Machine Learning and Mathematical Models in Evolutionary Biology
close menu
Bookswagon
search
My Account
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Mathematics and Science books > Biology, life sciences > Life sciences: general issues > Computational biology / bioinformatics > Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications(Computational Biology)
Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications(Computational Biology)

Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications(Computational Biology)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

The book discusses the advantages of using mathematical modeling and machine learning in the context of the evolutionary biology domain to gain knowledge and develop further. It discusses the background ideas regarding evolutionary theory, population behavior and computation, and advances to the current topics of evolutionary algorithms, nonlinear modeling, and data-driven analysis.

The volume proposes the application of theoretical models and clever algorithms to the analysis of complex biological systems, ecological interactions, and real-world problems in health, genomics, and engineering. Combining classical theories with some new computational tools, the book proves that machine learning is able to make predictions more accurate and reduce some parameters and process large amounts of data more efficiently in biological studies. It also covers disease modelling, genomic prediction, tumor growth and socio-environmental dynamics and is also interdisciplinary in exploring network systems and biomedical engineering. On the whole, the book offers an integrative and prospective view to scientists and professionals regarding the innovative aspects at the interplay of biology, mathematics, and artificial intelligence and highlights the future of evolutionary science and intelligent models.



Table of Contents:

.- Foundations of Evolutionary Biology and Computational Methods.
.- Fundamentals of Evolutionary Biology and Algorithms.
.- Machine Learning Basics for Biological Applications.
.- Mathematical Models in Evolutionary Dynamics.
.- Computational and Mathematical Approaches in Modern Evolutionary Biology.
.- Evolutionary Algorithms and Computational Intelligence.
.- Evolutionary Algorithms Inspired by Nature.
.- Adaptive Evolution and Environmental Interactions.
.- Mathematical Modeling of Population and Ecological Dynamics.
.- Nonlinear Attrition Dynamics with Stability Analysis for Military and Civilian Populations.
.- Two dimensional predator-prey system with smartest predators: The killer whales.
.- Effect of Population Growth Driven by Female Education: A Mathematical Study With Machine Learning.
.- The Code of Biodiversity: Computational Modeling of Speciation and Extinction Dynamics.
.- Mathematical Modeling in Biological and Evolutionary Systems.
.- Fixed Point Non-linear Differential Solution for a 3-Manifold Mathematical Diffusion Gene Network Analyzing Stability and Oscillatory Dynamics Using Phase Portraits.
.- High-Order Computational Modeling of Tumor Growth and Evolutionary Dynamics.
.- Machine Learning Applications in Health.
.- Evolutionary Pathways in Infectious Diseases.
.- Disease-Related Genomic Prediction via Machine Learning: New Data Augmentation with Hybrid GAN Models.
.- Machine Learning Assisted Mathematical Analysis of Smoking Dynamics based on WHO Dataset.
.- An Epidemiological Analysis of Traffic Rule Violations and Their Impact on Public Health.
.- Cross-Disciplinary Computational Applications and Future Perspectives.
.- Estimating Femoral Artery Hemodynamics Using a Hybrid CFD–Machine Learning Approach.
.- A Modeling Study on Virus Dynamics in a Computer Network.
.- Future Directions in Evolutionary Biology and Artificial Intelligence.



About the Author :
Dr. Satyvir Singh is currently working as a Research Associate Fellow in the Institute of Applied and Computational Mathematics (ACoM) at RWTH Aachen University, Germany. He earned his Ph.D. in Computational Fluid mechanics in the School of Mechanical and Aerospace Engineering at Gyeongsang National University, South Korea. Subsequently, He worked as a Senior Research Fellow at Research Center for Aircraft Parts Technology, Gyeongsang National University, South Korea in 2018. After then, Dr. Singh worked as a Research Fellow in School of Physical and Mathematical Sciences at Nanyang Technological University Singapore during 2018-2022. He completed Master Degree M.Tech. in Industrial Mathematics & Scientific Computing at Indian Institute of Technology Madras, India (QS ranking # 250), as well as Master Degree M.Sc. in Mathematics at CCS University Meerut, India. He qualified two highly competitive Indian examinations -Junior Research Fellowship and National Eligibility Test in Mathematical Sciences (2011) with All Indian Rank # 38, and Graduate Aptitude Test for Engineering in Mathematics (2012) with All Indian Rank - 244. Dr. Singh has a vast research area, including computational fluid dynamics, high order numerical methods, hydrodynamic instability, gas kinetic theory, heat and mass transfer, and computational biology. Dr. Mukesh Kumar Awasthi has done his Ph.D. on the topic "Viscous Correction for the Potential Flow Analysis of Capillary and Kelvin-Helmholtz instability". He is working as an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University, Lucknow. Dr. Awasthi is specialized in the mathematical modeling of flow problems. He has taught courses of Fluid Mechanics, Discrete Mathematics, Partial differential equations, Abstract Algebra, Mathematical Methods, and Measure theory to postgraduate students. He has acquired excellent knowledge in the mathematical modeling of flow problems and he can solve these problems analytically as well as numerically. He has a good grasp of the subjects like viscous potential flow, electro-hydrodynamics, magneto-hydrodynamics, heat, and mass transfer. He has excellent communication skills and leadership qualities. He is self-motivated and responds to suggestions in a more convincing manner. Dr. Awasthi has qualified National Eligibility Test (NET) conducted on all India level in the year 2008 by the Council of Scientific and Industrial Research (CSIR) and got Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) for doing research.


Best Sellers


Product Details
  • ISBN-13: 9783032258502
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • No of Pages: 358
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: Computational Biology
  • Width: 155 mm
  • ISBN-10: 3032258502
  • Publisher Date: 17 Aug 2026
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Sub Title: Insights, Innovations, and Applications


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications(Computational Biology)
Springer Nature Switzerland AG -
Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications(Computational Biology)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Machine Learning and Mathematical Models in Evolutionary Biology: Insights, Innovations, and Applications(Computational Biology)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!