Md.; Ria, Nushrat Jahan; Noori, Sheak Rashed Haider (IEEE, 2023-01-15)
    False news has received attention from both the general public and the scholarly world. Such false information has the ability to affect public perception, giving nefarious groups the chance to influence the results of ...
  • 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 ...
  • Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics 
    Rahman, Md. Ashikur; Abdulrazak, Lway Faisal; Ali, Md. Mamun; Mahmud, Imran; Ahmed, Kawsar; Bui, Francis M. (MDPI Publications, 2023-10-29)
    Diabetes is one of the fatal diseases that play a vital role in the growth of other diseases in the human body. From a clinical perspective, the most significant approach to mitigating the effects of diabetes is early-stage ...
  • 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 Depression Detection 
    Biswas, Saikat; Islam, Md.Mozahidul; Sarker, Utpaul; Hridoy, Rashidul Hasan; Habib, Md. Tarek (Springer Nature, 2023-04-14)
    Depression is an extremely serious illness of humans which causes constant mood swings and feelings of sadness. Nowadays, it is considered to be a deadly disorder in the world. At present, everyone from young to old is ...
  • Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques 
    Biswas, Niloy; Ali, Md Mamun; Rahaman, Md Abdur; Islam, Minhajul; Mia, Md. Rajib; Azam, Sami; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Moni, Mohammad Ali (Hindawi Publications, 2023-05-02)
    Almost 17.9 million people are losing their lives due to cardiovascular disease, which is 32% of total death throughout the world. It is a global concern nowadays. However, it is a matter of joy that the mortality rate due ...
  • 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. ...
  • Machine Learning-Based Technique for Gain and Resonance Prediction of Mid Band 5G Yagi Antenna 
    Haque, Md. Ashraful; Rahman, Md Afzalur; Al‑Bawri, Samir Salem; Yusoff, Zubaida; Sharker, Adiba Haque; Abdulkawi, Wazie M.; Saha, Dipon; Paul, Liton Chandra; Zakariya, M. A. (Springer, 2023-08-03)
    In this study, we present our findings from investigating the use of a machine learning (ML) technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 band for 5G applications. This research study ...
  • Machine Learning-Based Technique for Resonance and Directivity Prediction of UMTS LTE Band Quasi Yagi Antenna 
    Haque, Md. Ashraful; Saha, Dipon; Al-Bawri, Samir Salem; Paul, Liton Chandra; Rahman, Md Afzalur; Alshanketi, Faisal; Alhazmi, Ali; Rambe, Ali Hanafiah; Zakariya, M.A.; Hashwan, Saeed S. Ba (Elsevier, 2023-09-01)
    In this study, we have presented our findings on the deployment of a machine learning (ML) technique to enhance the performance of LTE applications employing quasi-Yagi-Uda antennas at 2100 MHz UMTS band. A number of ...
  • 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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