Newsfeeds
Wiley-VCH - Computer Science
A Passion for Publishing
-
Smart Chips for Smart Devices
Master the future of semiconductor technology with this essential guide, which provides the advanced circuit design strategies necessary to develop the high-performance, low-power VLSI chips that drive the modern IoT revolution. The IoT revolution has created a demand for ever-more-sophisticated and compact devices, making VLSI design a significant concern. The demand for low-power, efficient, portable, and reliable semiconductor chips forces research into developing new designs and techniques to cater to these advanced applications. This book explores the state-of-the-art field of Very-Large-Scale Integration design, emphasizing how it is used in the Internet of Things. It demonstrates strategies that combine VLSI in IoT applications, covering a wide range of subjects that are crucial for creating integrated circuits that are dependable, powerful, and high-performing. The book explores advanced circuit design, system-on-chip (SoC) architectures, and basic VLSI design ideas. Additionally, it addresses important aspects of IoT applications, like sensor integration, low power consumption, and secure communication protocols through case studies and practical applications that show how theoretical ideas are put to use in real-world settings to address the unique requirements of IoT systems. Designed for engineers, designers, and researchers, this book is an essential guide for using VLSI principles to make more creative, scalable, and effective Internet of Things solutions. [384 Pages, Hardcover]
Read More...
-
Cybersicherheit für Dummies
In diesem Buch erfahren Sie, welchen Gefahren Sie und Ihr Computer ausgesetzt sind, wie Sie sich davor schützen, wie Sie Schwachstellen in Ihren Geräten erkennen und was Sie im Fall der Fälle tun müssen, um Ihre Daten möglichst wiederherzustellen. [336 Pages, Softcover]
Read More...
-
Designing Inclusive Classrooms
Designing Inclusive Classrooms Recently, both the education and technology fields have acknowledged a rising awareness that traditional teaching practices, curricula, and institutional policies can frequently uphold inequalities. These disparities have a greater impact on students belonging to marginalized communities, such as low-income backgrounds, students with disabilities, and racial and ethnic minorities. The global transition to digital and online learning has worsened this problem, highlighting disparities in access and inclusivity. This book will serve as a comprehensive reference for understanding how to create equitable and socially just learning environments by leveraging emerging technologies. The book will cover a wide range of topics, from foundational theories of equity and justice in education to practical applications of cutting-edge technologies such as artificial intelligence, virtual reality, and digital learning platforms. It will provide both a conceptual framework and actionable strategies for designing classrooms that meet the diverse needs of students while promoting fairness, inclusivity, and engagement. In addition to practical guidance, the book will critically examine the challenges and ethical considerations of using technology in the pursuit of equity and social justice. This book will serve as an invaluable resource across the fields of education and technology to create a more equitable future. [400 Pages, Hardcover]
Read More...
-
Barrierefreie Websites für Dummies
Digitale Barrierefreiheit ist jetzt Pflicht ? aber wie gehen Sie das richtig an? Dieses Buch begleitet Sie dabei, Webseiten barrierefrei zu konzipieren, zu gestalten und umzusetzen. So werden Ihre digitalen Auftritte nicht nur gesetzeskonform, sondern auch für alle zugänglich! [384 Pages, Softcover]
Read More...
-
Machine Learning and Big Data-enabled Biotechnology
Part I - From DNA? 1 Deep learning approaches for synthetic biology part design 2 Automated approaches for GSM development from DNA sequence 3 Predictive models from genome sequences Part II - ?.to Proteins? 4 De novo protein structure and design tools 5 Machine learning approaches for protein engineering 6 Pathway discovery / Retrobiosynthesis 7 Enzyme functional classifications 8 Proteomics machine learning approaches and de novo identification Part III - ?to whole cells and beyond 9 Machine learning approaches for gene expression 10 Metabolomics big data approaches 11 Use of Generative AI and natural language processing for cell models 12 Metabolic production, strain engineering, and flux design 13 Automated function and learning in biofoundries/strain designs 14 Machine learning predictions of phenotype and bioreactor performance [432 Pages, Hardcover]
Read More...