Suchergebnisse - computer learning and pattern recognition::(evolutionary OR evolution) computing~

Genetic NEAT-Based Method for Multi-Class Classification

Autoren: Alfaham, Abdallah Van Raemdonck, Stijn Mercelis, Siegfried

Quelle: urn:isbn:9798331529314
ACAI 2024 - 2024 7th International Conference on Algorithms, Computing and Artificial Intelligence (2024); 2024 7th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI), Guangzhou, China [CN], 20-12-2024 => 22-12-2024

Schlagwörter: Automated Architecture, Genetic Algorithms, NEAT, Supervised Learning, Automated architecture, Class labels, Evolutionary mechanisms, Genetic mechanism, Machine learning problem, Multi-class classification, Neuro evolutions, Neuroevolution of augmenting topologies, Performance, Specific class, Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty, Computational Mathematics, Control and Optimization, Modeling and Simulation, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: http://xplorestaging.ieee.org/ielx8/10899099/10899447/10899662.pdf?arnumber=10899662

Zugangs-URL: https://orbi.uliege.be/handle/2268/334608

Evolutionary divergence of developmental plasticity and learning of mating tactics in Trinidadian guppies.

Autoren: Yang, Yusan Axelrod, Caleb J. Grant, Elly et al.

Quelle: Journal of Animal Ecology. Mar2025, Vol. 94 Issue 3, p276-290. 15p.

Seismic-driven neural intelligence coupled with hybrid evolution strategy for accurate intrusion detection in cloud-IoT systems.

Autoren: Saravanan, T. Pugalenthi, R.

Quelle: Journal of Supercomputing. Nov2025, Vol. 81 Issue 16, p1-51. 51p.

Analysis of calligraphy Chinese character recognition technology based on deep learning and computer-aided technology.

Autoren: Si, Huihui¹ (AUTHOR) sihuihuiemail@163.com

Quelle: Soft Computing - A Fusion of Foundations, Methodologies & Applications. Jan2024, Vol. 28 Issue 1, p721-736. 16p.

Schlagwörter: *DEEP learning, *PATTERN recognition systems, *CONVOLUTIONAL neural networks, *CHINESE characters, *MACHINE learning, *CALLIGRAPHY

Big Data Analytics Research - A Scientometric View.

Autoren: Raja, D. Samuvel Sivaraman, P.

Quelle: Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p867-876, 10p

Schlagwörter: PATTERN recognition systems, DATA analytics, TIME series analysis, STATISTICAL learning, DATA science, BIG data, DIGITAL technology

PainSeeker: a head pose-invariant deep learning method for assessing rat's pain by facial expressions.

Autoren: Liu, Liu Li, Guang Deng, Dingfan et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-13. 13p.

Identification and Recognition of Animals from Biometric Markers Using Computer Vision Approaches: A Review.

Autoren: CIHAN, Pınar SAYGILI, Ahmet OZMEN, Nihat Eren et al.

Quelle: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Nov/Dec2023, Vol. 29 Issue 6, p581-593. 13p.

Schlagworte: Identification of animals, Computer vision, Animal tracks, Biometry, Theft prevention, Identification

Faces of time: a historical overview of rapid innovations in coding animal facial signals.

Autoren: Lazebnik, Teddy Florkiewicz, Brittany

Quelle: Frontiers in Veterinary Science. 2025, p1-8. 8p.

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Autoren: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Quelle: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Schlagworte: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

Comprehensive Analysis of Publications on the Use of Artificial Intelligence in Aquaculture Published in Web of Science.

Alternate Title: Web of Science'da Yayımlanan Su Ürünleri Yetiştiriciliğinde Yapay Zekanın Kullanımı Konusundaki Yayınların Kapsamlı Analizi.

Autoren: AYDIN, Hamdi¹ aydin@kocaeli.edu.tr

Quelle: Journal of Anatolian Environmental & Animal Science. 2025, Vol. 10 Issue 3, p237-246. 10p.

