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Winner of the "Outstanding Academic Title" recognition by Choice
for the 2020 OAT Awards. The Choice OAT Award represents the
highest caliber of scholarly titles that have been reviewed by
Choice and conveys the extraordinary recognition of the academic
community. The book discusses varied topics pertaining to advanced
or up-to-date techniques in medical imaging using artificial
intelligence (AI), image recognition (IR) and machine learning (ML)
algorithms/techniques. Further, coverage includes analysis of chest
radiographs (chest x-rays) via stacked generalization models, TB
type detection using slice separation approach, brain tumor image
segmentation via deep learning, mammogram mass separation,
epileptic seizures, breast ultrasound images, knee joint x-ray
images, bone fracture detection and labeling, and diabetic
retinopathy. It also reviews 3D imaging in biomedical applications
and pathological medical imaging.
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Recent Trends in Image Processing and Pattern Recognition - Third International Conference, RTIP2R 2020, Aurangabad, India, January 3-4, 2020, Revised Selected Papers, Part I (Paperback, 1st ed. 2021)
K. C. Santosh, Bharti Gawali
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R3,046
Discovery Miles 30 460
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Ships in 10 - 15 working days
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This two-volume set constitutes the refereed proceedings of the
Third International Conference on Recent Trends in Image Processing
and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India,
in January 2020.The 78 revised full papers presented were carefully
reviewed and selected from 329 submissions. The papers are
organized in topical sections in the two volumes. Part I: Computer
vision and applications; Data science and machine learning;
Document understanding and Recognition. Part II: Healthcare
informatics and medical imaging; Image analysis and recognition;
Signal processing and pattern recognition; Image and signal
processing in Agriculture.
The book aims to outline the issues of AI and COVID-19, involving
predictions,medical support decision-making, and possible impact on
human life. Starting withmajor COVID-19 issues and challenges, it
takes possible AI-based solutions forseveral problems, such as
public health surveillance, early (epidemic) prediction,COVID-19
positive case detection, and robotics integration against
COVID-19.Beside mathematical modeling, it includes the necessity of
changes in innovationsand possible COVID-19 impacts. The book
covers a clear understanding of AI-driven tools and techniques,
where pattern recognition, anomaly detection, machinelearning, and
data analytics are considered. It aims to include the wide range
ofaudiences from computer science and engineering to healthcare
professionals.
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Recent Trends in Image Processing and Pattern Recognition - Second International Conference, RTIP2R 2018, Solapur, India, December 21-22, 2018, Revised Selected Papers, Part I (Paperback, 1st ed. 2019)
K. C. Santosh, Ravindra S Hegadi
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R3,101
Discovery Miles 31 010
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Ships in 10 - 15 working days
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This three-volume set constitutes the refereed proceedings of the
Second International Conference on Recent Trends in Image
Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur,
India, in December 2018.The 173 revised full papers presented were
carefully reviewed and selected from 374 submissions. The papers
are organized in topical sections in the tree volumes. Part I:
computer vision and pattern recognition; machine learning and
applications; and image processing. Part II: healthcare and medical
imaging; biometrics and applications. Part III: document image
analysis; image analysis in agriculture; and data mining,
information retrieval and applications.
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Recent Trends in Image Processing and Pattern Recognition - Second International Conference, RTIP2R 2018, Solapur, India, December 21-22, 2018, Revised Selected Papers, Part III (Paperback, 1st ed. 2019)
K. C. Santosh, Ravindra S Hegadi
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R3,109
Discovery Miles 31 090
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Ships in 10 - 15 working days
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This three-book set constitutes the refereed proceedings of the
Second International Conference on Recent Trends in Image
Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur,
India, in December 2018.The 173 revised full papers presented were
carefully reviewed and selected from 374 submissions. The papers
are organized in topical sections in the tree volumes. Part I:
computer vision and pattern recognition; machine learning and
applications; and image processing. Part II: healthcare and medical
imaging; biometrics and applications. Part III: document image
analysis; image analysis in agriculture; and data mining,
information retrieval and applications.
