Results 41 to 50 of about 36,481,271 (303)
Data mining for the analysis of content interaction in web-based learning and training systems [PDF]
, 2006 Data mining is based on the detection and extraction of knowledge from a database. Web usage mining is a special form of data mining to address behaviour in Web sites.
C. Pahl, Pahl, Claus
core +2 more sources
Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
FEBS Open Bio, EarlyView.Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source
Time-series prediction of shellfish farm closure: A comparison of alternatives
Information Processing in Agriculture, 2014 Shellfish farms are closed for harvest when microbial pollutants are present. Such pollutants are typically present in rainfall runoff from various land uses in catchments.
Ashfaqur Rahman +5 more
doaj +1 more source
Time series forecasting in the artificial intelligence milieu
Journal of Economic and Financial Sciences, 2022 No abstract available.
Ilse Botha
doaj +1 more source
Advanced Engineering Materials, EarlyView.Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic +2 more
wiley +1 more source
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
CAAI Transactions on Intelligence TechnologyThe analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device failures and network disruptions ...
Yakun Chen +7 more
doaj +1 more source
IEEE Access, 2017 Data representation and similarity measurement are two basic aspects of similarity detection in time series data mining. In this paper, we present two novel approaches to perform similarity detection efficiently and effectively.
Miaomiao Zhang, Dechang Pi
doaj +1 more source
DATA MINING WORKSPACE AS AN OPTIMIZATION PREDICTION TECHNIQUE FOR SOLVING TRANSPORT PROBLEMS [PDF]
Transport Problems, 2016 This article addresses the study related to forecasting with an actual high-speed decision making under careful modelling of time series data. The study uses data-mining modelling for algorithmic optimization of transport goals. Our finding brings to the
Anastasiia KUPTCOVA +3 more
doaj +1 more source
Unlocking Zenith Electronic State of Ni Sites in Ligand-Engineered COFs for Efficient •O<sub>2</sub> <sup>-</sup>-Driven Uranium Photoreduction. [PDF]
Adv Sci (Weinh)We develop a ligand engineering strategy to construct Ni‐diketimine‐linked COFs with precisely tuned Ni electronic states. By varying the coordinated diketone units, we achieve an optimal electronic configuration that enhances O2 adsorption and lowers the energy barrier for •O2− generation.
Wu G +5 more
europepmc +2 more sources
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source