Название: New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics
Автор: Oscar Castillo, Patricia Melin
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 471
Язык: английский
Формат: pdf (true), epub
Размер: 56.9 MB

In this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are applied to areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition and classification problems.

Название: Recent Innovations in Artificial Intelligence and Smart Applications
Автор: Mostafa Al-Emran, Khaled Shaalan
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book tackles the recent research trends on the role of AI in advancing automotive manufacturing, augmented reality, sustainable development in smart cities, telemedicine, and robotics. It sheds light on the recent AI innovations in classical Machine Learning, Deep Learning, Internet of Things (IoT), Blockchain, knowledge representation, knowledge management, Big data, and natural language processing (NLP). The edited book covers empirical and reviews studies that primarily concentrate on the aforementioned issues, which would assist scholars in pursuing future research in the domain and identifying the possible future developments of AI applications. The rapid emergence of Deep Learning (DL) algorithms has paved the way for bringing Artificial Intelligence (AI) services to end users. The intersection between edge computing and AI has brought an exciting area of research called edge artificial intelligence (Edge AI).

Название: Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems
Автор: Anupam Biswas, Can B. Kalayci, Seyedali Mirjalili
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 416
Язык: английский
Формат: pdf (true)
Размер: 10.15 MB

Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines in both science and technology. Generally speaking, the algorithms that come under SI domain are typically population-based meta-heuristics techniques and are mostly inspired by nature. This book strives to cover all the major SI techniques, including particle swarm optimization, ant colony optimization, firefly algorithm, dragonfly algorithm, cuckoo search, and many more.

Название: Tree-Based Methods for Statistical Learning in R: A Practical Introduction with Applications in R
Автор: Brandon M. Greenwell
Издательство: CRC Press
Год: 2022
Страниц: 405
Язык: английский
Формат: pdf (true)
Размер: 29.1 MB

Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level, which lie at the cutting edge of modern statistical and Machine Learning (ML) methodology. The book follows up most ideas and mathematical concepts with code-based examples in the R statistical language; with an emphasis on using as few external packages as possible. For example, users will be exposed to writing their own random forest and gradient tree boosting functions using simple for loops and basic tree fitting software (like rpart and party/partykit), and more. The core chapters also end with a detailed section on relevant software in both R and other opensource alternatives (e.g., Python, Spark, and Julia), and example usage on real data sets. While the book mostly uses R, it is meant to be equally accessible and useful to non-R programmers.

Название: Time Series for Data Science: Analysis and Forecasting
Автор: Wayne A. Woodward, Bivin P. Sadler, Stephen D. Robertson
Издательство: CRC Press
Год: 2022
Страниц: 529
Язык: английский
Формат: pdf (true), epub
Размер: 63.8 MB

Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject. For software choice, we have created an R package tswge, which is available on CRAN to accompany this book. Because of the clearly described R syntax, students should not be required to have previous knowledge of R. The number of examples and the focus on participation by the reader to enter the provided R code will ground the students with the necessary R coding skills. In fact, this textbook could be a resource for an introductory course in R programming with time series applications.

Название: Artificial Intelligence: An Introduction for the Inquisitive Reader
Автор: Robert H. Chen, Chelsea Chen
Издательство: CRC Press
Год: 2022
Страниц: 357
Язык: английский
Формат: pdf (true), epub
Размер: 16.0 MB

Artificial Intelligence: An Introduction for the Inquisitive Reader guides readers through the history and development of AI, from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of mathematics and computer science. As the book moves forward, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing artificial intelligence as it is today.

Название: Captain Code: Unleash Your Coding Superpower with Python
Автор: Ben Forta & Shmuel Forta
Издательство: Pearson Education/Addison-Wesley Professional
Год: 2022
Страниц: 401
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB, 40.7 MB

Becoming a coder is all fun and games! Everyone should learn to code. Much like drawing and sketching, playing an instrument, cooking, or taking pictures and shooting videos, coding is a creative endeavor, which means it's a way to actually create stuff, and creating stuff is incredibly rewarding and satisfying. Sure, it's fun to spend hours on your phone looking at what other people have created; but that's nothing compared to the joy and satisfaction of creating things that other people consume and use. Yep, coding is fun!

Название: Python for Geospatial Data Analysis: Theory, Tools, and Practice for Location Intelligence (Eighth Early Release)
Автор: Bonny P. McClain
Издательство: O’Reilly Media, Inc.
Год: 2022-10-03
Страниц: 200
Язык: английский
Формат: epub (true)
Размер: 113.2 MB

There are a variety of options in geographic information systems (GIS) software with pros and cons associated with all of them. Why explore geospatial data analysis with Python programming? Python has been embraced by the geospatial community and can be found integrated with a wide variety of commercial products such as ESRI, backend for other software packages such as QGIS and Geographic Resources Analysis Support System (GRASS), and Google Earth. Author Bonny P. McClain demonstrates why detecting and quantifying patterns in geospatial data is vital. Both proprietary and open source platforms allow you to process and visualize spatial information. This book is for people familiar with data analysis or visualization who are eager to explore geospatial integration with Python.

Название: Istio Ambient Explained: Getting Started with Istio Ambient Service Mesh
Автор: Lin Sun, Christian Posta
Издательство: O’Reilly Media, Inc.
Год: 2022-10-03
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

Service meshes such as Istio provide a lot of value to teams running microservices architectures or cloud workloads. But they do have their drawbacks. To help you implement their capabilities, most service meshes use a sidecar proxy, an architecture that comes with operational complexities and costly resource overhead. In this report, authors Lin Sun and Christian Posta from Solo.io dive into Istio ambient mesh, a new sidecarless data plane mode designed for transparent application onboarding, simplified operation, and reduced infrastructure cost. Developers, architects, and platform owners will examine the challenges of existing sidecar architecture, explore the benefits of ambient mesh, and learn how to get started with Istio ambient service mesh.

Название: Firmware Development: A Guide to Specialized Systemic Knowledge
Автор: Subrata Banik, Vincent Zimmer
Издательство: Apress
Год: 2022
Страниц: 423
Язык: английский
Формат: pdf (true), epub
Размер: 13.8 MB, 19.7 MB

Build your own system firmware. This book helps you understand system firmware architecture and minimalistic design, and provides a specialized knowledge of firmware development. The book includes guidance on understanding the system firmware build procedure, integrating pieces of firmware and allowing configuration, updating system firmware, creating a development infrastructure for allowing multi-party collaboration in firmware development, and gaining advanced system firmware debugging knowledge.