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Recent Trends in Image Processing and Pattern Recognition - Second International Conference, RTIP2R 2018, Solapur, India, December 21-22, 2018, Revised Selected Papers, Part II (Paperback, 1st ed. 2019)
K. C. Santosh, Ravindra S Hegadi
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R2,787
Discovery Miles 27 870
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Ships in 10 - 15 working days
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This three-book set constitutes the refereed proceedings of the
Second International Conference on Recent Trends in Image
Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur,
India, in December 2018.The 173 revised full papers presented were
carefully reviewed and selected from 374 submissions. The papers
are organized in topical sections in the tree volumes. Part I:
computer vision and pattern recognition; machine learning and
applications; and image processing. Part II: healthcare and medical
imaging; biometrics and applications. Part III: document image
analysis; image analysis in agriculture; and data mining,
information retrieval and applications.
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Recent Trends in Image Processing and Pattern Recognition - First International Conference, RTIP2R 2016, Bidar, India, December 16-17, 2016, Revised Selected Papers (Paperback, 1st ed. 2017)
K. C. Santosh, Mallikarjun Hangarge, Vitoantonio Bevilacqua, Atul Negi
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R2,950
Discovery Miles 29 500
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Ships in 10 - 15 working days
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This book constitutes the refereed proceedings of the First
International Conference on Recent Trends in Image Processing and
Pattern Recognition, RTIP2R 2016, held in Bidar, Karnataka, India,
in December 2016. The 39 revised full papers presented were
carefully reviewed and selected from 99 submissions. The papers are
organized in topical sections on document analysis; pattern
analysis and machine learning; image analysis; biomedical image
analysis; biometrics.
Document Processing Using Machine Learning aims at presenting a
handful of resources for students and researchers working in the
document image analysis (DIA) domain using machine learning since
it covers multiple document processing problems. Starting with an
explanation of how Artificial Intelligence (AI) plays an important
role in this domain, the book further discusses how different
machine learning algorithms can be applied for
classification/recognition and clustering problems regardless the
type of input data: images or text. In brief, the book offers
comprehensive coverage of the most essential topics, including: *
The role of AI for document image analysis * Optical character
recognition * Machine learning algorithms for document analysis *
Extreme learning machines and their applications * Mathematical
foundation for Web text document analysis * Social media data
analysis * Modalities for document dataset generation This book
serves both undergraduate and graduate scholars in Computer
Science/Information Technology/Electrical and Computer Engineering.
Further, it is a great fit for early career research scientists and
industrialists in the domain.
This book presents the proceedings of the 3rd International
Conference on Artificial Intelligence and Computer Vision
(AICV’2023) which will be held in Marrakesh, Morocco, during
March 05–07, 2023. This international conference, which
highlighted essential research and developments in the fields of
artificial intelligence and computer visions, was organized by the
computer, Networks, Mobility and Modeling Laboratory (IR2M),
Faculty of Sciences and Techniques, Hassan First University,
Settat, Morocco, the Scientific Research Group in Egypt (SRGE),
Cairo University, and the Automated Systems & Soft Computing
Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia. The
book is divided into sections, covering the following topics:
swarm-based optimization mining and data analysis, deep learning
and applications, machine learning and applications, image
processing and computer vision, sentiment analysis, and
recommendation systems, and software-defined network and
telecommunication.
AI has contributed a lot and biometrics is no exception. To make AI
solutions commercialized/fully functional, one requires trustworthy
and explainable AI (XAI) solutions while respecting ethical issues.
Within the scope of biometrics, the book aims at both revisiting
ethical AI principles by taking into account state-of-the-art
AI-guided tools and their responsibilities i.e., responsible AI.
With this, the long-term goal is to connect with how we can enhance
research communities that effectively integrate computational
expertise (with both explainability and ethical issues). It helps
combat complex and elusive global security challenges that address
our national concern in understanding and disrupting the illicit
economy.
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Recent Trends in Image Processing and Pattern Recognition - 4th International Conference, RTIP2R 2021, Msida, Malta, December 8-10, 2021, Revised Selected Papers (Paperback, 1st ed. 2022)
K. C. Santosh, Ravindra Hegadi, Umapada Pal
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R2,486
Discovery Miles 24 860
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Ships in 10 - 15 working days
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This volume constitutes the refereed proceedings of the 4th
International Conference on Recent Trends in Image Processing and
Pattern Recognition, RTIP2R 2021, held in Msida, Malta, in December
2021. Due to the COVID-19 pandemic the conference was held online.
The 19 full papers and 14 short papers presented were carefully
reviewed and selected from 84 submissions. The papers are organized
in the following topical sections: healthcare: medical imaging and
informatics; computer vision and pattern recognition; document
analysis and recognition; signal processing and machine learning;
satellite imaging and remote sensing.
