Optimizing Biofuel Production With Artificial Intelligence
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Optimizing Biofuel Production With Artificial Intelligence
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Author : Arindam Kuila
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-11
Optimizing Biofuel Production With Artificial Intelligence written by Arindam Kuila and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Computers categories.
Optimizing Biofuel Production with Artificial Intelligence will help readers discover how integrating artificial intelligence with biotechnological advancements can revolutionize biofuel production, ensuring a sustainable energy future in response to pressing global challenges like pollution and climate change. This book presents artificial intelligence as a technique to aid the production of biofuels. Recently, tremendous developments have been made in energy and environmental biotechnologies, spurred by societal issues like pollution control, energy security, and climate change. Energy can be obtained from a variety of sources, including coal, oil, natural gas, solar, wind, and nuclear energy. The need to transition to new energy results from finite resources and economic sustainability. Biotechnological process optimization is crucial for ensuring a quality final product and boosting bioconversion performance efficiency. When combined with traditional simulation and modeling methods, artificial intelligence and computer technology can help define ideal process parameters and save total process costs. The energy sector can benefit from artificial intelligence in several ways, including increased asset efficiency, early detection and assessment of wildfire risks, assistance with vegetation management and storm recovery, and optimized energy use. The new frontier for energy is biomass.
Optimizing Biofuel Production With Artificial Intelligence
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Author : Arindam Kuila
language : en
Publisher: John Wiley & Sons
Release Date : 2025-05-06
Optimizing Biofuel Production With Artificial Intelligence written by Arindam Kuila and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.
Optimizing Biofuel Production with Artificial Intelligence will help readers discover how integrating artificial intelligence with biotechnological advancements can revolutionize biofuel production, ensuring a sustainable energy future in response to pressing global challenges like pollution and climate change. This book presents artificial intelligence as a technique to aid the production of biofuels. Recently, tremendous developments have been made in energy and environmental biotechnologies, spurred by societal issues like pollution control, energy security, and climate change. Energy can be obtained from a variety of sources, including coal, oil, natural gas, solar, wind, and nuclear energy. The need to transition to new energy results from finite resources and economic sustainability. Biotechnological process optimization is crucial for ensuring a quality final product and boosting bioconversion performance efficiency. When combined with traditional simulation and modeling methods, artificial intelligence and computer technology can help define ideal process parameters and save total process costs. The energy sector can benefit from artificial intelligence in several ways, including increased asset efficiency, early detection and assessment of wildfire risks, assistance with vegetation management and storm recovery, and optimized energy use. The new frontier for energy is biomass.
Artificial Intelligence For Renewable Energy Systems
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Author : Ajay Kumar Vyas
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-02
Artificial Intelligence For Renewable Energy Systems written by Ajay Kumar Vyas and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-02 with Computers categories.
ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.
Biofuel Production Performance And Emission Optimization
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Author : Manjunath Patel G. C.
language : en
Publisher: Springer Nature
Release Date : 2025-03-17
Biofuel Production Performance And Emission Optimization written by Manjunath Patel G. C. and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Mathematics categories.
This book explores the urgent quest for sustainable energy solutions by examining potential renewable energy sources that meet global demands. As fossil fuels deplete at an alarming rate, this book addresses the critical challenges in selecting sustainable feedstocks and optimizing processes for industrial-scale biodiesel production. With a focus on Garcinia-gummi-gutta seeds as a promising feedstock, the book provides a detailed analysis of oil extraction, biofuel conversion, and the practical application of biodiesel in diesel engines. Key concepts explored include selecting and optimizing transesterification variables, engine performance, and emission characteristics. The authors employ cutting-edge tools such as statistical design of experiments and artificial intelligence to offer insights into biodiesel production's physics, kinetics, and mechanics. Readers will discover experimental results, intelligent modeling techniques, and optimization strategies that enhance biodiesel yield and engine efficiency while minimizing emissions. This resource is designed for engineers and researchers in renewable energy and biofuel production. It offers a systematic framework from feedstock selection to engine optimization, making it invaluable for those seeking to advance their knowledge in sustainable energy solutions. Whether you're a novice or a seasoned professional, this book provides the tools and insights needed to drive innovation in biodiesel production at an industrial scale.
Computer Vision And Machine Intelligence For Renewable Energy Systems
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Author : Ashutosh Kumar Dubey
language : en
Publisher: Elsevier
Release Date : 2024-09-20
Computer Vision And Machine Intelligence For Renewable Energy Systems written by Ashutosh Kumar Dubey and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-20 with Technology & Engineering categories.
Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source
Intelligent Transportation System And Advanced Technology
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Author : Ram Krishna Upadhyay
language : en
Publisher: Springer Nature
Release Date : 2024-03-13
Intelligent Transportation System And Advanced Technology written by Ram Krishna Upadhyay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-13 with Technology & Engineering categories.
