Výsledky vyhľadávania - Neural nets AND related approaches to reference from stochastic processes*

Towards end‐to‐end likelihood‐free inference with convolutional neural networks: Towards end-to-end likelihood-free inference with convolutional neural networks

Autori: Stefan T. Radev Ulf K. Mertens Andreas Voss a ďalší

Zdroj: British Journal of Mathematical and Statistical Psychology. 73:23-43

Predmety: Likelihood Functions, Bayesian inference, 05 social sciences, leaky competing accumulator, Bayes Theorem, 01 natural sciences, Causal inference from observational studies, convolutional network, Neural nets and related approaches to inference from stochastic processes, Machine Learning, approximate Bayesian computation, machine learning, likelihood-free inference, Humans, Regression Analysis, Computer Simulation, 0501 psychology and cognitive sciences, Neural Networks, Computer, 0101 mathematics, Computational methods for problems pertaining to statistics, Algorithms, Applications of statistics to psychology

Popis súboru: application/xml

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/30793299
https://zbmath.org/7239909
https://doi.org/10.1111/bmsp.12159
https://www.onlinelibrary.wiley.com/doi/abs/10.1111/bmsp.12159
https://www.onlinelibrary.wiley.com/doi/pdf/10.1111/bmsp.12159
https://www.ncbi.nlm.nih.gov/pubmed/30793299
https://pubmed.ncbi.nlm.nih.gov/30793299/
https://bpspsychub.onlinelibrary.wiley.com/doi/abs/10.1111/bmsp.12159
https://europepmc.org/article/MED/30793299

Advanced reference crop evapotranspiration prediction: a novel framework combining neural nets, bee optimization algorithm, and mode decomposition.

Autori: Elbeltagi, Ahmed Katipoğlu, Okan Mert Kartal, Veysi a ďalší

Zdroj: Applied Water Science; Dec2024, Vol. 14 Issue 12, p1-27, 27p

Predmety: HILBERT-Huang transform, OPTIMIZATION algorithms, SUSTAINABILITY, FARM management, BEES algorithm, WATERSHED management

Geografický termín: EGYPT

Global stability conditions for delayed CNNs

Autori: Jinde Cao

Zdroj: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications. 48:1330-1333

Predmety: Neural nets and related approaches to inference from stochastic processes, Qualitative investigation and simulation of models involving functional-differential equations, Stability theory of functional-differential equations, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, delayed cellular neural networks, 02 engineering and technology, Neural networks for/in biological studies, artificial life and related topics, 01 natural sciences, global stability

Popis súboru: application/xml

Prístupová URL adresa: http://ieeexplore.ieee.org/document/964422
https://ieeexplore.ieee.org/document/964422/

Design and Implementation of a Deep Learning System to Analyze Bovine Sperm Morphology.

Autori: Sevilla, Francisco Araya-Zúñiga, Ignacio Méndez-Porras, Abel a ďalší

Zdroj: Veterinary Sciences. Oct2025, Vol. 12 Issue 10, p1015. 18p.

Urbanization drives adaptive evolution in a Neotropical bird.

Autori: Mascarenhas, Rilquer Meirelles, Pedro Milet Batalha-Filho, Henrique

Zdroj: Current Zoology. Oct2023, Vol. 69 Issue 5, p607-619. 13p.

Predmet: Biological evolution, Gene expression, City dwellers, Natural selection, Genetic regulation, Physiological adaptation, Bird populations

Geografický termín: South America

A Deep Learning Approach For Automated Rice Disease Detection And Classification.

Autori: Mandwariya, Deepika Jotwani, Varsha

Zdroj: Journal of Advanced Zoology. 2024, Vol. 45 Issue 3, p316-335. 20p.

ENHANCING THE SUSTAINABILITY OF RABBIT PRODUCTION FROM THE PERSPECTIVE OF ANIMAL GENETICS.

Autori: Pablo Sánchez, Juan¹ juanpablo.sanchez@uco.es

Zdroj: World Rabbit Science. Jan-Mar2025, Vol. 33 Issue 1, p1-11. 11p.

PROCEEDINGS ONE HUNDRED AND TWENTY EIGHTH ANNUAL MEETING OF THE UNITED STATES ANIMAL HEALTH ASSOCIATION.

Zdroj: Proceedings of the Annual Meeting of the United States Animal Health Association. 10/10/2024, Vol. 128, p1-339. 336p.

