ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently
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Updated
Mar 1, 2019 - Java
ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently
Tool for analysing commits in a Git repository
AltaiR: a C toolkit for alignment-free and temporal analysis of multi-FASTA data
A project on analysing extracted tweets - (Scraped using Twint)
Predictive Guardians: An AI-driven crime prevention solution utilizing advanced analytics, machine learning, and optimization. Uncover crime patterns, profile offenders, forecast trends, and allocate resources optimally. Empower agencies with actionable insights to proactively build safer communities. 🚔💻🌍
VAERS Adverse Event Analysis for COVID 19 Vaccine : A hybrid approach combining LLMs (Gemini 1.5 Flash) and statistical methods for enhanced vaccine safety signal detection. Analyzes temporal and associative relationships in VAERS symptom data.
The project aims to automate content classification and knowledge retrieval, as well as to perform analysis on the temporal and thematic impact on research over a time period. In addition, the possibility of performing network analysis to analyze communication in the community is contemplated for users.
Terrarium is a Python Package for geospatial manipulation and raster/vector generation for the GeoSentry 🌍 Platform powered by Google Earth Engine and Google Maps Platform.
An automatic system for visualizing how a place, and the names it uses, change over time on historical maps
Software for inferring the intrinsic fitness landscape of poliovirus capsid protein (vp1) and comparing it with that of analogous proteins in HIV
Unraveling the Semantic Evolution of Core Nodes in a Global Contribution Network.
Interpreting age groups impact on COVID-19 using deep learning timeseries models
Data clock charts using matplotlib.
This project focuses on analyzing and predicting earthquakes in Washington State using data from the USGS. The analysis explores earthquake trends, spatial patterns, and the relationship between earthquakes and fault lines. ML models are employed for predicting future earthquake occurrences, magnitudes, and their potential impacts.
Cronus is an architecture diagramming and temporal analysis engine. With Cronus, teams can diagram their system architecture and vulnerabilities, as reported by Covert, and survey how each evolves over time.
💰 Analysis code of the paper published in EPJ Data Science
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