Výsledky vyhľadávania - "Spatial Data Mining and Cloud Model Applications"

A New Replacement Model under Trapezoidal Fuzzy Number Environment

Autori: M. Balaganesan M. E. G. Krishnaveni

Zdroj: مجلة بغداد للعلوم, Vol 21, Iss 11 (2024)

Predmety: FOS: Computer and information sciences, Artificial intelligence, Data Processing, Science, Cloud Model, Computer science, Machine Learning, Fuzzy logic, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, FOS: Mathematics, Comprehensive Survey of Big Data Mining Approaches, Spatial Data Mining, Mathematics, Fuzzy Number, Fuzzy replacement model, Midpoint of fuzzy number, Operations on fuzzy numbers, Ranking of fuzzy numbers, Width of fuzzy number, Information Systems, Fuzzy Neural Network

Prístupová URL adresa: https://doaj.org/article/41658a59ed104a20b4dc53e07fec72fe

Spatial Information-Aware Flight Safety Forecasting Model for Unmanned Aerial Vehicles Based on Deep Learning and Grey Analysis

Autori: Mingbo Pan Yi‐Kai Wang Weibin Su a ďalší

Zdroj: IEEE Access, Vol 12, Pp 70729-70741 (2024)

Predmety: FOS: Computer and information sciences, Artificial intelligence, Deep learning, Aeronautics, 16. Peace & justice, Computer science, TK1-9971, spatial databases, Engineering, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, Spatial Data Mining, Computer vision, Electrical engineering. Electronics. Nuclear engineering, unmanned aerial vehicles, aerospace safety, Information Systems

Prístupová URL adresa: https://doaj.org/article/2e4f09a3680441a39eff328c9c3e4e28

An Algorithm for Complex Multi-criterion Decision-making Problem Solution

Autori: Mohamed Shawqi

Zdroj: Journal of Management World. 2023:32-43

Predmety: FOS: Computer and information sciences, Algorithm, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, Mathematical optimization, FOS: Mathematics, Process Neural Networks, Computer science, Mathematics, Information Systems

CANFIS: A Chaos Adaptive Neural Fuzzy Inference System for Workload Prediction in the Cloud

Autori: Zohra Amekraz Youssef Hadi

Zdroj: IEEE Access, Vol 10, Pp 49808-49828 (2022)

Predmety: FOS: Computer and information sciences, Artificial neural network, Adaptive neuro-fuzzy inference system, Artificial intelligence, Time series, chaos analysis, Chaotic, Workload, 02 engineering and technology, Cloud Computing and Big Data Technologies, Adaptive neuro fuzzy inference system, 7. Clean energy, Filter (signal processing), Engineering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, cloud application workloads, Data mining, Fuzzy Neural Network, Autoregressive integrated moving average, Traffic Flow Prediction and Forecasting, Building and Construction, workload prediction, Computer science, TK1-9971, Fuzzy logic, Operating system, proactive technique, Fuzzy control system, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Short-Term Forecasting, Information Systems

Prístupová URL adresa: https://doaj.org/article/71e575e8da874ff79c3ae7cf953dca91

RESEARCH AND DESIGN OF INSPECTION CLOUD PLATFORM FRAMEWORK FOR SURVEYING AND MAPPING PRODUCTS

Autori: Han Y. H. Chen Z. Li L. B. Zhang

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W10, Pp 57-61 (2020)

Predmety: FOS: Computer and information sciences, 0301 basic medicine, Technology, Cloud Model, Epistemology, Systems engineering, Database, 03 medical and health sciences, Engineering, Cloud computing, Applied optics. Photonics, Data mining, 0303 health sciences, Software engineering, Engineering (General). Civil engineering (General), Computer science, TA1501-1820, FOS: Philosophy, ethics and religion, Operating system, Philosophy, Spatial Data Mining and Cloud Model Applications, Code refactoring, Computer Science, Physical Sciences, Quality (philosophy), TA1-2040, Software, Information Systems

Popis súboru: application/pdf

Prístupová URL adresa: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/57/2020/isprs-archives-XLII-3-W10-57-2020.pdf
https://isprs-archives.copernicus.org/articles/XLII-3-W10/57/2020/
https://doaj.org/article/dca24a7f86d049989079cb150fd3533d
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/57/2020/
https://ui.adsabs.harvard.edu/abs/2020ISPAr4210...57Z/abstract
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/57/2020/isprs-archives-XLII-3-W10-57-2020.pdf

