S. Oswalt Manoj – författare

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19 produkter

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19 produkter

Nyhet
Classical and Quantum Principal Component Analysis in Data Engineering
AvAbhishek Kumar,J. P. Ananthm. fl.
Inbunden, Engelska, 2026
2 207 kr
Skickas inom 5-8 vardagar
This essential resource bridges the gap between classical data limitations and the future of computing, giving you the scalable, quantum-accelerated PCA strategies needed to conquer today’s massive, high-dimensional datasets. With the rapid growth of big data in fields such as genomics, internet traffic analysis, and social network data, traditional principal component analysis methods have reached their limits in terms of scalability and computational efficiency. This volume delves into cutting-edge advancements in principal component analysis (PCA), particularly focusing on its applications in handling high-dimensional and large-scale datasets. It also provides practical insights into how PCA can be applied to fields such as machine learning, bioinformatics, and finance. Through real-world case studies, hands-on examples, and guidance on implementing PCA using modern software tools and libraries, the book presents essential principles in quantum information theory and quantum algorithms, establishing the groundwork necessary to comprehend how quantum computing may expedite and improve PCA procedures. This work examines quantum algorithms for matrix decomposition, analyzes the computational benefits of quantum PCA compared to classical approaches, and showcases real applications in quantum machine learning, encryption, and quantum chemistry. Ultimately, this book will serve as a valuable resource for researchers, students, and professionals looking to the future of high-dimensional data analysis and how to apply efficient, scalable methods to PCA in their work.
Nyhet
Classical and Quantum Principal Component Analysis in Data Engineering
AvA. Jayanthiladevi,Navneet Kaurm. fl.
E-bok
Engelska, 2026
2 693 kr
Läs direkt efter köp
This essential resource bridges the gap between classical data limitations and the future of computing, giving you the scalable, quantum-accelerated PCA strategies needed to conquer today s massive, high-dimensional datasets. With the rapid growth of big data in fields such as genomics, internet traffic analysis, and social network data, traditional principal component analysis methods have reached their limits in terms of scalability and computational efficiency. This volume delves into cutting-edge advancements in principal component analysis (PCA), particularly focusing on its applications in handling high-dimensional and large-scale datasets. It also provides practical insights into how PCA can be applied to fields such as machine learning, bioinformatics, and finance. Through real-world case studies, hands-on examples, and guidance on implementing PCA using modern software tools and libraries, the book presents essential principles in quantum information theory and quantum algorithms, establishing the groundwork necessary to comprehend how quantum computing may expedite and improve PCA procedures. This work examines quantum algorithms for matrix decomposition, analyzes the computational benefits of quantum PCA compared to classical approaches, and showcases real applications in quantum machine learning, encryption, and quantum chemistry. Ultimately, this book will serve as a valuable resource for researchers, students, and professionals looking to the future of high-dimensional data analysis and how to apply efficient, scalable methods to PCA in their work.
Nyhet
Classical and Quantum Principal Component Analysis in Data Engineering
AvA. Jayanthiladevi,Navneet Kaurm. fl.
E-bok
PDF, Engelska, 2026
2 693 kr
Läs direkt efter köp
This essential resource bridges the gap between classical data limitations and the future of computing, giving you the scalable, quantum-accelerated PCA strategies needed to conquer today s massive, high-dimensional datasets. With the rapid growth of big data in fields such as genomics, internet traffic analysis, and social network data, traditional principal component analysis methods have reached their limits in terms of scalability and computational efficiency. This volume delves into cutting-edge advancements in principal component analysis (PCA), particularly focusing on its applications in handling high-dimensional and large-scale datasets. It also provides practical insights into how PCA can be applied to fields such as machine learning, bioinformatics, and finance. Through real-world case studies, hands-on examples, and guidance on implementing PCA using modern software tools and libraries, the book presents essential principles in quantum information theory and quantum algorithms, establishing the groundwork necessary to comprehend how quantum computing may expedite and improve PCA procedures. This work examines quantum algorithms for matrix decomposition, analyzes the computational benefits of quantum PCA compared to classical approaches, and showcases real applications in quantum machine learning, encryption, and quantum chemistry. Ultimately, this book will serve as a valuable resource for researchers, students, and professionals looking to the future of high-dimensional data analysis and how to apply efficient, scalable methods to PCA in their work.
Physiotherapy Using Artificial Intelligence
Enhancing Biomechanics for Optimal Rehabilitation
AvAbhishek Kumar,T. Ananth Kumarm. fl.
Inbunden, Engelska, 2026
2 636 kr
Skickas inom 5-8 vardagar
Physiotherapy Using Artificial Intelligence: Enhancing Biomechanics for Optimal RehabilitationEmpower your practice with this definitive resource that bridges the gap between artificial intelligence and biomechanics, providing the essential tools and knowledge to optimize assessments, personalize treatment plans, and predict recovery outcomes in the rapidly evolving landscape of modern physiotherapy.The integration of artificial intelligence (AI) with biomechanics in physiotherapy represents a transformative shift in the healthcare landscape, driven by rapid technological advancement and an increasing emphasis on personalized, data-driven care. Over the past decade, AI has progressed from theoretical exploration to practical clinical application, enabling enhanced decision-making and improved patient outcomes. This book examines the intersection of artificial intelligence and physiotherapy with a focused emphasis on biomechanics, exploring how AI can optimize biomechanical assessments, support individualized treatment planning, and predict patient progress in clinical settings. As demand grows for AI-driven innovation in rehabilitation, this volume serves as an essential resource for physiotherapists, clinicians, and researchers seeking to understand and adopt these emerging technologies to advance practice and improve rehabilitation outcomes.
Physiotherapy Using Artificial Intelligence
Enhancing Biomechanics for Optimal Rehabilitation
AvS. Oswalt Manoj,J. P. Ananthm. fl.
E-bok
Engelska, 2026
3 185 kr
Läs direkt efter köp
Physiotherapy Using Artificial Intelligence: Enhancing Biomechanics for Optimal Rehabilitation

