Название: Handbook of HydroInformatics: Volume III: Water Data Management Best Practices
Автор: Saeid Eslamian, Faezeh Eslamian
Издательство: Elsevier
Год: 2023
Страниц: 422
Язык: английский
Формат: pdf (true)
Размер: 45.8 MB

Handbook of HydroInformatics Volume III: Water Data Management Best Practices presents the latest and most updated data processing techniques that are fundamental to Water Science and Engineering disciplines. These include a wide range of the new methods that are used in hydro-modeling such as Atmospheric Teleconnection Pattern, CONUS-Scale Hydrologic Modeling, Copula Function, Decision Support System, Downscaling Methods, Dynamic System Modeling, Economic Impacts and Models, Geostatistics and Geospatial Frameworks, Hydrologic Similarity Indices, Hydropower/Renewable Energy Models, Sediment Transport Dynamics Advanced Models, Social Data Mining, and Wavelet Transforms. Particle swarm optimization (PSO) is a stochastic population-based optimization algorithm inspired by the interactions of individuals in a social world. This algorithm is widely applied in various areas of water resource problems.

Название: Handbook of HydroInformatics: Volume II: Advanced Machine Learning Techniques
Автор: Saeid Eslamian, Faezeh Eslamian
Издательство: Elsevier
Год: 2023
Страниц: 420
Язык: английский
Формат: pdf (true)
Размер: 43.7 MB

Advanced Machine Learning Techniques includes the theoretical foundations of modern Machine Learning, as well as advanced methods and frameworks used in modern Machine Learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced Machine Learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode.

Название: Handbook of HydroInformatics: Volume I: Classic Soft-Computing Techniques
Автор: Saeid Eslamian, Faezeh Eslamian
Издательство: Elsevier
Год: 2023
Страниц: 484
Язык: английский
Формат: pdf (true)
Размер: 43.1 MB

Classic Soft-Computing Techniques is the first volume of the three, in the Handbook of HydroInformatics series. Through this comprehensive, 34-chapters work, the contributors explore the difference between traditional computing, also known as hard computing, and soft computing, which is based on the importance given to issues like precision, certainty and rigor. The chapters go on to define fundamentally classic soft-computing techniques such as Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Supporting Vector Machine, Ant-Colony Based Simulation, Bat Algorithm, Decision Tree Algorithm, Firefly Algorithm, Fish Habitat Analysis, Game Theory, Hybrid Cuckoo–Harmony Search Algorithm, Honey-Bee Mating Optimization, Imperialist Competitive Algorithm, Relevance Vector Machine, etc. The Chapter 1 describes different types of regressions and how they can be used to solve real problems. To solve our challenges in different sections, we utilize the Scikit-learn Python library.

Название: Building Knowledge Graphs: A Practitioner’s Guide (Fourth Early Release)
Автор: Jesus Barrasa, Maya Natarajan, Jim Webber
Издательство: O’Reilly Media, Inc.
Год: 2022-12-28
Страниц: 104
Язык: английский
Формат: epub (true), mobi
Размер: 11.7 MB

Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by saving interlinked descriptions of entities (objects, events, situations, or abstract concepts) while encoding the semantics underlying the terminology. How do you create a knowledge graph? And how do you move it from theory into practice? Using hands-on examples, this practical book shows data scientists and data practitioners how to build their own custom knowledge graphs.

Название: Image Processing and Intelligent Computing Systems
Автор: Prateek Singhal, Abhishek Verma, Prabhat Kumar Srivastava
Издательство: CRC Press
Год: 2023
Страниц: 321
Язык: английский
Формат: pdf (true)
Размер: 29.6 MB

There is presently a drastic growth in multimedia data. There are many critical applications in which images play a vital role. These applications use raw image data to extract some useful information about the world around us. The quick extraction of valuable information from raw images is one challenge that academicians and professionals face in the present day. This is where image processing comes into action. Image processing’s primary purpose is to get an enhanced image or extract some useful information from raw image data. Therefore, there is a major need for some technique or system that addresses this challenge. Intelligent Systems have emerged as a solution to address quick image information extraction. In simple words, an Intelligent System can be defined as a mathematical model that adapts itself to deal with a problem’s dynamicity. These systems learn how to act so an image can reach an objective. An Intelligent System helps accomplish various image-processing functions like enhancement, segmentation, reconstruction, object detection, and morphing. The advent of Intelligent Systems in the image-processing field has leveraged many critical applications for humankind. These critical applications include factory automation, biomedical imaging analysis, decision econometrics, as well as related challenges.

