Nature Inspired Computing for Data Science - Studies in Computational Intelligence
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 12)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030338190, 9783030338206

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Correction to: Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_12 ◽

2020 ◽

pp. C1-C1

Author(s):

Minakhi Rout ◽

Jitendra Kumar Rout ◽

Himansu Das

Keyword(s):

Data Science ◽

Nature Inspired Computing

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Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas—A Case Study in San Miguelito, Honduras

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_7 ◽

2019 ◽

pp. 169-200

Author(s):

A. Tapia ◽

D. G. Reina ◽

A. R. del Nozal ◽

P. Millán

Keyword(s):

Genetic Algorithms ◽

Power Plants ◽

Hydro Power ◽

Hydro Power Plants

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Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_5 ◽

2019 ◽

pp. 109-138 ◽

Cited By ~ 3

Author(s):

Hiram Ponce ◽

Guillermo González-Mora ◽

Elizabeth Morales-Olvera ◽

Paulo Souza

Keyword(s):

Supervised Learning ◽

High Dimensional Data ◽

High Dimensional ◽

Nature Inspired Computing

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An Evolutionary Algorithm Based Hybrid Parallel Framework for Asia Foreign Exchange Rate Prediction

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_11 ◽

2019 ◽

pp. 279-295 ◽

Cited By ~ 1

Author(s):

Minakhi Rout ◽

Koffi Mawuna Koudjonou

Keyword(s):

Exchange Rate ◽

Evolutionary Algorithm ◽

Foreign Exchange ◽

Foreign Exchange Rate ◽

Rate Prediction ◽

Exchange Rate Prediction

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Optimization of Performance Parameter for Vehicular Ad-hoc NETwork (VANET) Using Swarm Intelligence

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_4 ◽

2019 ◽

pp. 83-107 ◽

Cited By ~ 1

Author(s):

Biswa Ranjan Senapati ◽

Pabitra Mohan Khilar

Keyword(s):

Swarm Intelligence ◽

Ad Hoc Network ◽

Ad Hoc ◽

Vehicular Ad Hoc Network ◽

Performance Parameter

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Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_10 ◽

2019 ◽

pp. 241-277 ◽

Cited By ~ 1

Author(s):

Lokeswari Venkataramana ◽

Shomona Gracia Jacob ◽

Saraswathi Shanmuganathan ◽

Venkata Vara Prasad Dattuluri

Keyword(s):

Gene Expression ◽

Gene Expression Data ◽

Gene Selection ◽

Computational Study ◽

Expression Data

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An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO Based Optimized Neural Network

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_1 ◽

2019 ◽

pp. 1-28 ◽

Cited By ~ 1

Author(s):

Shamim Ripon ◽

Md. Golam Sarowar ◽

Fahima Qasim ◽

Shamse Tasnim Cynthia

Keyword(s):

Neural Network ◽

Tuberous Sclerosis

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Mid-Term Home Health Care Planning Problem with Flexible Departing Way for Caregivers

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_2 ◽

2019 ◽

pp. 29-56

Author(s):

Wenheng Liu ◽

Mahjoub Dridi ◽

Hongying Fei ◽

Amir Hajjam El Hassani

Keyword(s):

Health Care ◽

Home Health Care ◽

Home Health ◽

Planning Problem ◽

Care Planning ◽

Health Care Planning

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Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-objective Particle Swarm Optimization

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_9 ◽

2019 ◽

pp. 213-239 ◽

Cited By ~ 1

Author(s):

Rohit Gavval ◽

Vadlamani Ravi

Keyword(s):

Social Media ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Customer Complaints ◽

Multi Objective

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Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making

Nature Inspired Computing for Data Science - Studies in Computational Intelligence ◽

10.1007/978-3-030-33820-6_8 ◽

2019 ◽

pp. 201-212 ◽

Cited By ~ 8

Author(s):

Abhaya Kumar Sahoo ◽

Chittaranjan Pradhan ◽

Himansu Das

Keyword(s):

Neural Network ◽

Machine Learning ◽

Decision Making ◽

Performance Evaluation ◽

Deep Learning ◽

Convolutional Neural Network ◽

Learning Methods ◽

Health Decision Making ◽

Machine Learning Methods ◽

Health Decision

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Nature Inspired Computing for Data Science - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Nature Inspired Computing for Data Science

Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas—A Case Study in San Miguelito, Honduras

Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data

An Evolutionary Algorithm Based Hybrid Parallel Framework for Asia Foreign Exchange Rate Prediction

Optimization of Performance Parameter for Vehicular Ad-hoc NETwork (VANET) Using Swarm Intelligence

Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study

An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO Based Optimized Neural Network

Mid-Term Home Health Care Planning Problem with Flexible Departing Way for Caregivers

Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-objective Particle Swarm Optimization

Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making

Nature Inspired Computing for Data Science - Studies in Computational Intelligence
Latest Publications