Search Results - Computing methodologies Machine learning Machine learning approaches Kernel methods~

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

Authors: Ibrahim Mohammad Alreshidi Irene Moulitsas Karl W. Jenkins

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

Subject Terms: 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

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

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

Authors: Alcaraz Rodriguez, Jordi

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

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: 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

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/675104

Detecting Anomalies in Time Series Using Kernel Density Approaches

Authors: Frehner, Robin Wu, Kesheng Sim, Alexander et al.

Source: IEEE Access. 12(99)

Subject Terms: 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)

File Description: application/pdf

Access URL: 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.

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

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

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

Quantum-Inspired Algorithms and Perspectives for Optimization.

Authors: Iovane, Gerardo

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

Subject Terms: 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.

Authors: Borah K Das HS Seth S et al.

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

Publication Type: Journal Article; Review

Journal Info: 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

MeSH Terms: 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.

Authors: Lee, Soh-Yeon Lee, Sully Kim, Se-Hoon et al.

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

Subjects: 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.

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

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

Subjects: 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.

Authors: Moreno-Cuevas, Marta Lorente-López, José Rodríguez, José-Víctor et al.

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

Subject Terms: 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.

Authors: Garcia, Luis Anides, Esteban Ramse Vazquez, Eduardo et al.

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

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

A Review of Machine Learning Algorithms for Biomedical Applications.

Authors: Binson VA Thomas S Subramoniam M et al.

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

Publication Type: Journal Article; Review

Journal Info: 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

MeSH Terms: 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.

Authors: Siddique, Aftab Batchu, Phaneendra Shaik, Arshad et al.

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

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

Authors: Qiu, Zhimin Shao, Jinju Guo, Dong et al.

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

Subject Terms: 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.

Authors: Pan, Lihong Chen, Xiao Han, Ding et al.

Source: 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.

Authors: ÇETİNTAV, Bekir YALÇIN, Ahmet

Source: 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.

Authors: Ahmad, Muhammad Sardar, Usman Batyrshin, Ildar et al.

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

Subject Terms: *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.

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

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

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

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

Source: Methodology and Computing in Applied Probability. 27

Subject Terms: 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

File Description: application/xml

Access URL: 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.

Authors: Jabardi, Mohammed

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

Subject Terms: 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.

Authors: Gao, Cong Wang, Qiu Chen, Yanping et al.

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

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