Results 91 to 100 of about 8,821,946 (173)

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

Biogeographical Expansion and Integrative Taxonomic Confirmation of Cortinarius saniosus (Fr.) Fr. and C. desertorum (Velen.) G. Garnier in Anatolia

New Zealand Journal of Botany, Volume 64, Issue 3, September 2026.
Integrative morphological and ITS‐based phylogenetic analyses confirm the occurrence of Cortinarius saniosus and C. desertorum in the montane Pinus sylvestris forests of Eastern Anatolia, Türkiye. These records represent a significant southeastward expansion of the species’ documented, distributions and provide molecularly characterized material from ...
Mustafa Emre Akçay
wiley   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali, Ji Zhang, Xiaohui Tao, Raj Gururajan, Xujuan Zhou, Yuquan Gan, Josh Jia‐Ching Ying   +6 more
wiley   +1 more source

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos, Alexandra Theodoropoulou   +1 more
wiley   +1 more source

Behavioural state identification from ultra‐high‐frequency movement data

Methods in Ecology and Evolution, Volume 17, Issue 9, Page 2713-2728, September 2026.
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, Paul G. Blackwell, James Redcliffe, Luca Börger, Jonathan R. Potts   +4 more
wiley   +1 more source

Improving the performance of Hierarchical Hidden Markov Models on Information Extraction tasks [PDF]

, 2006
This thesis presents novel methods for creating and improving hierarchical hidden Markov models. The work centers around transforming a traditional tree structured hierarchical hidden Markov model (HHMM) into an equivalent model that reuses repeated sub-
Chou, Lin-Yi
core  

Spatial Ecology of Jaguars in a Coastal Amazon Island Ecosystem

Biotropica, Volume 58, Issue 5, September 2026.
ABSTRACTUnderstanding the spatial ecology of large carnivores is critical for conservation, particularly in insular or fragmented systems where movement is constrained. Jaguars (Panthera onca) are especially informative because their behavior and diet are highly flexible in response to local ecological conditions.
Leandro Silveira, Anah T. A. Jácomo, Tiago J. Silveira, Gediendson R. de Araujo, Renato A. Moreira, Francesca B. L. Palmeira, Marcia de A. M. M. Ferraz, Michael J. Noonan   +7 more
wiley   +1 more source

The Staircase Chart: Visualising Vertical and Cross‐Shelf Movements and Dispersal of Early‐Life Fish, Applied to Japanese Jack Mackerel

Fisheries Oceanography, Volume 35, Issue 5, Page 689-703, September 2026.
ABSTRACT Dispersal during early life stages is a critical process shaping marine fish connectivity and population dynamics, yet direct field observations at the individual level remain elusive. This has limited our understanding of the factors controlling dispersal, including the impact of active swimming by larvae and juveniles. Here, we present a new
Tatsuya Sakamoto, Daichi Muto, Motomitsu Takahashi, Chiyuki Sassa, Toyoho Ishimura   +4 more
wiley   +1 more source

Integrating enhanced feature fusion with adaptive hidden semi-markov model and deep neural network for robust deepfake detection in Internet of Things-based edge computing environments

Journal of King Saud University: Computer and Information Sciences
The increasing convergence of Internet of Things (IoT) devices and edge computing platforms in current digital networks has presented extraordinary opportunities.
Jawhara Aljabri
doaj   +1 more source

Deep Hidden Semi-Markov Model-Based Speech Synthesis

IEEE Access
This paper proposes a speech synthesis technique based on a neural sequence-to-sequence (Seq2Seq) model that incorporates the structure of hidden semi-Markov models (HSMMs).
Yoshihiko Nankaku, Takato Fujimoto, Takenori Yoshimura, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda   +6 more
doaj   +1 more source