Search Results for author:
Found 28 papers, 9 papers with code
Analysis of Internet of Things implementation barriers in the cold supply chain: an integrated ISM-MICMAC and DEMATEL approach
The research findings provide industry stakeholders, governments, and organizations with significant drivers of IoT adoption to overcome these barriers and optimize the utilization of IoT technology to improve the effectiveness and reliability of the cold supply chain.
QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum-Classical Neural Network
Our proposed model, QAmplifyNet, employs quantum-inspired techniques within a quantum-classical neural network to predict backorders effectively on short and imbalanced datasets.
Ranking the locations and predicting future crime occurrence by retrieving news from different Bangla online newspapers
There have thousands of crimes are happening daily all around.
Multi-Classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network
This paper mainly focuses on elevating the classification accuracy of brain tumor images with transfer learning based deep neural network.
BD-SHS: A Benchmark Dataset for Learning to Detect Online Bangla Hate Speech in Different Social Contexts
In this paper, we identify the shortcomings of existing Bangla HS datasets and introduce a large manually labeled dataset BD-SHS that includes HS in different social contexts.
GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection
Forensic analysis of manipulated pixels requires the identification of various hidden and subtle features from images.
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation
In this paper, we focus on identifying the limitations and shortcomings of existing deepfake detection frameworks.
Improved Bengali Image Captioning via deep convolutional neural network based encoder-decoder model
Existing notable pieces of research in Bengali Image Captioning (BIC) are based on encoder-decoder architecture.
Ranked #1 on
Image Captioning
on BanglaLekhaImageCaptions
A transformer based approach for fighting COVID-19 fake news
The rapid outbreak of COVID-19 has caused humanity to come to a stand-still and brought with it a plethora of other problems.
Sentiment analysis in Bengali via transfer learning using multi-lingual BERT
In this paper, we present manually tagged 2-class and 3-class SA datasets in Bengali.
BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data
Smartwatches or fitness trackers have garnered a lot of popularity as potential health tracking devices due to their affordable and longitudinal monitoring capabilities.
Detecting Parkinson's Disease From an Online Speech-task
In this paper, we envision a web-based framework that can help anyone, anywhere around the world record a short speech task, and analyze the recorded data to screen for Parkinson's disease (PD).
BanFakeNews: A Dataset for Detecting Fake News in Bangla
In this work, we propose an annotated dataset of ~50K news that can be used for building automated fake news detection systems for a low resource language like Bangla.
Authorship Attribution in Bangla literature using Character-level CNN
Characters are the smallest unit of text that can extract stylometric signals to determine the author of a text.
A Continuous Space Neural Language Model for Bengali Language
Language models are generally employed to estimate the probability distribution of various linguistic units, making them one of the fundamental parts of natural language processing.
Keyword Aware Influential Community Search in Large Attributed Graphs
We introduce a novel keyword-aware influential community query KICQ that finds the most influential communities from an attributed graph, where an influential community is defined as a closely connected group of vertices having some dominance over other groups of vertices with the expertise (a set of keywords) matching with the query terms (words or phrases).
Automatic Detection of Satire in Bangla Documents: A CNN Approach Based on Hybrid Feature Extraction Model
Widespread of satirical news in online communities is an ongoing trend.
A Subword Level Language Model for Bangla Language
Language models are at the core of natural language processing.
On Event Causality Detection in Tweets
To demonstrate the effectiveness of our proposed event context word extension technique, we develop a feed-forward neural network based approach to detect event causality from tweets.
Real Time Bangladeshi Sign Language Detection using Faster R-CNN
In this paper, we present a technique to detect BdSL from images that performs in real time.
Comprehending Real Numbers: Development of Bengali Real Number Speech Corpus
Speech recognition has received a less attention in Bengali literature due to the lack of a comprehensive dataset.
Sentiment Analysis of Comments on Rohingya Movement with Support Vector Machine
Refugee movement is a recurring event and a large amount of data in the form of opinions remains on social media such as Facebook, with very little analysis done on them. To analyse the comments based on all Rohingya related posts, we had to create and modify a classifier based on the Support Vector Machine algorithm.
A Comprehensive Survey on Bengali Phoneme Recognition
Automatic phoneme recognition for Bengali language using multilayer neural network is reviewed.
Statistical Analysis on Bangla Newspaper Data to Extract Trending Topic and Visualize Its Change Over Time
Trending topic of newspapers is an indicator to understand the situation of a country and also a way to evaluate the particular newspaper.
Document Decomposition of Bangla Printed Text
To decompose any Bangla document we found out the edges of the input image.
Optical Character Recognition
Optical Character Recognition (OCR)
Bangla Word Clustering Based on Tri-gram, 4-gram and 5-gram Language Model
In the history of word clustering, English and some other languages have already implemented some methods on word clustering efficiently.
A Comparative Study on Different Types of Approaches to Bengali document Categorization
Document categorization is a technique where the category of a document is determined.
Rotation Invariant Face Detection Using Wavelet, PCA and Radial Basis Function Networks
This paper introduces a novel method for human face detection with its orientation by using wavelet, principle component analysis (PCA) and redial basis networks.
