Algorithms and data structures

Road congestion imposes major financial, social, and environmental costs.

Road congestion imposes major financial, social, and environmental costs.

Use the computational thinking philosophy to solve complex problems by designing appropriate algorithms to produce optimal results across various domainsKey FeaturesDevelop logical reasoning and problem-solving skills that will help you tackle complex problemsExplore core computer science concepts and important computational thinking elements using practical examplesFind out how to identify the best-suited algorithmic solution for your problemBook DescriptionComputational thinking helps you to develop logical processing and algorithmic thinking while solving real-world problems across a wide range of domains.

The book addresses the challenges in designing blockchain-based secured solutions for Industry 4.

With contributions from experts from around the world, this handbook aims to systemize the existing experience and knowledge that can be used to the development of more efficient and controlled railway systems.

This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world.

This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world.

The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing.

El presente libro expone un nuevo modelo de entrenamiento para redes Single-hidden Layer Feedforward Network -SFLN-, llamado máquina de entrenamiento comprimido basada en Extreme Learning Machine -ELM- o MEC-ELM.

The book addresses the challenges in designing blockchain-based secured solutions for Industry 4.

This book uncovers stakes and possibilities offered by Computational Intelligence and Predictive Analytics to Medical Science.

The book comprehensively discusses concepts of artificial intelligence in green transportation systems.

This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing.

Fuzzy sets have long been employed to handle imprecise and uncertain information in the real world, but their limitations in dealing with incomplete and inconsistent data led to the emergence of neutrosophic sets.

This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing.

The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing.

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data.

Comprehensive guide to data structures and programming design using C++.

This proceedings volume presents a selection of peer-reviewed contributions from the Second Non-Associative Algebras and Related Topics (NAART II) conference, which was held at the University of Coimbra, Portugal, from July 18-22, 2022.

Use the computational thinking philosophy to solve complex problems by designing appropriate algorithms to produce optimal results across various domainsKey FeaturesDevelop logical reasoning and problem-solving skills that will help you tackle complex problemsExplore core computer science concepts and important computational thinking elements using practical examplesFind out how to identify the best-suited algorithmic solution for your problemBook DescriptionComputational thinking helps you to develop logical processing and algorithmic thinking while solving real-world problems across a wide range of domains.

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently.

This proceedings volume presents a selection of peer-reviewed contributions from the Second Non-Associative Algebras and Related Topics (NAART II) conference, which was held at the University of Coimbra, Portugal, from July 18-22, 2022.

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing.

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing.

The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering.

This book is a complete guide to using functions in Power Query and is designed to help users of all skill levels learn and master its various functions.

The sixth generation (6G) of wireless cellular networks is expected to incorporate the latest developments in network infrastructure and emerging advances in technology.

The sixth generation (6G) of wireless cellular networks is expected to incorporate the latest developments in network infrastructure and emerging advances in technology.

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling.

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling.

Algorithms: Technology, Culture, Politics develops a relational, situated approach to algorithms.

Algorithms: Technology, Culture, Politics develops a relational, situated approach to algorithms.

The book highlights how technologies including artificial intelligence and machine learning are transforming renewable energy technologies and enabling the development of new solutions.

This book explores opportunities and challenges in the field of Internet of Everything (IoE) security and privacy under the umbrella of distributed ledger technologies and blockchain technology including distributed consensus mechanisms, crypto-sensors, encryption algorithms, and fault tolerance mechanisms for devices and systems.

This book explores opportunities and challenges in the field of Internet of Everything (IoE) security and privacy under the umbrella of distributed ledger technologies and blockchain technology including distributed consensus mechanisms, crypto-sensors, encryption algorithms, and fault tolerance mechanisms for devices and systems.

This book is a hands-on guide for programmers who want to learn how C++ is used to develop solutions for options and derivatives trading in the financial industry.

Facilitate coding in generating geometric motives with a special focus on analyzing their geometric formulations.

Facilitate coding in generating geometric motives with a special focus on analyzing their geometric formulations.

This new book brings together the most recent trends related to AI, machine learning, and network security.

This new book brings together the most recent trends related to AI, machine learning, and network security.

Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming.

Computational intelligence-based optimization methods, also known as metaheuristic optimization algorithms, are a popular topic in mathematical programming.

This book exposes how inequalities based on class and social background arise from employment practices in the digital age.

This book exposes how inequalities based on class and social background arise from employment practices in the digital age.

An unfortunate outcome of the growth of the Internet and mobile technologies has been the challenge of countering cybercrime.

The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples.