22 results (0,17777 seconds)

Brand

Merchant

Price (EUR)

Reset filter

Products
From
Shops

An Introduction to Tensor Analysis

Recent Trends and Best Practices in Industry 4.0

Digital Filter Design and Realization

Special Functions and their Application

Applied Data Analytics - Principles and Applications

Applied Data Analytics - Principles and Applications

The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications cyber security data crime data telecommunications and stock market data health records and business analytics data are but a few areas of interest. Applications and platforms including R RapidMiner and Weka provide the basis for analysis often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes or to spot errors. Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms languages and visualisation systems. The book when combined with such platforms provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations deep learning artificial intelligence statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate postgraduate and big data analytics enthusiasts. This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence environmental sensor data modelling and analysis health informatics business data analytics data from Internet of Things and deep learning applications.

GBP 94.99
1

Handbook of Energy Engineering

Machine Learning for Healthcare Systems Foundations and Applications

Machine Learning for Healthcare Systems Foundations and Applications

The introduction of digital technology in the healthcare industry is marked by ongoing difficulties with implementation and use. Slow progress has been made in unifying different healthcare systems and much of the world still lacks a fully integrated healthcare system. The intrinsic complexity and development of human biology as well as the differences across patients have repeatedly demonstrated the significance of the human element in the diagnosis and treatment of illnesses. But as digital technology develops healthcare providers will undoubtedly need to use it more and more to give patients the best treatment possible. The extensive use of machine learning in numerous industries including healthcare has been made possible by advancements in data technologies including storage capacity processing capability and data transit speeds. The need for a personalized medicine or precision medicine approach to healthcare has been highlighted by current trends in medicine due to the complexity of providing effective healthcare to each individual. Personalized medicine aims to identify forecast and analyze diagnostic decisions using vast volumes of healthcare data so that doctors may then apply them to each unique patient. These data may include but are not limited to information on a person’s genes or family history medical imaging data drug combinations patient health outcomes at the community level and natural language processing of pre-existing medical documentation. This book provides various insights into machine learning techniques in healthcare system data and its analysis. Recent technological advancements in the healthcare system represent cutting-edge innovations and global research successes in performance modelling analysis and applications. | Machine Learning for Healthcare Systems Foundations and Applications

GBP 99.99
1

Innovation and Sustainability in Governments and Companies: A Perspective to the New Realities

Modulation Theory

Modulation Theory

In recent years a considerable amount of effort has been devoted both in industry and academia towards the design performance analysis and evaluation of modulation schemes to be used in wireless and optical networks towards the development of the next and future generations of mobile cellular communication systems. Modulation Theory is intended to serve as a complementary textbook for courses dealing with Modulation Theory or Communication Systems but also as a professional book for engineers who need to update their knowledge in the communications area. The modulation aspects presented in the book use modern concepts of stochastic processes such as autocorrelation and power spectrum density which are novel for undergraduate texts or professional books and provides a general approach for the theory with real life results applied to professional design. This text is suitable for the undergraduate as well as the initial graduate levels of Electrical Engineering courses and is useful for the professional who wants to review or get acquainted with the a modern exposition of the modulation theory. The books covers signal representations for most known waveforms Fourier analysis and presents an introduction to Fourier transform and signal spectrum including the concepts of convolution autocorrelation and power spectral density for deterministic signals. It introduces the concepts of probability random variables and stochastic processes including autocorrelation cross-correlation power spectral and cross-spectral densities for random signals and their applications to the analysis of linear systems. This chapter also includes the response of specific non-linear systems such as power amplifiers. The book presents amplitude modulation with random signals including analog and digital signals and discusses performance evaluation methods presents quadrature amplitude modulation using random signals. Several modulation schemes are discussed including SSB QAM ISB C-QUAM QPSK and MSK. Their autocorrelation and power spectrum densities are computed. A thorough discussion on angle modulation with random modulating signals along with frequency and phase modulation and orthogonal frequency division multiplexing is provided. Their power spectrum densities are computed using the Wiener-Khintchin theorem.

