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 techniques, pattern recognition, sustainable infrastructure development, sustainable grid computing, renewable energy, and IoT innovations.

Format: Paperback / softback
Length: 777 pages
Publication date: 14 February 2023
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:

The book delves into the realm of artificial intelligence, specifically focusing on its applications in machine learning. The articles explore various techniques, such as deep learning, neural networks, and machine vision, to address complex problems and enhance the efficiency of machine learning algorithms. The authors discuss the challenges and opportunities associated with AI in machine learning, including the development of robust models, data augmentation, and interpretability.

Big Data Analysis:

Big data has become an indispensable tool in today's world, and the book explores its potential for sustainable development. The articles examine the challenges and opportunities of big data analysis in various domains, such as healthcare, environmental science, and social sciences. The authors discuss the use of advanced analytics techniques, such as data mining, machine learning, and natural language processing, to extract valuable insights and make informed decisions.

Soft Computing Techniques:

Soft computing techniques are gaining popularity due to their ability to solve complex problems with efficiency and accuracy. The book includes articles that explore the application of soft computing techniques in areas such as image processing, pattern recognition, and optimization. The authors discuss the advantages of soft computing over traditional computing methods, such as its robustness, adaptability, and scalability.

Pattern Recognition:

Pattern recognition is a fundamental aspect of computational intelligence, and the book showcases the latest research in this field. The articles explore various techniques, such as neural networks, genetic algorithms, and machine learning, to recognize patterns in data and make predictions. The authors discuss the challenges and opportunities associated with pattern recognition, including the development of accurate models, data augmentation, and interpretability.

Sustainable Infrastructural Development:

Sustainable infrastructure development is crucial for meeting the growing demands of society while minimizing environmental impact. The book includes articles that explore the use of computational intelligence in designing and optimizing sustainable infrastructure systems, such as transportation, energy, and water. The authors discuss the challenges and opportunities associated with sustainable infrastructure development, including the development of smart cities, renewable energy sources, and sustainable construction materials.

Sustainable Grid Computing:

Sustainable grid computing is an emerging field that aims to optimize the use of energy and resources in power grids. The book includes articles that explore the use of computational intelligence in developing efficient algorithms for managing energy demand, renewable energy integration, and grid stability. The authors discuss the challenges and opportunities associated with sustainable grid computing, including the development of resilient and secure grid systems.

Innovative Technology for Societal Development:

Innovative technology plays a vital role in societal development, and the book includes articles that explore the use of computational intelligence in various domains, such as education, healthcare, and social welfare. The authors discuss the challenges and opportunities associated with innovative technology, including the development of personalized learning systems, telemedicine, and social assistance programs.

Renewable Energy:

Renewable energy is a key component of sustainable development, and the book includes articles that explore the use of computational intelligence in developing efficient and cost-effective renewable energy systems. The authors discuss the challenges and opportunities associated with renewable energy, including the development of renewable energy sources, energy storage technologies, and grid integration.

Innovations in Internet of Things (IoT):

The Internet of Things (IoT) has revolutionized the way we interact with the world, and the book includes articles that explore the latest innovations in this field. The articles discuss the use of computational intelligence in developing intelligent systems, such as smart homes, smart cities, and wearable devices. The authors discuss the challenges and opportunities associated with IoT, including the development of secure communication protocols, data privacy, and user engagement.

In conclusion, the 1st 'International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)' was a resounding success, bringing together a diverse group of experts and enthusiasts to explore the frontiers of computational intelligence and sustainable technologies. This edited book serves as a valuable resource for researchers, scholars, and practitioners in these fields, providing a comprehensive overview of the latest advancements and innovations. The contributions made by the authors and presenters at the conference have laid the foundation for future research and development, shaping the trajectory of computational intelligence and sustainable technologies.

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:

The book delves into the realm of artificial intelligence, specifically focusing on its applications in machine learning.

The articles explore various techniques, such as deep learning, neural networks, and machine vision, to address complex problems and enhance the efficiency of machine learning algorithms.

The authors discuss the challenges and opportunities associated with AI in machine learning, including the development of robust models, data augmentation, and interpretability.

Big Data Analysis:

Big data has become an indispensable tool in today's world, and the book explores its potential for sustainable development.

The articles examine the challenges and opportunities of big data analysis in various domains, such as healthcare, environmental science, and social sciences.

The authors discuss the use of advanced analytics techniques, such as data mining, machine learning, and natural language processing, to extract valuable insights and make informed decisions.

Soft Computing Techniques:

Soft computing techniques are gaining popularity due to their ability to solve complex problems with efficiency and accuracy.

The book includes articles that explore the application of soft computing techniques in areas such as image processing, pattern recognition, and optimization.

The authors discuss the advantages of soft computing over traditional computing methods, such as its robustness, adaptability, and scalability.

Pattern Recognition:

Pattern recognition is a fundamental aspect of computational intelligence, and the book showcases the latest research in this field.

The articles explore various techniques, such as neural networks, genetic algorithms, and machine learning, to recognize patterns in data and make predictions.

The authors discuss the challenges and opportunities associated with pattern recognition, including the development of accurate models, data augmentation, and interpretability.

Sustainable Infrastructural Development:

Sustainable infrastructure development is crucial for meeting the growing demands of society while minimizing environmental impact.

The book includes articles that explore the use of computational intelligence in designing and optimizing sustainable infrastructure systems, such as transportation, energy, and water.

The authors discuss the challenges and opportunities associated with sustainable infrastructure development, including the development of smart cities, renewable energy sources, and sustainable construction materials.

Sustainable Grid Computing:

Sustainable grid computing is an emerging field that aims to optimize the use of energy and resources in power grids.

The book includes articles that explore the use of computational intelligence in developing efficient algorithms for managing energy demand, renewable energy integration, and grid stability.

The authors discuss the challenges and opportunities associated with sustainable grid computing, including the development of resilient and secure grid systems.

Innovative Technology for Societal Development:

Innovative technology plays a vital role in societal development, and the book includes articles that explore the use of computational intelligence in various domains, such as education, healthcare, and social welfare.

The authors discuss the challenges and opportunities associated with innovative technology, including the development of personalized learning systems, telemedicine, and social assistance programs.

Renewable Energy:

Renewable energy is a key component of sustainable development, and the book includes articles that explore the use of computational intelligence in developing efficient and cost-effective renewable energy systems.

The authors discuss the challenges and opportunities associated with renewable energy, including the development of renewable energy sources, energy storage technologies, and grid integration.

Innovations in Internet of Things (IoT):

The Internet of Things (IoT) has revolutionized the way we interact with the world, and the book includes articles that explore the latest innovations in this field.

The articles discuss the use of computational intelligence in developing intelligent systems, such as smart homes, smart cities, and wearable devices.

The authors discuss the challenges and opportunities associated with IoT, including the development of secure communication protocols, data privacy, and user engagement.

In conclusion, the 1st 'International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)' was a resounding success, bringing together a diverse group of experts and enthusiasts to explore the frontiers of computational intelligence and sustainable technologies.

This edited book serves as a valuable resource for researchers, scholars, and practitioners in these fields, providing a comprehensive overview of the latest advancements and innovations.

The contributions made by the authors and presenters at the conference have laid the foundation for future research and development, shaping the trajectory of computational intelligence and sustainable technologies.

Weight: 1205g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811668951
Edition number: 1st ed. 2022