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Browsing by Subject "Random Forest"

Browsing by Subject "Random Forest"

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  • Harankahawatta, Archana (2025)
    Neurodevelopmental disorders such as Attention Deficit/Hyperactivity Disorder (ADHD) can lead to lifelong negative impacts if not identified and managed early. Affecting approximately 5–7% of children globally, early ...
  • Ramesh, Chyrus (2022)
    The data is expanding at such a rapid rate in banks nowadays, bankers must examine a person's data before granting a loan amount, there is always a major risk associated when a financial institution lends money to them. ...
  • Kumara, Diman Randisa (2025)
    Manual latex weighing and attendance recording in the rubber plantation industry often lead to inconsistencies, inefficiencies, and frequent human errors. These outdated methods negatively impact data quality, decision-making, ...
  • Thejana, P. W. G. B. N (2021)
    " The human brain is not just a device for interpreting information; it is also a system in which cognitive and affective processes are intimately connected. Any learning process involves this interaction between ...
  • Pathiranage, Kemal (2022)
    "Road accidents are having a huge impact on the people globally. The objective of the study is to address rate of increasing traffic accidents that is a huge problem to the whole world. Sri Lanka is a low-income country ...
  • Srikantha, Anojan (2023)
    Generally, retail investors with low net worth do not have regular access to insights and information with respect to constructing optimal portfolios. On the other hand, professional investment managers have access to ...
  • Fazli, Hakeem (IIT, 2023)
    "The goal of this study is to make an IoT-based Crop Recommendation System that will help home gardeners get the most out of their crops while having less of an effect on the environment. With the world's population growing ...
  • Chandramohan, Kavyavarshaa (2022)
    This paper presents an overview of how to predict home expenses using several variables such as the property's area, floor space, and number of levels, among others. To get the most efficient and less error-caused regression ...
  • Doraraja, Kishor (2025)
    Predictive maintenance is an essential strategy for minimizing unplanned downtime, reducing maintenance costs and improving operational efficiency in industrial environments. Traditional maintenance approaches often ...
  • Abeysooriya, S.R (2021)
    " Phishing is one of the oldest type of cybercrimes which tricks people to obtain their sensitive information such as usernames, passwords, and credit card information. Time to time the attackers have changed their ...
  • Gunawardana, Ravija (2023)
    "People of all ages, ethnicities, and nations are impacted by diseases, which are a worldwide problem. The common cold, Influenza, Tuberculosis (TB), HIV/AIDS, and more recently COVID19 and Pneumonia are some of the most ...
  • Fernando, Kevin (2025)
    This research presents a lightweight malware detection system for Microsoft Windows Portable Executable (PE) files using static analysis and supervised machine learning. The study addresses the limitations of signature-based ...
  • Perera, Lahiru (2022)
    "Vehicle industry is in a stage where most of the dealers have run out of business. With covid coming through and foreign reserves going low, the government decided to stop importing vehicles. This issue led to stage ...
  • Ariyarathna, Senel (2022)
    Motorcycles are one of the most popular modes of transportation because they are quick, inexpensive, and convenient. Many distinct attributes are examined in order to make a reliable and accurate prediction. This thesis ...
  • Marasinghe, M. A. A. S (2021)
    " With the increase of vehicle imports, used vehicle market has become popular and interesting. With the market popularity and no prior knowledge about used vehicles, many people get fraud to the vehicle dealers and ...