85 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Mississippi State UniversityUS5 papers
- Islamic University of TechnologyBD4 papers
- University of HyogoJP4 papers
- Vanderbilt UniversityUS4 papers
- BRAC UniversityBD3 papers
- Rajshahi University of Engineering and TechnologyBD3 papers
- North South UniversityBD2 papers
- Ahsanullah University of Science and TechnologyBD1 paper
- Bangladesh University of Engineering and TechnologyBD1 paper
- Deakin UniversityAU1 paper
- Dhaka University of Engineering & TechnologyBD1 paper
- Jagannath UniversityIN1 paper
5 papers · 1 filter
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information
M. H. Rahman, S. M. Rifaat
To reduce passenger waiting time and driver search friction, ride-hailing companies need to accurately forecast spatio-temporal demand and supply-demand gap. However, due to spatio…
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…