Advanced Computational Techniques for Sustainable Computing

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Publisher : Chapman & Hall/CRC
ISBN 13 : 9780367495220
Total Pages : 336 pages
Book Rating : 4.4/5 (952 download)

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Book Synopsis Advanced Computational Techniques for Sustainable Computing by : Megha Rathi

Download or read book Advanced Computational Techniques for Sustainable Computing written by Megha Rathi and published by Chapman & Hall/CRC. This book was released on 2022 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable computing is considered multi-disciplinary field encompassing advanced computational techniques across several domains and the core idea is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, recycling, ecological balance, biological sustenance on societal contexts

Advanced Computational Techniques for Sustainable Computing

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Author :
Publisher : CRC Press
ISBN 13 : 1000454312
Total Pages : 336 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Advanced Computational Techniques for Sustainable Computing by : Megha Rathi

Download or read book Advanced Computational Techniques for Sustainable Computing written by Megha Rathi and published by CRC Press. This book was released on 2022-06-08 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Computational Techniques for Sustainable Computing is considered multi-disciplinary field encompassing advanced computational techniques across several domain, including, Computer Science, Statistical Computation and Electronics Engineering. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. The book offers comprehensive coverage of the most essential topics, and: Provides insight on building smart sustainable solutions Includes details of applying mining, learning, IOT and sensor-based techniques for sustainable computing Entails data extraction from various sources followed with pre-processing of data, and how to make effective use of extracted data for application-based research Involves practical usage of data analytic language, including R, Python, etc. for improving sustainable services offered by multi-disciplinary domains Encompasses comparison and analysis of recent technologies and trends Includes development of smart models for information gain and effective decision making with visualization The readers would get acquainted with the utilization of massive data sets for intelligent mining and processing. It includes the integration of data mining techniques for effective decision-making in the social, economic, and global environmental domains to achieve sustainability. The implementation of computational frameworks can be accomplished using open-source software for the building of resource-efficient models. The content of the book demonstrates the usage of data science and the internet of things for the advent of smart and realistic solutions for attaining sustainability.

Advanced Computational Techniques for Renewable Energy Systems

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Publisher : Springer Nature
ISBN 13 : 3031212169
Total Pages : 844 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advanced Computational Techniques for Renewable Energy Systems by : Mustapha Hatti

Download or read book Advanced Computational Techniques for Renewable Energy Systems written by Mustapha Hatti and published by Springer Nature. This book was released on 2023-02-13 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.

Microbial Data Intelligence and Computational Techniques for Sustainable Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 981999621X
Total Pages : 398 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Microbial Data Intelligence and Computational Techniques for Sustainable Computing by : Aditya Khamparia

Download or read book Microbial Data Intelligence and Computational Techniques for Sustainable Computing written by Aditya Khamparia and published by Springer Nature. This book was released on with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Microbial Data Intelligence and Computational Techniques for Sustainable Computing

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Author :
Publisher : Springer
ISBN 13 : 9789819996209
Total Pages : 0 pages
Book Rating : 4.9/5 (962 download)

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Book Synopsis Microbial Data Intelligence and Computational Techniques for Sustainable Computing by : Aditya Khamparia

Download or read book Microbial Data Intelligence and Computational Techniques for Sustainable Computing written by Aditya Khamparia and published by Springer. This book was released on 2024-03-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techniques. Microbes are ubiquitous in nature, and their interactions among each other are important for colonizing diverse habitats. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. Chapters in this book explore the conventional methods as well as the most recently recognized high-throughput technologies which are important for productive agroecosystems to feed the growing global population. This book is of interest to teachers, researchers, microbiologist, computer bioinformatics scientists, plant and environmental scientist, and those interested in environment stewardship around the world. The book also serves as an advanced textbook material for undergraduate and graduate students of computer science, biomedicine, agriculture, human science, forestry, ecology, soil science, and environmental sciences and policy makers.

Intelligent Decision Support Systems for Sustainable Computing

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Author :
Publisher : Springer
ISBN 13 : 3319531530
Total Pages : 289 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Intelligent Decision Support Systems for Sustainable Computing by : Arun Kumar Sangaiah

Download or read book Intelligent Decision Support Systems for Sustainable Computing written by Arun Kumar Sangaiah and published by Springer. This book was released on 2017-03-14 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective. Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms. The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be exploited to create effectual computing systems, and addresses sustainability problems in computing and information processing environments and technologies at the different levels of CI paradigms. An excellent guide to surveying the state of the art in computational intelligence applied to challenging real-world problems in sustainable computing, it is intended for scientists, practitioners, researchers and academicians dealing with the new challenges and advances in area.

Computational Intelligence and Sustainable Systems

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Author :
Publisher : Springer
ISBN 13 : 3030026744
Total Pages : 304 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Computational Intelligence and Sustainable Systems by : H. Anandakumar

Download or read book Computational Intelligence and Sustainable Systems written by H. Anandakumar and published by Springer. This book was released on 2018-12-14 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research related to computational intelligence and energy and thermal aware management of computing resources. The authors publish original and timely research in current areas of power, energy, temperature, and environmental engineering as and advances in computational intelligence that are benefiting the fields. Topics include signal processing architectures, algorithms, and applications; biomedical informatics and computation; artificial intelligence and machine learning; green technologies in information; and more. The book includes contributions from a wide range of researchers, academicians, and industry professionals. The book is made up both of extended papers presented at the International Conference on Intelligent Computing and Sustainable System (ICICSS 2018), September 20-21, 2018, and other accepted papers on R&D and original research work related to the practice and theory of technologies to enable and support Intelligent Computing applications.

Artificial Intelligence and Sustainable Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 9819914310
Total Pages : 737 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Artificial Intelligence and Sustainable Computing by : Manjaree Pandit

Download or read book Artificial Intelligence and Sustainable Computing written by Manjaree Pandit and published by Springer Nature. This book was released on 2023-10-25 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at 4th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2022) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 19 to 20, 2022. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Advanced Computational Methods in Mechanical and Materials Engineering

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Author :
Publisher : CRC Press
ISBN 13 : 1000483045
Total Pages : 350 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Advanced Computational Methods in Mechanical and Materials Engineering by : Ashwani Kumar

Download or read book Advanced Computational Methods in Mechanical and Materials Engineering written by Ashwani Kumar and published by CRC Press. This book was released on 2021-11-23 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides in-depth knowledge to solve engineering, geometrical, mathematical, and scientific problems with the help of advanced computational methods with a focus on mechanical and materials engineering. Divided into three subsections covering design and fluids, thermal engineering and materials engineering, each chapter includes exhaustive literature review along with thorough analysis and future research scope. Major topics covered pertains to computational fluid dynamics, mechanical performance, design, and fabrication including wide range of applications in industries as automotive, aviation, electronics, nuclear and so forth. Covers computational methods in design and fluid dynamics with a focus on computational fluid dynamics Explains advanced material applications and manufacturing in labs using novel alloys and introduces properties in material Discusses fabrication of graphene reinforced magnesium metal matrix for orthopedic applications Illustrates simulation and optimization gear transmission, heat sink and heat exchangers application Provides unique problem-solution approach including solutions, methodology, experimental setup, and results validation This book is aimed at researchers, graduate students in mechanical engineering, computer fluid dynamics,fluid mechanics, computer modeling, machine parts, and mechatronics.

Artificial Intelligence and Sustainable Computing for Smart City

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Author :
Publisher : Springer Nature
ISBN 13 : 3030823229
Total Pages : 301 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence and Sustainable Computing for Smart City by : Arun Solanki

Download or read book Artificial Intelligence and Sustainable Computing for Smart City written by Arun Solanki and published by Springer Nature. This book was released on 2021-07-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected and revised papers of the First International Conference on Artificial Intelligence and Sustainable Computing for Smart City, AIS2C2 2021, held in Greater Noida, India, in March 2021. Due to the COVID-19 pandemic the conference was held online. The 17 full papers and 3 short papers included were thoroughly reviewed and selected from 204 submissions. They are organized in the following topical sections: ​sentimental and emotions analysis for smart cities; smart specialization strategies for smart cities; security in smart cities; advances applications for future smart cities; healthcare in smart cities; machine learning applications in smart cities.

