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This book features selected high-quality research papers presented
at the International Conference on Machine Intelligence and Signal
Processing (MISP 2019), held at the Indian Institute of Technology,
Allahabad, India, on September 7-10, 2019. The book covers the
latest advances in the fields of machine learning, big data
analytics, signal processing, computational learning theory, and
their real-time applications. The topics covered include support
vector machines (SVM) and variants like least-squares SVM (LS-SVM)
and twin SVM (TWSVM), extreme learning machine (ELM), artificial
neural network (ANN), and other areas in machine learning. Further,
it discusses the real-time challenges involved in processing big
data and adapting the algorithms dynamically to improve the
computational efficiency. Lastly, it describes recent developments
in processing signals, for instance, signals generated from IoT
devices, smart systems, speech, and videos and addresses biomedical
signal processing: electrocardiogram (ECG) and electroencephalogram
(EEG).
India is showing incredibly strong appearance in Information
Technology (IT) sector worldwide, but the benefits of IT revolution
have not actually percolated into the everyday life of the common
man, particularly in rural areas. National E Governance Plan is a
major initiative of the Government of India, the first time under
which a concerted effort is being made to take Information
Technology to the masses in areas of concern to the common man. It
aims to make services available online, ensuring that all citizens
would have access to them, thereby improving the quality of basic
governance on an unprecedented scale. This book attempts to
disseminate information about several E Governance projects and
possible Data Mining benefits which are the future of good
governance in India. Strategic Management of these projects through
Data Mining would certainly encourage policy makers to understand
better models of E Governance, thorough evaluation of projects,
perceptive interrelations between projects, keeping track of the
objectives and outcomes and to develop a more collaborative
approach towards implementation of the National e- Governance Plan.
This revolutionary approach will help the government in assessing
the upcoming requirements and developing competencies for further
project management, thereby making a difference in the lives of
millions. It will help innovators to find out optimum solutions to
achieve the end objectives of E Governance. Technical topics
discussed in the book include: * E Governance * Fundamental of
Data, Data Warehousing, Data Mining, E Governance * World Wide
Status of E Governance * Status of E Governance projects in India *
E Governance Data Management Framework * E Governance Data Center *
Perspective Application of Data Warehousing and Data Mining in E
Governance * Case Studies on Education and Health Data Mining * E
Governance Data Mining Applications in Various Government
Departments, Public Sector, Private Sector * SWOT and PESTLE
Analysis for Data Warehousing, Data Mining, E Governance Data
Warehousing and Data Mining are related technologies which have
seen a significant boost in the last decades, in a way that many of
their concepts and techniques have reached a significant level of
maturity. They are applied today in most fields of human activity,
from commercial to scientific or industrial areas. Today, decision
support, data mining, trend analysis and pattern discovery have a
large impact on businesses and science alike. Given this evolution,
it is important to understand the potential advantages of Data
Mining and Data Warehousing and their positive effects on E
Governance applications. The book "E Governance Data Center, Data
Warehousing and Data Mining: Vision to Realities" is useful for
students, application developers, government officials, policy
makers, as well as researchers involved in E Governance and Data
Mining Applications. This book presents an overall picture of the E
Governance Data Mining applications, including Data Management
Framework, Data Center and Data Warehousing applications along with
possible research directions. An important motivation for writing
this book was the need to build an organized framework for E
Governance using Data Mining-a challenging task, owing to the
extensive multidisciplinary nature of this fastdeveloping field. We
hope that this book will encourage people with different
backgrounds and experiences to exchange their views regarding Data
Mining applications in E Governance so as to contribute toward the
establishment of good governance for the developed society.
This book covers the latest advancements in the areas of machine
learning, computer vision, pattern recognition, computational
learning theory, big data analytics, network intelligence, signal
processing, and their applications in real world. The topics
covered in machine learning involve feature extraction, variants
of support vector machine (SVM), extreme learning machine
(ELM), artificial neural network (ANN), and other areas in
machine learning. The mathematical analysis of computer vision and
pattern recognition involves the use of geometric techniques,
scene understanding and modeling from video, 3D object recognition,
localization and tracking, medical image analysis, and so on.