This book discusses and evaluates AI and machine learning (ML)
algorithms in dealing with challenges that are primarily related to
public health. It also helps find ways in which we can measure
possible consequences and societal impacts by taking the following
factors into account: open public health issues and common AI
solutions (with multiple case studies, such as TB and SARS:
COVID-19), AI in sustainable health care, AI in precision medicine
and data privacy issues. Public health requires special attention
as it drives economy and education system. COVID-19 is an example-a
truly infectious disease outbreak. The vision of WHO is to create
public health services that can deal with abovementioned crucial
challenges by focusing on the following elements: health
protection, disease prevention and health promotion. For these
issues, in the big data analytics era, AI and ML tools/techniques
have potential to improve public health (e.g., existing healthcare
solutions and wellness services). In other words, they have proved
to be valuable tools not only to analyze/diagnose pathology but
also to accelerate decision-making procedure especially when we
consider resource-constrained regions.
Deep Learning Models for Medical Imaging explains the concepts of
Deep Learning (DL) and its importance in medical imaging and/or
healthcare using two different case studies: a) cytology image
analysis and b) coronavirus (COVID-19) prediction, screening, and
decision-making, using publicly available datasets in their
respective experiments. Of many DL models, custom Convolutional
Neural Network (CNN), ResNet, InceptionNet and DenseNet are used.
The results follow 'with' and 'without' transfer learning
(including different optimization solutions), in addition to the
use of data augmentation and ensemble networks. DL models for
medical imaging are suitable for a wide range of readers starting
from early career research scholars, professors/scientists to
industrialists.
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Recent Trends in Image Processing and Pattern Recognition - Third International Conference, RTIP2R 2020, Aurangabad, India, January 3-4, 2020, Revised Selected Papers, Part II (Paperback, 1st ed. 2021)
K. C. Santosh, Bharti Gawali
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R1,589
Discovery Miles 15 890
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Ships in 10 - 15 working days
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This two-volume set constitutes the refereed proceedings of the
Third International Conference on Recent Trends in Image Processing
and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India,
in January 2020.The 78 revised full papers presented were carefully
reviewed and selected from 329 submissions. The papers are
organized in topical sections in the two volumes. Part I: Computer
vision and applications; Data science and machine learning;
Document understanding and Recognition. Part II: Healthcare
informatics and medical imaging; Image analysis and recognition;
Signal processing and pattern recognition; Image and signal
processing in Agriculture.
This book discusses intelligent systems and methods to prevent
further spread of COVID-19, including artificial intelligence,
machine learning, computer vision, signal processing, pattern
recognition, and robotics. It not only explores detection/screening
of COVID-19 positive cases using one type of data, such as
radiological imaging data, but also examines how data
analytics-based tools can help predict/project future pandemics. In
addition, it highlights various challenges and opportunities, like
social distancing, and addresses issues such as data collection,
privacy, and security, which affect the robustness of AI-driven
tools. Also investigating data-analytics-based tools for
projections using time series data, pattern analysis tools for
unusual pattern discovery (anomaly detection) in image data, as
well as AI-enabled robotics and its possible uses, the book will
appeal to a broad readership, including academics, researchers and
industry professionals.
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Recent Trends in Image Processing and Pattern Recognition - 5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Revised Selected Papers (Paperback, 1st ed. 2022)
K. C. Santosh, Ayush Goyal, Djamila Aouada, Aaisha Makkar, Yao-Yi Chiang, …
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R2,331
Discovery Miles 23 310
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Ships in 12 - 17 working days
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This book constitutes the refereed proceedings of the 5th
International Conference on Recent Trends in Image Processing and
Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in
collaboration with the Applied AI Research Laboratory of the
University of South Dakota, during December 01-02, 2022. The 31
full papers included in this book were carefully reviewed and
selected from 69 submissions. They were organized in topical
sections as follows: healthcare: medical imaging and informatics;
computer vision and pattern recognition; internet of things and
security; and signal processing and machine learning.
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