Empower your practice with this definitive resource that bridges the gap between artificial intelligence and biomechanics, providing the essential tools and knowledge to optimize assessments, personalize treatment plans, and predict recovery outcomes in the rapidly evolving landscape of modern physiotherapy.

The integration of artificial intelligence (AI) with biomechanics in physiotherapy represents a transformative shift in the healthcare landscape, driven by rapid technological advancement and an increasing emphasis on personalized, data-driven care. Over the past decade, AI has progressed from theoretical exploration to practical clinical application, enabling enhanced decision-making and improved patient outcomes. This book examines the intersection of artificial intelligence and physiotherapy with a focused emphasis on biomechanics, exploring how AI can optimize biomechanical assessments, support individualized treatment planning, and predict patient progress in clinical settings. As demand grows for AI-driven innovation in rehabilitation, this volume serves as an essential resource for physiotherapists, clinicians, and researchers seeking to understand and adopt these emerging technologies to advance practice and improve rehabilitation outcomes.
Physiotherapy Using Artificial Intelligence
Enhancing Biomechanics for Optimal Rehabilitation
AvS. Oswalt Manoj,J. P. Ananthm. fl.
E-bok
PDF, Engelska, 2026
3 218 kr
Läs direkt efter köp
Empower your practice with this definitive resource that bridges the gap between artificial intelligence and biomechanics, providing the essential tools and knowledge to optimize assessments, personalize treatment plans, and predict recovery outcomes in the rapidly evolving landscape of modern physiotherapy.
The integration of artificial intelligence (AI) with biomechanics in physiotherapy represents a transformative shift in the healthcare landscape, driven by rapid technological advancement and an increasing emphasis on personalized, data-driven care. Over the past decade, AI has progressed from theoretical exploration to practical clinical application, enabling enhanced decision-making and improved patient outcomes. This book examines the intersection of artificial intelligence and physiotherapy with a focused emphasis on biomechanics, exploring how AI can optimize biomechanical assessments, support individualized treatment planning, and predict patient progress in clinical settings. As demand grows for AI-driven innovation in rehabilitation, this volume serves as an essential resource for physiotherapists, clinicians, and researchers seeking to understand and adopt these emerging technologies to advance practice and improve rehabilitation outcomes.
Nyhet
Nature-Inspired Intelligence for Complex Problems
AvAbhishek Kumar,Priya Battam. fl.
Inbunden, Engelska, 2026
2 383 kr
Skickas inom 5-8 vardagar
Discover how to turn nature’s best problem-solving strategies into powerful computational tools with this comprehensive guide to building resilient, adaptive, and next-generation algorithms for healthcare, finance, and engineering. Nature-inspired intelligence is a rapidly evolving field that draws from biological and physical phenomena, such as evolution, swarm behavior, neural processing, and immune systems, to develop algorithms capable of handling complexity, uncertainty, and scalability. Unlike conventional computational approaches, these techniques adapt dynamically, mimic resilience, and exhibit problem-solving strategies observed in nature. As industries face increasingly complex and data-intensive challenges, nature-inspired intelligence provides robust, efficient, and innovative solutions, positioning it as a cornerstone of future technological and scientific progress. This book presents a comprehensive exploration of how biological, physical, and ecological principles can be transformed into powerful computational tools for solving some of today’s most challenging problems. Drawing inspiration from natural processes, the book highlights a broad spectrum of algorithms that push beyond traditional approaches to optimization and decision-making. Blending theory with application, the book demonstrates how nature-inspired intelligence can address complexity across domains including healthcare, energy, finance, engineering, and emerging technologies. Readers will find the volume: Offers an in-depth exploration of a wide range of nature-inspired computational techniques, including evolutionary algorithms, swarm intelligence, neural models, and