Fault Diagnosis of Motor Bearing Based on Current Bi-Spectrum and Convolutional Neural Network

Autori: Jun Ma Lingli Jiang S.M. Li a ďalší

Zdroj: Latin American Journal of Solids and Structures, Volume: 20, Issue: 5, Article number: e488, Published: 26 JUN 2023

Predmety: FOS: Computer and information sciences, Artificial neural network, Artificial intelligence, convolutional neural network, Convolutional neural network, Pattern recognition (psychology), Quantum mechanics, Fault (geology), Engineering, Current (fluid), Spectrum (functional analysis), Materials Engineering in Industrial Applications, Seismology, bi-spectrum, Physics, Bearing (navigation), Geology, FOS: Earth and related environmental sciences, fault diagnosis, current, Computer science, Control and Systems Engineering, Mechanics of Materials, motor bearing, Spatial Data Mining and Cloud Model Applications, Electrical engineering, Computer Science, Physical Sciences, Intelligent Control System for Industrial Processes, Information Systems

Popis súboru: text/html

Prístupová URL adresa: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252023000500501&lng=en&tlng=en

Risk identification of coal spontaneous combustion based on COWA modified G1 combination weighting cloud model

Autori: Guorui Su Bo Jia Peng Wang a ďalší

Zdroj: Sci Rep
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)

Predmety: FOS: Computer and information sciences, Coal Permeability, Spontaneous combustion, Science, 0211 other engineering and technologies, Coalbed Methane Recovery and Utilization Practices, Combustion, Organic chemistry, Ocean Engineering, 02 engineering and technology, Weighting, 7. Clean energy, Article, Environmental science, FOS: Economics and business, Engineering, FOS: Mathematics, Cloud computing, Econometrics, Safety, Risk, Reliability and Quality, Waste management, Coal mining, Computer science, Chemistry, Operating system, Coal, Spatial Data Mining and Cloud Model Applications, Mining Technology and Safety Measures, Computer Science, Physical Sciences, Medicine, Radiology, Mathematics, Information Systems

Prístupová URL adresa: https://www.nature.com/articles/s41598-022-06972-4.pdf
https://pubmed.ncbi.nlm.nih.gov/35194123
https://doaj.org/article/f05952dbc29e4e919c481bd01991572f

A Theorem on Binomial Series

Autori: Chinnaraji Annamalai

Zdroj: SSRN Electronic Journal.

Predmety: FOS: Computer and information sciences, Virtual Reality Simulation, Trajectory Data Mining and Analysis, FOS: Economics and business, Artificial Intelligence, Series (stratigraphy), FOS: Mathematics, Econometrics, Biology, Mathematical economics, FOS: Clinical medicine, Statistics, Paleontology, Discrete mathematics, Applied mathematics, Computer science, Artificial Intelligence and Expert Systems, Binomial (polynomial), computation, binomial coefficient, binomial series, combinatorics, Spatial Data Mining and Cloud Model Applications, Dentistry, Computer Science, Physical Sciences, Signal Processing, Binomial theorem, Binomial coefficient, Medicine, Calculus (dental), Mathematics, Information Systems

Using Edge Computing Technology in Programmable Logic Controller to Realize the Intelligent System of Industrial Safety and Fire Protection

Autori: L.T. Su Yang-Han Lee Yilun Chen a ďalší

Zdroj: Sensors and Materials. 35:1731

Predmety: FOS: Computer and information sciences, Artificial intelligence, Design and Application of Intelligent Monitoring Systems, Industrial control system, Control (management), 7. Clean energy, PID Controller, Engineering, Programmable logic device, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Embedded system, Smart Grid Technology and Applications, Biology, Programmable logic controller, Controller (irrigation), Computer hardware, Computer science, Agronomy, Intelligent Control, Enhanced Data Rates for GSM Evolution, Operating system, Control and Systems Engineering, 13. Climate action, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, Information Systems

Study on the Theory and Practice of Data Visualization

Autori: Qingxiang Wu Xiaochen Li Danqiong Wang a ďalší

Prispievatelia: Qingxiang Wu Xiaochen Li Danqiong Wang a ďalší

Zdroj: IFIP Advances in Information and Communication Technology ISBN: 9783030061548

