10 citations · 14 across the 6 of their papers we have counts for
6 papers
A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts
Kazi Toufique Elahi, Tasnuva Binte Rahman, Shakil Shahriar +3
While Bangla is considered a language with limited resources, sentiment analysis has been a subject of extensive research in the literature. Nevertheless, there is a scarcity of ex…
An Interpretable Systematic Review of Machine Learning Models for Predictive Maintenance of Aircraft Engine
Abdullah Al Hasib, Ashikur Rahman, Mahpara Khabir +1
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. One of…
Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME
Md. Atiqur Rahman, Ahmed Saad Tanim, Sanjid Islam +3
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…
Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance
Md Tanvir Rouf Shawon, G. M. Shahariar Shibli, Farzad Ahmed +1
This paper presents a research study on the use of Convolutional Neural Network (CNN), ResNet50, InceptionV3, EfficientNetB0 and NASNetMobile models to efficiently detect brain tum…
Rank Your Summaries: Enhancing Bengali Text Summarization via Ranking-based Approach
G. M. Shahariar, Tonmoy Talukder, Rafin Alam Khan Sotez +1
With the increasing need for text summarization techniques that are both efficient and accurate, it becomes crucial to explore avenues that enhance the quality and precision of pre…
DSE Stock Price Prediction using Hidden Markov Model
Raihan Tanvir, Md Tanvir Rouf Shawon, Md. Golam Rabiul Alam
Stock market forecasting is a classic problem that has been thoroughly investigated using machine learning and artificial neural network based tools and techniques. Interesting asp…