Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies: ICoCIST 2021

This edited book presents the collection of accepted research papers from the 1st 'International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021), covering themes such as artificial intelligence, big data analysis, soft computing, pattern recognition, sustainable infrastructure, grid computing, renewable energy, and IoT innovations.

Format: Hardback
Length: 777 pages
Publication date: 13 February 2022
Publisher: Springer Verlag, Singapore

The 1st 'International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)' brought together a vibrant community of researchers, scholars, and experts from around the world to explore cutting-edge advancements in computational intelligence and sustainable technologies. In this remarkable compilation, the accepted research papers presented at the conference are showcased, offering a comprehensive insight into the latest developments and innovations in these fields.

Artificial Intelligence in Machine Learning:

Machine learning is a rapidly evolving field that leverages artificial intelligence to enable computers to learn from data and make predictions. The articles in this section delve into various aspects of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Researchers explore the use of neural networks, deep learning, and other advanced algorithms to solve complex problems and improve the efficiency of various applications.

Big Data Analysis:

With the exponential growth of data, big data analysis has become an essential tool for extracting valuable insights and making informed decisions. The articles in this section explore the techniques and methodologies used to analyze large datasets, including data mining, data visualization, and machine learning algorithms. Researchers discuss the challenges and opportunities associated with big data analysis, such as data privacy, data quality, and data integration.

Soft Computing Techniques:

Soft computing techniques are a set of computational methods that aim to solve complex problems with efficiency and accuracy. The articles in this section explore the use of soft computing techniques in various applications, such as image processing, pattern recognition, and optimization. Researchers discuss the advantages of soft computing techniques over traditional hard computing methods, such as their ability to handle non-linear problems and their robustness to noise.

Pattern Recognition:

Pattern recognition is a fundamental aspect of artificial intelligence that involves the identification and classification of patterns in data. The articles in this section explore the use of various algorithms and techniques for pattern recognition, including neural networks, genetic algorithms, and machine learning algorithms. Researchers discuss the applications of pattern recognition in fields such as medical imaging, finance, and security.

Sustainable Infrastructural Development:

Sustainable infrastructure development is crucial for meeting the growing demand for resources while minimizing environmental impact. The articles in this section explore the use of sustainable technologies and practices in infrastructure development, such as renewable energy, smart grids, and sustainable construction materials. Researchers discuss the challenges and opportunities associated with sustainable infrastructure development, such as cost-effectiveness, scalability, and public acceptance.

Sustainable Grid Computing:

Sustainable grid computing is a novel approach to managing and optimizing energy resources in power grids. The articles in this section explore the use of grid computing technologies, such as cloud computing, big data analysis, and machine learning algorithms, to improve the efficiency, reliability, and sustainability of power grids. Researchers discuss the challenges and opportunities associated with sustainable grid computing, such as energy management, grid security, and renewable energy integration.

Innovative Technology for Societal Development:

Innovative technology plays a vital role in societal development by addressing social, economic, and environmental challenges. The articles in this section explore the use of innovative technologies in various fields, such as healthcare, education, agriculture, and transportation. Researchers discuss the potential benefits and challenges associated with innovative technology, such as accessibility, affordability, and sustainability.

Renewable Energy:

Renewable energy is a crucial component of sustainable development, as it provides a clean and sustainable source of energy for the future. The articles in this section explore the use of renewable energy technologies, such as solar, wind, hydro, and geothermal energy, to reduce greenhouse gas emissions and promote energy independence. Researchers discuss the challenges and opportunities associated with renewable energy, such as cost-effectiveness, scalability, and energy storage.

Innovations in Internet of Things (IoT):

The Internet of Things (IoT) is a rapidly evolving technology that connects devices and enables them to communicate and exchange data. The articles in this section explore the use of IoT technologies in various applications, such as smart homes, smart cities, and healthcare. Researchers discuss the challenges and opportunities associated with IoT, such as data security, privacy, and scalability.

In conclusion, the 1st 'International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)' was a remarkable event that brought together a diverse group of experts from various fields. The collection of accepted research papers presented in this edited book offers a comprehensive insight into the latest advancements and innovations in computational intelligence and sustainable technologies. The articles cover a wide range of topics, from artificial intelligence in machine learning to big data analysis, soft computing techniques, pattern recognition, sustainable infrastructure development, sustainable grid computing, innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).

