SEUIR Repository

Browsing by Subject "Machine Learning"

Browsing by Subject "Machine Learning"

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  • Analysis on the use of information systems research methods in data mining 
    Hanees, A.L; Dahana, H (Faculty of Applied science South Eastern University of Sri Lanka Oluvil # 32360 Sri Lanka, 2014)
    Data mining and knowledge discovery in Information system research have been attracting a significant amount of research domains. Information systems are powerful instruments for organizational problem solving through ...
  • Comparative analysis of machine learning algorithms along with lexical analyzers for sentiment analysis in Tamil Language 
    Shafana, A. R. F.; Nihla, M. I. F.; Musfira, A. F.; Naja, M. M. F. (South Eastern University of Sri Lanka, Oluvil, Sri Lanka., 2022-05-25)
    The proliferation of social media enables the public to express their views and perceptions readily online. Twitter is one such platform that helps in obtaining a huge amount of textual data and performing useful ...
  • Comparative study of predicting book review using machine learning algorithms 
    Shibly, F. H. A.; Uzzal, Sharma; Naleer, H. M. M. (Faculty of Arts and Culture, South Eastern University of Sri Lanka., 2022-02-03)
    Reviews and Comments on the products and services customers post on mass online shopping websites like Amazon will help many customers make their purchasing decisions. People use Amazon every day for online shopping ...
  • Detecting Hate Speech through Machine Learning 
    Shibly, Firthouse Hassan Ahamed; Sharma, Uzzal; Naleer, HMM (Apple Academic Press, Taylor & Francis Group, 2022-02-03)
    Hatred and abusive speeches are identified as huge crime that have been incrementing very recent years, and this has been not only in the specific interaction done face to face but preferably also in the online sharing of ...
  • Ear recognition using edge detection algorithms 
    Akmal Jahan, M. A. C.; Masroofa, A. F. (Faculty of Applied Sciences, South Eastern University of Sri Lanka, Sammanthurai., 2023-12-14)
  • An ensemble approach to detect hate speech in Tamil tweets 
    Shibly, F. H. A.; Sharma, Uzzal; Naleer, H. M. M. (Faculty of Islamic Studies and Arabic Language, South Eastern University of Sri Lanka, University Park, Oluvil., 2022-09-28)
    People have converged on a worldwide level because of advancements in communication technologies. They are critical in ensuring freedom of speech by allowing individuals to express their thoughts, behaviors, and opinions ...
  • Intelligent, secured smart app for complete diabetes lifestyle management –“Diabeta” 
    Jayasekara, J. T. N. N.; Gunasekera, R. H.; Ravindu Hasanka, V. G.; Hasintha Kashmika, H. B. G.; Suriyaa Kumari, P. K.; Ravi Supunya Swarnakanthac, N. H. P. (Faculty of Applied Sciences, South Eastern University of Sri Lanka, Sammanthurai., 2022-11-15)
    Especially today's society tends to use new technological devices instead of relying on on document materials in daily life. While there are diabetes-related apps that more accurately predict users' prediabetes or ...
  • Smart doc: an ai driven disease prediction and consultant direction smart system 
    Alan Steve, A.; Amani, M. J. A.; Akmal Jahan, M. A. C. (Faculty of Applied Sciences, South Eastern University of Sri Lanka, Sammanthurai., 2023-12-14)
    Numerous developing nations, including Sri Lanka, struggle with healthcare challenges stemming from insufficient personnel, a scarcity of modern medical equipment, and a lack of contemporary hospitals in rural areas, ...
  • Smart healthcare platform for elderly monitoring with emerging technologies 
    Mansoor, C. M. M. (Faculty of Arts and Culture, South Eastern University of Sri Lanka, University Park, Oluvil., 2021-12)
    Due to the obvious fast growing aging population and the attendant health difficulties, it is seen as a major problem in society. Remote health monitoring is one of the most rapidly growing sectors, owing to its advantages ...
  • Training computers to recognize facial expressions of humans: a machine learning approach 
    Mohamed Nizzad, Ahamed Rameez; Kunarakulan, Kunaratnam (Faculty of Management and Commerce South Eastern University of Sri Lanka, 2020-06-25)
    Humans are precise in facial expressions and recognizing them. Facial expression is a routine task of humans. Training Computers to recognize such humanly task as closed to humans can be useful in numerous ways such as ...