2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT) PDF Download
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Author: IEEE Staff
Publisher:
ISBN: 9781728181240
Category :
Languages : en
Pages :
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Book Description
2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT2020) will be held during November 13 15, 2020 in Dalian, China It is the eighth forum for the presentation of new advances and research results in a wide variety of scientific areas with a common interest in improving Future Computer Science, Network Technology and Communication related techniques ICCSNT2011 (Dec 24 26, 2011), ICCSNT2012 (Dec 29 31, 2012), ICCSNT2013 (Oct 12 14, 2013), ICCSNT2015 (Dec 20 22, 2015), ICCSNT2016 (Dec 10 11, 2016), ICCSNT2017 (Oct 21 22, 2017) and ICCSNT2019 (Oct 19 20, 2019) were successfully held respectively and all the accepted more than 1700 papers from ICCSNT conferences have been included in IEEE Xplore and indexed by EI Compendex
Author: IEEE Staff
Publisher:
ISBN: 9781728181240
Category :
Languages : en
Pages :
Get Book Here
Book Description
2020 IEEE 8th International Conference on Computer Science and Network Technology (ICCSNT2020) will be held during November 13 15, 2020 in Dalian, China It is the eighth forum for the presentation of new advances and research results in a wide variety of scientific areas with a common interest in improving Future Computer Science, Network Technology and Communication related techniques ICCSNT2011 (Dec 24 26, 2011), ICCSNT2012 (Dec 29 31, 2012), ICCSNT2013 (Oct 12 14, 2013), ICCSNT2015 (Dec 20 22, 2015), ICCSNT2016 (Dec 10 11, 2016), ICCSNT2017 (Oct 21 22, 2017) and ICCSNT2019 (Oct 19 20, 2019) were successfully held respectively and all the accepted more than 1700 papers from ICCSNT conferences have been included in IEEE Xplore and indexed by EI Compendex
Author: Xiaoting Rui
Publisher: Springer Nature
ISBN: 9819980488
Category :
Languages : en
Pages : 4383
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Book Description
Author: Joy Iong-Zong Chen
Publisher: Springer Nature
ISBN: 3031124138
Category : Technology & Engineering
Languages : en
Pages : 855
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Book Description
This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations. Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031474511
Category : Technology & Engineering
Languages : en
Pages : 630
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Book Description
This book is a collection of thoroughly well-researched studies presented at the Eighth Future Technologies Conference. This annual conference aims to seek submissions from the wide arena of studies like Computing, Communication, Machine Vision, Artificial Intelligence, Ambient Intelligence, Security, and e-Learning. With an impressive 490 paper submissions, FTC emerged as a hybrid event of unparalleled success, where visionary minds explored groundbreaking solutions to the most pressing challenges across diverse fields. These groundbreaking findings open a window for vital conversation on information technologies in our community especially to foster future collaboration with one another. We hope that the readers find this book interesting and inspiring and render their enthusiastic support toward it.
Author: De-Shuang Huang
Publisher: Springer Nature
ISBN: 3030845222
Category : Computers
Languages : en
Pages : 913
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Book Description
This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” The papers are organized in the following subsections: Evolutionary Computation and Learning, Image and signal Processing, Information Security, Neural Networks, Pattern Recognition Swarm Intelligence and Optimization, and Virtual Reality and Human-Computer Interaction.
Author: Deepak Gupta
Publisher: Springer Nature
ISBN: 9811928215
Category : Technology & Engineering
Languages : en
Pages : 793
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Book Description
This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Author: M. Rubaiyat Hossain Mondal
Publisher: CRC Press
ISBN: 1000777715
Category : Medical
Languages : en
Pages : 267
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Book Description
The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-making models, risk profiling of cohorts, and remote treatment. Applying these technologies runs against challenges including interoperability, lack of unified structure for eHealth, and data privacy and security. Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics examines multiple models and solutions for various settings including individual, home, work, and society. The world’s healthcare systems are battling the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to surmount these challenges. This book focuses on the design and implementation of AI-based approaches in the proposed COVID-19 solutions that are enabled and supported by IoMT, sensor networks, cloud and edge computing, robotics, and analytics. It covers technologies under the umbrella of AI that include data science, big data, machine learning (ML), semantic technologies, analytics, and cyber security. Highlights of the book include: Epidemic forecasting models Surveillance and tracking systems IoMT and Internet of Healthcare Things-based integrated systems for COVID-19 Social network analysis systems Radiological image- based diagnosis systems Computational intelligence methods This reference work is beneficial for interdisciplinary students, researchers, and healthcare and technology professionals who need to know how computational intelligence could be used for surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease.
Author: Ranjeet Kumar Rout
Publisher: CRC Press
ISBN: 1000778681
Category : Technology & Engineering
Languages : en
Pages : 345
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Book Description
This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: • Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. • Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. • Presents the application of evolutionary computations for fractal visualization of sequence data. • Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. • Examines the roles of efficient computational techniques in biology.
Author: Behrouz Zolfaghari
Publisher: Springer Nature
ISBN: 3031448073
Category : Technology & Engineering
Languages : en
Pages : 229
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Book Description
This book studies the intersection between cryptography and AI, highlighting the significant cross-impact and potential between the two technologies. The authors first study the individual ecosystems of cryptography and AI to show the omnipresence of each technology in the ecosystem of the other one. Next, they show how these technologies have come together in collaborative or adversarial ways. In the next section, the authors highlight the coevolution being formed between cryptography and AI. Throughout the book, the authors use evidence from state-of-the-art research to look ahead at the future of the crypto-AI dichotomy. The authors explain how they anticipate that quantum computing will join the dichotomy in near future, augmenting it to a trichotomy. They verify this through two case studies highlighting another scenario wherein crypto, AI and quantum converge. The authors study current trends in chaotic image encryption as well as information-theoretic cryptography and show how these trends lean towards quantum-inspired artificial intelligence (QiAI). After concluding the discussions, the authors suggest future research for interested researchers.
Author: Mohamad Yusoff bin Alias
Publisher: Springer Nature
ISBN: 9464630825
Category : Technology & Engineering
Languages : en
Pages : 424
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Book Description
This is an open access book.The Multimedia University Engineering Conference 2022 (MECON 2022) aims to bring together related research scholars, educators, practitioners, policy makers, enthusiasts, fellow students, and industries to share and exchange their research experiences and results on all aspects of engineering technologies from various perspectives, disciplines, and fields. It also offers an interdisciplinary platform for all stakeholders to present and discuss the most latest trends, innovations, and concerns as well as practical challenges encountered, and solutions adopted in the realm of engineering technologies. This conference is being co-organised by the Faculty of Engineering (FOE) and Faculty of Engineering and Technology (FET), Multimedia University. MECON 2022 carries the theme `Sustainable Engineering for a Sustainable Future’.
