Mathematical Modelling and Computational Intelligence Techniques - P. Balasubramaniam

Mathematical Modelling and Computational Intelligence Techniques

ICMMCIT-2021, Gandhigram, India February 10–12

P. Balasubramaniam (Redaktør) ; Kuru Ratnavelu (Redaktør) ; Grienggrai Rajchakit (Redaktør) ; G. Nagamani (Redaktør)

This book collects papers presented at the International Conference on Mathematical Modelling and Computational Intelligence Techniques (ICMMCIT) 2021, held at the Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India, from 10-12 February 2021. Les mer
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This book collects papers presented at the International Conference on Mathematical Modelling and Computational Intelligence Techniques (ICMMCIT) 2021, held at the Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India, from 10-12 February 2021. Significant contributions from renowned researchers from fields of applied analysis, mathematical modelling and computing techniques have been received for this conference. Chapters emphasize on the research of computational nature focusing on new algorithms, their analysis and numerical results, as well as applications in physical, biological, social, and behavioural sciences. The accepted papers are organized in topical sections as mathematical modelling, image processing, control theory, graphs and networks, and inventory control.
Forlag: Springer Verlag, Singapore
Innbinding: Innbundet
Språk: Engelsk
Sider: 349
ISBN: 9789811660177
Format: 24 x 16 cm

