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on1395946362 |
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OCoLC |
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20240909213021.0 |
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230902s2023 si o 101 0 eng d |
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|b eng
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|a 1396063796
|a 1396896992
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|a 9789819936113
|q (electronic bk.)
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|a 981993611X
|q (electronic bk.)
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|z 9819936101
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|z 9789819936106
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7 |
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|a 10.1007/978-981-99-3611-3
|2 doi
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| 035 |
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|a (OCoLC)1395946362
|z (OCoLC)1396063796
|z (OCoLC)1396896992
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|a QA401
|b .I59 2023
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|a HCDD
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|a International Conference on Mathematical Modeling and Computational Science
|n (3rd :
|d 2023 :
|c Madurai, India ; Online)
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| 245 |
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|a Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science :
|b ICMMCS 2023 /
|c Sheng-Lung Peng, Noor Zaman Jhanjhi, Souvik Pal, Fathi Amsaad, editors.
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3 |
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|a ICMMCS 2023
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|a Singapore :
|b Springer,
|c 2023.
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| 300 |
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|a 1 online resource
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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1 |
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|a Advances in intelligent systems and computing ;
|v v. 1450
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|a Intro -- Organizing Committee and Key Members -- Session Chair(s) -- Invited Speaker(s) -- Preface and Acknowledgment -- Contents -- About the Editors -- Neuro-Fuzzy Logic Application in Speech Recognition -- 1 Introduction -- 2 Literature Review -- 3 Basic Concepts -- 3.1 Artificial Neural Networks (ANNs) -- 3.2 Fuzzy Logic (FL) -- 3.3 Relation between Neural Network and Fuzzy Logic -- 3.4 Neuro-Fuzzy System (NFS) -- 3.5 Speech Recognition -- 4 Experimental Results -- 5 Conclusion -- References -- A Machine Learning Model for Predicting COVID-19 -- 1 Introduction -- 2 Methods
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| 505 |
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|a 2.1 Collecting Initial Data -- 2.2 Data Pre-processing -- 2.3 Data Exploratory -- 2.4 Selecting the Model Techniques -- 2.5 Building the Model -- 2.6 Test Design -- 2.7 Model Validation -- 2.8 Model Relevance -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Thyroid Disease Prediction Using a Novel Classification Enhancing MLP and Random Forest Algorithms -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Conclusion -- References -- YouTube Sentimental Analysis Using a Combined Approach of KNN and K-means Clustering Algorithm -- 1 Introduction -- 2 Related Works
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| 505 |
8 |
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|a 3 Proposed Method -- 4 Conclusion -- References -- Big Data Analytics: Hybrid Classification in Brain Images Using BSO and SVM -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Conclusion -- References -- Breast Cancer Detection Using Hybrid Segmentation Using FOA and FCM Clustering -- 1 Introduction -- 1.1 Gap Analysis -- 2 Related Works -- 3 Proposed Method -- 4 Conclusion -- References -- Hybrid Optimization Using CC and PSO in Cryptography Encryption for Medical Images -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Conclusion -- References
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| 505 |
8 |
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|a Boundary Element Method for Water Wave Interaction with Semicircular Porous Wave Barriers Placed over Stepped Seabed -- 1 Introduction -- 1.1 Objective -- 2 Mathematical Formulation -- 3 BEM-Based Solution Procedure -- 3.1 Energy Identity -- 4 Results and Discussions -- 5 Conclusions -- References -- Fostering STEM Education Competency for Elementary Education Students at Universities of Pedagogy in Vietnam -- 1 Introduction -- 2 Competence in STEM Education -- 3 Learning Characteristics of Students Majoring in Primary Education -- 4 Research Context -- 5 Research Methods -- 5.1 Respondents
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| 505 |
8 |
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|a 5.2 Survey Content -- 5.3 Survey Method -- 6 Research Results -- 6.1 Current Status of STEM Education Competency of 4th Year Students -- 6.2 Assessment of the Necessity of Fostering STEM Educational Competency for Students -- 6.3 The Current Situation of Assessment on the Method of Organizing STEM Education Competency Building for Students -- 7 Discussion -- 8 Conclusion -- References -- Blockchain Based E-Medical Data Storage for Privacy Protection -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Consensus Algorithms -- 3.2 Dataset
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| 520 |
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|a The volume is a collection of high-quality, peer-reviewed research papers presented at the Third International Conference on Mathematical Modeling and Computational Science (ICMMCS 2023), held during 24 25 February 2023 in hybrid mode. The topics covered in the book are mathematical logic and foundations, numerical analysis, neural networks, fuzzy set theory, coding theory, higher algebra, number theory, graph theory and combinatory, computation in complex networks, calculus, differential educations and integration, application of soft computing, knowledge engineering, machine learning, artificial intelligence, big data and data analytics, high performance computing, network and device security, Internet of Things (IoT).
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| 500 |
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|a Includes author index.
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| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed September 13, 2023).
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| 650 |
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|a Mathematical models
|v Congresses.
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| 650 |
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|a Computer science
|x Mathematics
|v Congresses.
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| 650 |
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7 |
|a Computer science
|x Mathematics
|2 fast
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| 650 |
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7 |
|a Mathematical models
|2 fast
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| 655 |
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|a Electronic books.
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| 655 |
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7 |
|a proceedings (reports)
|2 aat
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| 655 |
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7 |
|a Conference papers and proceedings
|2 fast
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| 655 |
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7 |
|a Conference papers and proceedings.
|2 lcgft
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| 655 |
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|a Actes de congrès.
|2 rvmgf
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| 700 |
1 |
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|a Peng, Sheng-Lung.
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| 700 |
1 |
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|a Zaman, Noor,
|d 1972-
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| 700 |
1 |
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|a Pal, Souvik.
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| 700 |
1 |
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|a Amsaad, Fathi.
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| 776 |
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|c Original
|z 9819936101
|z 9789819936106
|w (OCoLC)1378701696
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| 830 |
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0 |
|a Advances in intelligent systems and computing ;
|v 1450.
|
| 856 |
4 |
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|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-981-99-3611-3
|y Click for online access
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| 903 |
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|a SPRING-ALL2023
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| 994 |
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|a 92
|b HCD
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