physics-inspired methods;Bridges the gap between natural systems and computational problem-solving, appealing to a diverse audience of researchers and practitioners;Features case studies in robotics, healthcare, finance, engineering, and environmental sustainability, and highlights how these algorithms are used to tackle practical challenges across industries;Addresses the latest advancements in combining multiple nature-inspired techniques and explores cutting-edge topics like quantum computing and bio-hybrid systems. ensuring the content remains relevant to current research and innovation.Audience Computer scientists, engineers, applied mathematicians, data scientists, and researchers in optimization and complex systems, as well as professionals in healthcare, energy, finance, and technology seeking innovative problem-solving approaches.
Nyhet
Nature-Inspired Intelligence for Complex Problems
AvT. Ananth Kumar,S. Oswalt Manojm. fl.
E-bok
Engelska, 2026
2 726 kr
Läs direkt efter köp
Discover how to turn nature s best problem-solving strategies into powerful computational tools with this comprehensive guide to building resilient, adaptive, and next-generation algorithms for healthcare, finance, and engineering. Nature-inspired intelligence is a rapidly evolving field that draws from biological and physical phenomena, such as evolution, swarm behavior, neural processing, and immune systems, to develop algorithms capable of handling complexity, uncertainty, and scalability. Unlike conventional computational approaches, these techniques adapt dynamically, mimic resilience, and exhibit problem-solving strategies observed in nature. As industries face increasingly complex and data-intensive challenges, nature-inspired intelligence provides robust, efficient, and innovative solutions, positioning it as a cornerstone of future technological and scientific progress. This book presents a comprehensive exploration of how biological, physical, and ecological principles can be transformed into powerful computational tools for solving some of today s most challenging problems. Drawing inspiration from natural processes, the book highlights a broad spectrum of algorithms that push beyond traditional approaches to optimization and decision-making. Blending theory with application, the book demonstrates how nature-inspired intelligence can address complexity across domains including healthcare, energy, finance, engineering, and emerging technologies. Readers will find the volume: Offers an in-depth exploration of a wide range of nature-inspired computational techniques, including evolutionary algorithms, swarm intelligence, neural models, and physics-inspired methods; Bridges the gap between natural systems and computational problem-solving, appealing to a diverse audience of researchers and practitioners; Features case studies in robotics, healthcare, finance, engineering, and environmental sustainability, and highlights how these algorithms are used to tackle practical challenges across industries; Addresses the latest advancements in combining multiple nature-inspired techniques and explores cutting-edge topics like quantum computing and bio-hybrid systems. ensuring the content remains relevant to current research and innovation. Audience Computer scientists, engineers, applied mathematicians, data scientists, and researchers in optimization and complex systems, as well as professionals in healthcare, energy, finance, and technology seeking innovative problem-solving approaches.
Blockchain and the Water Supply Chain
Opportunities, Challenges and Innovations
AvSrivel Ravi,Dhaya Chinnathambim. fl.
E-bok
PDF, Engelska, 2025
2 069 kr
Läs direkt efter köp
Blockchain and the Water Supply Chain explores the transformative potential of blockchain technology in ensuring sustainable, transparent and efficient water governance. Placing water at the center of smart infrastructure innovation, the book addresses the urgent need for trustworthy and traceable systems in the distribution and management of water resources. This book also delves into how blockchain can revolutionize the water supply chain through decentralized monitoring, smart contracts and immutable data records to reduce losses, enhance accountability and enable real-time decision making. It analyzes key challenges such as interoperability, scalability and regulatory hurdles, while also showcasing innovative use cases and pilot projects across the globe. With contributions from experts in water management, blockchain and environmental policy, this book bridges the gap between digital innovation and sustainable resource management, and is an essential guide for researchers, policymakers and technologists aiming to reshape the future of water systems.
Blockchain and the Water Supply Chain
Opportunities, Challenges and Innovations
AvSrivel Ravi,Dhaya Chinnathambim. fl.
E-bok
Engelska, 2025
2 069 kr
Läs direkt efter köp
Blockchain and the Water Supply Chain explores the transformative potential of blockchain technology in ensuring sustainable, transparent and efficient water governance. Placing water at the center of smart infrastructure innovation, the book addresses the urgent need for trustworthy and traceable systems in the distribution and management of water resources. This book also delves into how blockchain can revolutionize the water supply chain through decentralized monitoring, smart contracts and immutable data records to reduce losses, enhance accountability and enable real-time decision making. It analyzes key challenges such as interoperability, scalability and regulatory hurdles, while also showcasing innovative use cases and pilot projects across the globe. With contributions from experts in water management, blockchain and environmental policy, this book bridges the gap between digital innovation and sustainable resource management, and is an essential guide for researchers, policymakers and technologists aiming to reshape the future of water systems.
Sustainable Supply Chains and Carbon Footprint Reduction
The Blockchain Advantage
AvSrivel Ravi,Dhaya Chinnathambim. fl.
E-bok
PDF, Engelska, 2025
2 048 kr
Läs direkt efter köp
Sustainable Supply Chains and Carbon Footprint Reduction explores how blockchain technology enables greener, more accountable supply chains by improving traceability, reducing inefficiencies and offering real-time visibility into resource use and carbon emissions. This book examines how blockchain creates secure, tamper-proof records of supply chain activities, helping industries track products from origin to consumption while ensuring compliance with environmental standards. Through real-world case studies and practical strategies, it highlights blockchain's role in driving sustainable practices across sectors such as agriculture, manufacturing, logistics and energy. Designed for business leaders, sustainability professionals and policymakers, this book provides actionable insights for leveraging blockchain to meet climate goals and support circular economy initiatives and demonstrates how digital innovation and sustainability can work together to create transparent, resilient and environmentally responsible supply chains.
Sustainable Supply Chains and Carbon Footprint Reduction
The Blockchain Advantage
AvSrivel Ravi,Dhaya Chinnathambim. fl.
E-bok
Engelska, 2025
2 069 kr
Läs direkt efter köp
Sustainable Supply Chains and Carbon Footprint Reduction explores how blockchain technology enables greener, more accountable supply chains by improving traceability, reducing inefficiencies and offering real-time visibility into resource use and carbon emissions. This book examines how blockchain creates secure, tamper-proof records of supply chain activities, helping industries track products from origin to consumption while ensuring compliance with environmental standards. Through real-world case studies and practical strategies, it highlights blockchain's role in driving sustainable practices across sectors such as agriculture, manufacturing, logistics and energy. Designed for business leaders, sustainability professionals and policymakers, this book provides actionable insights for leveraging blockchain to meet climate goals and support circular economy initiatives and demonstrates how digital innovation and sustainability can work together to create transparent, resilient and environmentally responsible supply chains.
Agricultural Supply Chain Using Federated Learning
AvAbhishek Kumar,Pooja Dixitm. fl.
Inbunden, Engelska, 2026
2 411 kr
Skickas inom 5-8 vardagar
