Results 61 to 70 of about 3,453 (181)
Background Hidden Markov models are widely employed by numerous bioinformatics programs used today. Applications range widely from comparative gene prediction to time-series analyses of micro-array data. The parameters of the underlying models need to be
Meyer Irmtraud M, Lam Tin Y
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Estimating Environmental Transmission Risk From Host Movement Data
We present a comparative modeling framework that integrates host movement, pathogen persistence, and behavior to quantify environmentally mediated transmission. Using wild pig GPS data and SEIR simulations, we show that contact definitions significantly alter transmission dynamics, highlighting the importance of mechanistically defining indirect ...
Himel Talukder +6 more
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Frequency Management for Electromagnetic Continuous Wave Conductivity Meters
Ground conductivity meters use electromagnetic fields for the mapping of geological variations, like the determination of water amount, depending on ground layers, which is important for the state analysis of embankments.
Przemyslaw Mazurek, Grzegorz Putynkowski
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AccelerometerBehavior: R Package for Classifying Ungulate Behaviors Into Three States
We provide an R package, AccelerometerBehavior, which facilitates the classification of acceleration data into behavioral states using field‐validated models for ungulates. Our package provides the supervised models so users do not need their own observation data for model training.
Rachel A. Smiley +17 more
wiley +1 more source
Blind Estimation of Linear and Nonlinear Sparse Channels
This paper presents a Clustering Based Blind Channel Estimator for a special case of sparse channels – the zero pad channels. The proposed algorithm uses an unsupervised clustering technique for the estimation of data clusters.
Kristina Georgoulakis
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We propose a simplified digital phase noise compensation technique for a Nyquist pulse-shaped digital subcarrier multiplexed (DSCM) coherent optical transmission system, employing an optical frequency comb based on Quantum dot passive mode-locked laser ...
Govind Vedala +2 more
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Adaptive decoding of convolutional codes [PDF]
Convolutional codes, which are frequently used as error correction codes in digital transmission systems, are generally decoded using the Viterbi Decoder. On the one hand the Viterbi Decoder is an optimum maximum likelihood decoder, i.e.
K. Hueske, J. Geldmacher, J. Götze
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Increasing the resistance of a system consisting of several programmable logic integrated circuits (FPGA) to space radiation effects is discussed in the paper.
A. A. Nikitin, Yu. N. Zhigulevtsev
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Korean Pansori Vocal Note Transcription Using Attention-Based Segmentation and Viterbi Decoding
In this paper, first, we delved into the experiment by comparing various attention mechanisms in the semantic pixel-wise segmentation framework to perform frame-level transcription tasks.
Bhuwan Bhattarai, Joonwhoan Lee
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Enhancing the Experience and Accessibility of Users with Disability by Integrating Voice Navigation into a Telemedicine Website [PDF]
As per the universal principles of usability and sustainable development goal defined for reducing inequality, each individual will have special abilities and challenges. Individuals with visual challenges have trouble interacting with digital platforms.
Sucheta V. Kolekar +2 more
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