Predmety: FOS: Computer and information sciences, Graph Visualization, Vision, [INFO] Computer Science [cs], RS, Data science, 12. Responsible consumption, Computer graphics, Engineering, Information visualization, Information Visualization, Vision perception, Psychology, Data mining, Visualization, Agricultural planning, Scientific visualization, 2. Zero hunger, Human–computer interaction, Data visualization, Computer graphics (images), 9. Industry and infrastructure, 4. Education, Visual analytics, Interactive Visualization, 15. Life on land, GIS, Simulation and Optimization of Industrial Processes, Computer science, Sense organ, Information Visualization and Visual Data Mining, Control and Systems Engineering, Spatial Data Mining and Cloud Model Applications, Visual Analytics, Computer Science, Physical Sciences, Image, Graphics, Computer Vision and Pattern Recognition, Visual Representation, 3D, Information Systems

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.inria.fr/hal-02179978/file/478221_1_En_1_Chapter.pdf
https://dblp.uni-trier.de/db/conf/ifip12/ccta2016.html#WuLWJH16
https://hal.inria.fr/hal-02179978/document
https://rd.springer.com/chapter/10.1007/978-3-030-06155-5_1
https://link.springer.com/chapter/10.1007%2F978-3-030-06155-5_1
https://doi.org/10.1007/978-3-030-06155-5_1
https://hal.inria.fr/hal-02179978

Data-driven traffic incident detection in urban roads based on machine learning algorithms

Autori: Meryem Ayou Youssef Trardi Chakir Loqman a ďalší

Zdroj: E3S Web of Conferences, Vol 469, p 00102 (2023)

Predmety: FOS: Computer and information sciences, Artificial intelligence, Support vector machine, Clustering of Time Series Data and Algorithms, 7. Clean energy, Intelligent Transportation Systems, Engineering, Real-Time Seismology, Machine learning, 11. Sustainability, GE1-350, Data mining, Urban Traffic, Warning system, Traffic Flow Prediction and Forecasting, Building and Construction, Transport engineering, 15. Life on land, Computer science, Environmental sciences, Algorithm, Operating system, 13. Climate action, Spatial Data Mining and Cloud Model Applications, Physical Sciences, Computer Science, Signal Processing, Telecommunications, Traffic Flow, Short-Term Forecasting, Traffic congestion, Software, Information Systems, Random forest

Prístupová URL adresa: https://doaj.org/article/155a910278054ab8aacdf35f7279d75b

A Clustering-Based Evidence Reasoning Method: CLUSTERING-BASED EVIDENCE REASONING METHOD

Autori: Xinde Li Fengyu Wang

Zdroj: International Journal of Intelligent Systems. 31:698-721

Predmety: FOS: Computer and information sciences, Artificial intelligence, Natural language processing, 4. Education, 02 engineering and technology, Dempster–Shafer theory, Computer science, Cluster analysis, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, 0202 electrical engineering, electronic engineering, information engineering, Data Analysis Techniques Algorithm, Process Neural Networks, Information Systems

Prístupová URL adresa: https://zenodo.org/record/232943/files/AClusteringBasedEvidenceReasoning.pdf
https://core.ac.uk/display/144597087
https://doi.org/10.1002/int.21800
https://vixra.org/pdf/1701.0066v1.pdf
https://dblp.uni-trier.de/db/journals/ijis/ijis31.html#LiW16
https://onlinelibrary.wiley.com/doi/full/10.1002/int.21800

Improving the muscular imbalance of penalty corner players of hockey

Autori: Ahmed Amin Ahmed Elshafei Mohammed Talaat Abu Elmaatei

Zdroj: Assiut Journal of Sport Science and Arts. 215:589-602

Predmety: Artificial Intelligence in Education and Technology, FOS: Computer and information sciences, FOS: Psychology, Physical medicine and rehabilitation, Artificial Intelligence, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, Psychology, Medicine, 16. Peace & justice, Information Systems

Prístupová URL adresa: http://ajssa.journals.ekb.eg/article_70823_4540b6b589e35b5db1c779e46cffd176.pdf
https://ajssa.journals.ekb.eg/article_70823.html
http://ajssa.journals.ekb.eg/article_70823_4540b6b589e35b5db1c779e46cffd176.pdf
https://ajssa.journals.ekb.eg/article_70823_4540b6b589e35b5db1c779e46cffd176.pdf