GBP 35.99
1

Embedded Artificial Intelligence Devices Embedded Systems and Industrial Applications

Embedded Artificial Intelligence Devices Embedded Systems and Industrial Applications

Recent technological developments in sensors edge computing connectivity and artificial intelligence (AI) technologies have accelerated the integration of data analysis based on embedded AI capabilities into resource-constrained energy-efficient hardware devices for processing information at the network edge. Embedded AI combines embedded machine learning (ML) and deep learning (DL) based on neural networks (NN) architectures such as convolutional NN (CNN) or spiking neural network (SNN) and algorithms on edge devices and implements edge computing capabilities that enable data processing and analysis without optimised connectivity and integration allowing users to access data from various sources. Embedded AI efficiently implements edge computing and AI processes on resource-constrained devices to mitigate downtime and service latency and it successfully merges AI processes as a pivotal component in edge computing and embedded system devices. Embedded AI also enables users to reduce costs communication and processing time by assembling data and by supporting user requirements without the need for continuous interaction with physical locations. This book provides an overview of the latest research results and activities in industrial embedded AI technologies and applications based on close cooperation between three large-scale ECSEL JU projects AI4DI ANDANTE and TEMPO. The book’s content targets researchers designers developers academics post-graduate students and practitioners seeking recent research on embedded AI. It combines the latest developments in embedded AI addressing methodologies tools and techniques to offer insight into technological trends and their use across different industries. | Embedded Artificial Intelligence Devices Embedded Systems and Industrial Applications

GBP 94.99
1

Energy Project Financing Resources and Strategies for Success

Photonic Interconnects for Computing Systems Understanding and Pushing Design Challenges

Photonic Interconnects for Computing Systems Understanding and Pushing Design Challenges

In recent years there has been a considerable amount of effort both in industry and academia focusing on the design implementation performance analysis evaluation and prediction of silicon photonic interconnects for inter- and intra-chip communication paving the way for the design and dimensioning of the next and future generation of high-performance computing systems. Photonic Interconnects for Computing Systems provides a comprehensive overview of the current state-of-the-art technology and research achievements in employing silicon photonics for interconnection networks and high-performance computing summarizing main opportunities and some challenges. The majority of the chapters were collected from presentations made at the International Workshop on Optical/Photonic Interconnects for Computing Systems (OPTICS) held over the past two years. The workshop invites internationally recognized speakers on the range of topics relevant to silicon photonics and computing systems. Technical topics discussed in the book include:Design and Implementation of Chip-Scale Photonic Interconnects;Developing Design Automation Solutions for Chip-Scale Photonic Interconnects;Design Space Exploration in Chip-Scale Photonic Interconnects;Thermal Analysis and Modeling in Photonic Interconnects;Design for Reliability;Fabrication Non-Uniformity in Photonic Interconnects;Photonic Interconnects for Computing Systems presents a compilation of outstanding contributions from leading research groups in the field. It presents a comprehensive overview of the design advantages challenges and requirements of photonic interconnects for computing systems. The selected contributions present important discussions and approaches related to the design and development of novel photonic interconnect architectures as well as various design solutions to improve the performance of such systems while considering different challenges. The book is ideal for personnel in computer/photonic industries as well as academic staff and master/graduate students in computer science and engineering electronic engineering electrical engineering and photonics. | Photonic Interconnects for Computing Systems Understanding and Pushing Design Challenges

GBP 79.99
1

Linear Electronics

Challenges in Cybersecurity and Privacy - the European Research Landscape

Challenges in Cybersecurity and Privacy - the European Research Landscape

Cybersecurity and Privacy issues are becoming an important barrier for a trusted and dependable global digital society development. Cyber-criminals are continuously shifting their cyber-attacks specially against cyber-physical systems and IoT since they present additional vulnerabilities due to their constrained capabilities their unattended nature and the usage of potential untrustworthiness components. Likewise identity-theft fraud personal data leakages and other related cyber-crimes are continuously evolving causing important damages and privacy problems for European citizens in both virtual and physical scenarios. In this context new holistic approaches methodologies techniques and tools are needed to cope with those issues and mitigate cyberattacks by employing novel cyber-situational awareness frameworks risk analysis and modeling threat intelligent systems cyber-threat information sharing methods advanced big-data analysis techniques as well as exploiting the benefits from latest technologies such as SDN/NFV and Cloud systems. In addition novel privacy-preserving techniques and crypto-privacy mechanisms identity and eID management systems trust services and recommendations are needed to protect citizens’ privacy while keeping usability levels. The European Commission is addressing the challenge through different means including the Horizon 2020 Research and Innovation program thereby financing innovative projects that can cope with the increasing cyberthreat landscape. This book introduces several cybersecurity and privacy research challenges and how they are being addressed in the scope of 15 European research projects. Each chapter is dedicated to a different funded European Research project which aims to cope with digital security and privacy aspects risks threats and cybersecurity issues from a different perspective. Each chapter includes the project’s overviews and objectives the particular challenges they are covering research achievements on security and privacy as well as the techniques outcomes and evaluations accomplished in the scope of the EU project. The book is the result of a collaborative effort among relative ongoing European Research projects in the field of privacy and security as well as related cybersecurity fields and it is intended to explain how these projects meet the main cybersecurity and privacy challenges faced in Europe. Namely the EU projects analyzed in the book are: ANASTACIA SAINT YAKSHA FORTIKA CYBECO SISSDEN CIPSEC CS-AWARE. RED-Alert Truessec. eu. ARIES LIGHTest CREDENTIAL FutureTrust LEPS. Challenges in Cybersecurity and Privacy - the European Research Landscape is ideal for personnel in computer/communication industries as well as academic staff and master/research students in computer science and communications networks interested in learning about cyber-security and privacy aspects.

