Results 21 to 30 of about 3,574 (177)
Performance of 2D SOVA Along and Across Track in Shingled Magnetic Recording Media
Telfor Journal, 2017 Serial Concatenation of Two Dimensional Soft Output Viterbi Algorithm (2D-SOVA) and regular Viterbi Algorithm (VA) for 2D equalisation and detection of Shingled Magnetic Recording (SMR) media provides excellent performance as compared to the use of 1 ...
M. B. Abdulrazaq, M. Z. Ahmed, P. Davey
doaj +1 more source
A temporally abstracted Viterbi algorithm
CoRR, 2012 Hierarchical problem abstraction, when applicable, may offer exponential reductions in computational complexity. Previous work on coarse-to-fine dynamic programming (CFDP) has demonstrated this possibility using state abstraction to speed up the Viterbi algorithm. In this paper, we show how to apply temporal abstraction to the Viterbi problem.
Shaunak Chatterjee, Stuart Russell 0001
openaire +3 more sources
Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems ...
M. Asadolahzade Kermanshahi +1 more
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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
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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
Improved Decoding Algorithms for Convolutional Codes
Кібернетика та комп'ютерні технологіїIntroduction. The considered implementation of the Viterbi algorithm provides a reduction in hardware and time costs for decoding convoluted code sequences, and can be used for semi-realistic modeling of existing means of data transmission (for example ...
Kateryna Sosnenko
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Customer active power consumption prediction for the next day based on historical profile
Advances in Computing and Engineering, 2022 Energy consumption prediction application is one of the most important fieldsthat is artificially controlled with Artificial Intelligence technologies to maintainaccuracy for electricity market costs reduction.
Ahmad A. Goudah +3 more
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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
Behavioural state identification from ultra‐high‐frequency movement data
Methods in Ecology and Evolution, EarlyView.Abstract The hidden Markov model (HMM) is a central framework for identifying behavioural state changes from animal movement data. In this context, movement is typically represented as a sequence of observed metrics, such as step length and turning angle distributions, generated by an unobserved behavioural state process.
Abdulmajeed F. Alharbi +4 more
wiley +1 more source
Impact of global change on the distribution of mountain mammals and birds
Conservation Biology, EarlyView.Abstract Climate change and land‐use changes are key drivers of global biodiversity loss. Many species are shifting to higher elevations or latitudes in response to global warming, often encountering unfavorable land‐use conditions during the shift. These changes can lead to reduced range size and increased extinction risks, particularly for mountain ...
Chiara Dragonetti +5 more
wiley +1 more source