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This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021), held in Krishna Engineering College, Ghaziabad, India, during 10 – 11 December, 2021. This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications.
Book Synopsis Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication by : Anuradha Tomar
Download or read book Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication written by Anuradha Tomar and published by Springer Nature. This book was released on 2022-09-17 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021), held in Krishna Engineering College, Ghaziabad, India, during 10 – 11 December, 2021. This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications.
This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.
Book Synopsis Machine Learning, Advances in Computing, Renewable Energy and Communication by : Anuradha Tomar
Download or read book Machine Learning, Advances in Computing, Renewable Energy and Communication written by Anuradha Tomar and published by Springer Nature. This book was released on 2021-08-19 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.
This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.
Book Synopsis Artificial Intelligence, Blockchain, Computing and Security Volume 1 by : Arvind Dagur
Download or read book Artificial Intelligence, Blockchain, Computing and Security Volume 1 written by Arvind Dagur and published by CRC Press. This book was released on 2023-12-01 with total page 1029 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the conference proceedings of ICABCS 2023, a non-profit conference with the objective to provide a platform that allows academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence, Blockchain, Computing and Security. It explores the recent advancement in field of Artificial Intelligence, Blockchain, Communication and Security in this digital era for novice to profound knowledge about cutting edges in artificial intelligence, financial, secure transaction, monitoring, real time assistance and security for advanced stage learners/ researchers/ academicians. The key features of this book are: Broad knowledge and research trends in artificial intelligence and blockchain with security and their role in smart living assistance Depiction of system model and architecture for clear picture of AI in real life Discussion on the role of Artificial Intelligence and Blockchain in various real-life problems across sectors including banking, healthcare, navigation, communication, security Explanation of the challenges and opportunities in AI and Blockchain based healthcare, education, banking, and related industries This book will be of great interest to researchers, academicians, undergraduate students, postgraduate students, research scholars, industry professionals, technologists, and entrepreneurs.
As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In response to this challenge, advanced Artificial Intelligence (AI) techniques are emerging as a solution, promising to revolutionize the renewable energy landscape. Machine Learning and Computer Vision for Renewable Energy presents a deep exploration of AI modeling, analysis, performance prediction, and control approaches dedicated to overcoming the pressing issues in renewable energy systems. Transitioning from the complexities of energy prediction to the promise of advanced technology, the book sets its sights on the game-changing potential of computer vision (CV) in the realm of renewable energy. Amidst the struggle to enhance sustainability across industries, CV technology emerges as a powerful ally, collecting invaluable data from digital photos and videos. This data proves instrumental in achieving better energy management, predicting factors affecting renewable energy, and optimizing overall sustainability. Readers, including researchers, academicians, and students, will find themselves immersed in a comprehensive understanding of the AI approaches and CV methodologies that hold the key to resolving the challenges faced by renewable energy systems.
Book Synopsis Machine Learning and Computer Vision for Renewable Energy by : Acharjya, Pinaki Pratim
Download or read book Machine Learning and Computer Vision for Renewable Energy written by Acharjya, Pinaki Pratim and published by IGI Global. This book was released on 2024-05-01 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the world grapples with the urgent need for sustainable energy solutions, the limitations of traditional approaches to renewable energy forecasting become increasingly evident. The demand for more accurate predictions in net load forecasting, line loss predictions, and the seamless integration of hybrid solar and battery storage systems is more critical than ever. In response to this challenge, advanced Artificial Intelligence (AI) techniques are emerging as a solution, promising to revolutionize the renewable energy landscape. Machine Learning and Computer Vision for Renewable Energy presents a deep exploration of AI modeling, analysis, performance prediction, and control approaches dedicated to overcoming the pressing issues in renewable energy systems. Transitioning from the complexities of energy prediction to the promise of advanced technology, the book sets its sights on the game-changing potential of computer vision (CV) in the realm of renewable energy. Amidst the struggle to enhance sustainability across industries, CV technology emerges as a powerful ally, collecting invaluable data from digital photos and videos. This data proves instrumental in achieving better energy management, predicting factors affecting renewable energy, and optimizing overall sustainability. Readers, including researchers, academicians, and students, will find themselves immersed in a comprehensive understanding of the AI approaches and CV methodologies that hold the key to resolving the challenges faced by renewable energy systems.
