Results 101 to 110 of about 36,481,271 (303)
Mining Sub-Interval Relationships In Time Series Data
CoRR, 2018 Time-series data is being increasingly collected and stud- ied in several areas such as neuroscience, climate science, transportation, and social media. Discovery of complex patterns of relationships between individual time-series, using data-driven approaches can improve our understanding of real-world systems.
Saurabh Agrawal 0002 +7 more
openaire +2 more sources
China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications
Advanced Science, EarlyView.China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu +3 more
wiley +1 more source
Advanced Science, EarlyView.This study identifies MZF1 as a core regulator of colon cancer via SnoN‐mediated TGF‐β suppression, proposes 10Panx Acetate as a targeted inhibitor, and validates MZF1/SnoN as prognostic markers for aggressive disease. ABSTRACT Colon cancer progression is associated with transcriptional and signaling abnormalities.
Siqi Sheng +9 more
wiley +1 more source
Time Series Mining Approaches for Malaria Vector Prediction on Mid-Infrared Spectroscopy Data
Data Science JournalMalaria is an infectious disease caused by the Plasmodium parasite transmitted to humans by the bite of infected female Anopheles mosquitoes. The disease remains a major cause of child mortality globally and caused more than 600,000 deaths in 85 ...
Lucas G. M. Castro +2 more
doaj +1 more source
Flood Forecasting Using Time Series Data Mining
, 2005 Earthquakes, floods, rainfall represent a class of nonlinear systems termed chaotic, in which the relationships between variables in a system are dynamic and disproportionate, however completely deterministic.
Damle, Chaitanya
core
Advances in Se Wide‐Bandgap Photovoltaics and TexSe1‐x SWIR Photodiodes
Advanced Science, EarlyView.In this review, fundamental properties and current challenges in Se photovoltaics (PVs) for tandem and indoor PVs and TexSe1‐x alloys for short wave infrared photodiodes are discussed. A case is made for the practicality of elemental chalcogenide optoelectronics, and a pathway toward resolving the key challenges in these respective technologies is ...
Adam D. Alfieri, Deep Jariwala
wiley +1 more source
Communication network security situation analysis based on time series data mining technology
Open Computer ScienceCommunication network security situation analysis prevents unauthorized users from accessing and stealing sensitive information. Network security analysis aims to monitor, discover, and eradicate security flaws by carefully examining the network’s ...
Jiang Qingjian
doaj +1 more source
Mobile Game Evaluation Method Based on Data Mining of Affective Time Series
SensorsOur work is positioned at the intersection of game data science, affective gaming, and the implementation of multimodal body sensors analysis. We propose an original method of evaluating the quality of a class of video games based on the emotional ...
Jeremi K. Ochab +4 more
doaj +1 more source
, 2007 owledge presentation, where visualization and knowledge representation techniques are used to present the mined knowledge to the user. With the widely available relational database systems and data warehouses, the first four processes: data cleaning ...
Data Mining
core
Repurposing FDA‐Approved Drugs to Inhibit Fungal PPTases for Broad‐Spectrum Synergy
Advanced Science, EarlyView.Fungal secondary metabolites serve as crucial virulence effectors; however, the potential of their biosynthetic pathways as antifungal targets remains inadequately comprehended. Repurposed FDA‐approved drugs inhibit fungal PPTase (essential for secondary metabolism) in vivo.
Zili Song +7 more
wiley +1 more source