Výsledky vyhľadávania - "Inference algorithm"

Adversarial Inference Control in Cyber-Physical Systems: A Bayesian Approach With Application to Smart Meters

Autori: Avula, Ramana Reddy Oechtering, Tobias J. Mansson, Daniel

Zdroj: IEEE Access. 12:24933-24948

Predmety: Bayesian networks, Cyber Physical System, Deep learning, Embedded systems, Hidden Markov models, Inference engines, Network layers, Reinforcement learning, Smart meters, Adversarial inference, Adversarial machine learning, Bayes method, Bayesian control, Cybe-physical systems, Cyber-physical systems, Deep reinforcement learning, Hidden-Markov models, Inference algorithm, Machine-learning, Privacy, Privacy control, Reinforcement learnings, Waters resources, Data acquisition

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-72861
https://doi.org/10.1109/ACCESS.2024.3365270

Self-consistent gravity model for inferring node mass in flow networks

Autori: Daekyung Lee Wonguk Cho Heetae Kim a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-10 (2025)

Predmety: Gravity model, Inference algorithm, Data-driven analysis, Trade flow, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/66a1205527954de283a4e93281378103

The Differentiation of Residents’ Cultural Consumption Tendency and Consumption Recommendation System Based on Network Inference Algorithm

Autori: Lian Naiyu Xu Hengzhe Zhang Feiyang

Zdroj: Foundations of Computing and Decision Sciences, Vol 49, Iss 2, Pp 121-138 (2024)

Predmety: bias, recommendation system, accuracy, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, network inference algorithm

Prístupová URL adresa: https://doaj.org/article/9ac73c5e4aea41ec967dcc768cf9ee23

A Model for Detecting Xanthomonas campestris Using Machine Learning Techniques Enhanced by Optimization Algorithms

Autori: Daniel-David Leal-Lara Julio Barón-Velandia Lina-María Molina-Parra a ďalší

Zdroj: Agriculture ; Volume 15 ; Issue 3 ; Pages: 223

Predmety: Sugeno fuzzy inference algorithm, adaptive neuro-fuzzy inference system ANFIS, Xanthomonas campestris, hybrid intelligent algorithm, digital image processing, pattern recognition

Geografické téma: agris

Popis súboru: application/pdf

Relation: Digital Agriculture; https://dx.doi.org/10.3390/agriculture15030223

Dostupnosť: https://doi.org/10.3390/agriculture15030223

BAYES-PIPEDREAM: Bayes for Pharmaceutical Innovation, Progression Errors, Decision Risks, Efficiency & Attrition in Medicine

Autori: Dennis Lendrem

Predmety: Other biomedical and clinical sciences not elsewhere classified, drug development and approval, Bayesian inference algorithm, R&D efficiency, translational medial research

Dostupnosť: https://doi.org/10.6084/m9.figshare.29827739.v2
https://figshare.com/articles/preprint/BAYES-PIPEDREAM_Bayes_for_Pharmaceutical_Innovation_Progression_Errors_Decision_Risks_Efficiency_Attrition_in_Medicine/29827739

Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition

Autori: Albertin, Umberto Priarone, Ariel Cena, Carlo a ďalší

Prispievatelia: Albertin, Umberto Priarone, Ariel Cena, Carlo a ďalší

Predmety: Vibration, Measurement, Machine learning algorithm, Computational modeling, Machine learning, Benchmark testing, Feature extraction, Inference algorithm, Anomaly detection, Unsupervised learning

Popis súboru: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-5449-2; ispartofbook:2024 the 8th International Conference on System Reliability and Safety; 2024 8th International Conference on System Reliability and Safety (ICSRS); firstpage:198; lastpage:207; numberofpages:10; https://hdl.handle.net/11583/2998715; https://ieeexplore.ieee.org/document/10927428

Dostupnosť: https://hdl.handle.net/11583/2998715
https://doi.org/10.1109/icsrs63046.2024.10927428
https://ieeexplore.ieee.org/document/10927428

A Study of Entity Relationship Extraction Algorithms Based on Symmetric Interaction between Data, Models, and Inference Algorithms

Autori: Ping Feng Nannan Su Jiamian Xing a ďalší

Zdroj: Applied Sciences, Vol 14, Iss 3, p 1058 (2024)

Predmety: named entity recognition, relationship extraction, data, model, inference algorithm, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/3/1058; https://doaj.org/toc/2076-3417; https://doaj.org/article/e2a93568d5dd421d8734922e2beb776c

Dostupnosť: https://doi.org/10.3390/app14031058
https://doaj.org/article/e2a93568d5dd421d8734922e2beb776c

A Novel Risk Matrix Approach Based on Cloud Model for Risk Assessment Under Uncertainty

Autori: Yu Jianxing Chen Haicheng Wu Shibo a ďalší

Zdroj: IEEE Access, Vol 9, Pp 27884-27896 (2021)

Predmety: cloud model, 0202 electrical engineering, electronic engineering, information engineering, risk assessment, process safety, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Mamdani inference algorithm, Risk matrix, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09351909.pdf
https://doaj.org/article/903a2f4c8ee64b4c909cfe6e0ce893bb
https://dblp.uni-trier.de/db/journals/access/access9.html#JianxingHSH21
https://ieeexplore.ieee.org/document/9351909
https://doaj.org/article/903a2f4c8ee64b4c909cfe6e0ce893bb

Identification of Individual Infection Over Networks With Limit Observation: Random vs. Epidemic?