Deep Learning for Sustainable Agriculture

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Publisher : Academic Press
ISBN 13 : 0323903622
Total Pages : 408 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Deep Learning for Sustainable Agriculture by : Ramesh Chandra Poonia

Download or read book Deep Learning for Sustainable Agriculture written by Ramesh Chandra Poonia and published by Academic Press. This book was released on 2022-01-09 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain

Advanced Computational Methods in Life System Modeling and Simulation

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Author :
Publisher : Springer
ISBN 13 : 9811063702
Total Pages : 615 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Advanced Computational Methods in Life System Modeling and Simulation by : Minrui Fei

Download or read book Advanced Computational Methods in Life System Modeling and Simulation written by Minrui Fei and published by Springer. This book was released on 2017-09-01 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Artificial Intelligence-based Healthcare Systems

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Publisher : Springer Nature
ISBN 13 : 3031419251
Total Pages : 208 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence-based Healthcare Systems by : Manju

Download or read book Artificial Intelligence-based Healthcare Systems written by Manju and published by Springer Nature. This book was released on 2023-12-02 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores new applications in the field of science and technology for healthcare systems. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to serve the major population of rural areas. Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions. It also helps the readers at various levels of knowledge to further enhance their understanding for new tools and smart solutions.

Advanced Computational Methods in Mechanical and Materials Engineering

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Author :
Publisher : CRC Press
ISBN 13 : 1000483029
Total Pages : 343 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Advanced Computational Methods in Mechanical and Materials Engineering by : Ashwani Kumar

Download or read book Advanced Computational Methods in Mechanical and Materials Engineering written by Ashwani Kumar and published by CRC Press. This book was released on 2021-11-23 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides in-depth knowledge to solve engineering, geometrical, mathematical, and scientific problems with the help of advanced computational methods with a focus on mechanical and materials engineering. Divided into three subsections covering design and fluids, thermal engineering and materials engineering, each chapter includes exhaustive literature review along with thorough analysis and future research scope. Major topics covered pertains to computational fluid dynamics, mechanical performance, design, and fabrication including wide range of applications in industries as automotive, aviation, electronics, nuclear and so forth. Covers computational methods in design and fluid dynamics with a focus on computational fluid dynamics Explains advanced material applications and manufacturing in labs using novel alloys and introduces properties in material Discusses fabrication of graphene reinforced magnesium metal matrix for orthopedic applications Illustrates simulation and optimization gear transmission, heat sink and heat exchangers application Provides unique problem-solution approach including solutions, methodology, experimental setup, and results validation This book is aimed at researchers, graduate students in mechanical engineering, computer fluid dynamics,fluid mechanics, computer modeling, machine parts, and mechatronics.

Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

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Author :
Publisher : Springer
ISBN 13 : 9811063648
Total Pages : 824 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration by : Kang Li

Download or read book Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration written by Kang Li and published by Springer. This book was released on 2017-09-01 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

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Author :
Publisher : Springer
ISBN 13 : 9789811063633
Total Pages : 0 pages
Book Rating : 4.0/5 (636 download)

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Book Synopsis Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration by : Kang Li

Download or read book Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration written by Kang Li and published by Springer. This book was released on 2017-08-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Harnessing NanoOmics and Nanozymes for Sustainable Agriculture

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 557 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Harnessing NanoOmics and Nanozymes for Sustainable Agriculture by : Rajput, Vishnu D.

Download or read book Harnessing NanoOmics and Nanozymes for Sustainable Agriculture written by Rajput, Vishnu D. and published by IGI Global. This book was released on 2024-05-01 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era overshadowed by pressing global challenges such as climate change, burgeoning populations, and the depletion of natural resources, the agricultural landscape is at a critical juncture. The need for sustainable practices has never been more urgent, with conventional methods struggling to meet the demands of a growing population while grappling with environmental degradation. Harnessing NanoOmics and Nanozymes for Sustainable Agriculture delves into the heart of the problem, navigating the intricate web of challenges facing agriculture today. From dwindling crop yields to the environmental repercussions of conventional farming practices, the urgency to find innovative, sustainable solutions is paramount. Harnessing NanoOmics and Nanozymes for Sustainable Agriculture offers a comprehensive exploration of nanotechnology's potential to revolutionize agriculture, presenting a promising pathway toward enhanced productivity, minimizing environmental impact, and optimal resource utilization.