Using Ensemble Learning Methodology for Predicting Reconnaissance in Campus Area Network
In the Campus Area Network (CAN) security is an important concern in the designed
network. The reconnaissance domain of a cyberattack, allows attackers learn more about …
network. The reconnaissance domain of a cyberattack, allows attackers learn more about …
Predicting Stroke: Advanced Machine Learning Ensemble Techniques
S Mittal - … 3rd International Conference for Advancement in …, 2024 - ieeexplore.ieee.org
Stroke is the main cause of long-term disability and death worldwide; it is a terrible medical
condition caused by disrupted blood flow to the brain. This work uses patient health and …
condition caused by disrupted blood flow to the brain. This work uses patient health and …
Deep Learning Approaches For Lymphoma Prediction: Leveraging VGG16 and DenseNet Architectures
Blood Cancer is a gruesome disease that causes the abnormal growth of cells in the blood,
bone marrow, and lymphatic system. It uses various CT scans for the recovery or detection of …
bone marrow, and lymphatic system. It uses various CT scans for the recovery or detection of …
Enhancing Agricultural Sustainability: SARIMA and SVM Models for Precise Rainfall Forecasting and Environmental Management
The effectiveness of crop cycle planning relies on accurate precipitation forecasts, effective
disaster prevention, and comprehensive examination of environmental conditions. Precise …
disaster prevention, and comprehensive examination of environmental conditions. Precise …
Utilizing ResNet50 Model With Multilayer Perceptron (ResNetMLP) For Knee Osteoarthritis Classification
Knee Osteoarthritis is a problem of knees among the older generation of people. Day by day
it is also increasing in younger people, the reason behind knee osteoarthritis could be weak …
it is also increasing in younger people, the reason behind knee osteoarthritis could be weak …
Breast Cancer Prediction Using AdaBoost And XGBoost Classifier
S Mittal - 2024 IEEE 3rd World Conference on Applied …, 2024 - ieeexplore.ieee.org
Breast cancer is a very noxious cancer in women worldwide, its mortality rate is increasing
day by day. Researchers found various research methods for the detection of breast cancer …
day by day. Researchers found various research methods for the detection of breast cancer …
Unveiling the Innate Potential of Ensemble Techniques in Advanced Brain Stroke Classification
The emerging scope of new technology in the classification and early prediction of various
diseases is increasing. Artificial Intelligence (AI) and Machine Learning (ML) techniques …
diseases is increasing. Artificial Intelligence (AI) and Machine Learning (ML) techniques …
Prospecting Brain Stroke Onset: A Comparative Analysis Of Supervised Learning Models
Brain stroke is the most alarming disease worldwide. It causes sudden death due to
blockage in the blood vessels The mortality rate is gradually increasing. As per medical …
blockage in the blood vessels The mortality rate is gradually increasing. As per medical …
Optimizing Stroke Prediction with Ensemble Learning: A Comparative Study of AdaBoost, SVM, and KNN Models
Stroke is the main cause of long-term disability and death worldwide; it is a terrible medical
condition caused by disrupted blood flow to the brain. This work intends to predict stroke …
condition caused by disrupted blood flow to the brain. This work intends to predict stroke …
Forecasting Digestive System Diseases in Surabaya Using Autoregressive Integrated Moving Average (ARIMA) Method
R Hadiwiyanti, TD Rimadhani… - 2023 1st …, 2023 - ieeexplore.ieee.org
One of the most common types of diseases in Surabaya, Indonesia, is digestive system
disease. In 2022, cases of digestive system diseases significantly increased, necessitating …
disease. In 2022, cases of digestive system diseases significantly increased, necessitating …