The code coverage, being the factor of focus on unit testing that tells us which part of the source code is tested or untested. If the code consists of abstract classes or interfaces, they are also to be tested to ens...
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As a result of the enhancement of mechanical and thermal properties, Metal matrix Composites (MMC) has shown enormous potentials as a likely material for various aerospace and automotive applications. Thermomechanical...
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DIGITAL CITIES ROADMAP This book details applications of technology to efficient digital city infrastructure and its planning, including smart *** urbanization, demographic changes, environmental changes, and new tech...
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ISBN:
(数字)9781119792055;9781119792062
ISBN:
(纸本)9781119791591
DIGITAL CITIES ROADMAP This book details applications of technology to efficient digital city infrastructure and its planning, including smart *** urbanization, demographic changes, environmental changes, and new technologies are changing the views of urban leaders on sustainability, as well as creating and providing public services to tackle these new dynamics. Sustainable development is an objective by which the processes of planning, implementing projects, and development is aimed at meeting the needs of modern communities without compromising the potential of future generations. The advent of Smart Cities is the answer to these *** Cities Roadmap provides an in-depth analysis of design technologies that lay a solid foundation for sustainable buildings. The book also highlights smart automation technologies that help save energy, as well as various performance indicators needed to make construction easier. The book aims to create a strong research community, to have a deep understanding and the latest knowledge in the field of energy and comfort, to offer solid ideas in the nearby future for sustainable and resilient buildings. These buildings will help the city grow as a smart city. The smart city has also a focus on low energy consumption, renewable energy, and a small carbon *** information provided in this book will be of value to researchers, academicians and industry professionals interested in IoT-based architecture and sustainable buildings, energy efficiency and various tools and methods used to develop green technologies for construction in smart cities.
SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (IoT) has emerged as a powerful and promi...
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ISBN:
(数字)9781119792239;9781119792246
ISBN:
(纸本)9781119791683
SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (IoT) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the IoT has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the IoT connects cyberspace to physical space, known as a cyber-physical system, IoT attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security. The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies. Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. Audience: Researchers and industry engineers in information tec
Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to b...
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ISBN:
(数字)9781119769217;9781119769224
ISBN:
(纸本)9781119768845
Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world"s economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc. Agricultural Informatics: Automation Using the IoT and Machine learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.
MACHINE learning TECHNIQUES AND analytics FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The a...
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ISBN:
(数字)9781119764113
ISBN:
(纸本)9781119762256
MACHINE learning TECHNIQUES AND analytics FOR CLOUD SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine learning Techniques and analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.
Credit risk assessment is acting as a survival weapon in almost every financial institution. It involves an in-depth and sensitive analysis of various economic, social, demographic, and other pertinent data provided b...
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ISBN:
(纸本)9783030390334;9783030390327
Credit risk assessment is acting as a survival weapon in almost every financial institution. It involves an in-depth and sensitive analysis of various economic, social, demographic, and other pertinent data provided by the customers and about the customers for building a more accurate and robust electronic finance system. The classification problem is one of the primary concerns in the process of analyzing the gamut of data;however, its complexity has ignited us to use machine learning-based approaches. In this paper, radial basis function neural network (RBFNN) with particle swarm optimization (RBFNN + PSO) and improved particle swarm optimization tuned radial basis function neural network (RBFNN + IMPSO) learning algorithms have been studied and compared their effectiveness for credit risk assessment. The experimental findings draw a clear line between the proposed model and traditional learning algorithms. Moreover, the proposed method is very promising vis-a-vis of individual classifiers.
Parkinson's disease (PD), an intensifying neurological disorder is predominantly because of failing dopaminergic neurons of the midbrain. Dopamine is involved in sending of messages to those parts that controls co...
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ISBN:
(纸本)9783030390334;9783030390327
Parkinson's disease (PD), an intensifying neurological disorder is predominantly because of failing dopaminergic neurons of the midbrain. Dopamine is involved in sending of messages to those parts that controls coordination and movement in brain. With the help of Machine learning approaches, it sets a base for an intelligent system that helps in computer-aided diagnosis of PD patients. Machine learning is used for early diagnosis and prediction so that it can be utilized to treat the disease quicker. In medicinal science, it is visible that outputs from the imaging devices can be incorporated for predicting a disease better. The paper specifies a brief synopsis of Machine learning techniques along with MRI data which can yield faster prediction of PD.
Gene expression indicates the amount of mRNA produced by a gene under a particular biological condition. Genes responsible for changes in biological conditions of an organism will have different gene expression values...
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ISBN:
(纸本)9783030390334;9783030390327
Gene expression indicates the amount of mRNA produced by a gene under a particular biological condition. Genes responsible for changes in biological conditions of an organism will have different gene expression values across different conditions. Gene expression analysis is useful in the domain of transcriptomic studies to analyse functions of and interactions among different molecules inside a cell. A significant analysis is that of a differential gene, that is a gene that exhibits strong change in behaviour between two or more conditions. Thus behavioural cell changes can be attributed to the differentially expressed genes. Statistical distributional properties in the read counts that constitute RNA-seq data are used for detecting the differentially expressed genes. In this paper we provide a comparison study of different tools which aid in RNA-seq based differential expression. It is important to note how the results of these tools differ and which tool provides more statistically significant results for the same.
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