Results 101 to 110 of about 246 (161)
ABSTRACT The rapid advancement of Generative AI (GenAI) creates new opportunities for spatial planning. However, most existing applications focus on macro‐scale overhead perspectives, leaving street‐level visualization constrained by strict physical and spatial fidelity challenges.
Qian Cao +5 more
wiley +1 more source
Abstract Meteorological seasons are typically defined through fixed calendar intervals or region‐specific thresholds, yet such approaches fail to capture the actual variability of the annual cycle. Here we present a machine learning framework that objectively detects meteorological seasons and projects their future evolution.
Jacopo Grassi +3 more
wiley +1 more source
A multivariate fuzzy trend model for analysis of common and individual trends
Kuwabara, Masami, Watanabe, Norio
openaire +1 more source
Emotion Recognition based on Multivariate Multiscale Fuzzy Entropy Analysis of EEG Recordings
Dae-Young Lee, Young-Seok Choi
openaire +1 more source
A Comparative Study of Fuzzy Neural Network and Multivariate Statistics in Discriminant Analysis
openaire +1 more source
Grade Discrimination of Dried Seaweed by Fuzzy Image Measured Data and Multivariate Analysis
Xia MAO, Itsuya MUTA, Tsutomu HOSHINO
openaire +1 more source
A fuzzy approach to timbre characterization with Mel-Cepstrum: a multivariate analysis rules
Boatin, Nicola +2 more
openaire +1 more source
Modeling of fuzziness in multivariate data analysis
This paper introduces a new modeling technique of fuzziness in multivariate analysis based on subjective evaluation data. The subjective evaluation data includes diverse perceptions in the evaluators' assessment of the evaluation object. Average data of the evaluators is often used in order to send a generally accurate interpretation of the subjective ...
Y. Nakamori, M. Ryoke
openaire +2 more sources
Modeling of fuzziness in multivariate analysis
Yoshiteru Nakamori, Mina Ryoke
openaire +2 more sources

