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This book discusses chemometric methods for spectroscopy analysis
including NIR, MIR, Raman, NMR, and LIBS, from the perspective of
practical applied spectroscopy. It covers all aspects of
chemometrics associated with analytical spectroscopy, including
representative sample selection algorithm, outlier detection
algorithm, model updating and maintenance algorithm and strategy
and calibration performance evaluation methods.To provide a
systematic and comprehensive overview the latest progress of
chemometric methods including recent scientific research and
practical applications are presented. In addition the book also
highlights the improvement of classical algorithms and the
extension of common strategies. It is therefore useful as a
reference book for researchers engaged in analytical spectroscopy
technology, chemometrics, analytical instruments and other related
fields.
This book first provides a comprehensive review of state-of-the-art
IoT technologies and applications in different industrial sectors
and public services. The authors give in-depth analyses of fog
computing architecture and key technologies that fulfill the
challenging requirements of enabling computing services anywhere
along the cloud-to-thing continuum. Further, in order to make IoT
systems more intelligent and more efficient, a fog-enabled service
architecture is proposed to address the latency requirements,
bandwidth limitations, and computing power issues in realistic
cross-domain application scenarios with limited priori domain
knowledge, i.e. physical laws, system statuses, operation
principles and execution rules. Based on this fog-enabled
architecture, a series of data-driven self-learning applications in
different industrial sectors and public services are investigated
and discussed, such as robot SLAM and formation control, wireless
network self-optimization, intelligent transportation system, smart
home and user behavior recognition. Finally, the advantages and
future directions of fog-enabled intelligent IoT systems are
summarized. Provides a comprehensive review of state-of-the-art IoT
technologies and applications in different industrial sectors and
public services Presents a fog-enabled service architecture with
detailed technical approaches for realistic cross-domain
application scenarios with limited prior domain knowledge Outlines
a series of data-driven self-learning applications (with new
algorithms) in different industrial sectors and public services
This book features selected papers presented at the 20th
International Conference on Near Infrared Spectroscopy. It
discusses the latest progress in the field of near infrared
spectroscopy from around the globe, including the advances in
instrumentation, spectral interpretation and Chemometrics. In
addition, it presents potential trends for near infrared
spectroscopy in the next decade and highlights developments in
process analytical technology, chemical imaging and deep learning.
It can be used as a reference book for researchers and application
personnel engaged in spectroscopy technology, Chemometrics,
analytical instruments, on-site rapid or on-line analysis, process
control and other fields. It will also be useful for undergraduates
and postgraduates studying these topics.
This book features selected papers presented at the 20th
International Conference on Near Infrared Spectroscopy. It
discusses the latest progress in the field of near infrared
spectroscopy from around the globe, including the advances in
instrumentation, spectral interpretation and Chemometrics. In
addition, it presents potential trends for near infrared
spectroscopy in the next decade and highlights developments in
process analytical technology, chemical imaging and deep learning.
It can be used as a reference book for researchers and application
personnel engaged in spectroscopy technology, Chemometrics,
analytical instruments, on-site rapid or on-line analysis, process
control and other fields. It will also be useful for undergraduates
and postgraduates studying these topics.
This book discusses chemometric methods for spectroscopy analysis
including NIR, MIR, Raman, NMR, and LIBS, from the perspective of
practical applied spectroscopy. It covers all aspects of
chemometrics associated with analytical spectroscopy, including
representative sample selection algorithm, outlier detection
algorithm, model updating and maintenance algorithm and strategy
and calibration performance evaluation methods.To provide a
systematic and comprehensive overview the latest progress of
chemometric methods including recent scientific research and
practical applications are presented. In addition the book also
highlights the improvement of classical algorithms and the
extension of common strategies. It is therefore useful as a
reference book for researchers engaged in analytical spectroscopy
technology, chemometrics, analytical instruments and other related
fields.
This book first provides a comprehensive review of state-of-the-art
IoT technologies and applications in different industrial sectors
and public services. The authors give in-depth analyses of fog
computing architecture and key technologies that fulfill the
challenging requirements of enabling computing services anywhere
along the cloud-to-thing continuum. Further, in order to make IoT
systems more intelligent and more efficient, a fog-enabled service
architecture is proposed to address the latency requirements,
bandwidth limitations, and computing power issues in realistic
cross-domain application scenarios with limited priori domain
knowledge, i.e. physical laws, system statuses, operation
principles and execution rules. Based on this fog-enabled
architecture, a series of data-driven self-learning applications in
different industrial sectors and public services are investigated
and discussed, such as robot SLAM and formation control, wireless
network self-optimization, intelligent transportation system, smart
home and user behavior recognition. Finally, the advantages and
future directions of fog-enabled intelligent IoT systems are
summarized. Provides a comprehensive review of state-of-the-art IoT
technologies and applications in different industrial sectors and
public services Presents a fog-enabled service architecture with
detailed technical approaches for realistic cross-domain
application scenarios with limited prior domain knowledge Outlines
a series of data-driven self-learning applications (with new
algorithms) in different industrial sectors and public services
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