Results 151 to 160 of about 60,493 (305)

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

A DynamicTrustEvaluationModelBasedonOptimizedHiddenMarkovProcess

工程科学与技术, 2015
:In order to depict high dynamic of entity behavior quickly and accurately,a trust evaluation model based on continuous-time hidden Markov process was proposed.
郜燕, 刘文芬
doaj  

Markov-Switching models and resultant equity implied volatility surfaces: a South African application

, 2012
Includes bibliographical references.Standard Geometric Brownian Motion is the stock model underlying Black-Scholes famous option pricing formula. There are however numerous problems with this stock model as certain features do not follow some empirical ...
Fairbrother, Mark
core  

Diving Deeper Into Mechanisms of Acrylamide‐Induced Toxicity: RNA Sequencing Reveals Transcriptomic Alteration and Retrotransposon Expression in Drosophila melanogaster

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, Titilayomi Ayomide Otenaike, Daniela Moreira Mombach, Monica Medeiros Silva, Amos Olalekan Abolaji, Elgion Lucio Da Silva Loreto   +5 more
wiley   +1 more source

Linking brain and behavior states in Zebrafish Larvae locomotion using hidden Markov models. [PDF]

PLoS Comput Biol
Dommanget-Kott M, Fernandez-de-Cossio-Diaz J, Coraggioso M, Bormuth V, Monasson R, Debrégeas G, Cocco S.   +6 more
europepmc   +2 more sources

HMM in dynamic HAC models [PDF]

Understanding the dynamics of high dimensional non-normal dependency structure is a challenging task. This research aims at attacking this problem by building up a hidden Markov model (HMM) for Hierarchical Archimedean Copulae (HAC), where the HAC ...
Wolfgang Karl Härdle, Weining Wang, Ostap Okhrin   +2 more
core  

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, Jason Hanlon, Ilya Buzytsky   +2 more
wiley   +1 more source

Using learned action models in execution monitoring

, 2006
Planners reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting with the unpredictable uncertainties of the environment can lead to
Gough, J., Long, D., Fox, M.
core  

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, Natalia Gumińska   +1 more
wiley   +1 more source

Cost‐Optimal Building Energy System Scheduling Integrating Solar Irradiance Forecasting via LSTM‐Attention‐TCN Model

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, Jianyu Li, Yang Gao, Chuangyin Dang, Chao Tang, Yuansheng Li, Xinmiao Wang, Jinpeng Chen, Hongbo Gao, Xinyin Xu   +9 more
wiley   +1 more source