Search Results for author:
Found 9 papers, 1 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.
A Natural Language Processing-Based Classification and Mode-Based Ranking of Musculoskeletal Disorder Risk Factors
This research delves into Musculoskeletal Disorder (MSD) risk factors, using a blend of Natural Language Processing (NLP) and mode-based ranking.
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.
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.
DIT4BEARs Smart Roads Internship
We developed a regressor that will predict the safety metric depending upon the state obtained from the classifier and the friction obtained from the sensor data.
