Proceedings Of 3rd International Conference On Machine Learning Advances In Computing Renewable Energy And Communication
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Proceedings of 3rd International Conference on Machine Learning Advances in Computing Renewable Energy and Communication
Author | : Anuradha Tomar,Hasmat Malik,Pramod Kumar,Atif Iqbal |
Publsiher | : Springer Nature |
Total Pages | : 774 |
Release | : 2022-09-17 |
Genre | : Technology & Engineering |
ISBN | : 9789811928284 |
Download Proceedings of 3rd International Conference on Machine Learning Advances in Computing Renewable Energy and Communication Book in PDF, Epub and Kindle
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.
Machine Learning Advances in Computing Renewable Energy and Communication
Author | : Anuradha Tomar,Hasmat Malik,Pramod Kumar,Atif Iqbal |
Publsiher | : Springer Nature |
Total Pages | : 651 |
Release | : 2021-08-19 |
Genre | : Technology & Engineering |
ISBN | : 9789811623547 |
Download Machine Learning Advances in Computing Renewable Energy and Communication Book in PDF, Epub and Kindle
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.
Artificial Intelligence Blockchain Computing and Security Volume 1
Author | : Arvind Dagur,Karan Singh,Pawan Singh Mehra,Dhirendra Kumar Shukla |
Publsiher | : CRC Press |
Total Pages | : 1029 |
Release | : 2023-12-01 |
Genre | : Computers |
ISBN | : 9781003845812 |
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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.
Machine Learning and Computer Vision for Renewable Energy
Author | : Acharjya, Pinaki Pratim,Koley, Santanu,Barman, Subhabrata |
Publsiher | : IGI Global |
Total Pages | : 351 |
Release | : 2024-05-01 |
Genre | : Technology & Engineering |
ISBN | : 9798369323564 |
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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.
Renewable Power for Sustainable Growth
Author | : Hasmat Malik,Sukumar Mishra,Y. R. Sood,Atif Iqbal,Taha Selim Ustun |
Publsiher | : Springer Nature |
Total Pages | : 1012 |
Release | : 2024-01-02 |
Genre | : Technology & Engineering |
ISBN | : 9789819967490 |
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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.
Social and Ethical Implications of AI in Finance for Sustainability
Author | : Derbali, Abdelkader Mohamed Sghaier |
Publsiher | : IGI Global |
Total Pages | : 389 |
Release | : 2024-04-22 |
Genre | : Business & Economics |
ISBN | : 9798369328828 |
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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.
Proceedings of the 3rd International Conference on Electronic Engineering and Renewable Energy Systems
Author | : Hajji Bekkay,Adel Mellit,Antonio Gagliano,Abdelhamid Rabhi,Mohammed Amine Koulali |
Publsiher | : Springer Nature |
Total Pages | : 1058 |
Release | : 2023-04-11 |
Genre | : Technology & Engineering |
ISBN | : 9789811962233 |
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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.
Computer Science Engineering and Emerging Technologies
Author | : Rajeev Sobti,Rachit Garg,Ajeet Kumar Srivastava,Gurpeet Singh Shahi |
Publsiher | : CRC Press |
Total Pages | : 744 |
Release | : 2024-06-07 |
Genre | : Computers |
ISBN | : 9781040005460 |
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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.