Implementation of a Deep Learning System for Detection and Classification of Lumpy Skin Disease in Cattle: Enhancing Precision and Efficiency in Veterinary Diagnostics.

Autoren: Pal, Madhumita Behera, Soudamini Mohapatra, Ranjan K. et al.

Quelle: Veterinary Medicine & Science. Nov2025, Vol. 11 Issue 6, p1-20. 20p.

Schlagworte: Lumpy skin disease, Deep learning, Ensemble learning, Veterinary clinical pathology, Health of cattle, Transformer models, Machine learning

A Decade of Music Emotion Computing: A Bibliometric Analysis of Trends, Interdisciplinary Collaboration, and Applications.

Autoren: Zhang, Jingjing Chen, Wei

Quelle: Education for Information. Aug2025, Vol. 41 Issue 3, p227-255. 29p.

Schlagwörter: *Bibliometrics, *Recommender systems, Music & emotions, Data privacy, Musical analysis

Improving Accuracy of Evolving GMM Under GPGPU-Friendly Block-Evolutionary Pattern.

Autoren: Chen, Chunlei Wang, Chengduan Hou, Jinkui et al.

Quelle: International Journal of Pattern Recognition & Artificial Intelligence. Mar2020, Vol. 34 Issue 3, pN.PAG-N.PAG. 34p.

Schlagwörter: *GAUSSIAN mixture models, *EXPECTATION-maximization algorithms, *COMPUTER systems, *SILICON germanium integrated circuits

A gentle introduction to computer vision‐based specimen classification in ecological datasets.

Autoren: Blair, Jarrett D. Gaynor, Kaitlyn M. Palmer, Meredith S. et al.

Quelle: Journal of Animal Ecology. Feb2024, Vol. 93 Issue 2, p147-158. 12p.

Geovisualization: past, present, and future.

Autoren: Andrienko, Natalia Andrienko, Gennady

Quelle: International Journal of Cartography. May2025, Vol. 11 Issue 2, p224-234. 11p.

Schlagwörter: *REAL-time computing, *MACHINE learning, *ARTIFICIAL intelligence, *PATTERN recognition systems, *COMPUTER science, *EYE tracking

Continuing evolution of H5N1 highly pathogenic avian influenza viruses of clade 2.3.2.1a G2 genotype in domestic poultry of Bangladesh during 2018–2021.

Autoren: Nooruzzaman, Mohammed Mumu, Tanjin Tamanna Hossain, Ismail et al.

Quelle: Avian Pathology. Apr2025, Vol. 54 Issue 2, p198-211. 14p.

MOBILE USER ENGLISH LEARNING PATTERN RECOGNITION MODEL BASED ON INTEGRATED LEARNING.

Autoren: QIAN ZHANG YUNLAN REN

Quelle: Scalable Computing: Practice & Experience; Jul2024, Vol. 25 Issue 4, p2371-2384, 14p

Schlagwörter: MOBILE learning, PATTERN recognition systems, ENGLISH language, INDIVIDUALIZED instruction, FEATURE selection, MOBILE operating systems

Brain-Inspired Computing : 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers

Autoren: Katrin Amunts Lucio Grandinetti Thomas Lippert et al.

Resource Type: eBook.

Schlagworte: Neural computers--Congresses

Categories: COMPUTERS / Human-Computer Interaction (HCI), COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Hardware / General, COMPUTERS / User Interfaces

Multiple-Aspect Analysis of Semantic Trajectories

Autoren: Konstantinos Tserpes Chiara Renso Stan Matwin

Resource Type: eBook.

Schlagworte: Data mining--Congresses, Semantic computing--Congresses

Categories: MATHEMATICS / Probability & Statistics / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition

The role of artificial intelligence in detecting avian influenza virus outbreaks: A review.

Autoren: Shafi, Majid Shabir, Shabia Jan, Sami et al.

Quelle: Open Veterinary Journal. 2025, Vol. 15 Issue 5, p1880-1894. 15p.

Schlagworte: Avian influenza A virus, Poultry diseases, Data analytics, Artificial intelligence, Poultry industry