R.I.P.
π»
Ghosted
Chronological Outlooks of Globe Illustrated with Web-Based Visualization
April 17, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Tahmim Hossain, Sai Sarath Movva, Ritika Ritika
arXiv ID
2404.16063
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.GR
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Developing visualizations with comprehensive annotations is crucial for research and educational purposes. We've been experimenting with various visualization tools like Plotly, Plotly.js, and D3.js to analyze global trends, focusing on areas such as Global Terrorism, the Global Air Quality Index (AQI), and Global Population dynamics. These visualizations help us gain insights into complex research topics, facilitating better understanding and analysis. We've created a single web homepage that links to three distinct visualization web pages, each exploring specific topics in depth. These webpages have been deployed on free cloud hosting servers such as Vercel and Render.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted