Proceedings of the 2nd International Conference on Computational and Bio Engineering PDF Download

Author: S. Jyothi
Publisher: Springer Nature
ISBN: 9811619417
Category : Technology & Engineering
Languages : en
Pages : 774

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Book Description
This book presents the peer-reviewed proceedings of the 2nd International Conference on Computational and Bioengineering (CBE 2020) jointly organized in virtual mode by the Department of Computer Science and the Department of BioScience & Sericulture, Sri Padmavati Mahila Visvavidyalayam (Women's University), Tirupati, Andhra Pradesh, India, during 4–5 December 2020. The book includes the latest research on advanced computational methodologies such as artificial intelligence, data mining and data warehousing, cloud computing, computational intelligence, soft computing, image processing, Internet of things, cognitive computing, wireless networks, social networks, big data analytics, machine learning, network security, computer networks and communications, bioinformatics, biocomputing/biometrics, computational biology, biomaterials, bioengineering, and medical and biomedical informatics.

Author: Antonina Starita
Publisher: IOS Press
ISBN: 1607500108
Category : Computers
Languages : en
Pages : 232

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Book Description
"This volume, presented during a symposium in memory of Antonina Starita which was held in Pisa at the Department of Computer Science."--Pref.

Author: Information Resources Management Association
Publisher: IGI Global
ISBN: 1466638877
Category : Business & Economics
Languages : en
Pages : 2031

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Book Description
"This book provides a comprehensive collection of research on current technological developments and organizational perspectives on the scale of small and medium enterprises"--Provided by publisher.

Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 772

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Author: Biradar, Rajashekhar C.
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 432

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Book Description
The ever-evolving industrial landscape poses challenges for businesses, particularly in robotics, where performance optimization and data security are paramount. AI and Blockchain Applications in Industrial Robotics, edited by esteemed scholars Mihai Lazarescu, Rajashekhar Biradar, Geetha Devanagavi, Nikhath Tabassum, and Nayana Hegde, presents the transformative potential of combining AI and blockchain technologies to revolutionize the field. This exceptional book provides comprehensive insights into how AI enhances predictive models and pattern recognition, while blockchain ensures secure and immutable data transactions. By synergizing these technologies, businesses can achieve enhanced transparency, trust, and efficiency in their robotic processes. With practical applications, use cases, and real-world examples, the book caters to a wide range of readers, empowering them to embrace the possibilities of AI and blockchain in industrial robotics. AI and Blockchain Applications in Industrial Robotics equip industries with the tools and understanding to overcome challenges in optimizing performance, ensuring data security, and harnessing emerging technologies. Serving as a beacon of knowledge, this book drives innovation, efficiency, and competitiveness in the industrial sector. Whether for postgraduate students, researchers, industry professionals, undergraduate students, or freelance developers, the book provides valuable insights and practical guidance for implementing AI and blockchain solutions. By embracing the transformative potential of these technologies, industries can unlock new possibilities and propel themselves forward in the ever-advancing world of industrial robotics.

Author: Ajay Kumar
Publisher: Elsevier
ISBN: 0443217807
Category : Science
Languages : en
Pages : 495

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Book Description
Microbiome-Based Decontamination of Environmental Pollutants explores the complex interactions of plant-associated microbiomes, providing insights into the pressing challenges of managing environmental resources such as soil, water, and waste. Analysis has shown a formidable potential based in the network interactions between plant microbiota and environmental contaminants. This book presents insights into the potential exploitation of these plant-associated microbial functions. This volume in the Plant and Soil Microbiome series summarizes microbiological aspects of environmental management from the basics to advanced theoretical as well as practical aspects of microbial-based approaches. The physical and chemical changes caused by pollution of an ecosystem can occur rapidly, significantly impacting the functionality of ecosystem services in that environment. Environmental contamination poses and increasingly global challenge through direct and indirect adverse impacts on the climate, soil productivity and the health concerns of human beings. Traditional remediation techniques are not consistently feasible in mitigating environmental contaminants challenges in terms of cost-effectiveness, limited land resources and toxic residual products. The use of plant-associated microbes as part of a network of tools opens a new door to explore an alternative, eco-friendly and economical technology to mitigate the challenges of environmental contamination. - Explores the emerging plant microbe interactive nexus for contaminants degradation - Presents insights into the production and commercialization of plant-microbiome based enzymes - Includes engineered microbes and microbial products application in contaminant management - Highlights the latest omics and technologies used in plant–soil microbiome in contaminant management

Author: S. Smys
Publisher: Springer Nature
ISBN: 3030418626
Category : Computers
Languages : en
Pages : 1664

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Book Description
This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.

Author: Jyoti Sekhar Banerjee
Publisher: CRC Press
ISBN: 1000815137
Category : Computers
Languages : en
Pages : 284

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Book Description
Intelligent Cyber-Physical Systems Security for Industry 4.0: Applications, Challenges and Management presents new cyber-physical security findings for Industry 4.0 using emerging technologies like artificial intelligence (with machine/deep learning), data mining, applied mathematics. All these are the essential components for processing data, recognizing patterns, modeling new techniques, and improving the advantages of data science. Features • Presents an integrated approach with Cyber-Physical Systems, CPS security, and Industry 4.0 in one place • Exposes the necessity of security initiatives, standards, security policies, and procedures in the context of industry 4.0 • Suggests solutions for enhancing the protection of 5G and the Internet of Things (IoT) security • Promotes how optimization or intelligent techniques envisage the role of artificial intelligence-machine/deep learning (AI-ML/DL) in cyberphysical systems security for industry 4.0 This book is primarily aimed at graduates, researchers and professionals working in the field of security. Executives concerned with security management, knowledge dissemination, information, and policy development for data and network security in different educational, government, and non-government organizations will also find this book useful.

Author: Satyabrata Roy
Publisher: Springer Nature
ISBN: 9819926025
Category : Technology & Engineering
Languages : en
Pages : 764

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Book Description
This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2022),” hosted by Manipal University Jaipur, Rajasthan, India, on 24–25 November 2022. The book includes a collection of innovative ideas from researchers, scientists, academics, industry professionals and students. The book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices.

Author: Taskin Kavzoglu
Publisher: CRC Press
ISBN: 104009905X
Category : Technology & Engineering
Languages : en
Pages : 444

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Book Description
The third edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and selection, multisource image fusion, hyperparameter optimization, accuracy assessment with model explainability, and object-based image analysis, which is relatively a new paradigm in image processing and classification. It presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods. New in this edition: Provides comprehensive background on the theory of deep learning and its application to remote sensing data. Includes a chapter on hyperparameter optimization techniques to guarantee the highest performance in classification applications. Outlines the latest strategies and accuracy measures in accuracy assessment and summarizes accuracy metrics and assessment strategies. Discusses the methods used for explaining inherent structures and weighing the features of ML and AI algorithms that are critical for explaining the robustness of the models. This book is intended for industry professionals, researchers, academics, and graduate students who want a thorough and up-to-date guide to the many and varied techniques of image classification applied in the fields of geography, geospatial and earth sciences, electronic and computer science, environmental engineering, etc.