This book explores the recent advancements in intelligent transportation sector. In today's rapidly evolving world, transportation plays a pivotal role in shaping our societies and economies. As the demands on our transportation systems continue to grow, there is an increasing need for innovative solutions to enhance efficiency, safety, and sustainability. This book provides a comprehensive and up-to-date exploration of the intersection between transportation and cutting-edge technology. It offers a thorough examination of the various facets of Intelligent Transportation Systems (ITS) and advanced technologies applied to the transportation sector. It analyzes the latest trends, technologies, and developments that are shaping the future of transportation, including AI, IoT, and smart infrastructure. It provides practical insights, case studies, and real-world examples to help transportation professionals and researchers understand how advanced technology can be applied to address transportation challenges. It discusses the policy and regulatory considerations surrounding the implementation of advanced transportation technologies and explores the potential future developments and advancements in the field, including the impact of emerging technologies.
Biofuel Advancements
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Author : Priya Reddy
language : en
Publisher: Publifye AS
Release Date : 2025-02-28
Biofuel Advancements written by Priya Reddy and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Technology & Engineering categories.
Biofuel Advancements explores whether biofuels can truly replace fossil fuels, examining their role in creating a sustainable energy landscape. The book delves into the science, environmental impact, and technological innovations driving biofuel production. It highlights the environmental footprint of biofuels, addressing concerns like land and water use, while also showcasing advancements like genetic engineering and optimized conversion processes. Did you know that biofuels offer a pathway to mitigate climate change, but only if developed responsibly? The book emphasizes that targeted research and policy interventions are crucial to unlocking the full potential of biofuels. The book progresses logically, starting with the fundamentals of biofuel chemistry and production. It then analyzes the challenges and opportunities associated with different feedstocks and technologies. The environmental and economic implications are also considered, providing a balanced view of the benefits and drawbacks. By adopting a fact-based, analytical tone, Biofuel Advancements presents complex information clearly, making it accessible to students, researchers, policymakers, and anyone interested in sustainable energy and biofuel technology. It uniquely focuses on sustainable production methods, offering insights into how careful resource management can minimize environmental impacts.
A Biologist S Guide To Artificial Intelligence
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Author : Ambreen Hamadani
language : en
Publisher: Elsevier
Release Date : 2024-02-29
A Biologist S Guide To Artificial Intelligence written by Ambreen Hamadani and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Science categories.
A Biologist's Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist's perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future.This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. - Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning - Equips with new data mining strategies an easy interface into the world of Artificial Intelligence - Enables researchers to enhance their own sphere of researching Artificial Intelligence
Artificial Intelligence In Microbiology Scope And Challenges Volume Ii
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Author :
language : en
Publisher: Elsevier
Release Date : 2025-02-06
Artificial Intelligence In Microbiology Scope And Challenges Volume Ii written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-06 with Science categories.
Artificial Intelligence in Microbiology: Scope and Challenges, Volume-II, Volume 56 covers changes due to the emergence of Artificial Intelligence (AI). AI is being used to analyze massive data in a predictable form, about the behavior of microorganisms, to solve microbial classification-related problems, and more. Chapters include Taking on the resistance: AI and battle against antimicrobial resistance, AI-powered insights into microbial communities for bioremediation strategies, Efficient and cost-effective production of viral vaccines via AI, Production and development of novel drug targets through AI, Use of AI in neuroscience, Role of Artificial Intelligence in studying metagenomics of Microbes: Decoding the microbial Sphere, and more.Other chapters explore Exploring the functional role of bacterial proteins via AI, Application of AI in Aquaculture/Fisheries: Disease identification, detection, diagnosis, drug development, Artificial Intelligence in drug discovery & development; scope and challenges, Production of bacteriocins by AI: as food preservative, Exploring the Role of Artificial Intelligence in the Microbial remediation of heavy metals, Uses of Artificial Intelligence in the Agricultural Pest Management, Microbial fermentation processes using Artificial Intelligence, and more. - Uncovers extended functions of AI in microbiology - Includes topics surrounding the production and development of novel drug targets through AI - Presents the existing challenges for using and selecting appropriate AI tools in health, agriculture, and in the food sector
Intelligent Solutions For Sustainable Power Grids
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Author : Ashok Kumar, L.
language : en
Publisher: IGI Global
Release Date : 2024-05-01
Intelligent Solutions For Sustainable Power Grids written by Ashok Kumar, L. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Computers categories.
In the environment of energy systems, the effective utilization of both conventional and renewable sources poses a major challenge. The integration of microgrid systems, crucial for harnessing energy from distributed sources, demands intricate solutions due to the inherent intermittency of these sources. Academic scholars engaged in power system research find themselves at the forefront of addressing issues such as energy source estimation, coordination in dynamic environments, and the effective utilization of artificial intelligence (AI) techniques. Intelligent Solutions for Sustainable Power Grids focuses on emerging research areas, this book addresses the uncertainty of renewable energy sources, employs state-of-the-art forecasting techniques, and explores the application of AI techniques for enhanced power system operations. From economic aspects to the digitalization of power systems, the book provides a holistic approach. Tailored for undergraduate and postgraduate students as well as seasoned researchers, it offers a roadmap to navigate the intricate landscape of modern power systems. Dive into a wealth of knowledge encompassing smart energy systems, renewable energy integration, stability analysis of microgrids, power quality enhancement, and much more. This book is not just a guide; it is the solution to the pressing challenges in the dynamic field of energy systems.