Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг: Цена: 4890.00 р. 6986.00-30% Наличие на складе: Есть (1 шт.) Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015
Автор: Oscar Castillo; Patricia Melin; Witold Pedrycz; Ja Название: Recent Advances on Hybrid Approaches for Designing Intelligent Systems ISBN: 3319051695 ISBN-13(EAN): 9783319051697 Издательство: Springer Рейтинг: Цена: 30039.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems.
Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi Название: Foundations and Novel Approaches in Data Mining ISBN: 364206650X ISBN-13(EAN): 9783642066504 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research.
Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Susant Название: Hybrid Soft Computing Approaches ISBN: 8132225430 ISBN-13(EAN): 9788132225430 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hybrid Soft Computing Approaches
Автор: Punam K. Saha; Ujjwal Maulik; Subhadip Basu Название: Advanced Computational Approaches to Biomedical Engineering ISBN: 3662514559 ISBN-13(EAN): 9783662514559 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book surveys computational advances which applied to biomedical engineering have resulted in the development of new implants and prosthetics, new imaging technologies and new tools and techniques for detection, prevention and treatment of disease.
Описание: Face Recognition using Raspberry PI.- Features Extraction for Network Intrusion Detection using Genetic Algorithm(GA).- Chemical Sensing through Cogno-Monitoring System for Air Quality Evaluation.- 3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network.- Cognitive Demand Forecasting with Novel Features using Word2Vec and Session of the Day.- A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter.- Dexterous Trashbot.- Automated Question Generation and Answer Verification using Visual Data.- Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring.- Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester.- An Approach to End to End Anonymity.- PHT and KELM Based Face Recognition.- Link Failure Detection in MANET: A Survey.- Review of Low Power Techniques for Neural Recording Applications.- Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review.- Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC design.- Enhancement in Teaching Quality Methodology by Predicting Attendance using Machine Learning Technique.- Improvement in Extended Object tracking with the Vision-Based Algorithm.
Автор: Bandyopadhyay Mainak, Rout Minakhi, Chandra Satapathy Suresh Название: Machine Learning Approaches for Urban Computing ISBN: 9811609373 ISBN-13(EAN): 9789811609374 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area.
Автор: Henri Prade; Gilles Richard Название: Computational Approaches to Analogical Reasoning: Current Trends ISBN: 3662523647 ISBN-13(EAN): 9783662523643 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Then, different formal frameworks for handling analogies are presented, dealing with case-based reasoning, heuristic-driven theory projection, commonsense reasoning about incomplete rule bases, logical proportions induced by similarity and dissimilarity indicators, and analogical proportions in lattice structures.
Автор: Olga Kosheleva; Karen Villaverde Название: How Interval and Fuzzy Techniques Can Improve Teaching ISBN: 3662559919 ISBN-13(EAN): 9783662559918 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction: Need for Interval and Fuzzy Techniques in Math and Science Education.-Part I How to Motivate Students.-How to Motivate Students? .-Need to Understand the Presence of Uncertainty: Emphasizing Paradoxes as a (Seemingly Paradoxical) Way to Enhance the Learning of (Strict) Mathematics .-Uncertainty-Related Example Explaining Why Geometry Is Useful: Geometry of a Plane .-Uncertainty-Related Example Explaining Why Calculus Is Useful: Example of the Mean Value Theorem .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Egyptian Fractions .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Mayan and Babylonian Arithmetics .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Babylonian Method of Computing the Square Root .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Russian Peasant Multiplication Algorithm .-How to Enhance Student Motivations by Borrowing from Modern Practices: Geometric Approach to Error-Less Counting .-How to Enhance Student Motivations by Borrowing from Modern Practices: Can We Learn Algorithms from People Who Compute Fast.-How to Enhance a General Student Motivation to Study: Asymmetric Paternalism .-Financial Motivation: How to Incentivize Students to Graduate Faster.-Part II In What Order to Present the Material.-In What Order to Present the Material.-Spiral Curriculum: Towards Mathematical Foundations.-How Much Time to Allocate to Each Topic?.-What is Wrong with Teaching to the Test: Uncertainty Techniques Help in Understanding the Controversy.-In What Order to Present the Material: Fractal Approach.-How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Education and Collaboration: Lessons from a Case Study.-In What Order to Present the Material Within Each Topic: Concrete-First vs. Abstract-First .-Part III How to Select an Appropriate Way of Teaching Each Topic.-How to Select an Appropriate Way of Teaching Each Topic .-What is the Best Way to Distribute the Teacher's Efforts Among Students .-What is the Best Way to Allocate Teacher's Efforts: How Accurately Should We Write on the Board? When Marking Comments on Student Papers? .-How to Divide Students into Groups so as to Optimize Learning .-How to Divide Students into Groups: Importance of Diversity and Need for Intelligent Techniques to Further Enhance the Advantage of Groups with Diversity in Problem Solving .-A Minor but Important Aspect of Teaching Large Classes: When to Let in Late Students? .-Part IV How to Assess Students, Teachers, and Teaching Techniques.-How to Assess Students, Teachers, and Teaching Techniques.-How to Assess Students: Rewarding Results or Rewarding Efforts?.-How to Assess Students: Assess Frequently.-How to Assess Students: Surprise Them.-How to Assess Individual Contributions to a Group Project.-How to Access Students's Readiness for the Next Class.-How to Assess Students: Beyond Weighted Average.-How to Assess a Class .-How to Assess Teachers.-How to Assess Teaching Teachniques.-How to Assess Universities: Defining Average Class Size in a Way Which Is Most Adequate for Teaching Effectiveness.-Conclusions .
Описание: This book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems, Internet of things (IoT), computer vision, and tools and techniques for Intelligent Information Systems. They are extended versions of papers presented at the ACIIDS 2018 conference (10th Asian Conference on Intelligent Information and Database Systems), which was held in Dong Hoi City, Vietnam on 19–21 March 2018. What all researchers and students of computer science need is a state-of-the-art report on the latest trends in their respective areas of interest. Over the years, researchers have proposed increasingly complex theoretical models, which provide the theoretical basis for numerous applications. The applications, in turn, have a profound influence on virtually every aspect of human activities, while also allowing us to validate the underlying theoretical concepts.
Автор: by Nenad Filipovic Название: Computational Bioengineering and Bioinformatics ISBN: 3030436578 ISBN-13(EAN): 9783030436575 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: Tuning Cooperativity of Calcium Activation in Cardiac Muscle.- Chapter 2: Application of Composite Smeared Finite Element Model in Drug Delivery inside Organs.- Chapter 3: Role of atomic and molecular non-observable properties in the understanding and description of real observables of the chemical systems.- Chapter 4: Effect of hip implant surface modification on shear stress distribution.- Chapter 5: Medical Image Processing using Xilinx System Generator.- Chapter 6: Computer Assisted Analysis of the Hepatic Spheroid Formation.
Описание: Chapter 1: Tuning Cooperativity of Calcium Activation in Cardiac Muscle.- Chapter 2: Application of Composite Smeared Finite Element Model in Drug Delivery inside Organs.- Chapter 3: Role of atomic and molecular non-observable properties in the understanding and description of real observables of the chemical systems.- Chapter 4: Effect of hip implant surface modification on shear stress distribution.- Chapter 5: Medical Image Processing using Xilinx System Generator.- Chapter 6: Computer Assisted Analysis of the Hepatic Spheroid Formation.
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