Master the next evolution of agricultural intelligence with this definitive guide to federated learning, providing decentralized, privacy-preserving strategies needed to optimize global supply chains without compromising data sovereignty. As global agriculture faces challenges such as climate variability, resource inefficiency, and data privacy concerns, traditional centralized AI systems struggle to operate at scale. Federated learning addresses these limitations by enabling decentralized, privacy-preserving model training across distributed datasets, supporting secure and collaborative optimization. This book explores how federated learning enhances precision farming, logistics optimization, and sustainable resource management through real-time, data-driven decision-making while respecting local variations and regulatory constraints. It bridges the gap between advanced AI technologies and practical agricultural supply chain management, covering foundational concepts, system architectures, and real-world implementations. Through case studies and applied insights, the book demonstrates how federated learning can improve productivity, reduce waste, and strengthen sustainability while maintaining data sovereignty. It offers a balanced perspective on both technical and managerial aspects, making it accessible to a wide audience while retaining depth for academic and industry professionals.
Agricultural Supply Chain Using Federated Learning
AvS. Panneerselvam,S. Oswalt Manojm. fl.
E-bok
Engelska, 2026
2 174 kr
Läs direkt efter köp
Master the next evolution of agricultural intelligence with this definitive guide to federated learning, providing decentralized, privacy-preserving strategies needed to optimize global supply chains without compromising data sovereignty. As global agriculture faces challenges such as climate variability, resource inefficiency, and data privacy concerns, traditional centralized AI systems struggle to operate at scale. Federated learning addresses these limitations by enabling decentralized, privacy-preserving model training across distributed datasets, supporting secure and collaborative optimization. This book explores how federated learning enhances precision farming, logistics optimization, and sustainable resource management through real-time, data-driven decision-making while respecting local variations and regulatory constraints. It bridges the gap between advanced AI technologies and practical agricultural supply chain management, covering foundational concepts, system architectures, and real-world implementations. Through case studies and applied insights, the book demonstrates how federated learning can improve productivity, reduce waste, and strengthen sustainability while maintaining data sovereignty. It offers a balanced perspective on both technical and managerial aspects, making it accessible to a wide audience while retaining depth for academic and industry professionals.
Agricultural Supply Chain Using Federated Learning
AvS. Panneerselvam,S. Oswalt Manojm. fl.
E-bok
PDF, Engelska, 2026
2 679 kr
Läs direkt efter köp
Master the next evolution of agricultural intelligence with this definitive guide to federated learning, providing decentralized, privacy-preserving strategies needed to optimize global supply chains without compromising data sovereignty. As global agriculture faces challenges such as climate variability, resource inefficiency, and data privacy concerns, traditional centralized AI systems struggle to operate at scale. Federated learning addresses these limitations by enabling decentralized, privacy-preserving model training across distributed datasets, supporting secure and collaborative optimization. This book explores how federated learning enhances precision farming, logistics optimization, and sustainable resource management through real-time, data-driven decision-making while respecting local variations and regulatory constraints. It bridges the gap between advanced AI technologies and practical agricultural supply chain management, covering foundational concepts, system architectures, and real-world implementations. Through case studies and applied insights, the book demonstrates how federated learning can improve productivity, reduce waste, and strengthen sustainability while maintaining data sovereignty. It offers a balanced perspective on both technical and managerial aspects, making it accessible to a wide audience while retaining depth for academic and industry professionals.
Blockchain and the Water Supply Chain
Opportunities, Challenges and Innovations
AvAbhishek Kumar,Abhishek Kumarm. fl.
Inbunden, Engelska, 2025
1 758 kr
Skickas inom 5-8 vardagar
