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Browsing by Subject "Machine learning algorithms"

Browsing by Subject "Machine learning algorithms"

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  • Automated Prediction of Heart Disease Patients Using Sparse Discriminant Analysis 
    Hasan, K. M. Zubair; Datta, Shourob; Hasan, Md Zahid; Zahan, Nusrat (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-02-09)
    Linear Discriminant Analysis (LDA) is an easy and efficient method for pattern classification, while it is also broadly utilized for the initial discovery of diseases using Electronic Health Records (EHR) data. Nonetheless, ...
  • Bangla Abusive Language Detection Using Machine Learning on Radio Message Gateway 
    Ritu, Sumaiya Salim; Mondal, Joysurya; Mia, Md. Moinu; Marouf, Ahmed Al (2021 6th International Conference on Communication and Electronics Systems (ICCES), IEEE, 2021-08-02)
    In the era of modern technology, machine learning and natural language processing has been adopted to be applied in several application areas. Natural language processing consists of diversified techniques such as text ...
  • Bangladesh Metropolitan Crime Area Prediction Using Decision Tree 
    Victor, Debasish Bhattacharjee; Latif, Subhenur (2021 6th International Conference on Communication and Electronics Systems (ICCES), IEEE, 2021-08-02)
    Today's world faces many problems with crime, affecting the day to day livings and bringing general socio-economic progress to a standstill.. Different types of crimes happen daily and nightly. If it cannot be carefully ...
  • Covid-19 
    Abdullha, Abir; Abujar, Sheikh (2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), IEEE, 2021-03-16)
    Most of the countries are now affected by COVID19, COVID-19 is now the name of the biggest problem in the world. Bangladesh is also affected by COVID-19. The whole country is facing this virus as the biggest problem. So ...
  • Covid-19 
    Abdullha, Abir; Abujar, Sheikh (2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), IEEE, 2021-03-16)
    Most of the countries are now affected by COVID19, COVID-19 is now the name of the biggest problem in the world. Bangladesh is also affected by COVID-19. The whole country is facing this virus as the biggest problem. So ...
  • Customer annual income prediction using resampling approach 
    Latif, Subhenur; Lecturer, Zakia Zaman (IEEE, 2018-06-21)
    Due to the diversified nature of enormous datasets of real world, the challenging task of data mining provides interesting and powerful insights that may contribute in greater aspects. The aim of this research work is to ...
  • A Decision Support System of Selecting Groups (Science/ Business Studies/ Humanities) for Secondary School Students in Bangladesh 
    Hasan, Rifat; Ovy, Md. Khairul Alam; Nishi, Ifrat Zahan; Hakim, Md. Azizul; Hafiz, Rubaiya (IEEE, 2020-10-15)
    As education is the only way to turn a person into human resource, every country tries to give her citizens proper scope of bringing out their inner ability by offering the appropriate education. According to the education ...
  • A Deep Learning Based Approach on Categorization of Tea Leaf 
    Kamrul, Mahadi Hasan; Rahman, Majidur; Robin, Md Risul Islam; Hossain, Md Safayet; Hasan, Mohammad Hasibul; Paul, Pritom (ACM Digital Library, 2020-01-10)
    Tea grading is a very prominent factor of the tea industry. The standard, fragrance and sweetness of tea mostly relies on this grading system. This research is a step to introduce machine learning with the tea industry, ...
  • Exploring Significant Family Income Ranges of Career Decision Difficulties of Adolescents in Bangladesh Applying Regression Techniques 
    Satu, Md. Shahriare; Ahamed, Sharif; Chowdhury, Asive; Whaiduzzaman, Md (2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-04-04)
    Career Decision Making is essential part of human life. Most of the people are thinking about this since adolescence. Therefore, we should analyze significant features about career decision difficulties of adolescents in ...
  • Implementation of an Intelligent Online Job Portal Using Machine Learning Algorithms 
    Tasnim, Zarrin; Shamrat, F. M. Javed Mehedi; Allayear, Shaikh Muhammad; Ahmed, Khobayeb; Nobel, Naimul Islam (Scopus, 2021)
    Business intelligence and analytics are data management solutions implemented in companies and enterprises to collect historical and present data, while using statistics and software to analyze raw information, and deliver ...
  • 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 ...
  • Measuring the Heart Attack Possibility using Different Types of Machine Learning Algorithms 
    Keya, Maria Sultana; Shamsojjaman, Muhammad; Hossain, Faruq; Akter, Farzana; Islam, Fakrul; Emon, Minhaz Uddin (International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, 2021-04-12)
    The heart seems to be a very complicated organ in human body. If some part of the heart has been seriously damaged, the remaining part of the heart will still remain functioning. But as a result of the injury, the heart ...
  • Performance Analysis of Breast Cancer 
    Khatun, Tania; Utsho, Md. Mahfuzur Rahman; Islam, Md. Ashiqul; Zohura, Mst. Fatematuz; Hossen, Md. Sagar; Rimi, Robaiya Akter; Anni, Sabiha Jannat (2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, 2021-10)
    Nowadays, breast cancer is the most emerging disease among women both in developed as well as developing countries. Due to increased life prospects, increased urbanization, and the relinquishment of western societies, the ...
  • Performance Evaluation of Traditional Classifiers on Prediction of Credit Recovery 
    Pradhan, Mohammad Rajib; Akter, Sima; Marouf, Ahmed Al (Scopus, 2020)
    In the era of Big Data, machine learning is an emerging technique to analyze the large volume of data and is used to make critical business decisions. It is broadly used in different area such as medical, telecom, social ...
  • Predicting IMDb Rating of Movies by Machine Learning Techniques 
    Bristi, Warda Ruheen; Zaman, Zakia; Sultana, Nishat (10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE, 2019-12-30)
    Film Industry is not only a industry or a centre of entertainment, rather it is now a centre of global business. All over the world is now excited about a movie's box office success, popularity etc. A huge data is available ...
  • Predicting Satisfaction of Online Banking System in Bangladesh by Machine Learning 
    Shetu, Syeda Farjana; Jahan, Israt; Islam, Mohammad Monirul; Hossain, Refath Ara; Moon, Nazmun Nessa; Nur, Fernaz Narin (2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST), IEEE, 2021-07-30)
    Online banking refers to using your smartphone, tablet, or another internet-connected computer to browse and access your bank account. It is quick and free, and it usually allows you to perform a variety of activities, ...
  • Revisiting the Class Imbalance Issue in Software Defect Prediction 
    Sohan, Md. Fahimuzzman; Kabir, Md Alamgir; Jabiullah, Md. Ismail; Rahman, Sheikh Shah Mohammad Motiur (2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, IEEE, 2019-04-04)
    Software defect prediction is related to the testing area of software industry. Several methods have been developed for the prediction of bugs in software source codes. The objective of this study is to find the inconsistency ...
  • Sentiment Analysis From Depression-related User-generated Contents from Social Media 
    Saha, Ananna; Marouf, Ahmed Al; Hossain, Rafayet (2021 8th International Conference on Computer and Communication Engineering (ICCCE), IEEE, 2021-07-01)
    In this paper, we try to detect the sentiment levels such as positive, negative and neutral sentiments from depression related posts and comments generated in social media platforms. Social media platforms such as Facebook, ...

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