Computational learning theory involves different kinds of learning
like incremental, online, reinforcement, manifold, multitask,
semi-supervised, etc. Further, it covers the real-time challenges
involved while processing big data analytics and stream processing
with the integration of smart data computing services and
interconnectivity. Additionally, it covers the recent developments
to network intelligence for analyzing the network information
and thereby adapting the algorithms dynamically to improve the
efficiency. In the last, it includes the progress in signal
processing to process the normal and abnormal categories of
real-world signals, for instance signals generated from IoT
devices, smart systems, speech, videos, etc., and involves
biomedical signal processing: electrocardiogram (ECG),
electroencephalogram (EEG), magnetoencephalography (MEG), and
electromyogram (EMG).
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Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VII (1st ed. 2023)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
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R3,025
Discovery Miles 30 250
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Ships in 10 - 15 working days
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The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the
refereed proceedings of the 29th International Conference on Neural
Information Processing, ICONIP 2022, held as a virtual event,
November 22–26, 2022. The 213 papers presented in the
proceedings set were carefully reviewed and selected from 810
submissions. They were organized in topical sections as follows:
Theory and Algorithms; Cognitive Neurosciences; Human Centered
Computing; and Applications. The ICONIP conference aims to provide
a leading international forum for researchers, scientists, and
industry professionals who are working in neuroscience, neural
networks, deep learning, and related fields to share their new
ideas, progress, and achievements.
|
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part VI (1st ed. 2023)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
|
R3,560
Discovery Miles 35 600
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Ships in 10 - 15 working days
|
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the
refereed proceedings of the 29th International Conference on Neural
Information Processing, ICONIP 2022, held as a virtual event,
November 22–26, 2022. The 213 papers presented in the
proceedings set were carefully reviewed and selected from 810
submissions. They were organized in topical sections as follows:
Theory and Algorithms; Cognitive Neurosciences; Human Centered
Computing; and Applications. The ICONIP conference aims to provide
a leading international forum for researchers, scientists, and
industry professionals who are working in neuroscience, neural
networks, deep learning, and related fields to share their new
ideas, progress, and achievements.
|
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part V (1st ed. 2023)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
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R3,033
Discovery Miles 30 330
|
Ships in 10 - 15 working days
|
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the
refereed proceedings of the 29th International Conference on Neural
Information Processing, ICONIP 2022, held as a virtual event,
November 22–26, 2022. The 213 papers presented in the
proceedings set were carefully reviewed and selected from 810
submissions. They were organized in topical sections as follows:
Theory and Algorithms; Cognitive Neurosciences; Human Centered
Computing; and Applications. The ICONIP conference aims to provide
a leading international forum for researchers, scientists, and
industry professionals who are working in neuroscience, neural
networks, deep learning, and related fields to share their new
ideas, progress, and achievements.
|
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part II (1st ed. 2023)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
|
R2,489
Discovery Miles 24 890
|
Ships in 10 - 15 working days
|
The three-volume set LNCS 13623, 13624, and 13625 constitutes the
refereed proceedings of the 29th International Conference on Neural
Information Processing, ICONIP 2022, held as a virtual event,
November 22–26, 2022. The 146 papers presented in the proceedings
set were carefully reviewed and selected from 810 submissions. They
were organized in topical sections as follows: Theory and
Algorithms; Cognitive Neurosciences; Human Centered Computing; and
Applications. The ICONIP conference aims to provide a leading
international forum for researchers, scientists, and industry
professionals who are working in neuroscience, neural networks,
deep learning, and related fields to share their new ideas,
progress, and achievements.
|
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part III (1st ed. 2023)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
|
R3,307
Discovery Miles 33 070
|
Ships in 10 - 15 working days
|
The three-volume set LNCS 13623, 13624, and 13625 constitutes the
refereed proceedings of the 29th International Conference on Neural
Information Processing, ICONIP 2022, held as a virtual event,
November 22–26, 2022. The 146 papers presented in the
proceedings set were carefully reviewed and selected from 810
submissions. They were organized in topical sections as follows:
Theory and Algorithms; Cognitive Neurosciences; Human Centered
Computing; and Applications. The ICONIP conference aims to provide
a leading international forum for researchers, scientists, and
industry professionals who are working in neuroscience, neural
networks, deep learning, and related fields to share their new
ideas, progress, and achievements.
