Results 101 to 110 of about 14,251,445 (242)
Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
Genetics and Molecular Biology, 2003 Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence.
Silva Cibele Q. da
doaj
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Impacts of Change‐Type and State‐Type System Qualities on Complex System Architectures
Systems Engineering, EarlyView.ABSTRACT System qualities, such as scalability, expandability, and reconfigurability, are key requirements of complex systems. Requirements associated with system qualities are important factors in design trade space analyses, but systems engineering design methodologies make only limited use of these qualities, hindering a holistic understanding of ...
Christina F. Bridges +1 more
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
Bayesian inference for Hidden Markov Model [PDF]
Hidden Markov Models can be considered an extension of mixture models, allowing for dependent observations. In a hierarchical Bayesian framework, we show how Reversible Jump Markov Chain Monte Carlo techniques can be used to estimate the parameters of ...
Luisa Scaccia, Rosella Castellano
core
Linking telemetry data with forage availability maps advances information for moose management
Wildlife Biology, EarlyView.Evidence‐based forest and wildlife management requires precise estimates of forage availability for spatial planning and conflict mitigation. Recently, novel datasets and associated maps have been developed for use in Swedish forest and wildlife management.
Lukas Graf +3 more
wiley +1 more source
Identification of Yeast Protein Sequences With Similarity to the ESCRT‐III Protein Snf7
Yeast, EarlyView.ABSTRACT Endosomal sorting complex required for transport (ESCRT‐III) is a membrane remodeling complex involved in a large number of cellular processes. It appears to perform an essential function in eukaryotes, since to date no eukaryotic organism completely devoid of ESCRT‐III has been found.
Thomas Brune, Ralf Kölling
wiley +1 more source
IEEE AccessThis paper mainly investigates the asynchronous observer-based guaranteed cost control problem for two-dimensional Markov jump Roesser systems with nonideal transition probabilities.
Jiazheng Liu, Yang Yang, Yaru Song
doaj +1 more source
Application of Hidden Markov Models and Hidden Semi-Markov Models to Financial Time Series [PDF]
Hidden Markov Models (HMMs) and Hidden Semi-Markov Models (HSMMs) provide flexible, general-purpose models for univariate and multivariate time series.
Bulla, Jan
core
Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun +4 more
wiley +1 more source