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Found 22 papers, 6 papers with code
TRABSA: Interpretable Sentiment Analysis of Tweets using Attention-based BiLSTM and Twitter-RoBERTa
Sentiment analysis is crucial for understanding public opinion and consumer behavior.
Analyzing Male Domestic Violence through Exploratory Data Analysis and Explainable Machine Learning Insights
Domestic violence, which is often perceived as a gendered issue among female victims, has gained increasing attention in recent years.
Ergonomic Design of Computer Laboratory Furniture: Mismatch Analysis Utilizing Anthropometric Data of University Students
The one-way ANOVA test with a significance level of 5% also showed a significant difference between proposed and existing furniture dimensions.
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.
AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis
Supply chain risk assessment (SCRA) has witnessed a profound evolution through the integration of artificial intelligence (AI) and machine learning (ML) techniques, revolutionizing predictive capabilities and risk mitigation strategies.
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities
The multimodal task of Visual Question Answering (VQA) encompassing elements of Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers to questions on any visual input.
A Comprehensive Review of AI-enabled Unmanned Aerial Vehicle: Trends, Vision , and Challenges
In recent years, the combination of artificial intelligence (AI) and unmanned aerial vehicles (UAVs) has brought about advancements in various areas.
BaitBuster-Bangla: A Comprehensive Dataset for Clickbait Detection in Bangla with Multi-Feature and Multi-Modal Analysis
This study presents a large multi-modal Bangla YouTube clickbait dataset consisting of 253, 070 data points collected through an automated process using the YouTube API and Python web automation frameworks.
Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An interpretable Ensemble Approach with Threshold Filtered Single Instance Evaluation (SIE)
An ensemble approach integrated with threshold filtered single instance evaluation (SIE) technique has been proposed in this study to diagnose BC from the multi-categorical expression of HER2 subtypes.
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.
Big Data - Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
This article intends to systematically identify and comparatively analyze state-of-the-art supply chain (SC) forecasting strategies and technologies.
convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer
The outcomes of this study determined that the HER2 cancer detecting rates of the convoHER2 model are much enough to provide better diagnosis to the patient for recovering their HER2 breast cancer in future.
Challenges and Opportunities of Speech Recognition for Bengali Language
Speech recognition is a language-dependent system constructed directly based on the linguistic and textual properties of any language.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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End-to-End Optical Character Recognition for Bengali Handwritten Words
Further, we experiment with two different recurrent neural networks (RNN) methods, LSTM and GRU.
Optical Character Recognition
Optical Character Recognition (OCR)
U-vectors: Generating clusterable speaker embedding from unlabeled data
The robustness of a speaker recognition system mainly depends on the extraction process of speech embeddings, which are primarily pre-trained on a large-scale dataset.
FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets
The FabricNet can recognize a large scale of fibers by only utilizing a surface image of fabric.
An Evolution of CNN Object Classifiers on Low-Resolution Images
Deep neural networks have been demonstrated as very powerful systems for facing the challenge of object classification from high-resolution images, but deploying such object classification networks on the embedded device remains challenging due to the high computational and memory requirements.
BanglaWriting: A multi-purpose offline Bangla handwriting dataset
This article presents a Bangla handwriting dataset named BanglaWriting that contains single-page handwritings of 260 individuals of different personalities and ages.
A Multi-Plant Disease Diagnosis Method using Convolutional Neural Network
The experimental results validate that the Xception and DenseNet architectures perform better in multi-label plant disease classification tasks.
A Lightweight Speaker Recognition System Using Timbre Properties
It also introduces new features that are used for both speaker verification and identification tasks.
Human Abnormality Detection Based on Bengali Text
To the best of our knowledge, this is the first attempt in developing a text based human abnormality detection system.
AutoEmbedder: A semi-supervised DNN embedding system for clustering
Deep clustering method downsamples high dimensional data, which may also relate clustering loss.
