Výsledky vyhledávání - Computing methodologies Machine learning Machine learning approaches Kernel methods

Miscellaneous EEG Preprocessing and Machine Learning for Pilots' Mental States Classification: Implications

Autoři: Ibrahim Mohammad Alreshidi Irene Moulitsas Karl W. Jenkins

Zdroj: 2022 The 6th International Conference on Advances in Artificial Intelligence. :29-39

Témata: Machine learning approaches, 03 medical and health sciences, Support vector machines, Hardware, 0302 clinical medicine, Machine learning, interfaces and storage, Kernel methods, Noise reduction, Communication hardware, Computing methodologies, Neural networks, Signal processing systems

Přístupová URL adresa: https://dspace.lib.cranfield.ac.uk/handle/1826/18784

Towards Automatic Generation of Performance Models for Dynamic Tuning using Machine Learning

Autoři: Alcaraz Rodriguez, Jordi

Thesis Advisors: jordi_alc@hotmail.com, Sikora, Anna, César Galobardes, Eduardo

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Aprenentatge automàtic, Aprendizaje automático, Machine learning, Eines de rendiment, Herramientas de rendimiento, Performance tools, Computació d'altes prestacions, Computación de altas prestaciones, High performance computing, Ciències Experimentals

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/675104

Detecting Anomalies in Time Series Using Kernel Density Approaches

Autoři: Frehner, Robin Wu, Kesheng Sim, Alexander a další

Zdroj: IEEE Access. 12(99)

Témata: 46 Information and Computing Sciences (for-2020), 4611 Machine Learning (for-2020), Time series anomaly detection, machine learning, neural networks, autoencoder, kernel density estimation, 08 Information and Computing Sciences (for), 09 Engineering (for), 10 Technology (for), 40 Engineering (for-2020), 46 Information and computing sciences (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/78m512td
https://escholarship.org/content/qt78m512td/qt78m512td.pdf

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

Autoři: Pal, Madhumita Behera, Soudamini Mohapatra, Ranjan K. a další

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

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

Quantum-Inspired Algorithms and Perspectives for Optimization.

Autoři: Iovane, Gerardo

Zdroj: Electronics (2079-9292); Jul2025, Vol. 14 Issue 14, p2839, 27p

Témata: MATHEMATICAL optimization, EVOLUTIONARY algorithms, INTERNET security, MATHEMATICAL programming, ALGORITHMS, MACHINE learning

A review on advancements in feature selection and feature extraction for high-dimensional NGS data analysis.

Autoři: Borah K Das HS Seth S a další

Zdroj: Functional & integrative genomics [Funct Integr Genomics] 2024 Aug 19; Vol. 24 (5), pp. 139. Date of Electronic Publication: 2024 Aug 19.

Způsob vydávání: Journal Article; Review

Informace o časopise: Publisher: Springer Country of Publication: Germany NLM ID: 100939343 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-7948 (Electronic) Linking ISSN: 1438793X NLM ISO Abbreviation: Funct Integr Genomics Subsets: MEDLINE

Výrazy ze slovníku MeSH: High-Throughput Nucleotide Sequencing*/methods , Machine Learning*, Humans ; Deep Learning

Deep learning-based evaluation of the severity of mitral regurgitation in canine myxomatous mitral valve disease patients using digital stethoscope recordings.

Autoři: Lee, Soh-Yeon Lee, Sully Kim, Se-Hoon a další

Zdroj: BMC Veterinary Research. 5/8/2025, Vol. 21 Issue 1, p1-15. 15p.

Témata: Convolutional neural networks, Mitral valve insufficiency, Deep learning, Congestive heart failure, Electronic records

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

Autoři: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar a další

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

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

Geospatial Feature-Based Path Loss Prediction at 1800 MHz in Covenant University Campus with Tree Ensembles, Kernel-Based Methods, and a Shallow Neural Network.

Autoři: Moreno-Cuevas, Marta Lorente-López, José Rodríguez, José-Víctor a další

Zdroj: Electronics (2079-9292); Oct2025, Vol. 14 Issue 20, p4112, 38p

Témata: MACHINE learning, RANDOM forest algorithms, BOOSTING algorithms, SUPPORT vector machines, ARTIFICIAL neural networks, GEOGRAPHY

A New Memory-Processing Unit Model Based on Spiking Neural P Systems with Dendritic and Synaptic Behavior for Kronecker Matrix–Matrix Multiplication.

