Motif Discovery and Detection 2.0

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F02673975%3A_____%2F24%3AN0000003" target="_blank" >RIV/02673975:_____/24:N0000003 - isvavai.cz</a>

Výsledek na webu

<a href="https://modd.ai/" target="_blank" >https://modd.ai/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Motif Discovery and Detection 2.0

Popis výsledku v původním jazyce

MODD 2.0 represents a significant advancement in the field of motif discovery and detection, addressing the challenging problem of Motifs to dictionary, which is an open problem in scientific research. Building upon the success of its predecessor, MODD 2.0 introduces enhanced capabilities and features aimed at providing even greater insights into time series data. By leveraging cutting-edge algorithms and methodologies, MODD 2.0 offers improved accuracy and efficiency in identifying motifs and translating them into a comprehensive dictionary. This updated version empowers users with advanced tools for Big Data analysis, discrete log transformation, process mining, and anomaly detection. Furthermore, MODD 2.0 facilitates quick data orientation through categorization, correlation analysis, and causality examination, significantly reducing the manual efforts required for AI training dataset preparation. Its applications ranges from smart city management to industrial process monitoring. With the introduction of digital twin functionality, MODD 2.0 enables predictive modeling and real-time pattern prediction.

Název v anglickém jazyce

Motif Discovery and Detection 2.0

Popis výsledku anglicky

MODD 2.0 represents a significant advancement in the field of motif discovery and detection, addressing the challenging problem of Motifs to dictionary, which is an open problem in scientific research. Building upon the success of its predecessor, MODD 2.0 introduces enhanced capabilities and features aimed at providing even greater insights into time series data. By leveraging cutting-edge algorithms and methodologies, MODD 2.0 offers improved accuracy and efficiency in identifying motifs and translating them into a comprehensive dictionary. This updated version empowers users with advanced tools for Big Data analysis, discrete log transformation, process mining, and anomaly detection. Furthermore, MODD 2.0 facilitates quick data orientation through categorization, correlation analysis, and causality examination, significantly reducing the manual efforts required for AI training dataset preparation. Its applications ranges from smart city management to industrial process monitoring. With the introduction of digital twin functionality, MODD 2.0 enables predictive modeling and real-time pattern prediction.

Druh

R - Software

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/8A20004" target="_blank" >8A20004: Big data pRocessing and Artificial Intelligence at the Network Edge</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Interní identifikační kód produktu

MOD

Technické parametry

"- Modulární microservice aplikace. - Kontejnerizovaná, uspůsobená k provozu v cloud a edge decentralizované infrastruktuře. - Aplikace je stavěna jako SaaS, v single-user single-instance."

Ekonomické parametry

"Předpokládaný objem realizace v roce 2024 (v tis. Kč) Tržby - 100 Zisk - 50"

IČO vlastníka výsledku

02673975

Název vlastníka

Factorio Solutions, s.r.o.