Search Results for author: Nazmul Siddique

Found 5 papers, 4 papers with code

Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ Architecture

1 code implementation IEEE Access ( Volume: 9) 2021 Sunanda Das, Awal Ahmed Fime, Nazmul Siddique, M. M. A. Hashem

This paper proposes a method to estimate road boundaries in different environments with deep learning-based semantic segmentation, and without any predefined road markings.

Autonomous Vehicles Semantic Segmentation

Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks

no code implementations IEEE Access 2021 Md. Rajib Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul Siddique, Md. Nazmul Islam, Iqbal H. Sarker

In total 36 classification models, including four classification models (CNN, LSTM, SVM, SGD) and three embedding techniques with 100, 200 and 250 embedding dimensions, are trained with optimized hyperparameters and tested on three benchmark datasets (BACC-18, BAAD16 and LD).

Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.