Results 41 to 50 of about 6,525 (216)
An Adaptive Learning-Based Approach for Vehicle Mobility Prediction
IEEE Access, 2021 This work presents an innovative methodology to predict the future trajectories of vehicles when its current and previous locations are known. We propose an algorithm to adapt the vehicles trajectories' data based on consecutive GPS locations and to ...
Luis Irio +3 more
doaj +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
A New Viterbi Algorithm with Adaptive Path Reduction Method [PDF]
, 1993 A new Viterbi algorithm with adaptive path reduction method is presented. The proposed system consists of the pre-decoder and reduced path Viterbi decoder. The predecoder separates the mixed channel noise from the received sequence [6]-[9]. The number of
Yamazato, Takaya +2 more
core
The generalized Viterbi algorithm.
, 2014 The generalized Viterbi algorithm.
Sepp Kollmorgen (248487) +1 more
core +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Canadian Journal of Statistics, EarlyView.Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
SIEVE: A Space-Efficient Algorithm for Viterbi Decoding
, 2022 Publisher Copyright: © 2022 ACM.Can we get speech recognition tools to work on limited-memory devices? The Viterbi algorithm is a classic dynamic programming (DP) solution used to find the most likely sequence of hidden states in a Hidden Markov Model ...
Gionis, Aristides, +7 more
core +1 more source
Behavioral responses of black bears to human presence and infrastructure in Yosemite National Park
The Journal of Wildlife Management, EarlyView.Using GPS collar data from black bears in Yosemite National Park, we examined how bear spatiotemporal activity in relation to human development shifted during the COVID‐19 park closure in 2020. In the absence of visitors, bears maintained consistent landscape‐scale space use but altered fine‐scale spatial and temporal behaviors.
Jennifer R. Green +9 more
wiley +1 more source
BMC Bioinformatics, 2005 Background Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of predicting membrane protein topology.
Martelli Pier +2 more
doaj +1 more source
Assessing habitat suitability for black grouse broods at the bioregional scale
Wildlife Biology, EarlyView.The black grouse Lyrurus tetrix, a galliform species emblematic of the European Alps, is currently threatened by habitat change, particularly given the closure of heathland linked to the rising tree line at higher altitudes. The presence of heathlands in good ecological condition is, however, imperative for the species' reproduction.
Alexandre T. M. Defossez +6 more
wiley +1 more source
Phase Offset Tracking for Free Space Digital Coherent Optical Communication System
Applied Sciences, 2019 The coherent receiving method can improve the sensitivity of an optical signal receiver for free space optical communication system effectively. To implement coherent receiving, the phase offset between the local laser in the receiver and the received ...
Hongwei Li +5 more
doaj +1 more source