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This book provides scientific and technological insights on novel
techniques of design and manufacturing using laser technologies. It
showcases applications of laser micromachining in the biomedical
industry, laser-based manufacturing processes in aerospace
engineering, and high-precision laser-cutting in the home appliance
sector. Features: Each chapter discusses a specific engineering
problem and showcases its numerical, and experimental solution
Provides scientific and technological insights on novel routes of
design and manufacturing using laser technologies Synergizes
exploration related to the various properties and functionalities
through extensive theoretical and numerical modeling Highlights
current issues, developments, and constraints in additive
manufacturing Discusses applications of laser cutting machines in
the manufacturing industry and laser micromachining for the
biomedical industry The text discusses optical, and laser-based
green manufacturing technologies and their application in diverse
engineering fields including mechanical, electrical, biomedical,
and computer. It further covers sustainability issues in
laser-based manufacturing technologies and the development of
laser-based ultra-precision manufacturing techniques. The text also
discusses the use of artificial intelligence and machine learning
in laser-based manufacturing techniques. It will serve as an ideal
reference text for senior undergraduate, graduate students, and
researchers in fields including mechanical engineering, aerospace
engineering, manufacturing engineering, and production engineering.
This edited book provides a comprehensive account of the
sustainable intensification process through various forms of case
studies and scientific approaches studied across the globe. It also
focuses on the agroecosystem services and their subsequent
management for ecological integrity. The book helps to understand
the interconnection of food, nutrition, economic growth, and
environmental security on the planet. It provides comprehensive
information with photographic illustration and various other forms
of scientific databases on sustainable intensification of
agroecosystems. The book also supports decision-making, strategies,
and policy formulation for effective implementation of sustainable
intensification towards higher productivity along with maintenance
and management of agroecosystem services. Proper sustainable
intensification of agroecosystem services and their management by
maintaining ecological harmony is the future prospect for
sustainable development. High input agriculture gives rise to a
high-energy footprint, agricultural pollution, resource depletion,
loss of agro-biodiversity, and decline of human health. Through
this connection, the sustainable intensification approach addresses
the advanced food security, sustainability, and overall prosperity
of humankind. The book is helpful for both undergraduate and
postgraduate students, policymakers, the farming community, as well
as the scientific community across the globe to understand the
concept of sustainable intensification and its application in
relevant fields for proper management of agroecosystems services.
This book explores the concepts and techniques of cloud security
using blockchain. Also discussed is the possibility of applying
blockchain to provide security in various domains. The authors
discuss how blockchain holds the potential to significantly
increase data privacy and security while boosting accuracy and
integrity in cloud data. The specific highlight of this book is
focused on the application of integrated technologies in enhancing
cloud security models, use cases, and its challenges. The
contributors, both from academia and industry, present their
technical evaluation and comparison with existing technologies.
This book pertains to IT professionals, researchers, and
academicians towards fourth revolution technologies.
The book presents latest research-based innovations in the field of
mechanical infrastructure presented in the International Conference
on Recent Advances in Mechanical Infrastructure (ICRAM 2021). The
broad research topics presented in this book are recent advances in
thermal infrastructure: This includes aerodynamics, renewable
energy, computational fluid dynamics, carbon dioxide capture and
sequestration, energy and thermo-fluids, fluid dynamics, fuels and
combustion, heat and mass transfer, internal combustion engine, and
refrigeration and air conditioning. Recent advances in
manufacturing infrastructure includes green manufacturing,
instrumentation and control, material characterization,
manufacturing techniques, rapid prototyping, polymers, and
composites. Recent advances in infrastructure planning and design
includes applied mechanics, bio-mechanics, computer-aided
engineering design, finite element analysis, industrial tribology,
machine design, robotics and automation, dynamics and vibration,
industrial engineering, and optimization.
The book presents latest research-based innovations in the field of
mechanical infrastructure presented in the International Conference
on Recent Advances in Mechanical Infrastructure (ICRAM 2021). The
broad research topics presented in this book are recent advances in
thermal infrastructure: This includes aerodynamics, renewable
energy, computational fluid dynamics, carbon dioxide capture and
sequestration, energy and thermo-fluids, fluid dynamics, fuels and
combustion, heat and mass transfer, internal combustion engine, and
refrigeration and air conditioning. Recent advances in
manufacturing infrastructure includes green manufacturing,
instrumentation and control, material characterization,
manufacturing techniques, rapid prototyping, polymers, and
composites. Recent advances in infrastructure planning and design
includes applied mechanics, bio-mechanics, computer-aided
engineering design, finite element analysis, industrial tribology,
machine design, robotics and automation, dynamics and vibration,
industrial engineering, and optimization.
