Abstract Models of infectious disease dynamics focus on describing the temporal and spatial
variations in disease prevalence, and on understanding the factors that affect how many …

Over the years, researchers have continued to put forward solutions to lessen the threats
faced by whales within their ecosystem. The correct detection of the different species of …

Abstract Hidden Markov models (HMMs) are a popular approach for modeling sequential
data, typically based on the assumption of a first-or moderate-order Markov chain. However …

Array-based comparative genomic hybridization (Array-CGH) is an important technology in
molecular biology for the detection of DNA copy number polymorphisms between closely …

An efficient method for weakly supervised pattern discovery and recognition from discrete
categorical sequences is introduced. The method utilizes two parallel sources of data …

In the traditional hidden Markov model (HMM) for statistical learning and classification,
aleatory uncertainty because of randomness and epistemic uncertainty that is due to the lack …

Since the initial point of Langran (1993) saying that Geographic Information Systems (GIS)
were poorly equipped to handle temporal data, many researchers have sought to integrate …

Generative models for sequential data are usually based on the assumption of temporal
dependencies described by a first-order Markov chain. To ameliorate this shallow modeling …

The duration high-order hidden Markov model (DHO-HMM) can capture the dynamic
evolution of a physical system more precisely than can the first-order hidden Markov model …

Whales emit a variety of distinctive sound signals for communication, echolocation, and
other social functions, which are gathered through passive acoustic monitoring (PAM) …