Results 71 to 80 of about 9,580 (220)
, 2007 A kutatások célja a sztochasztikus rendszerek legkorszerűbb módszereinek az alkalmazása a pénzügyi piacok modellezésében és maguknak a módszereknek a továbbfejlesztése.
Véber, Miklós +11 more
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Structural Concrete, EarlyView.Abstract Our generation inherits this cultural heritage of historic material and historic reinforced concrete structures and thus bears a certain responsibility to preserve these historic buildings with the help of the new technologies of lifetime management, conservation concepts and the new digitalization as well as the emerging safety concepts of ...
A. Strauss
wiley +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Environmental Toxicology, EarlyView.ABSTRACT Given the inevitability of human and animal exposure to acrylamide, there is increasing concern regarding its potential health risks. While a number of molecular mechanisms have been proposed, the complexity of acrylamide toxicological pathways and interactions remains incompletely characterized.
Oluwabukola Mary Farodoye +5 more
wiley +1 more source
A Generalized ARFIMA Process with Markov-Switching Fractional Differencing Parameter [PDF]
We propose a general class of Markov-switching-ARFIMA processes in order to combine strands of long memory and Markov-switching literature. Although the coverage of this class of models is broad, we show that these models can be easily estimated with the
Wolfgang Härdle, Wen-Jen Tsay
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The performance of drones and artificial intelligence for monitoring sage‐grouse at leks
Wildlife Biology, EarlyView.Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew +2 more
wiley +1 more source
rDNAmine: A New Tool for the Analysis of Long Repetitive Sequences
Yeast, EarlyView.This work introduces a novel approach for analysing long repetitive genomic sequences, combining a method to isolate large DNA molecules from individual chromosomes. We also describe the bioinformatics tool rDNAmine, which enables the isolation of long‐repeat sequences from reads obtained using the Oxford Nanopore method, as well as their preliminary ...
Agnieszka Czarnocka‐Cieciura +1 more
wiley +1 more source
Modelling Regime Switching and Structural Breaks with an Infinite Dimension Markov Switching Model [PDF]
This paper proposes an infinite dimension Markov switching model to accommodate regime switching and structural break dynamics or a combination of both in a Bayesian framework.
Yong Song
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Advances in classification of EEG signals via evolving fuzzy classifiers and dependant multiple HMMs. [PDF]
, 2006 Two novel approaches to the problem of brain signals (electroencephalogram (EEG)) classification are introduced in the paper. The first method is based on a modular probabilistic network architecture that employs multiple dependant hidden Markov models ...
Angelov, Plamen +3 more
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CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Building energy systems integrating multiple energy sources can effectively reduce energy consumption and facilitate renewable energy integration. Integrating electrical energy storage (EES) into these systems helps accommodate the increasing share of renewables; however, the stochastic and intermittent nature of solar power still poses ...
Zhengtian Wu +9 more
wiley +1 more source