Autori: Jaeyoung Choi

Zdroj: IEEE Access, Vol 9, Pp 74234-74245 (2021)

Predmety: random infection, inference algorithm, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, source estimation, Cascade infection, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09433534.pdf
https://doaj.org/article/1286ccc00c024cd5bba2739b52245034

Detection Method for Inter-Turn Short Circuit Faults in Dry-Type Transformers Based on an Improved YOLOv8 Infrared Image Slicing-Aided Hyper-Inference Algorithm

Autori: Zhaochuang Zhang Jianhua Xia Yuchuan Wen a ďalší

Zdroj: Energies, Vol 17, Iss 18, p 4559 (2024)

Predmety: dynamic snake convolution, YOLOv8, slicing-aided hyper-inference algorithm, infrared image, inter-turn short circuit fault, Technology

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/18/4559; https://doaj.org/toc/1996-1073

Prístupová URL adresa: https://doaj.org/article/f10e5239e0194c298917d37b296ac29c

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

Autori: James Jin Kang Wencheng Yang Gordana Dermody a ďalší

Zdroj: IEEE Access, Vol 8, Pp 201498-201515 (2020)

Predmety: military mobile (health) network, Computer Sciences, 02 engineering and technology, Defense and Security Studies, emergency alarm notification, Social and Behavioral Sciences, TK1-9971, 3. Good health, multilayer inference system (MIS), low power wide area network (LPWAN), Public Policy and Public Administration, Public Affairs, Physical Sciences and Mathematics, 0202 electrical engineering, electronic engineering, information engineering, wireless body area network (WBAN), Electrical engineering. Electronics. Nuclear engineering, Multilayer inference algorithm (MIA), mobile health (mHealth)

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/c112824fe1ae40e9942e4ad351715920
https://ro.ecu.edu.au/cgi/viewcontent.cgi?article=10222&context=ecuworkspost2013
https://dblp.uni-trier.de/db/journals/access/access8.html#KangYDGAH20
https://ieeexplore.ieee.org/document/9247977
https://ro.ecu.edu.au/ecuworkspost2013/9216/
https://doi.org/10.1109/ACCESS.2020.3035812
http://dro.deakin.edu.au/view/DU:30145911

Application of Survival Tree Model in Determining Affecting Factors in Breastfeeding Duration

Autori: Amene Sadat Sheykholeslami Nasser Behnampour Reza Ali Mohammadpour a ďalší

Zdroj: علوم بهداشتی ایران, Vol 9, Iss 2, Pp 9-17 (2021)

Predmety: survival tree, conditional inference algorithm, homogeneous subgroups, duration of breastfeeding, Medicine (General), R5-920

Popis súboru: electronic resource

Relation: http://jhs.mazums.ac.ir/article-1-731-en.html; https://doaj.org/toc/2322-553X; https://doaj.org/toc/2322-4797

Prístupová URL adresa: https://doaj.org/article/d2a9cee382674296a1ebef86054ea251

Limits and performances of algorithms based on simulated annealing in solving sparse hard inference problems

Autori: Angelini, Maria Chiara Ricci-Tersenghi, Federico

Prispievatelia: Angelini, Maria Chiara Ricci-Tersenghi, Federico

Predmety: inference algorithm, simulated annealing, replicated algorithm, recovery threshold

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000976433800001; volume:13; issue:2; firstpage:1; lastpage:21; numberofpages:21; journal:PHYSICAL REVIEW. X; https://hdl.handle.net/11573/1678759

Dostupnosť: https://hdl.handle.net/11573/1678759
https://doi.org/10.1103/PhysRevX.13.021011

A novel fault detection and diagnostic Petri net methodology for dynamic systems

Autori: Badmus, Taofeeq Alabi Remenyte-Prescott, Rasa Prescott, Darren

Predmety: Petri net, Bayesian network, fault diagnosis, dynamic system, inference algorithm

Relation: https://nottingham-repository.worktribe.com/output/26535066; Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability; Volume 239; Issue 1; Pagination 136 - 161

Dostupnosť: https://doi.org/10.1177/1748006x231212539
https://nottingham-repository.worktribe.com/file/26535066/1/JRR%20Paper%20Complete%20201023%20JRR-23-0021.R1%20Final%20Version
https://nottingham-repository.worktribe.com/output/26535066

A methodology for defect detection in analog circuits based on causal feature selection

Autori: Leger, Gildas Gines Arteaga, Antonio Jose Gutierrez, Valentin a ďalší

Prispievatelia: Leger, Gildas Gines Arteaga, Antonio Jose Gutierrez, Valentin a ďalší

Zdroj: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
29th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2022)
https://hal.science/hal-04023648
29th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2022), Oct 2022, Glasgow, United Kingdom. ⟨10.1109/ICECS202256217.2022.9970932⟩
IEEELink

Predmety: degradation, design methodology, feature extraction, filtering algorithm, inference algorithm, measurement, reliability, PACS 85.42, [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics

Geografické téma: Glasgow, United Kingdom

Dostupnosť: https://hal.science/hal-04023648
https://hal.science/hal-04023648v1/document
https://hal.science/hal-04023648v1/file/2022-ICECS22.pdf
https://doi.org/10.1109/ICECS202256217.2022.9970932

Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data

Autori: Burrello A. Jahier Pagliari D. Bianco M. a ďalší

Prispievatelia: Burrello A. Jahier Pagliari D. Bianco M. a ďalší

Predmety: Heart rate, Training, Tracking, Wearable computer, Neural network, Inference algorithm, Complexity theory

Popis súboru: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-6917-3; ispartofbook:Titolo volume non avvalorato; 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS); firstpage:153; lastpage:157; numberofpages:5; serie:BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE; info:eu-repo/grantAgreement/EC/H2020/corda__h2020::49f50c800ad55c37e17e6a5b6578e5cb; https://hdl.handle.net/11583/2974497; https://ieeexplore.ieee.org/abstract/document/9948584

Dostupnosť: https://hdl.handle.net/11583/2974497
https://doi.org/10.1109/BioCAS54905.2022.9948584
https://ieeexplore.ieee.org/abstract/document/9948584

Increasing State Estimation Accuracy in the Inference Algorithm on a Hybrid Factor Graph Model

Autori: Mareike Stender Mattis Hartwig Tanya Braun a ďalší

Zdroj: Proceedings of the International Florida Artificial Intelligence Research Society Conference, Vol 35 (2022)

Predmety: switching linear dynamical systems, hybrid factor graphs, inference algorithm, message passing, state estimation, gaussian mixture reduction, probabilistic graphical models, Technology, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://journals.flvc.org/FLAIRS/article/view/130682; https://doaj.org/toc/2334-0754; https://doaj.org/toc/2334-0762

Prístupová URL adresa: https://doaj.org/article/253fb9f0ad134a5b8abd4c2007e518dc

Enhanced Heart Rate Prediction Model Using Damped Least-Squares Algorithm

Autori: A An M Al-Fawa’reh James Kang

Predmety: Ecology, Analytical chemistry, Engineering, Electrical engineering, Electronics, sensors and digital hardware, Environmental sciences, Environmental management, Distributed computing and systems software, inference algorithm, data accuracy, data efficiency, healthcare, damped least-squares algorithm (DLSA), machine learning, neural networks, training algorithm

Relation: 10779/rmit.28232969.v1

Dostupnosť: https://figshare.com/articles/journal_contribution/Enhanced_Heart_Rate_Prediction_Model_Using_Damped_Least-Squares_Algorithm/28232969

Enhanced heart rate prediction model using damped least-squares algorithm

Autori: An, Angela Al-Fawa’reh, Mohammad Kang, James Jin

Zdroj: Research outputs 2022 to 2026

Predmety: [RSTDPub], damped least-squares algorithm (DLSA), data accuracy, data efficiency, healthcare, inference algorithm, machine learning, neural networks, training algorithm, Computer Sciences, Physical Sciences and Mathematics

Popis súboru: application/pdf

Dostupnosť: https://ro.ecu.edu.au/ecuworks2022-2026/1808
https://doi.org/10.3390/s22249679
https://ro.ecu.edu.au/context/ecuworks2022-2026/article/2808/viewcontent/Enhanced_20heart_20rate_20prediction_20model_20using.pdf

mPrivacy: A Privacy Policy Engine and Safeguard Mechanism in Mobile Devices

Autori: Zhong Zhang Minho Shin

Zdroj: Applied Sciences, Vol 11, Iss 11629, p 11629 (2021)

Predmety: mobile privacy, privacy protection mechanism, information escalation, inference algorithm, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/11/24/11629; https://doaj.org/toc/2076-3417; https://doaj.org/article/37decd6eff50429d9cf464aade556f3e

Dostupnosť: https://doi.org/10.3390/app112411629
https://doaj.org/article/37decd6eff50429d9cf464aade556f3e