Results 81 to 90 of about 5,911 (187)

Ophidiomycosis Prevalence and Disease Ecology in a Natrix tessellata (Laurenti, 1768) Population From Northern Italy

Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, Volume 345, Issue 3, Page 292-305, April 2026.
ABSTRACT Fungal pathogens pose a growing threat to vertebrate biodiversity. In snakes, Ophidiomyces ophidiicola (Oo) has garnered particular concern, although its impact in Europe remains poorly understood. We conducted a season‐long, standardized survey of dice snakes (Natrix tessellata) along the northern shore of Lake Como (Italy) to quantify Oo and
Matteo Riccardo Di Nicola, Luca Colla, Kevin P Mulder, Federico Storniolo, Elin Verbrugghe, Giuseppe Esposito, Donato A. Grasso, Frank Pasmans, An Martel   +8 more
wiley   +1 more source

Properties of the Statistical Complexity Functional and Partially Deterministic HMMs

Entropy, 2009
Statistical complexity is a measure of complexity of discrete-time stationary stochastic processes, which has many applications. We investigate its more abstract properties as a non-linear function of the space of processes and show its close relation to
Wolfgang Löhr
doaj   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

Stochastic Modelling of Daily Precipitation in Semi‐Arid Regions Using Markov Chains and Parametric Distributions

International Journal of Climatology, Volume 46, Issue 4, 30 March 2026.
This study applies stochastic rainfall models combining Markov Chains with gamma and mixed exponential distributions to a semi‐arid climate in Northeast Brazil. Model structures were evaluated using Bayesian Information Criterion (BIC), with maximum likelihood (MLM) for parameter estimation and cumulative distribution functions (CDFs) for validation ...
Gabriel Magno Cavalcante Calado, Mayke Feitosa Progênio, José Adalberto da Silva Filho, Ialy Rayane de Aguiar Costa, Severino Martins Neto, Artur Paiva Coutinho   +5 more
wiley   +1 more source

Solution to error source model selection problem in IS EASECC

Advanced Engineering Research, 2017
Introduction. The development of error-correcting techniques in digital transmission channels is considered. This is a multiparameter problem the solution of which through the analytical methods is rather difficult.
Vladimir M Deundyak, Maria A. Zhdanova, Nadezhda S. Mogilevskaya   +2 more
doaj   +1 more source

Long Short‐Term Memory Network and Statistical Time Series Analysis Forecast Models for 30 min Interval Wind Farm Power Output and Regional Price Variables

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT This study compares parametric statistical time series models, such as autoregressive moving average (ARMA), with nonparametric artificial neural networks, specifically long short‐term memory (LSTM) models, for univariate forecasting. Two time series are analyzed separately: wind power output from the Clements Gap wind farm and the regional ...
Luigi R. Cirocco, Joshua Chopin, Belinda Chiera, John W. Boland   +3 more
wiley   +1 more source

SynSys: A Synthetic Data Generation System for Healthcare Applications

Sensors, 2019
Creation of realistic synthetic behavior-based sensor data is an important aspect of testing machine learning techniques for healthcare applications. Many of the existing approaches for generating synthetic data are often limited in terms of complexity ...
Jessamyn Dahmen, Diane Cook
doaj   +1 more source

Haptic Teleoperation in Extended Reality for Electric Vehicle Battery Disassembly Using Gaussian Mixture Regression

Journal of Field Robotics, Volume 43, Issue 2, Page 1130-1151, March 2026.
ABSTRACT We present a comprehensive teleoperation framework for electric vehicle (EV) battery cell handling, integrating haptic feedback, extended reality (XR) visualization, and task‐parameterized Gaussian mixture regression (TP‐GMR) for adaptive, real‐time trajectory generation.
Alireza Rastegarpanah, Carmelo Mineo, Cesar Alan Contreras, Abdelaziz Shaarawy, Giovanni Paragliola, Rustam Stolkin   +5 more
wiley   +1 more source

Detecting disease progression from animal movement using hidden Markov models

Journal of Applied Ecology, Volume 63, Issue 3, March 2026.
We demonstrate how (H)HMMs can be tailored to different epidemiological scenarios and provide a template workflow for developing and selecting Hidden Markov models to infer disease status from animal movement data. Identifying infection before mortality occurs offers a valuable early‐warning tool for population managers, reduces reliance on difficult ...
Dongmin Kim, Théo Michelot, Katherine Mertes, Jared A. Stabach, John Fieberg   +4 more
wiley   +1 more source

Hybrid Parallel Model of Semi-Blind Joint Timing-Offset and Channel Estimation for AF-TWRNs

IEEE Access
Timing offset and channel estimation plays an important role in the performance of amplify-and-forward two-way relay networks. The state-of-the art approach models the system as a Hidden Markov Model (HMM) and performs semi-blind estimation using ...
Ali A. El-Moursy, Oruba Alfawaz, Khawla A. Alnajjar, Saeed Abdallah, Mohamed Saad, Fadi Sibai   +5 more
doaj   +1 more source