Results 91 to 100 of about 6,479 (185)

Adaptive Clustering and Feature Selection for Categorical Time Series Using Interpretable Frequency-Domain Features. [PDF]

Stat Interface, 2023
Bruce SA.
europepmc   +1 more source

Robust Confidence Intervals for Process Capability Index Based on Cost and Loss Functions With Bootstrap Enhancement

Quality and Reliability Engineering International, Volume 42, Issue 1, Page 212-224, February 2026.
ABSTRACT Process capability indices (PCIs) are commonly used to evaluate a process's performance in relation to the standards. Greater PCIs do not necessarily translate into lower rejection rates, even though they do indicate a higher level of process quality. Thus, a loss‐ and cost‐based PCI is a better way to measure process capability.
Sanku Dey, Chanseok Park
wiley   +1 more source

Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.
ABSTRACT During the past two decades, methods for identifying groups with different trends in longitudinal data involving a single numeric outcome have become of increasing interest across many areas of research. To support researchers, we summarize the guidance from literature regarding the clustering of such data.
N. G. P. Den Teuling, S. C. Pauws, E. R. van den Heuvel   +2 more
wiley   +1 more source

Interspecific variation in leaf phenology and its relationship with plant traits in a seasonal tropical forest

Functional Ecology, Volume 40, Issue 2, Page 433-450, February 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Leaf phenology plays an important role in plant life‐history strategies and in determining ecosystem‐level fluxes of carbon and water. In seasonal tropical forests, leaf phenology is highly variable among tree species, but limited quantitative data have hindered our ...
John Y. Park, Jeremy W. Lichstein, Helene C. Muller‐Landau, S. Joseph Wright, Stephanie A. Bohlman   +4 more
wiley   +1 more source

Modeling urban evolution by identifying spatiotemporal patterns and applying methods of artificial intelligence.Case study: Athens, Greece. [PDF]

While during the past decades, urban areas experience constant slow population growth, the spatial patterns they form, by means of their limits and borders, are rapidly changing in a complex way. Furthermore, urban areas continue to expand to the expense
Grekoussis, George, Manetos, Panos, Photis, Yorgos N.   +2 more
core   +1 more source

Evolutionary taxonomy and conservation status of environmentally sensitive and endangered musk deer (Moschus spp.): An updated review

Conservation Science and Practice, Volume 8, Issue 2, February 2026.
This study reviews the historical taxonomic classification and evolutionary background of musk deer, clarifying long‐standing confusion in their identification. It highlights the current global distribution and conservation status of these species, emphasizing the threat posed by poaching and habitat destruction. The work aims to raise public awareness
Zhirong Zhang, Yun Su, Wenbin Yan, Zongzhi Li, Tianhua Hu, Jiwu Zhang, Liwei Teng, Zhensheng Liu   +7 more
wiley   +1 more source

Democracy and Economic Development: a Fuzzy Classification Approach [PDF]

The aim of this work is to (1) analyse whether countries differ on political indicators (democracy, rule of law, government effectiveness and corruption) and (2) study whether countries with different political profiles are associated with different ...
Ana Margarida Oliveira Brochado, Francisco Vitorino Martins   +1 more
core  

Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies

Expert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez, Beatriz Remeseiro, Verónica Bolón‐Canedo   +2 more
wiley   +1 more source

Remaining Useful Life Prediction in an Aerospace Engine: A Multivariable Fuzzy Time Series Classification Approach

Expert Systems, Volume 43, Issue 2, February 2026.
ABSTRACT Failures in safety‐critical systems such as aircraft engines pose severe economic and societal risks. This study introduces a novel Remaining Useful Life (RUL) prediction method uniquely combining diverse techniques. Specifically, the proposed methodology integrates fuzzy time series analysis with sliding window segmentation and Multinomial ...
Luiz Rogério de Freitas Júnior, Frederico Gadelha Guimarães   +1 more
wiley   +1 more source

Impact of the Highly Invasive Signal Crayfish (Pacifastacus leniusculus) on Freshwater Macroinvertebrate Communities

Freshwater Biology, Volume 71, Issue 2, February 2026.
ABSTRACT Invasive non‐native species threaten freshwater ecosystems, disrupting the functioning and structure of the food chain and potentially leading to biodiversity loss. As omnivores, crayfish can modify their environment, directly affecting organisms such as macroinvertebrates.
António Barbosa Nogueira, Bruno Oliveira, Janeide Padilha, Simone Varandas, Amílcar Teixeira, Ronaldo Sousa   +5 more
wiley   +1 more source