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Life System Modeling and Simulation
  • Language: en
  • Pages: 440

Life System Modeling and Simulation

  • Type: Book
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  • Published: 2014-10-01
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  • Publisher: Springer

This book constitutes the first part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014. The 159 revised full papers presented in the three volumes of CCIS 461-463 were carefully reviewed and selected from 572 submissions. The papers of this volume are organized in topical sections on biomedical signal processing, imaging, and visualization; computational methods and intelligence in modeling genetic and chemical networks and regulation; computational methods and intelligence in o...

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
  • Language: en
  • Pages: 887

The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security ...

Intelligent Robotics and Applications
  • Language: en
  • Pages: 532

Intelligent Robotics and Applications

  • Type: Book
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  • Published: 2014-11-14
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  • Publisher: Springer

This two volume set LNAI 8917 and 8918 constitutes the refereed proceedings of the 7th International Conference on Intelligent Robotics and Applications, ICIRA 2014, held in Guangzhou, China, in December 2014. The 109 revised full papers presented were carefully reviewed and selected from 159 submissions. The papers aim at enhancing the sharing of individual experiences and expertise in intelligent robotics with particular emphasis on technical challenges associated with varied applications such as biomedical applications, industrial automations, surveillance, and sustainable mobility.

Advances in Civil Engineering: Structural Seismic Resistance, Monitoring and Detection
  • Language: en
  • Pages: 787

Advances in Civil Engineering: Structural Seismic Resistance, Monitoring and Detection

  • Type: Book
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  • Published: 2022-10-21
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  • Publisher: CRC Press

Advances in Civil Engineering: Structural Seismic Resistance, Monitoring and Detection is a collection of papers resulting from the conference on Structural Seismic Resistance, Monitoring and Detection (SSRMD 2022), Harbin, China, 21–23 January, 2022. According to the development of many new seismic theories, technologies and products, the primary goal of this conference is to promote research and developmental activities in structural seismic resistance, monitoring and detection. Moreover, another goal is to promote scientific information interchange between scholars from the top universities, business associations, research centers and high-tech enterprises working all around the world. ...

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
  • Language: en
  • Pages: 1169

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Advances in Civil Engineering and Environmental Engineering, Volume 1
  • Language: en
  • Pages: 752

Advances in Civil Engineering and Environmental Engineering, Volume 1

  • Type: Book
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  • Published: 2023-02-28
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  • Publisher: CRC Press

Advances in Civil Engineering and Environmental Engineering focuses on the research of civil engineering and environmental engineering. the proceedings feature the most cutting-edge research directions and achievements related to civil engineering and environmental. Subjects in the proceedings include: Civil engineering technology Civil engineering surveying Geological engineering Structural engineering Tunnel and bridge engineering Environmental protection materials Pollution control project Building environment and equipment engineering The works of this proceedings can promote development of civil engineering and environmental engineering, resource sharing, flexibility and high efficiency. Thereby, promote scientific information interchange between scholars from the top universities, research centers and high-tech enterprises working all around the world.

COVID-19: Surviving a Pandemic
  • Language: en
  • Pages: 225

COVID-19: Surviving a Pandemic

COVID-19: Surviving a Pandemic provides critical insights into survival strategies employed by communities and individuals around the world during the pandemic. A central question since this pandemic began has been how to survive it. That question has applied not just to staying alive, but also to staying healthy, both physically and mentally. Survival is certainly key, but surviving, and what that means, is also critical. The scholarship included in this volume will take a closer look at what it means to survive by addressing such issues as the importance of ethnicity in vaccine uptake, the gendered and racialized impacts of the pandemic, the impact on those with disabilities, questions of food security, and what it means to grieve. Drawing on the expertise of scholars from around the world, the work presented here represents a remarkable diversity and quality of impassioned scholarship on the impact of COVID-19 and is a timely and critical advance in knowledge related to the pandemic.

Man-Machine-Environment System Engineering
  • Language: en
  • Pages: 1040

Man-Machine-Environment System Engineering

This book presents selected papers introducing readers to the key research topics and latest development trends in the theory and application of MMESE. The advanced integrated research topic man-machine-environment system engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!” MMESE primarily focuses on the relationship between man, machine and environment, studying the optimum combination of man-machine-environment systems, ...

Deep Learning-Based Approaches for Sentiment Analysis
  • Language: en
  • Pages: 326

Deep Learning-Based Approaches for Sentiment Analysis

This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.