Autoři: Garcia, Luis Anides, Esteban Ramse Vazquez, Eduardo a další

Zdroj: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 22, p3663, 10p

Témata: QUANTUM computing, MACHINE learning, KRONECKER products, SIGNAL processing, PARALLEL computers, ARTIFICIAL neural networks, OPTIMIZATION algorithms

A Review of Machine Learning Algorithms for Biomedical Applications.

Autoři: Binson VA Thomas S Subramoniam M a další

Zdroj: Annals of biomedical engineering [Ann Biomed Eng] 2024 May; Vol. 52 (5), pp. 1159-1183. Date of Electronic Publication: 2024 Feb 21.

Způsob vydávání: Journal Article; Review

Informace o časopise: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 0361512 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-9686 (Electronic) Linking ISSN: 00906964 NLM ISO Abbreviation: Ann Biomed Eng Subsets: MEDLINE

Výrazy ze slovníku MeSH: Algorithms* , Machine Learning*, Humans ; Neural Networks, Computer ; Support Vector Machine

Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis.

Autoři: Siddique, Aftab Batchu, Phaneendra Shaik, Arshad a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-11. 11p.

A Multi-Feature Fusion Approach for Road Surface Recognition Leveraging Millimeter-Wave Radar.

Autoři: Qiu, Zhimin Shao, Jinju Guo, Dong a další

Zdroj: Sensors (14248220); Jun2025, Vol. 25 Issue 12, p3802, 21p

Témata: MACHINE learning, PAVEMENTS, K-nearest neighbor classification, SUPPORT vector machines, AUTONOMOUS vehicles, DISCRETE wavelet transforms

Machine learning-based clinical mastitis detection in dairy cows using milk electrical conductivity and somatic cell count.

Autoři: Pan, Lihong Chen, Xiao Han, Ding a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-9. 9p.

Explainable Machine Learning Framework for Milk Quality Grading.

Alternate Title: Süt Kalitesi Derecelendirmesi için Açıklanabilir Makine Öğrenimi Çerçevesi.

Autoři: ÇETİNTAV, Bekir YALÇIN, Ahmet

Zdroj: Kocatepe Veterinary Journal / Kocatepe Veteriner Dergisi. Sep2025, Vol. 18 Issue 3, p227-235. 9p.

Elegante: A Machine Learning-Based Threads Configuration Tool for SpMV Computations on Shared Memory Architecture.

Autoři: Ahmad, Muhammad Sardar, Usman Batyrshin, Ildar a další

Zdroj: Information. Nov2024, Vol. 15 Issue 11, p685. 19p.

Témata: *Machine learning, Linear differential equations, Computational fluid dynamics, Partial differential equations, Structural optimization, Random forest algorithms

Generative-Discriminative Machine Learning Models for High-Frequency Financial Regime Classification.

Autoři: Koukorinis, Andreas Peters, Gareth W. Germano, Guido

Zdroj: Methodology & Computing in Applied Probability. Jun2025, Vol. 27 Issue 2, p1-32. 32p.

Generative-discriminative machine learning models for high-frequency financial regime classification

Autoři: Koukorinis, Andreas Peters, Gareth W. Germano, Guido

Zdroj: Methodology and Computing in Applied Probability. 27

Témata: Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.), kernel methods, Fisher information, Markov processes: estimation, hidden Markov models, Kernel methods, support vector machine, Fisher information kernel, high-frequency financial regime, hidden Markov model, Markov chains (discrete-time Markov processes on discrete state spaces), Financial applications of other theories

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/8032162
https://doi.org/10.1007/s11009-025-10148-8
https://ora.ox.ac.uk/objects/uuid:5a4d813b-3efb-4c31-8aca-f2db4fa2ac48
https://doi.org/10.1007/s11009-025-10148-8
http://eprints.lse.ac.uk/128016/

Support Vector Machines: Theory, Algorithms, and Applications.

Autoři: Jabardi, Mohammed

Zdroj: Infocommunications Journal; Mar2025, Vol. 17 Issue 1, p66-75, 10p

Témata: SUPPORT vector machines, KERNEL functions, MACHINE theory, MACHINE learning, IMAGE processing

A novel mixed-attribute data anomaly detection method based on granular-ball multi-kernel fuzzy rough sets.

Autoři: Gao, Cong Wang, Qiu Chen, Yanping a další

Zdroj: Neurocomputing. Dec2025, Vol. 656, pN.PAG-N.PAG. 1p.

Témata: *ANOMALY detection (Computer security), *ROUGH sets, *MACHINE learning, *ROBUST statistics, *GRANULAR computing