Blockchain and the Water Supply Chain explores the transformative potential of blockchain technology in ensuring sustainable, transparent and efficient water governance. Placing water at the center of smart infrastructure innovation, the book addresses the urgent need for trustworthy and traceable systems in the distribution and management of water resources.This book also delves into how blockchain can revolutionize the water supply chain through decentralized monitoring, smart contracts and immutable data records to reduce losses, enhance accountability and enable real-time decision making. It analyzes key challenges such as interoperability, scalability and regulatory hurdles, while also showcasing innovative use cases and pilot projects across the globe. With contributions from experts in water management, blockchain and environmental policy, this book bridges the gap between digital innovation and sustainable resource management, and is an essential guide for researchers, policymakers and technologists aiming to reshape the future of water systems.
Sustainable Supply Chains and Carbon Footprint Reduction
The Blockchain Advantage
AvPriya Batta,Priya Battam. fl.
Inbunden, Engelska, 2025
1 758 kr
Skickas inom 5-8 vardagar
Sustainable Supply Chains and Carbon Footprint Reduction explores how blockchain technology enables greener, more accountable supply chains by improving traceability, reducing inefficiencies and offering real-time visibility into resource use and carbon emissions.This book examines how blockchain creates secure, tamper-proof records of supply chain activities, helping industries track products from origin to consumption while ensuring compliance with environmental standards. Through real-world case studies and practical strategies, it highlights blockchain's role in driving sustainable practices across sectors such as agriculture, manufacturing, logistics and energy.Designed for business leaders, sustainability professionals and policymakers, this book provides actionable insights for leveraging blockchain to meet climate goals and support circular economy initiatives and demonstrates how digital innovation and sustainability can work together to create transparent, resilient and environmentally responsible supply chains.
Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions
AvAbhishek Kumar,Dr. Priya Battam. fl.
Inbunden, Engelska, 2025
2 267 kr
Skickas inom 5-8 vardagar
This book highlights the transformative synergy between Blockchain and Federated Learning in developing privacy-focused solutions for DeepFex. By leveraging the decentralized nature of blockchain alongside the privacy-preserving capabilities of federated learning, it offers a novel approach to combating the growing challenges of deepfake technology. The integration of these two cutting-edge technologies ensures data security, model integrity, and transparent collaboration, making it possible to detect and mitigate deepfakes in a scalable, ethical, and decentralized manner.
Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions
AvS. Oswalt Manoj,T. Ananth Kumarm. fl.
E-bok
Engelska, 2025
2 833 kr
Läs direkt efter köp
This book highlights the transformative synergy between Blockchain and Federated Learning in developing privacy-focused solutions for DeepFex. By leveraging the decentralized nature of blockchain alongside the privacy-preserving capabilities of federated learning, it offers a novel approach to combating the growing challenges of deepfake technology. The integration of these two cutting-edge technologies ensures data security, model integrity, and transparent collaboration, making it possible to detect and mitigate deepfakes in a scalable, ethical, and decentralized manner.

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S. Oswalt Manoj – författare

Classical and Quantum Principal Component Analysis in Data Engineering

Classical and Quantum Principal Component Analysis in Data Engineering

Classical and Quantum Principal Component Analysis in Data Engineering

Physiotherapy Using Artificial Intelligence

Physiotherapy Using Artificial Intelligence

Physiotherapy Using Artificial Intelligence

Nature-Inspired Intelligence for Complex Problems

Nature-Inspired Intelligence for Complex Problems

Blockchain and the Water Supply Chain

Blockchain and the Water Supply Chain

Sustainable Supply Chains and Carbon Footprint Reduction

Sustainable Supply Chains and Carbon Footprint Reduction

Agricultural Supply Chain Using Federated Learning

Agricultural Supply Chain Using Federated Learning

Agricultural Supply Chain Using Federated Learning

Blockchain and the Water Supply Chain

Sustainable Supply Chains and Carbon Footprint Reduction

Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions

Blockchain and Federated Learning Synergy for Privacy-Focused DeepFex Solutions

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