This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis. Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next-big-game changer in research and technology, The volume looks at how computing has enabled machines to learn, making machine and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more. The book will be valuable to professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology.

Discusses open principles, methods, and research problems Presents a vision for how IIoT could change the world in the distant future Covers how industry automation is projected to be the largest and fastest growing segment of the IIoT market Explores the collaboratively development of high performance telecommunications, military, industrial, and general purpose embedded computing applications Offers a systematic overview of the state-of-the-art research efforts and potential research directions for dealing with IIoT challenges.

Discusses the industry transformation aligned with computerization of manufacturing and the concept of required skills needed to build the new workforce Covers the role of Artificial Intelligence in the management of resource flow and decision-making in the industrial transformation of operations and supply chain management Presents sustainability efficiency for industrial transformation with IoT, machine learning, data analysis and blockchain technologies Focuses on industrial development, design, implementation, and transformation using technologies such as Big Data Analytics, Blockchain among others Showcases the incorporation of complex processes and functions as one central component of digital systems Explores current trends that are accelerating the industrial transformation and influencing the transition of the fourth industrial revolution related to industrial infrastructure, biodiversity, and production enhancement

Die Bioinformatik ist ein Feld zwischen der Biologie und der Informationstechnologie. Das Werk deckt zahlreiche Gebiete der Bioinformatik ab, beginnend mit den grundlegenden Prinzipien, Konzepten und multidisziplinaren Anwendungsbereichen. Es enthalt eine Reihe von Kapiteln, in denen die Rolle der Bioinformatik bei der Entwicklung und Entdeckung von Arzneimitteln beschrieben wird, insbesondere in Bezug auf die molekulare Modellierung. In anderen Kapiteln werden Themen wie in-silico-Design, Proteinmodellierung, DNA-Mikroarray-Analyse, DNA-RNA-Barcoding und Gensequenzierung ausfuhrlich behandelt. Und schliesslich widmen sich einige Kapitel speziellen Themen wie der Nutzung der Bioinformatik in der Krebserkennung, Genomik, Proteomik, beim maschinellen Lernen sowie bei kovalenten Ansatzen in der Entwicklung von Arzneimitteln.

Smart homes, smart cities, and wearable technologies are the growing applications of the internet of things (IoT). Ranging from healthcare tracking applications to smart watches and smart bands for personal safety, the IoT has turned out to be one of the most indispensable parts of our lives even as it is becoming more interconnected to better serve people. With the exponential growth of the IoT and its applications, building the next-generation smart world becomes much more feasible. The IoT and the Net Revolutions Automating the World covers a spectrum of intelligent applications of the IoT in parking, traffic management, waste management, lighting, air pollution controlling, healthcare, weather tracking, retail, and other areas calling for automation. Highlighting a wide range of topics such as e-commerce, security management, and web infrastructure, this book is ideal for academicians, students, researchers, industry professionals, IT consultants, engineers, and scientists.

Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.

Smart homes, smart cities, and wearable technologies are the growing applications of the internet of things (IoT). Ranging from healthcare tracking applications to smart watches and smart bands for personal safety, the IoT has turned out to be one of the most indispensable parts of our lives even as it is becoming more interconnected to better serve people. With the exponential growth of the IoT and its applications, building the next-generation smart world becomes much more feasible. The IoT and the Next Revolutions Automating the World covers a spectrum of intelligent applications of the IoT in parking, traffic management, waste management, lighting, air pollution controlling, healthcare, weather tracking, retail, and other areas calling for automation. Highlighting a wide range of topics such as e-commerce, security management, and web infrastructure, this book is ideal for academicians, students, researchers, industry professionals, IT consultants, engineers, and scientists.

Mit diesem Buch soll aufgezeigt werden, wie von der Natur inspirierte Berechnungen eine praktische Anwendung im maschinellen Lernen finden, damit wir ein besseres Verstandnis fur die Welt um uns herum entwickeln. Der Schwerpunkt liegt auf der Darstellung und Prasentation aktueller Entwicklungen in den Bereichen, in denen von der Natur inspirierte Algorithmen speziell konzipiert und angewandt werden, um komplexe reale Probleme in der Datenanalyse und Mustererkennung zu loesen, und zwar durch Anwendung fachspezifischer Loesungen. Mit einer detaillierten Beschreibung verschiedener, von der Natur inspirierter Algorithmen und ihrer multidisziplinaren Anwendung (beispielsweise in Maschinenbau und Elektrotechnik, beim maschinellen Lernen, in der Bildverarbeitung, beim Data Mining und in Drahtlosnetzwerken) ist dieses Buch ein praktisches Nachschlagewerk.