STUDY EFFECT OF LIGHTNING ARRESTERS IN TRANSFORMER PROTECTION, ACCOUNTING INFLUENTIAL FACTORS

Autori: Ánh Huy Quyền Thanh Phan Nguyen Ngoc Au Nguyen a ďalší

Zdroj: Science and Technology Development Journal. 12:59-66

Predmety: FOS: Computer and information sciences, Transformer, Surge arrester, Ecological Modeling, Lightning arrester, Bushing, Structural engineering, Astronomy and Astrophysics, Voltage, Distribution transformer, Fuzzy Class Membership Modeling in Environmental Sciences, 7. Clean energy, Lightning, Engineering, Physics and Astronomy, 13. Climate action, Global Lightning Distribution and Physics, Spatial Data Mining and Cloud Model Applications, Electrical engineering, Physical Sciences, Computer Science, Environmental Science, Information Systems

Prístupová URL adresa: http://stdj.scienceandtechnology.com.vn/index.php/stdj/article/download/2275/2624

AHP Modelling and Sensitivity Analysis for Evaluating the Criticality of Software Programs

Autori: André Felipe Henriques Librantz Fábio Cosme Rodrigues dos Santos Cleber Gustavo Dias a ďalší

Zdroj: IFIP Advances in Information and Communication Technology ISBN: 9783319511320

Predmety: FOS: Computer and information sciences, Economics, Network Security Evaluation, Nuclear physics, Operations research, Reliability engineering, Engineering, Hierarchy, Market economy, Machine learning, Risk analysis (engineering), Safety, Risk, Reliability and Quality, Comprehensive Assessment of Safety in Energy and Infrastructure, Data mining, Criticality, Analytic hierarchy process, Risk Evaluation, Electronic engineering, Physics, Ranking (information retrieval), 16. Peace & justice, Computer science, Sensitivity (control systems), Process (computing), Programming language, Sensitivity Analysis, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, Medicine, Software Reliability Modeling, Software Reliability Assessment and Prediction, Software, Information Systems

Prístupová URL adresa: https://hal.inria.fr/hal-01615750/file/434863_1_En_30_Chapter.pdf
https://rd.springer.com/chapter/10.1007/978-3-319-51133-7_30
https://link.springer.com/chapter/10.1007%2F978-3-319-51133-7_30
https://dblp.uni-trier.de/db/conf/ifip5-7/apms2016.html#LibrantzSDCCS16

A Novel Cause-Effect Variable Analysis in Enterprise Architecture by Fuzzy Logic Techniques

Autori: Clemente Rubio-Manzano Juan Carlos Dı́az Daniel Alfonso-Robaina a ďalší

Prispievatelia: Clemente Rubio-Manzano Juan Carlos Dı́az Daniel Alfonso-Robaina a ďalší

Zdroj: International Journal of Computational Intelligence Systems Vol. 13(1), 2020, pp. 511–523
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
instname
Universidad de Cádiz
RODIN: Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
International Journal of Computational Intelligence Systems, Vol 13, Iss 1 (2020)

Predmety: FOS: Computer and information sciences, Fuzzy sets, Artificial intelligence, 02 engineering and technology, Mathematical analysis, Visual arts, Engineering, Architecture, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Safety, Risk, Reliability and Quality, Variable (mathematics), Comprehensive Assessment of Safety in Energy and Infrastructure, Fuzzy relation equations, Fuzzy Neural Network, Risk Evaluation, Enterprise architecture, Fuzzy Method, QA75.5-76.95, Computer science, Fuzzy logic, Formal analysis of rules, Electronic computers. Computer science, Spatial Data Mining and Cloud Model Applications, Physical Sciences, Computer Science, FOS: Civil engineering, Mathematics, Art, Decision-making, Information Systems

Popis súboru: application/pdf

Prístupová URL adresa: https://www.atlantis-press.com/article/125939412.pdf
http://hdl.handle.net/10498/23834
https://doaj.org/article/b5c1c8bc7de24149b6672e639805de5f
https://rodin.uca.es/xmlui/handle/10498/23834
https://www.atlantis-press.com/journals/ijcis/125939412/view
https://dblp.uni-trier.de/db/journals/ijcisys/ijcisys13.html#Rubio-ManzanoDR20