Название: The Advanced Roblox Coding Book: An Unofficial Guide, Updated Edition
Автор: Haskins Heath
Издательство: Adams Media
Год: 2022
Формат: pdf
Страниц: 193
Размер: 14 mb
Язык: Английский

Make the most out of your Roblox experience with The Advanced Roblox Coding Book—now updated with new content, including updated avatar customization, movement and animation updates, and more!

Название: Machine Learning and Artificial Intelligence, 2nd Edition
Автор: Ameet V. Joshi
Издательство: Springer
Год: 2023
Страниц: 279
Язык: английский
Формат: pdf (true), epub
Размер: 48.3 MB

The new edition of this popular professional book on Artificial Intelligence (ML) and Machine Learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned. We are also going to learn how to implement the concepts learnt in each of the chapter using open-source Python libraries. Python has become de facto standard for implementing the Machine Larning algorithms due to support from the community as well as from commercial platforms from companies like Amazon, Google, and Microsoft.

Название: Elements of Competitive Programming : Dynamic Programming (88 Problems with Solutions) : A Functional Approach
Автор: Chandra Shekhar Kumar
Издательство: Leanpub
Год: 2022-10-31
Страниц: 229
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Infused with the wisdom of Richard Bellman, the father of Dynamic Programming, this tiny book distills the inherent concepts and techniques in a (88) problems-solutions format (including code in modern C++ and pseudo style) with focus on to convey the art of formulating the solution of problems in terms of dynamic-programming recurrence relations. This book was planned as an aid to students preparing for competitive programming. Written in a problem-solution format, this is exceptionally convenient for analyzing common errors made by the coder in competitive coding sports, for reviewing different methods of solving the same problems and for discussing difficult questions of fundamentals of algorithms with focus on dynamic programming. Attention can be drawn to various aspects of the problem, certain fine points can be made, and a more thorough understanding of the fundamentals can be reached. The art of formulating and solving problems using dynamic programming can be learned only through active participation by the student.

Название: Kotlin Essentials
Автор: Marcin Moskala
Издательство: Leanpub
Год: 2022-12-15
Страниц: 316
Язык: английский
Формат: pdf (true), epub
Размер: 31.0 MB

This book covers the essentials of Kotlin so you can start developing with this amazing programming language. We show nearly everything you need to know in clear and executable code examples. Kotlin is a powerful language, largely thanks to its expressive syntax, intuitive and null-safe type system, and great tooling support. It’s no wonder Kotlin is the most popular language for Android development and is a popular alternative to Java for backend applications. It is also used for data science and for multiplatform, iOS, desktop, and web application development. In this book, you are going to learn about the most important Kotlin features, which will let you properly start your adventure with Kotlin.

Название: Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications
Автор: M.G. Sumithra, Rajesh Kumar Dhanaraj, Celestine Iwendi
Издательство: De Gruyter
Год: 2023
Страниц: 214
Язык: английский
Формат: pdf (true), epub
Размер: 85.9 MB

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing (NLP). The integration of Deep Learning (DL) improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights. The area of Artificial Intelligence (AI) is the study of how machines execute the tasks which could be completed with the help of human brilliance or intelligence. AI is an advanced area of computing technology that enables a computer or a machine’s critical thinking ability as an intelligent person’s brain. AI can be defined as a collective study of the processes by which the human brain reads the problem, gets knowledge on problems, finds the ways to solve the problems, takes decisions to find the best way, and executes the tasks to achieve the solution. AI’s major goal is to improve computing’s functions to the level of a human brain by adding activities like thinking, learning, and problem solving. The intelligence is difficult to describe or measure and it is capable of doing the functions like reasoning, learning, problem solving, perception, and linguistic intelligence. Machine Learning makes use of various methods from science and statistical studies such as artificial neural networks, physics, numerical data analysis, and analytical study of problem-solving and decision-making to understand concealed facts in data without any explicit instruction where to search or what to deal.