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Ananya Dwivedi Vinod Baniya and Ram Keval: Application of Optimal Controls on Dengue Dynamics: A Mathematical Study.- Sandeep Sharma, Amit Sharma, and Fateh Singh: Did the COVID-19 Lockdown in India Succeed? A Mathematical Study.- Bhavyata Patel, Rhydham Karnik, and Dhanesh Patel: Tumour Growth and its Treatment Response Delineate with Mathematical Models.- Kuru Ratnavelu, Jia Hou Chin: A Computational Approach to the Three-body Coulomb Problem: Positron Scattering from Atomic Systems.- M. Sankara Narayanan and M. Marudai: Common Best Proximity Points for Some Contractive Type Mappings.- P. Kowsalya, R. Kaviya and P. Muthukumar: Dynamical Analysis of Conformable Fractional-Order Rosenzweig-MacArthur Prey-Predator System.- P. Balasubramaniam: Existence of Solution for a Class of ABC Fractional Evolution Inclusions with Non-Instantaneous Impulses.- Yeh Ching Low and Seng Huat ONG: Computation of Probabilities of Mixed Poisson Weibull Distribution.- Md Mustafa Kamal and Imtiaz Ashraf: Cost of Energy for Distributed Energy Resources based Power Generation in a Rural Microgrid: Impact of Controlling Parameters.- S.T. Padmapriya, T. Kalaiselvi and K. Somasundaram: Adaptive Learning Rate Based Convolutional Neural Network Models For Brain Tumor Images Classification.- S. Praveenkumar, K. Somasundaram, T. Kalaiselvi and S. Magesh: Extended Discrete Cosine Transform.- Mohd Fikree Hassan and Raveendran Paramesran: Image Reconstruction from Geometric Moments via Cascaded Digital Filters.- Dhamodharan S. and Shanmugavadivu Pichai: Background Preserved and Feature-Oriented Contrast Improvement Using Weighted Cumulative Distribution Function for Digital Mammograms.- N. Padmaja1 and P. Balasubramaniam: Finite-time Passification of Fractional-order Recurrent Neural Networks with Proportional Delay and Impulses: An LMI Approach.- J. Priyadharsini1 and P. Balasubramaniam: Stability Result for Hilfer Fractional Integrodifferential Stochastic Equations with Fractional Noises and Non-instantaneous Impulses.- B. Visakamoorthi and P. Muthukumar: Fuzzy Sampled-data Control for Single-master Multi-slave Teleoperation Systems with Stochastic Actuator Faults.- B. Adhira and G. Nagamani: Extended Dissipativity Performance for the Delayed Discrete-time Neural Networks with Observer-Based Control.- M. Shafiya and G. Nagamani: Synchronization of Delayed Fractional-order Memristive BAM Neural Networks.- V. Aparna and N. Mohanapriya: r-Dynamic Chromatic Number of Extended Neighborhood Corona of Complete Graph with Some Graphs.- G. Mahadevan, M. Vimala Suganthi and C. Sivagnanam: Corona Domination Number of Graphs.- Immanuel John Raja Jebadurai, Getzi Jeba Leelipushpam Paulraj, Jebaveerasingh Jebadurai and Nancy Emymal Samuel: An AHP Based Unmanned Aerial Vehicle Selection for Data Collection in Wireless Sensor Networks.- R. Pavithra and R. Rajkumar: On the Characteristic Polynomial of the Subdivision-vertex Join of Graphs.- G. Gold Belsi and S. Kavitha: Genus and Book Thickness of the Inclusion Ideal Graph of a Ring.- S. Angammal and G. Hannah Grace : A Comparison Between Fuzzy and Intuitionistic Fuzzy Optimization Technique for Profit and Production of Crops in Ariyalur District.- M. Priya and R. Uthayakumar: A Study on HB Theory in Product Intuitionistic Fuzzy Fractal Space.- S. Ganesan and R. Uthayakumar: An EOQ Inventory Model with Shortage Backorders and Incorporating a Learning Function in Fuzzy Parameters.
P. BALASUBRAMANIAM is Professor at the Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India, since 2006, where he joined as Lecturer in Mathematics in 1997. He earned his Ph.D. in Mathematics from Bharathiar University, Coimbatore, Tamil Nadu, India, in 1994, with specialization in control theory. He was Visiting Professor at the Institute of Mathematical Sciences, University of Malaya, Malaysia, from September 2011 to March 2012 and Pusan National University, Pusan, South Korea, for promoting research in the field of control theory and neural networks from 2001 to 2006. His research interest includes the areas of control theory, fractional differential equations, stochastic differential equations, soft computing, stability analysis, cryptography, neural networks, image processing, and reaction-diffusion equations. He received the Mid-Career Award by the University Grants Commission, the Government of India, New Delhi, in 2019, and is recognized among the top two-percent scientists in India in the field of artificial intelligence and image processing by Stanford University, USA, in 2020. KURUNATHAN RATNAVELU is Director at the Institute of Computer Science and Digital Innovations, UCSI University, Kuala Lumpur, Malaysia. Earlier, he served as Deputy Dean of Science and Deputy Vice-Chancellor (Development), as well as the Head of the UM Strategic Planning Unit under the Vice-Chancellor, in the University of Malaya. He played a key role in the High Impact Research Program at the University of Malaya. He received his Ph.D. in atomic physics from Flinders University, Australia, with a Flinders Research Scholarship in 1990. His recent international recognitions are Council Member of the Association of Asia-Pacific Physical Societies (2016-2019, 2020-2023). With more than 30 years of academic and research experience in Malaysia, Prof. Ratnavelu is the recipient of the 19th Fellow of Persatuan Sains Matematik Malaysia (2018); the Inaugural Distinguished Alumni Award by Flinders University for his contributions to atomic physics as well as education in Malaysia (2006); and the Malaysian Toray Science Foundation Science and Technology Award (2004). His professional contribution to Malaysia has been in the development of physics and mathematics in the country since the 1990's in his capacity as the Honorary Secretary of the Institut Fizik Malaysia (since 1996 until now) and Malaysian Mathematical Society (PERSAMA), respectively. His research interests are in theoretical atomic collision processes. GRIENGGRAI RAJCHAKIT is Lecturer at the Department of Mathematics, Faculty of Sciences, Maejo University, Chiangmai, Thailand. He completed his Ph.D. in Applied Mathematics from the King Mongkut's University of Technology Thonburi, Bangkok, Thailand, in the area of stability and control of neural networks. He is the recipient of the Thailand Frontier Author Award by Thomson Reuters Web of Science in 2016 and the TRF-OHEC-Scopus Researcher Awards by The Thailand Research Fund (TRF), Office of the Higher Education Commission (OHEC) and Scopus in 2016. His research interests include complex-valued neural networks, complex dynamical networks, control theory, stability analysis, sampled-data control, multi-agent systems, T-S fuzzy theory, and cryptography. A reviewer for various internal journals of repute, he has authored and co-authored more than 133 research articles for various international journals. G. NAGAMANI is Assistant Professor at the Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India, since November 2011. Earlier, she served as Lecturer in Mathematics at Mahendra Arts and Science College, Namakkal, Tamil Nadu, India, from 2001-2008. She completed her Ph.D. in Mathematical Sciences specializing in the area of passivity analysis of neural networks with time-varying delays from The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India, in 2011. She is the recipient of the Tamil Nadu Young Women Scientist Award (TYWSA), from the Tamil Nadu State Council for Science and Technology, in 2012, for her remarkable research contribution in the field of mathematical sciences. Her research interest includes modeling of stochastic differential equations, neural networks, dissipativity and passivity analysis and control theory.