An Approach to ECG-based Gender Recognition Using Random Forest Algorithm
Abstract Human-Computer Interaction (HCI) has witnessed rapid advancements in signal
processing research within the health domain, particularly in signal analyses like …
processing research within the health domain, particularly in signal analyses like …
A Multi Representation Deep Learning Approach for Epileptic Seizure Detection
Epileptic seizures, unpredictable in nature and potentially dangerous during activities like
driving, pose significant risks to individual and public safety. Traditional diagnostic methods …
driving, pose significant risks to individual and public safety. Traditional diagnostic methods …
Evaluation of Stochastic Gradient Descent Optimizer on U-Net Architecture for Brain Tumor Segmentation
P Purwono, IS Mangkunegara - International Journal of Robotics …, 2023 - pubs2.ascee.org
A brain tumor is a type of disease that is quite dangerous in the world. This disease is one of
the main causes of human death and has a high risk of recurrence. There are several types …
the main causes of human death and has a high risk of recurrence. There are several types …
Diabetes Classification Problem with CatBoost Method and Optuna Gradient Boosting Optimization
Diabetes mellitus is a dangerous global epidemic that can cause kidney failure, heart attack,
blindness, and death. The main cause of this disease is too high blood sugar levels due to …
blindness, and death. The main cause of this disease is too high blood sugar levels due to …
CNN-BiLSTM for Power Consumption Prediction using Raspberry Pi 4
AM Luthfi, A Maarif, GNP Pratama - 2023 10th International …, 2023 - ieeexplore.ieee.org
Power consumption prediction has an important role in efficient energy management,
enabling better utilization of resources and cost savings. Conventional methods have often …
enabling better utilization of resources and cost savings. Conventional methods have often …
Classification Performance Comparison of BERT and IndoBERT on SelfReport of COVID-19 Status on Social Media
Messages shared on social media platforms like X are automatically categorized into two
groups: those who self-report COVID-19 status and those who do not. However, it is …
groups: those who self-report COVID-19 status and those who do not. However, it is …