Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 39)

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(FIVE YEARS 0)

Published By Springer International Publishing

9783030654061, 9783030654078

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

An Overview of Multicast Routing Algorithms in Network on Chip

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_14 ◽

2021 ◽

pp. 163-178

Author(s):

Sumitra Velayudham ◽

Sivakumar Rajagopal ◽

Swaminathan Kathirvel ◽

Basim Alhadidi

Keyword(s):

Multicast Routing ◽

Network On Chip ◽

Routing Algorithms ◽

On Chip

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Use of Artificial Neural Network to Predict the Yield of Sinter Plant as a Function of Production Parameters

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_2 ◽

2021 ◽

pp. 13-26

Author(s):

Arghya Majumder ◽

Chanchal Biswas ◽

Saugata Dhar ◽

Rajib Dey ◽

G. C. Das

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Sinter Plant ◽

Production Parameters ◽

Artificial Neural

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Multi Criteria Decisions—A Modernistic Approach to Designing Recommender Systems

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_20 ◽

2021 ◽

pp. 231-243

Author(s):

B. N. Nithya ◽

Manish Kumar

Keyword(s):

Recommender Systems

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Classification of Kannada Hand Written Alphabets Using Multi-class Support Vector Machine with Convolution Neural Networks

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_40 ◽

2021 ◽

pp. 455-463

Author(s):

Kusumika Krori Dutta ◽

Aniruddh Herle ◽

Lochan Appanna ◽

A. Tushar ◽

K. Tejaswini

Keyword(s):

Neural Networks ◽

Support Vector Machine ◽

Support Vector ◽

Convolution Neural Networks

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The Conceptual Framework for VR/AR Application in Mobile Learning Environment

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_18 ◽

2021 ◽

pp. 207-217

Author(s):

Nguyen Thi Linh Yen ◽

Ton Quang Cuong ◽

Le Thi Phuong ◽

Pham Kim Chung

Keyword(s):

Learning Environment ◽

Conceptual Framework ◽

Mobile Learning ◽

Mobile Learning Environment

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Fog Computing: State-of-Art, Open Issues, Challenges and Future Directions

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_27 ◽

2021 ◽

pp. 317-326

Author(s):

M. Sathish Kumar ◽

M. Iyapparaja

Keyword(s):

Fog Computing ◽

Future Directions ◽

State Of Art ◽

Open Issues

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Cuckoo Search Optimization Algorithm and Its Solicitations for Real World Applications

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_38 ◽

2021 ◽

pp. 435-445

Author(s):

M. Niranjanamurthy ◽

M. P. Amulya ◽

N. M. Niveditha ◽

Dharmendra Chahar

Keyword(s):

Optimization Algorithm ◽

Real World ◽

Cuckoo Search ◽

Search Optimization ◽

Real World Applications ◽

Cuckoo Search Optimization

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Role of M-CORD Computing Architecture for Over the Top (OTT) Services and Applications

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_7 ◽

2021 ◽

pp. 75-86

Author(s):

N. Senthil Kumar ◽

P. M. Durai Raj Vincent ◽

Kathiravan Srinivasan ◽

Sivakumar Rajagopal ◽

S. A. Angayarkanni ◽

...

Keyword(s):

Computing Architecture ◽

Over The Top

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Throat Microphone Speech Enhancement Using Machine Learning Technique

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_1 ◽

2021 ◽

pp. 1-11

Author(s):

Subrata Kumer Paul ◽

Rakhi Rani Paul ◽

Masafumi Nishimura ◽

Md. Ekramul Hamid

Keyword(s):

Machine Learning ◽

Speech Enhancement ◽

Machine Learning Technique ◽

Learning Technique

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An Adaptive Crack Identification Scheme Using Enhanced Segmentation and Feature Extraction for Electrical Discharge Machining of Inconel X750

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies ◽

10.1007/978-3-030-65407-8_10 ◽

2021 ◽

pp. 109-121

Author(s):

K. J. Sabareesaan ◽

J. Jaya ◽

Habeeb Al Ani ◽

R. Sivakumar ◽

Basim Alhadidi

Keyword(s):

Feature Extraction ◽

Electrical Discharge ◽

Electrical Discharge Machining ◽

Crack Identification ◽

Identification Scheme ◽

Inconel X750

Download Full-text

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge TechnologiesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

An Overview of Multicast Routing Algorithms in Network on Chip

Use of Artificial Neural Network to Predict the Yield of Sinter Plant as a Function of Production Parameters

Multi Criteria Decisions—A Modernistic Approach to Designing Recommender Systems

Classification of Kannada Hand Written Alphabets Using Multi-class Support Vector Machine with Convolution Neural Networks

The Conceptual Framework for VR/AR Application in Mobile Learning Environment

Fog Computing: State-of-Art, Open Issues, Challenges and Future Directions

Cuckoo Search Optimization Algorithm and Its Solicitations for Real World Applications

Role of M-CORD Computing Architecture for Over the Top (OTT) Services and Applications

Throat Microphone Speech Enhancement Using Machine Learning Technique

An Adaptive Crack Identification Scheme Using Enhanced Segmentation and Feature Extraction for Electrical Discharge Machining of Inconel X750

Learning and Analytics in Intelligent Systems - Intelligent Computing Paradigm and Cutting-edge Technologies
Latest Publications