Results 261 to 270 of about 511,753 (356)

A fractal pattern of hierarchical genetic population structure in mixed stocks across fish segregated by dams revealed by genomic resources for curimba Prochilodus lineatus

Journal of Fish Biology, EarlyView.
Abstract Genomic resources, new microsatellite markers and a novel observation of a fractal pattern in the genetic population structure are presented for curimba, Prochilodus lineatus, a freshwater migratory model species of South America. Our main goals were to investigate the presence of mixed fish stocks and the effects of damming‐induced ...
Gabriel M. Yazbeck, Gésica Aparecida Santana Nascimento, Leiliane Campos Carvalho, Raíssa Cristina Dias Graciano, Rosiane de Paula Santos, Rafael Sachetto Oliveira   +5 more
wiley   +1 more source

Downscaling projections of Indian monsoon rainfall using a non‐homogeneous hidden Markov model

, 2011
Arthur M. Greene, Andrew W. Robertson, Padhraic Smyth, Scott Triglia   +3 more
openalex   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

Journal of Integrative Plant Biology, EarlyView.
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu, Shouzhi Zheng, Longjiang Fan, Xiaoming Zheng, Qian Qian   +4 more
wiley   +1 more source

An FPGA-based hardware accelerator supporting sensitive sequence homology filtering with profile hidden Markov models. [PDF]

BMC Bioinformatics
Anderson T, Wheeler TJ.
europepmc   +1 more source

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

Journal of Microscopy, EarlyView.
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger, Tuan T. Nguyen, Gianluca Tozzi   +2 more
wiley   +1 more source

Inference of genomic landscapes using ordered Hidden Markov Models with emission densities (oHMMed). [PDF]

BMC Bioinformatics
Vogl C, Karapetiants M, Yıldırım B, Kjartansdóttir H, Kosiol C, Bergman J, Majka M, Mikula LC.   +7 more
europepmc   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, EarlyView.
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

Optimal Inference of Hidden Markov Models Through Expert-Acquired Data. [PDF]

IEEE Trans Artif Intell
Ravari A, Ghoreishi SF, Imani M.
europepmc   +1 more source

The Monetary Policy–Commodities Nexus: A Survey

Journal of Economic Surveys, EarlyView.
ABSTRACT This survey synthesizes evidence on the bidirectional links between commodity markets and monetary policy. On the commodities‐to‐policy side, we review how shocks to energy, food, and metals pass through to inflation, inflation expectations, economic activity, and financial stability in state‐dependent ways that vary by shock type, exposure ...
Martin T. Bohl, Niklas Humann, Pierre L. Siklos   +2 more
wiley   +1 more source

Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models. [PDF]

Neuroinformatics
Palma GR, Thornberry C, Commins S, Moral RA.   +3 more
europepmc   +1 more source