Employing deep convolutional neural networks for segmenting the medial retropharyngeal lymph nodes in CT studies of dogs.

Autori: Schmid, David Scholz, Volkher B. Kircher, Patrick R. a ďalší

Zdroj: Veterinary Radiology & Ultrasound. Nov2022, Vol. 63 Issue 6, p763-770. 8p.

Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review.

Autori: Theodore Armand, Tagne Poupi Nfor, Kintoh Allen Kim, Jung-In a ďalší

Zdroj: Nutrients. Apr2024, Vol. 16 Issue 7, p1073. 24p.

Classification of the quality of canine and feline ventrodorsal and dorsoventral thoracic radiographs through machine learning.

Autori: Tahghighi, Peyman Appleby, Ryan B. Norena, Nicole a ďalší

Zdroj: Veterinary Radiology & Ultrasound. Jul2024, Vol. 65 Issue 4, p417-428. 12p.

Automated landmark-based cat facial analysis and its applications.

Autori: Martvel, George Lazebnik, Teddy Feighelstein, Marcelo a ďalší

Zdroj: Frontiers in Veterinary Science. 2024, p1-12. 12p.

An efficient segmentation model for abnormal chicken droppings recognition based on improved deep dual-resolution network.

Autori: He, Pengguang Wu, Rui Liu, Da a ďalší

Zdroj: Journal of Animal Science. 2024, Vol. 102, p1-16. 16p.

Predmet: Chickens, Manual labor, Agriculture, Integers, Algorithms

Design of Intelligent Neuro-Supervised Networks for Brain Electrical Activity Rhythms of Parkinson's Disease Model.

Autori: Mukhtar, Roshana Chang, Chuan-Yu Raja, Muhammad Asif Zahoor a ďalší

Zdroj: Biomimetics (2313-7673); Jul2023, Vol. 8 Issue 3, p322, 24p

Predmety: PARKINSON'S disease, MATHEMATICAL models, CLIMATE change, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence

Two Machine Learning Models to Economize Glaucoma Screening Programs: An Approach Based on Neural Nets.

Autori: Hitzl, Wolfgang Lenzhofer, Markus Hohensinn, Melchior a ďalší

Zdroj: Journal of Personalized Medicine; Aug2025, Vol. 15 Issue 8, p361, 14p

Predmety: GLAUCOMA, OPEN-angle glaucoma, PREDICTION models, OPHTHALMOLOGY, INTRAOCULAR pressure, ARTIFICIAL neural networks, MEDICAL care costs, MACHINE learning

"A Good Bot Always Knows Its Limitations": Assessing Autonomous System Decision-Making Competencies through Factorized Machine Self-Confidence.

Autori: Israelsen, Brett Ahmed, Nisar R. Aitken, Matthew a ďalší

Zdroj: ACM Transactions on Human-Robot Interaction; Dec2025, Vol. 14 Issue 4, p1-63, 63p

Predmety: SELF-confidence, DECISION making, METACOGNITION, STATISTICAL decision making, AUTONOMOUS robots, EVALUATION methodology, MARKOV processes

The statistical building blocks of animal movement simulations.

Autori: Getz, Wayne M. Salter, Richard Sethi, Varun a ďalší

Zdroj: Movement Ecology. 9/30/2024, Vol. 12 Issue 1, p1-24. 24p.

Pantropical spotted dolphin (Stenella attenuata attenuata) abundance estimates in Maui Nui, Hawaiʻi reveal small population in need of monitoring.

Autori: Barber-Meyer, Shannon M. Olson, Grace L. Currie, Jens J.

Zdroj: Frontiers in Mammal Science. 2024, p1-14. 14p.

ASAS-NANP symposium: mathematical modeling in animal nutrition: agent-based modeling for livestock systems: the mechanics of development and application.

Autori: Kaniyamattam, Karun Tedeschi, Luis O.

Zdroj: Journal of Animal Science. Jan2023, Vol. 101 Issue 1, p1-11. 11p. 4 Diagrams.

Fault classification in the architecture of virtual machine using deep learning.

Autori: Rawat, Ajay Mishra, Anupama Alsharif, Hind a ďalší

Zdroj: Scientific Reports; 10/2/2025, Vol. 15 Issue 1, p1-14, 14p

Predmety: VIRTUAL machine systems, DEEP learning, METADATA, FAULT diagnosis, NETWORK performance, FEATURE selection