Search Results for author:
Found 9 papers, 3 papers with code
A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts
In this paper, we introduce a dataset (NC-SentNoB) that we annotated manually to identify ten different types of noise found in a pre-existing sentiment analysis dataset comprising of around 15K noisy Bangla texts.
Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GAN
Automated License Plate Recognition(ALPR) is a system that automatically reads and extracts data from vehicle license plates using image processing and computer vision techniques.
Bengali Intent Classification with Generative Adversarial BERT
Furthermore, we propose a novel approach for Bengali intent classification using Generative Adversarial BERT to evaluate the proposed dataset, which we call GAN-BnBERT.
An Interpretable Systematic Review of Machine Learning Models for Predictive Maintenance of Aircraft Engine
This paper presents an interpretable review of various machine learning and deep learning models to predict the maintenance of aircraft engine to avoid any kind of disaster.
Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME
The objective of this investigation is to evaluate and contrast the effectiveness of four state-of-the-art pre-trained models, ResNet-34, VGG-19, DenseNet-121, and Inception V3, in classifying traffic and road signs with the utilization of the GTSRB public dataset.
Bengali Fake Reviews: A Benchmark Dataset and Detection System
This paper introduces the Bengali Fake Review Detection (BFRD) dataset, the first publicly available dataset for identifying fake reviews in Bengali.
Rank Your Summaries: Enhancing Bengali Text Summarization via Ranking-based Approach
This paper aims to identify the most accurate and informative summary for a given text by utilizing a simple but effective ranking-based approach that compares the output of four different pre-trained Bengali text summarization models.
Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks
This paper investigates the potential of semi-supervised Generative Adversarial Networks (GANs) to fine-tune pretrained language models in order to classify Bengali fake reviews from real reviews with a few annotated data.
Effectiveness of Transformer Models on IoT Security Detection in StackOverflow Discussions
However, finding discussions that are relevant to IoT issues is challenging since they are frequently not categorized with IoT-related terms.
