10 papers
Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks
Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Shadman Sakib +3
Temperature and rainfall have a significant impact on economic growth as well as the outbreak of seasonal diseases in a region. In spite of that inadequate studies have been carrie…
Electrocardiogram Heartbeat Classification Using Convolutional Neural Networks for the Detection of Cardiac Arrhythmia
Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Shadman Sakib +3
The classification of the electrocardiogram (ECG) signal has a vital impact on identifying heart-related diseases. This can ensure the premature finding of heart disease and the pr…
Deep Convolutional Neural Networks Model-based Brain Tumor Detection in Brain MRI Images
Md. Abu Bakr Siddique, Shadman Sakib, Mohammad Mahmudur Rahman Khan +3
Diagnosing Brain Tumor with the aid of Magnetic Resonance Imaging (MRI) has gained enormous prominence over the years, primarily in the field of medical science. Detection and/or p…
Performance Evaluation of t-SNE and MDS Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers
Shadman Sakib, Md. Abu Bakr Siddique, Md. Abdur Rahman
The central goal of this paper is to establish two commonly available dimensionality reduction (DR) methods i.e. t-distributed Stochastic Neighbor Embedding (t-SNE) and Multidimens…
Performance Analysis of Deep Autoencoder and NCA Dimensionality Reduction Techniques with KNN, ENN and SVM Classifiers
Md. Abu Bakr Siddique, Shadman Sakib, Md. Abdur Rahman
The central aim of this paper is to implement Deep Autoencoder and Neighborhood Components Analysis (NCA) dimensionality reduction methods in Matlab and to observe the application…
Non-Intrusive Electrical Appliances Monitoring and Classification using K-Nearest Neighbors
Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Shadman Sakib
Non-Intrusive Load Monitoring (NILM) is the method of detecting an individual device's energy signal from an aggregated energy consumption signature [1]. As existing energy meters…