Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics
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(FIVE YEARS 21)

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Published By Springer Singapore

9789811660177, 9789811660184

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Common Best Proximity Points for Some Contractive Type Mappings

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_5 ◽

2021 ◽

pp. 67-76

Author(s):

M. Sankara Narayanan ◽

M. Marudai

Keyword(s):

Best Proximity Points ◽

Contractive Type

Background Preserved and Feature-Oriented Contrast Improvement Using Weighted Cumulative Distribution Function for Digital Mammograms

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_12 ◽

2021 ◽

pp. 179-193

Author(s):

Senguttuvan Dhamodharan ◽

Shanmugavadivu Pichai

Keyword(s):

Distribution Function ◽

Cumulative Distribution Function ◽

Cumulative Distribution

Synchronization of Delayed Fractional-Order Memristive BAM Neural Networks

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_14 ◽

2021 ◽

pp. 215-231

Author(s):

M. Shafiya ◽

G. Nagamani

Keyword(s):

Neural Networks ◽

Fractional Order ◽

Bam Neural Networks

Adaptive Learning Rate-Based Convolutional Neural Network Models for Brain Tumor Images Classification

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_9 ◽

2021 ◽

pp. 135-146

Author(s):

Thiyagarajan Padmapriya ◽

Thiruvenkatam Kalaiselvi ◽

Karuppanagounder Somasundaram

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Convolutional Neural Network ◽

Adaptive Learning ◽

Network Models ◽

Learning Rate ◽

Neural Network Models ◽

Adaptive Learning Rate

Did the COVID-19 Lockdown in India Succeed? A Mathematical Study

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_2 ◽

2021 ◽

pp. 21-38

Author(s):

Sandeep Sharma ◽

Amit Sharma ◽

Fateh Singh

Keyword(s):

Mathematical Study

An EOQ Inventory Model with Shortage Backorders and Incorporating a Learning Function in Fuzzy Parameters

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_20 ◽

2021 ◽

pp. 309-331

Author(s):

S. Ganesan ◽

R. Uthayakumar

Keyword(s):

Inventory Model ◽

Learning Function ◽

Fuzzy Parameters

Genus and Book Thickness of the Inclusion Ideal Graph of a Ring

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_19 ◽

2021 ◽

pp. 295-305

Author(s):

G. Gold Belsi ◽

S. Kavitha

Application of Optimal Controls on Dengue Dynamics—A Mathematical Study

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_1 ◽

2021 ◽

pp. 3-19

Author(s):

Ananya Dwivedi ◽

Vinod Baniya ◽

Ram Keval

Keyword(s):

Optimal Controls ◽

Mathematical Study

Extended Discrete Cosine Transform

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_10 ◽

2021 ◽

pp. 147-161

Author(s):

S. Praveenkumar ◽

K. Somasundaram ◽

S. Magesh ◽

T. Kalaiselvi

Keyword(s):

Discrete Cosine Transform ◽

Cosine Transform

A Computational Approach to the Three-Body Coulomb Problem: Positron Scattering from Atomic Systems

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics ◽

10.1007/978-981-16-6018-4_4 ◽

2021 ◽

pp. 51-66

Author(s):

Kuru Ratnavelu ◽

Jia Hou Chin

Keyword(s):

Computational Approach ◽

Positron Scattering ◽

Atomic Systems ◽

Coulomb Problem ◽

Three Body

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

Common Best Proximity Points for Some Contractive Type Mappings

Background Preserved and Feature-Oriented Contrast Improvement Using Weighted Cumulative Distribution Function for Digital Mammograms

Synchronization of Delayed Fractional-Order Memristive BAM Neural Networks

Adaptive Learning Rate-Based Convolutional Neural Network Models for Brain Tumor Images Classification

Did the COVID-19 Lockdown in India Succeed? A Mathematical Study

An EOQ Inventory Model with Shortage Backorders and Incorporating a Learning Function in Fuzzy Parameters

Genus and Book Thickness of the Inclusion Ideal Graph of a Ring

Application of Optimal Controls on Dengue Dynamics—A Mathematical Study

Extended Discrete Cosine Transform

A Computational Approach to the Three-Body Coulomb Problem: Positron Scattering from Atomic Systems

Mathematical Modelling and Computational Intelligence Techniques - Springer Proceedings in Mathematics & Statistics
Latest Publications