Book Synopsis Advances in Distributed Computing and Machine Learning by : Umakanta Nanda
Download or read book Advances in Distributed Computing and Machine Learning written by Umakanta Nanda and published by Springer Nature. This book was released on with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt:
The proceedings is a collection of papers presented at International Conference on Renewal Power (ICRP 2023), held during 28 – 29 March 2023 in Mewat Engineering College, Nuh, India. The book covers different topics of renewal energy sources in modern power systems. The volume focusses on smart grid technologies and applications, renewable power systems including solar PV, solar thermal, wind, power generation, transmission and distribution, transportation electrification and automotive technologies, power electronics and applications in renewable power system, energy management and control system, energy storage in modern power system, active distribution network, artificial intelligence in renewable power systems, and cyber physical systems and internet of things in smart grid and renewable power.
Book Synopsis Renewable Power for Sustainable Growth by : Hasmat Malik
Download or read book Renewable Power for Sustainable Growth written by Hasmat Malik and published by Springer Nature. This book was released on 2024-01-02 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings is a collection of papers presented at International Conference on Renewal Power (ICRP 2023), held during 28 – 29 March 2023 in Mewat Engineering College, Nuh, India. The book covers different topics of renewal energy sources in modern power systems. The volume focusses on smart grid technologies and applications, renewable power systems including solar PV, solar thermal, wind, power generation, transmission and distribution, transportation electrification and automotive technologies, power electronics and applications in renewable power system, energy management and control system, energy storage in modern power system, active distribution network, artificial intelligence in renewable power systems, and cyber physical systems and internet of things in smart grid and renewable power.
The crucial challenge of integrating sustainability into business and investment decisions is compounded by the complexity of analyzing vast and intricate datasets to make informed choices. Traditional approaches often fail to provide timely and accurate insights into environmental, social, and governance (ESG) factors, hindering progress toward a greener future. Additionally, the rapid evolution of AI and machine learning in finance has left many professionals needing help to grasp their full potential in advancing sustainability goals. With a comprehensive understanding and practical guidance, organizations can stay caught up in adopting sustainable practices and leveraging AI for financial and environmental benefits. Social and Ethical Implications of AI in Finance for Sustainability offers a timely and comprehensive solution to these challenges by thoroughly examining how AI can safely enhance sustainability in finance. The book bridges the gap between theory and practice, offering practical insights and real-world applications to empower academics, practitioners, policymakers, and students. Through a series of expertly curated chapters, readers will gain a deep understanding of the role AI plays in reshaping finance for a sustainable future. The book's instructional elements, including case studies and expert analysis, provide a roadmap for incorporating AI into sustainability strategies, enabling organizations to make informed decisions and drive positive change.
Book Synopsis Social and Ethical Implications of AI in Finance for Sustainability by : Derbali, Abdelkader Mohamed Sghaier
Download or read book Social and Ethical Implications of AI in Finance for Sustainability written by Derbali, Abdelkader Mohamed Sghaier and published by IGI Global. This book was released on 2024-04-22 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: The crucial challenge of integrating sustainability into business and investment decisions is compounded by the complexity of analyzing vast and intricate datasets to make informed choices. Traditional approaches often fail to provide timely and accurate insights into environmental, social, and governance (ESG) factors, hindering progress toward a greener future. Additionally, the rapid evolution of AI and machine learning in finance has left many professionals needing help to grasp their full potential in advancing sustainability goals. With a comprehensive understanding and practical guidance, organizations can stay caught up in adopting sustainable practices and leveraging AI for financial and environmental benefits. Social and Ethical Implications of AI in Finance for Sustainability offers a timely and comprehensive solution to these challenges by thoroughly examining how AI can safely enhance sustainability in finance. The book bridges the gap between theory and practice, offering practical insights and real-world applications to empower academics, practitioners, policymakers, and students. Through a series of expertly curated chapters, readers will gain a deep understanding of the role AI plays in reshaping finance for a sustainable future. The book's instructional elements, including case studies and expert analysis, provide a roadmap for incorporating AI into sustainability strategies, enabling organizations to make informed decisions and drive positive change.
The year 2022 marks the 100th birth anniversary of Kathleen Hylda Valerie Booth, who wrote the first assembly language and designed the assembler and auto code for the first computer systems at Birkbeck College, University of London. She helped design three different machines including the ARC (Automatic Relay Calculator), SEC (Simple Electronic Computer), and APE(X). School of Computer Science and Engineering, under the aegis of Lovely Professional University, pays homage to this great programmer of all times by hosting “BOOTH100”—6th International Conference on Computing Sciences.
Book Synopsis Computer Science Engineering and Emerging Technologies by : Rajeev Sobti
Download or read book Computer Science Engineering and Emerging Technologies written by Rajeev Sobti and published by CRC Press. This book was released on 2024-06-07 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: The year 2022 marks the 100th birth anniversary of Kathleen Hylda Valerie Booth, who wrote the first assembly language and designed the assembler and auto code for the first computer systems at Birkbeck College, University of London. She helped design three different machines including the ARC (Automatic Relay Calculator), SEC (Simple Electronic Computer), and APE(X). School of Computer Science and Engineering, under the aegis of Lovely Professional University, pays homage to this great programmer of all times by hosting “BOOTH100”—6th International Conference on Computing Sciences.
This edited collection aims to provide relevant theoretical frameworks and the latest empirical research findings in the area of business management. It covers case studies provided by teachers visiting the University of Economics in Katowice, Poland, within Erasmus and CEEPUS Programmes. Over 12 years, approximately 25 teachers have been coming year by year to Katowice, presenting their monographic lectures and participating in seminars on their research results and educational achievements. This book contains descriptions of case studies, elaborated by Erasmus and CEEPUS teachers, illustrating that the case study is a method of research as well as a method applied in education and emphasizing the value of qualitative methods by example of case studies. The key benefit of qualitative research is that it allows a researcher to perceive and understand context within which decisions and actions take place. Hence, to understand peoples’ motivations, their reasons, their actions, and the context for their beliefs and actions, qualitative research is the best route. Assuming that business organizations as well as individuals are entirely linked together via the Internet, a new approach to business communication and marketing, business modelling and management are developed to reveal an increase of business synergy effects, the alignment of information and communication technologies (ICT) and business and social value creation, as well as sustainability and environment protection. Through this book, readers have an opportunity to learn about relevance and rigor in qualitative research and how the case study can be applied in various organizational contexts.
Book Synopsis Digital Transformation, Perspective Development, and Value Creation by : Małgorzata Pańkowska
Download or read book Digital Transformation, Perspective Development, and Value Creation written by Małgorzata Pańkowska and published by Taylor & Francis. This book was released on 2023-10-02 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited collection aims to provide relevant theoretical frameworks and the latest empirical research findings in the area of business management. It covers case studies provided by teachers visiting the University of Economics in Katowice, Poland, within Erasmus and CEEPUS Programmes. Over 12 years, approximately 25 teachers have been coming year by year to Katowice, presenting their monographic lectures and participating in seminars on their research results and educational achievements. This book contains descriptions of case studies, elaborated by Erasmus and CEEPUS teachers, illustrating that the case study is a method of research as well as a method applied in education and emphasizing the value of qualitative methods by example of case studies. The key benefit of qualitative research is that it allows a researcher to perceive and understand context within which decisions and actions take place. Hence, to understand peoples’ motivations, their reasons, their actions, and the context for their beliefs and actions, qualitative research is the best route. Assuming that business organizations as well as individuals are entirely linked together via the Internet, a new approach to business communication and marketing, business modelling and management are developed to reveal an increase of business synergy effects, the alignment of information and communication technologies (ICT) and business and social value creation, as well as sustainability and environment protection. Through this book, readers have an opportunity to learn about relevance and rigor in qualitative research and how the case study can be applied in various organizational contexts.
This book includes papers presented at the 3rd International Conference on Electronic Engineering and Renewable Energy (ICEERE 2022), which focus on the application of artificial intelligence techniques, emerging technology and the Internet of things in electrical and renewable energy systems, including hybrid systems, micro-grids, networking, smart health applications, smart grid, mechatronics and electric vehicles. It particularly focuses on new renewable energy technologies for agricultural and rural areas to promote the development of the Euro-Mediterranean region. Given its scope, the book is of interest to graduate students, researchers and practicing engineers working in the fields of electronic engineering and renewable energy.
Book Synopsis Proceedings of the 3rd International Conference on Electronic Engineering and Renewable Energy Systems by : Hajji Bekkay
Download or read book Proceedings of the 3rd International Conference on Electronic Engineering and Renewable Energy Systems written by Hajji Bekkay and published by Springer Nature. This book was released on 2023-04-11 with total page 1058 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes papers presented at the 3rd International Conference on Electronic Engineering and Renewable Energy (ICEERE 2022), which focus on the application of artificial intelligence techniques, emerging technology and the Internet of things in electrical and renewable energy systems, including hybrid systems, micro-grids, networking, smart health applications, smart grid, mechatronics and electric vehicles. It particularly focuses on new renewable energy technologies for agricultural and rural areas to promote the development of the Euro-Mediterranean region. Given its scope, the book is of interest to graduate students, researchers and practicing engineers working in the fields of electronic engineering and renewable energy.