GBP 89.99
1

Mathematical and Computational Modelling of Covid-19 Transmission

Electric and Electronic Circuit Simulation using TINA-TI

Direct Nerve Stimulation for Induction of Sensation and Treatment of Phantom Limb Pain

Multirate Signal Processing for Communication Systems

Multirate Signal Processing for Communication Systems

Multirate Signal processing can improve system performance and reduce costs in applications ranging from laboratory instruments cable modems wireless systems satellites Radar Sonar and consumer entertainment products. This second edition continues to offer a systematic clear and intuitive introduction to multirate signal processing for working engineers and system designers. Significant new material and fresh concepts including Green Signal Processing techniques have been introduced. The author uses extensive examples and figures to illustrate a wide range of multirate techniques from basic resampling to leading-edge cascade and multi-stage filter structures. Along the way he draws on extensive research and consulting experience to introduce processing “tricks” shown to maximize performance and efficiency. Coverage includes:• Effect of sampling and resampling in time and frequency domains• Relationships between FIR filter specifications and filter length (# of taps)• Window design and equal-ripple (Remez) design techniques• Square-Root Nyquist and Half-band Filters including new enhancements• Polyphase FIR filters: up-sampling down-sampling• Polyphase M-path analysis and synthesis channelizers and cascade pairs• Polyphase interpolators for arbitrary sample rate changes• Dyadic half-band filters quadrature mirror filters• Channel banks for multiple arbitrary bandwidths and center frequencies • Comprehensive coverage of recursive all-pass filters and channelizers non-uniform and uniform phase mixed recursive and non-recursive• Comparisons with traditional DSP designs• Extensive applications coverage throughout | Multirate Signal Processing for Communication Systems

GBP 94.99
1

Electrical Distribution Systems

Compressor Handbook: Principles and Practice

ICML 55.2 – Guideline for the Optimized Lubrication of Mechanical Physical Assets

Testing and Balancing HVAC Air and Water Systems

Testing and Balancing HVAC Air and Water Systems

This thoroughly revised book will provide the reader with an understanding of the principles and practices of testing and balancing (TAB) heating ventilating and air conditioning (HVAC) air and water systems. It is for anyone interested in testing and balancing. For the novice and the experienced testing and balancing technician it is a field reference book of procedures equations and information tables. For those interested in getting into TAB or who are new to the HVAC industry it is a text for learning more about HVAC systems and testing and balancing. For the mechanical engineer building owner facility manager commissioning agency or energy manager this book can be used for teaching TAB writing more effective specifications and learning about TAB and how it interacts with system commissioning indoor air quality and energy management. It is the intent of this book to improve the communications between owners mechanical engineers designers vendors contractors TAB engineers supervisors and technicians to ensure that HVAC systems are being thoroughly tested and balanced. This book is used in test and balance self-study courses in-house training programs seminars and other training formats as preparation for TAB certification and as a text in colleges and technical schools. The sixth edition has general and specific testing and balancing procedures for constant air volume systems variable air volume systems return air and exhaust air systems positive and negative pressure conditioned spaces and fans and fan performance in Chapters 1 through 9. Chapters 10–12 cover testing and balancing fume hood systems and cleanrooms and commissioning HVAC systems. Chapters 13 and 14 provide information on water systems and centrifugal pumps including water balancing procedures using flow meters system components and temperatures and water pumps and pump performance. Chapter 15 reviews analog and digital controls. Chapters 16–20 cover terminology for fluid flow psychrometrics refrigeration¸ air distribution water distribution fans and pumps motors electrical and instrument usage and care. Chapters 21 and 22 are equations and tables. | Testing and Balancing HVAC Air and Water Systems

GBP 120.00
1