This edited book provides a comprehensive account of the
sustainable intensification process through various forms of case
studies and scientific approaches studied across the globe. It also
focuses on the agroecosystem services and their subsequent
management for ecological integrity. The book helps to understand
the interconnection of food, nutrition, economic growth, and
environmental security on the planet. It provides comprehensive
information with photographic illustration and various other forms
of scientific databases on sustainable intensification of
agroecosystems. The book also supports decision-making, strategies,
and policy formulation for effective implementation of sustainable
intensification towards higher productivity along with maintenance
and management of agroecosystem services. Proper sustainable
intensification of agroecosystem services and their management by
maintaining ecological harmony is the future prospect for
sustainable development. High input agriculture gives rise to a
high-energy footprint, agricultural pollution, resource depletion,
loss of agro-biodiversity, and decline of human health. Through
this connection, the sustainable intensification approach addresses
the advanced food security, sustainability, and overall prosperity
of humankind. The book is helpful for both undergraduate and
postgraduate students, policymakers, the farming community, as well
as the scientific community across the globe to understand the
concept of sustainable intensification and its application in
relevant fields for proper management of agroecosystems services.
This book explores the concepts and techniques of cloud security
using blockchain. Also discussed is the possibility of applying
blockchain to provide security in various domains. The authors
discuss how blockchain holds the potential to significantly
increase data privacy and security while boosting accuracy and
integrity in cloud data. The specific highlight of this book is
focused on the application of integrated technologies in enhancing
cloud security models, use cases, and its challenges. The
contributors, both from academia and industry, present their
technical evaluation and comparison with existing technologies.
This book pertains to IT professionals, researchers, and
academicians towards fourth revolution technologies.
This book contains high-quality papers presented in the conference
Recent Advances in Mechanical Infrastructure (ICRAM 2020) held at
IITRAM, Ahmedabad, India, from 21-23 August 2020. The topics
covered in this book are recent advances in thermal infrastructure,
manufacturing infrastructure and infrastructure planning and
design.
This book contains high-quality papers presented in the conference
Recent Advances in Mechanical Infrastructure (ICRAM 2020) held at
IITRAM, Ahmedabad, India, from 21-23 August 2020. The topics
covered in this book are recent advances in thermal infrastructure,
manufacturing infrastructure and infrastructure planning and
design.
Agroforestry for Carbon and Ecosystem Management is a comprehensive
overview of current research, issues, challenges, and case studies
in the area of agroforestry. It focuses specifically on carbon
source-sink relationship and management through agroforestry
practices with the goal of improving overall environmental
sustainability. Through expert insights and case studies, the book
promotes carbon management, greenhouse gas emission reduction,
forest, and ecosystem services management along with relevant
sustainable approaches for natural resources conservation.
It provides insight into novel approaches for natural
resource management, with specific attention given to technologies
related to carbon capture and management. Agroforestry for Carbon
and Ecosystem Management also proposes possible polices and plans
for future research and implementation, the latest updates in the
area of agroforestry research for sustainability, developments in
carbon dynamics and management, addresses the knowledge gap in
relation to agroforestry, sustainability and agroecosystem
management and explores the application of remote sensing and
geospatial technology for agroforestry management.
Insightful projects to master deep learning and neural network
architectures using Python and Keras Key Features Explore deep
learning across computer vision, natural language processing (NLP),
and image processing Discover best practices for the training of
deep neural networks and their deployment Access popular deep
learning models as well as widely used neural network architectures
Book DescriptionDeep learning has been gradually revolutionizing
every field of artificial intelligence, making application
development easier. Python Deep Learning Projects imparts all the
knowledge needed to implement complex deep learning projects in the
field of computational linguistics and computer vision. Each of
these projects is unique, helping you progressively master the
subject. You'll learn how to implement a text classifier system
using a recurrent neural network (RNN) model and optimize it to
understand the shortcomings you might experience while implementing
a simple deep learning system. Similarly, you'll discover how to
develop various projects, including word vector representation,
open domain question answering, and building chatbots using
seq-to-seq models and language modeling. In addition to this,
you'll cover advanced concepts, such as regularization, gradient
clipping, gradient normalization, and bidirectional RNNs, through a
series of engaging projects. By the end of this book, you will have
gained knowledge to develop your own deep learning systems in a
straightforward way and in an efficient way What you will learn Set
up a deep learning development environment on Amazon Web Services
(AWS) Apply GPU-powered instances as well as the deep learning AMI
Implement seq-to-seq networks for modeling natural language
processing (NLP) Develop an end-to-end speech recognition system
Build a system for pixel-wise semantic labeling of an image Create
a system that generates images and their regions Who this book is
forPython Deep Learning Projects is for you if you want to get
insights into deep learning, data science, and artificial
intelligence. This book is also for those who want to break into
deep learning and develop their own AI projects. It is assumed that
you have sound knowledge of Python programming
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