This book covers the latest advancements in the areas of machine
learning, computer vision, pattern recognition, computational
learning theory, big data analytics, network intelligence, signal
processing, and their applications in real world. The topics
covered in machine learning involve feature extraction, variants of
support vector machine (SVM), extreme learning machine (ELM),
artificial neural network (ANN), and other areas in machine
learning. The mathematical analysis of computer vision and pattern
recognition involves the use of geometric techniques, scene
understanding and modeling from video, 3D object recognition,
localization and tracking, medical image analysis, and so on.
Computational learning theory involves different kinds of learning
like incremental, online, reinforcement, manifold, multitask,
semi-supervised, etc. Further, it covers the real-time challenges
involved while processing big data analytics and stream processing
with the integration of smart data computing services and
interconnectivity. Additionally, it covers the recent developments
to network intelligence for analyzing the network information and
thereby adapting the algorithms dynamically to improve the
efficiency. In the last, it includes the progress in signal
processing to process the normal and abnormal categories of
real-world signals, for instance signals generated from IoT
devices, smart systems, speech, videos, etc., and involves
biomedical signal processing: electrocardiogram (ECG),
electroencephalogram (EEG), magnetoencephalography (MEG), and
electromyogram (EMG).
|
Big Data Analytics - 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings (Paperback, 1st ed. 2021)
Satish Narayana Srirama, Jerry Chun-Wei Lin, Raj Bhatnagar, Sonali Agarwal, P. Krishna Reddy
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R2,345
Discovery Miles 23 450
|
Ships in 10 - 15 working days
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This book constitutes the proceedings of the 8th International
Conference on Big Data Analytics, BDA 2021, which took place during
December 2021. Due to COVID-19 pandemic the conference was held
virtually. The 16 full and 3 short papers included in this volume
were carefully reviewed and selected from 41 submissions. The
contributions were organized in topical sections named as follows:
medical and health applications; machine/deep learning; IoTs,
sensors, and networks; fundamentation; pattern mining and data
analytics.
|
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part IV (1st ed. 2023)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
|
R2,908
Discovery Miles 29 080
|
Ships in 12 - 17 working days
|
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the
refereed proceedings of the 29th International Conference on Neural
Information Processing, ICONIP 2022, held as a virtual event,
November 22–26, 2022.  The 213 papers presented in
the proceedings set were carefully reviewed and selected from 810
submissions. They were organized in topical sections as follows:
Theory and Algorithms; Cognitive Neurosciences; Human Centered
Computing; and Applications. The ICONIP conference aims to provide
a leading international forum for researchers, scientists, and
industry professionals who are working in neuroscience, neural
networks, deep learning, and related fields to share their new
ideas, progress, and achievements.
|
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part I (1st ed. 2023)
Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt
|
R2,625
Discovery Miles 26 250
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Ships in 12 - 17 working days
|
The three-volume set LNCS 13623, 13624, and 13625 constitutes the
refereed proceedings of the 29th International Conference on Neural
Information Processing, ICONIP 2022, held as a virtual event,
November 22–26, 2022. The 146 papers presented in the proceedings
set were carefully reviewed and selected from 810 submissions. They
were organized in topical sections as follows: Theory and
Algorithms; Cognitive Neurosciences; Human Centered Computing; and
Applications. The ICONIP conference aims to provide a leading
international forum for researchers, scientists, and industry
professionals who are working in neuroscience, neural networks,
deep learning, and related fields to share their new ideas,
progress, and achievements.
|
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