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Browsing by Subject "Predictive models"

Browsing by Subject "Predictive models"

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  • Computer Vision Based Skin Disorder Recognition Using Efficient net 
    Hridoy, Rashidul Hasan; Akter, Fatema; Rakshit, Aniruddha (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Skin disorders have a vital impact on people's health and quality of life, it is essential to develop a reliable and accurate computer vision approach to recognize multiple skin disorders. In this paper, a new rapid ...
  • Computer Vision Based Skin Disorder Recognition Using Efficientnet 
    Hridoy, Rashidul Hasan; Akter, Fatema; Rakshit, Aniruddha (2021 International Conference on Information Technology (ICIT), IEEE, 2021-07-26)
    Skin disorders have a vital impact on people's health and quality of life, it is essential to develop a reliable and accurate computer vision approach to recognize multiple skin disorders. In this paper, a new rapid ...
  • 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 Data Science Approach to Predict the University Students at Risk of Semester Dropout 
    Rafiq, Md Abdur; Rabbi, Abir Mahamud; Ahammad, Rasel (5th International Conference on Trends in Electronics and Informatics, ICOEI 2021; SCAD College of Engineering and Technology Tirunelveli, IEEE, 2021-06-21)
    In Bangladeshi institutions, the likelihood of student semester dropout has increased in recent years. A large number of university students, particularly in science background disciplines, are enrolled in a variety of ...
  • Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms with Relief and LASSO Feature Selection Techniques 
    Ghosh, Pronab; Azam, Sami; Jonkman, Mirjam; Karim, Asif; Shamrat, F. M. Javed Mehedi; Ignatious, Eva; Shultana, Shahana (IEEE, 2021-01-22)
    Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce mortality rates. Identifying risk factors using ...
  • IDTi-CSsmoteB 
    Mahmud, S. M. Hasan; Chen, Wenyu; Jahan, Hosney; Liu, Yongsheng; Sujan, Nasir Islam; Ahmed, Saeed (IEEE Access, 2019-04-11)
    Identifying interaction between drug and protein is a crucial challenge in drug discovery, which can lead the researchers to develop novel drug compounds or new target proteins for the existing drugs. The determination of ...
  • Looking Behind the Mask 
    Marouf, Ahmed Al; Ajwad, Rasif; Ashrafi, Adnan Ferdous (2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, IEEE, 2019-04-04)
    With the facilities of social media platforms like Facebook, Twitter, Google+, YouTube etc. people are capable of expressing their views & news, sharing moments via photos, liking, commenting and sharing others posts. The ...
  • 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 ...
  • Parametric Study of Student Learning in IT Using Data Mining to Improve Academic Performance 
    Islam, Rubyeat; Sazid, Muhammad Tawsif; Mahmud, Sharifa Rania; Ferdous, Chowdhury Nawrin; Reza, Reshad; Hossain, Syed Akhter (2019 Joint 8th International Conference on Informatics, Electronics and Vision, ICIEV 2019 and 3rd International Conference on Imaging, Vision and Pattern Recognition, icIVPR 2019 with International Conference on Activity and Behavior Computing, ABC 2019, IEEE, 2019-10-07)
    Data mining in education is a developing interdisciplinary research field also known as educational data mining (EDM). The goal is to understand students' learning process and identify the way by which they can learn to ...
  • 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 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, ...
  • A Web Based Four-Tier Architecture using Reduced Feature Based Neural Network Approach for Prediction of Student Performance 
    Hossen, Md. Anwar; Bin Alamgir, Rakib; Alam, Arman Ul; Siddika, Fatema; Hossain, Shah Fahad; Arman, Md. Shohel (IEEE, 2021-01)
    Enhancing student's performance is a significant part of developing quality education in any educational institute. It is very difficult to get promising student performance without student categorization according to their ...

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