These research papers highlight the significant contributions made by researchers and scholars in these fields, and they provide valuable insights for future research and development. The conference also fostered a strong sense of collaboration and networking among participants, which will undoubtedly lead to further advancements in these areas.
The 1st 'International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)' brought together a vibrant community of researchers, scholars, and experts from around the world to explore cutting-edge advancements in computational intelligence and sustainable technologies. In this remarkable compilation, the accepted research papers presented at the conference are showcased, offering a comprehensive insight into the latest developments and innovations in these fields.

Artificial Intelligence in Machine Learning:

Machine learning is a rapidly evolving field that leverages artificial intelligence to enable computers to learn from data and make predictions. The articles in this section delve into various aspects of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Researchers explore the use of neural networks, deep learning, and other advanced algorithms to solve complex problems and improve the efficiency of various applications.

Big Data Analysis:

With the exponential growth of data, big data analysis has become an essential tool for extracting valuable insights and making informed decisions. The articles in this section explore the techniques and methodologies used to analyze large datasets, including data mining, data visualization, and machine learning algorithms. Researchers discuss the challenges and opportunities associated with big data analysis, such as data privacy, data quality, and data integration.

Soft Computing Techniques:

Soft computing techniques are a set of computational methods that aim to solve complex problems with efficiency and accuracy. The articles in this section explore the use of soft computing techniques in various applications, such as image processing, pattern recognition, and optimization. Researchers discuss the advantages of soft computing techniques over traditional hard computing methods, such as their ability to handle non-linear problems and their robustness to noise.

Pattern Recognition:

Pattern recognition is a fundamental aspect of artificial intelligence that involves the identification and classification of patterns in data. The articles in this section explore the use of various algorithms and techniques for pattern recognition, including neural networks, genetic algorithms, and machine learning algorithms. Researchers discuss the applications of pattern recognition in fields such as medical imaging, finance, and security.

Sustainable Infrastructural Development:

Sustainable infrastructure development is crucial for meeting the growing demand for resources while minimizing environmental impact. The articles in this section explore the use of sustainable technologies and practices in infrastructure development, such as renewable energy, smart grids, and sustainable construction materials. Researchers discuss the challenges and opportunities associated with sustainable infrastructure development, such as cost-effectiveness, scalability, and public acceptance.

Sustainable Grid Computing:

Sustainable grid computing is a novel approach to managing and optimizing energy resources in power grids. The articles in this section explore the use of grid computing technologies, such as cloud computing, big data analysis, and machine learning algorithms, to improve the efficiency, reliability, and sustainability of power grids. Researchers discuss the challenges and opportunities associated with sustainable grid computing, such as energy management, grid security, and renewable energy integration.

Innovative Technology for Societal Development:

Innovative technology plays a vital role in societal development by addressing social, economic, and environmental challenges. The articles in this section explore the use of innovative technologies in various fields, such as healthcare, education, agriculture, and transportation. Researchers discuss the potential benefits and challenges associated with innovative technology, such as accessibility, affordability, and sustainability.

Renewable Energy:

Renewable energy is a crucial component of sustainable development, as it provides a clean and sustainable source of energy for the future. The articles in this section explore the use of renewable energy technologies, such as solar, wind, hydro, and geothermal energy, to reduce greenhouse gas emissions and promote energy independence. Researchers discuss the challenges and opportunities associated with renewable energy, such as cost-effectiveness, scalability, and energy storage.

Innovations in Internet of Things (IoT):

The Internet of Things (IoT) is a rapidly evolving technology that connects devices and enables them to communicate and exchange data. The articles in this section explore the use of IoT technologies in various applications, such as smart homes, smart cities, and healthcare. Researchers discuss the challenges and opportunities associated with IoT, such as data security, privacy, and scalability.

In conclusion, the 1st 'International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)' was a remarkable event that brought together a diverse group of experts from various fields. The collection of accepted research papers presented in this edited book offers a comprehensive insight into the latest advancements and innovations in computational intelligence and sustainable technologies. The articles cover a wide range of topics, from artificial intelligence in machine learning to big data analysis, soft computing techniques, pattern recognition, sustainable infrastructure development, sustainable grid computing, innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).

These research papers highlight the significant contributions made by researchers and scholars in these fields, and they provide valuable insights for future research and development. The conference also fostered a strong sense of collaboration and networking among participants, which will undoubtedly lead to further advancements in these areas.

Weight: 1358g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811668920
Edition number: 1st ed. 2022