Arvind Selwal – författare
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9 produkter
9 produkter
Inbunden, Engelska, 2021
2 259 kr
Skickas inom 10-15 vardagar
Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.
Häftad, Engelska, 2024
740 kr
Skickas inom 10-15 vardagar
Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.
E-bok
PDF, Engelska, 2021901 kr
Läs direkt efter köp
Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.
Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.
E-bok
Engelska, 2021901 kr
Läs direkt efter köp
Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.
Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.
Inbunden, Engelska, 2024
1 474 kr
Skickas inom 10-15 vardagar
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this aspect, it presents the advancements made in computer vision to biometric applications design approach using emerging technologies. It discusses the challenges of designing efficient and accurate biometric-based systems, which is a key issue that can be tackled via computer vision-based techniques.Key FeaturesDiscusses real-life applications of emerging techniques in computer vision systemsOffers solutions on real-time computer vision and biometrics applications to cater to the needs of current industryPresents case studies to offer ideas for developing new biometrics-based productsOffers problem-based solutions in the field computer vision and real-time biometric applications for secured human authenticationWorks as a ready resource for professionals and scholars working on emerging topics of computer vision for biometricsThe book is for academic researchers, scholars and students in Computer Science, Information Technology, Electronics and Electrical Engineering, Mechanical Engineering, management, academicians, researchers, scientists and industry people working on computer vision and biometrics applications.
- Nyhet
Häftad, Engelska, 2026
806 kr
Skickas inom 10-15 vardagar
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this aspect, it presents the advancements made in computer vision to biometric applications design approach using emerging technologies. It discusses the challenges of designing efficient and accurate biometric-based systems, which is a key issue that can be tackled via computer vision-based techniques.Key FeaturesDiscusses real-life applications of emerging techniques in computer vision systemsOffers solutions on real-time computer vision and biometrics applications to cater to the needs of current industryPresents case studies to offer ideas for developing new biometrics-based productsOffers problem-based solutions in the field computer vision and real-time biometric applications for secured human authenticationWorks as a ready resource for professionals and scholars working on emerging topics of computer vision for biometricsThe book is for academic researchers, scholars and students in Computer Science, Information Technology, Electronics and Electrical Engineering, Mechanical Engineering, management, academicians, researchers, scientists and industry people working on computer vision and biometrics applications.
E-bok
PDF, Engelska, 2024909 kr
Läs direkt efter köp
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this aspect, it presents the advancements made in computer vision to biometric applications design approach using emerging technologies. It discusses the challenges of designing efficient and accurate biometric-based systems, which is a key issue that can be tackled via computer vision-based techniques.Key FeaturesDiscusses real-life applications of emerging techniques in computer vision systemsOffers solutions on real-time computer vision and biometrics applications to cater to the needs of current industryPresents case studies to offer ideas for developing new biometrics-based productsOffers problem-based solutions in the field computer vision and real-time biometric applications for secured human authenticationWorks as a ready resource for professionals and scholars working on emerging topics of computer vision for biometricsThe book is for academic researchers, scholars and students in Computer Science, Information Technology, Electronics and Electrical Engineering, Mechanical Engineering, management, academicians, researchers, scientists and industry people working on computer vision and biometrics applications.
E-bok
Engelska, 2024909 kr
Läs direkt efter köp
Computer vision is an effective solution in a diverse range of real-life applications. With the advent of the machine and deep learning paradigms, this book adopts machine and deep learning algorithms to leverage digital image processing for designing accurate biometrical applications. In this aspect, it presents the advancements made in computer vision to biometric applications design approach using emerging technologies. It discusses the challenges of designing efficient and accurate biometric-based systems, which is a key issue that can be tackled via computer vision-based techniques.Key FeaturesDiscusses real-life applications of emerging techniques in computer vision systemsOffers solutions on real-time computer vision and biometrics applications to cater to the needs of current industryPresents case studies to offer ideas for developing new biometrics-based productsOffers problem-based solutions in the field computer vision and real-time biometric applications for secured human authenticationWorks as a ready resource for professionals and scholars working on emerging topics of computer vision for biometricsThe book is for academic researchers, scholars and students in Computer Science, Information Technology, Electronics and Electrical Engineering, Mechanical Engineering, management, academicians, researchers, scientists and industry people working on computer vision and biometrics applications.
E-bok
PDF, Engelska, 2022251 kr
Läs direkt efter köp
Master's Thesis from the year 2020 in the subject Computer Sciences - Artificial Intelligence, grade: 9.30, , language: English, abstract: The application of DL techniques in steganography has greatly increased the efficiency of steganographic concealment systems, leading to a substantial improvement in safety risks. To counter this, the researchers shifted to steganalysis, the method of detecting steganographic material. In practice, steganalysis is being used in a security framework that operates like a spam-filter to prevent the transmission of malicious steganographic content through networks. Newer steganalysis methods, however, have shown promising results, but they remain both fairly inefficient and non-robust. Steganography is the mechanism by which data are hidden inside an ordinary (non-secret) file to evade detection. Although encryption is intended to hide data information, steganography is intended to conceal data existence. Steganography can also hide new form of communication by hiding the existence of data, and thus provide behavioral protection. Steganography provides behavioral protection and plays a critical role in safeguarding the privacy of information. Although steganographic concealment systems are routinely used for benign activities, bad actors can also use them to transmit malicious information using ordinary files such as photographs, thus posing a risk to security. Because current network defenses do not search images for steganographic content, the transmission of malicious steganographic content cannot be effectively blocked. Hackers may thus use steganography to transfer vulnerabilities or other compromising data in an untraceable fashion through networks.