A Comparative study about Workload prediction from one time forecast with cyclic forecasts using ARIMA model for cloud environment

Autori: Sathiyamoorthy E Yuvha R

Zdroj: EAI Endorsed Transactions on Energy Web, Vol 7, Iss 29 (2020)

Predmety: FOS: Computer and information sciences, Environmental Engineering, Time series, Provisioning, Science, Geometry, Workload, Operations research, Scaling, Low-Cost Air Quality Monitoring Systems, Engineering, Machine learning, QA1-939, FOS: Mathematics, cloud, Cloud computing, Autoregressive integrated moving average, Computer network, FOS: Environmental engineering, QA75.5-76.95, Traffic Flow Prediction and Forecasting, Building and Construction, workload prediction, Computer science, Distributed computing, Operating system, 13. Climate action, Electronic computers. Computer science, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, Environmental Science, auto scaling, time series, environment, Mathematics, energy, Information Systems, Forecasting

Prístupová URL adresa: http://eudl.eu/pdf/10.4108/eai.13-7-2018.163977
https://doaj.org/article/2c8f3da3e88143f081815abb92585535
https://eprints.eudl.eu/id/eprint/369/
https://dblp.uni-trier.de/db/journals/ew/ew7.html#RS20
https://doi.org/10.4108/eai.13-7-2018.163977
https://eudl.eu/doi/10.4108/eai.13-7-2018.163977

Multiple Criteria Human Performance Evaluation Using Choquet Integral

Autori: Tuncay Gürbüz

Zdroj: International Journal of Computational Intelligence Systems, Vol 3, Iss 3 (2010)

Predmety: FOS: Computer and information sciences, Artificial intelligence, Multi-criteria Decision Making (MCDM), Human Resources (HR), Network Security Evaluation, 0211 other engineering and technologies, Social Sciences, Business, Management and Accounting, Set (abstract data type), Group Decision Making, Epistemology, 02 engineering and technology, Multi-Criteria Decision Making, Management Science and Operations Research, Decision Sciences, Engineering, Management of Technology and Innovation, Quality Function Deployment in Product Development and Management, 0502 economics and business, FOS: Mathematics, Risk analysis (engineering), Business, Multi-criteria Decision Making, Objectivity (philosophy), Safety, Risk, Reliability and Quality, Comprehensive Assessment of Safety in Energy and Infrastructure, MCDM Methods, GIS-based Decision Analysis, Risk Evaluation, 05 social sciences, QA75.5-76.95, Subjectivity, Performance Evaluation (PE), Choquet Integral, MACBETH, Analytic Hierarchy Process, Applied mathematics, Computer science, Process (computing), FOS: Philosophy, ethics and religion, Programming language, Fuzzy logic, Philosophy, Operating system, Electronic computers. Computer science, Spatial Data Mining and Cloud Model Applications, Computer Science, Physical Sciences, Choquet integral, Mathematics, Information Systems

Prístupová URL adresa: https://download.atlantis-press.com/article/1975.pdf
https://doaj.org/article/a50187d551844f9eb57ec60c6950ed8a
https://avesis.gsu.edu.tr/publication/details/d94dc683-9ab4-4809-8bc4-e5424466fb47/oai

ON THE ESTIMATION AND PREDICTION IN MIXED LINEAR MODELS

Autori: Luis Fernando Echeverri López Antônio Francisco Iemma

Predmety: Spatial Shift-Share Analysis in Economic Development, FOS: Computer and information sciences, Economics and Econometrics, Economics, Linear model, Markov chain, Social Sciences, Lagrange multiplier, Quantum mechanics, Engineering, Predictive Model, Variance (accounting), Accounting, FOS: Mathematics, Business, Covariance, Generalized linear mixed model, 4. Education, Physics, Mathematical optimization, Statistics, 16. Peace & justice, Applied mathematics, Management, Economics, Econometrics and Finance, Control and Systems Engineering, Spatial Data Mining and Cloud Model Applications, Physical Sciences, Computer Science, Gauss, Intelligent Control System for Industrial Processes, Estimation, Mathematics, Information Systems