Yogesh Kumar Rathore – författare
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8 produkter
8 produkter
Inbunden, Engelska, 2024
1 093 kr
Skickas inom 10-15 vardagar
This book, Smart Agriculture: Harnessing Machine Learning for Crop Management, is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios. It also examines the role of remote monitoring and precision agriculture, highlighting how technologies such as remote sensing and recurrent neural networks can optimize farming practices.This book: Emphasizes sustainable agricultural practices and data-driven decision-making for eco-friendly farming. Highlights the importance of using environmentally friendly practices, and how machine learning can play a pivotal role in achieving sustainability goals. Discusses topics such as crop optimization, disease detection, pest control, resource management, precision agriculture, and sustainability. Covers predictive analytics for weather forecasting, Internet of Things applications for precision agriculture, and the role of sensors in data collection. Illustrates optimizing resource allocation, irrigation with artificial intelligence, and machine learning for soil health assessment. Whether you are a researcher, a student, an agricultural professional, or a technology enthusiast, this book offers valuable insights into the transformative power of machine learning in agriculture. It invites readers to explore the potential of machine learning to transform farming practices, improve food security, and promote environmental sustainability.
Häftad, Engelska, 2026
766 kr
Kommande
This book, Smart Agriculture: Harnessing Machine Learning for Crop Management, is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios. It also examines the role of remote monitoring and precision agriculture, highlighting how technologies such as remote sensing and recurrent neural networks can optimize farming practices.This book: Emphasizes sustainable agricultural practices and data-driven decision-making for eco-friendly farming. Highlights the importance of using environmentally friendly practices, and how machine learning can play a pivotal role in achieving sustainability goals. Discusses topics such as crop optimization, disease detection, pest control, resource management, precision agriculture, and sustainability. Covers predictive analytics for weather forecasting, Internet of Things applications for precision agriculture, and the role of sensors in data collection. Illustrates optimizing resource allocation, irrigation with artificial intelligence, and machine learning for soil health assessment. Whether you are a researcher, a student, an agricultural professional, or a technology enthusiast, this book offers valuable insights into the transformative power of machine learning in agriculture. It invites readers to explore the potential of machine learning to transform farming practices, improve food security, and promote environmental sustainability.
Inbunden, Engelska, 2024
2 113 kr
Skickas inom 5-8 vardagar
SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether you’re a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age.
Inbunden, Engelska, 2026
1 953 kr
Skickas inom 5-8 vardagar
Revolutionize the agricultural supply chain with this essential guide, which provides the practical knowledge to leverage blockchain technology for transparency, traceability, and trust, alongside AI for overcoming modern farming challenges. As technology continues to advance, agriculture has begun to implement digital computing and data-driven innovations. This surge of smart farming has resulted in a variety of improvements, including automated equipment and data collection of soil quality, seed quality, fertilizer, pests, climate, and the supply chain in agriculture. As connectivity and data management continue to revolutionize the farming industry, it is essential for researchers to study these technological advances. This book offers a unique opportunity to revolutionize the supply chain in the agricultural industry, emphasizing the growing role blockchain technology plays. It explores how blockchain enables transparency, traceability, and trust in the agricultural supply chain, from production to distribution. The book also discusses the ethical and social impact of implementing AI and blockchain in agriculture, addressing data privacy, algorithmic bias, and community empowerment. By exploring the integration of AI and blockchain in agriculture, this book serves as a practical guide to overcoming the modern challenges this industry faces.
Inbunden, Engelska, 2025
446 kr
Skickas inom 10-15 vardagar
This book presents the groundbreaking ways artificial intelligence (AI) is revolutionizing the healthcare industry and delves into how AI technologies are enhancing patient care, improving diagnostic accuracy, and streamlining healthcare operations.
Inbunden, Engelska, 2025
446 kr
Skickas inom 10-15 vardagar
This book provides a thorough introduction to graph mining and addresses foundational concepts and advanced techniques along with practical applications across various fields.
- Nyhet
Inbunden, Engelska, 2026
431 kr
Skickas inom 5-8 vardagar
The book explores the ways artificial intelligence (AI) theory is being applied to an extremely diverse range of industries, illustrating just how robust and adaptable this technology has become. AI is revolutionizing the way the world operates by allowing machines to learn from data, make choices, and even resolve problems similar to a human, but quicker and oftentimes more precisely. From its integration into innovative applications such as smart assistants and personalized suggestions to the application of quantum machine learning in identifying multifunctional materials for future technologies, AI is breaking boundaries everywhere. Within the book, every chapter explores a particular industry including energy, healthcare, manufacturing, and business and how AI is not only a theoretical idea, but a real-world tool that fuels innovation. For example, a variety of topics are examined such as how AI is central to the computational design of semiconductors, which are critical to electronics and emerging tech innovations. In manufacturing, AI solves challenges in virtual metrology, enhancing the precision and efficiency of production lines. The book also showcases how AI enables sustainability and assists in energy management and the fight against climate change. Oil and gas industries are getting smarter and more efficient with the application of AI to optimize operations and safety. In healthcare, AI is transforming preventive care, assisting doctors in identifying diseases at an early stage and tailoring treatments. The book also dives into the deployment of AI on devices such as smartphones and wearables, enabling real-time, privacy-focused decision-making. Businesses benefit from AI’s capability in data-driven decision-making, leading to smarter strategies and faster growth. Lastly, AI is enhancing our interaction with technology through immersive AR/VR experiences, making them more intuitive and responsive. This book encourages interdisciplinary thinking between energy, healthcare, and business fields.
Inbunden, Engelska, 2026
676 kr
Kommande
This book presents an accessible overview of how artificial intelligence (AI) is being used to transform diagnosis and treatment, while also highlighting the importance of building secure and trustworthy healthcare systems. In addition, the contributions explore the transformative impact of AI on medical diagnostics, clinical decision-making, and predictive analytics. With growing advancements in machine learning, deep learning, and clinical data analytics, smart diagnostics are becoming increasingly accurate, timely, and personalized. However, as AI systems rely heavily on sensitive patient data, concerns regarding data privacy, cybersecurity, and ethical usage are rising in parallel. These AI-powered tools support clinical decision-making, help reduce human error, and can lead to more personalized and effective treatment plans. However, to function effectively, these intelligent systems need access to massive amounts of sensitive health information, which is why cybersecurity becomes critical. This book brings together experts in AI, medicine, and cybersecurity to offer insights into how cutting-edge technologies can safely and ethically improve patientcare. Current challenges in AI deployment in healthcare settings, including patient data protection, system vulnerabilities, and compliance with global data privacy regulations (e.g., HIPAA, GDPR) are addressed. Bridging medicine, technology, and digital ethics, this book offers valuable insights for researchers, clinicians, data scientists, and healthcare policymakers striving to build intelligent, secure, and future-ready healthcare systems. This book also aims to foster a deeper understanding of how intelligent, secure, and responsible AI applications can drive the future of healthcare delivery worldwide.>Emphasizes smart diagnostics and clinical decision support systems, which are at the forefront of medical innovationIncludes case studies and explores deployment challenges, cybersecurity incidents, and operational best practicesIncorporates ethical/regulatory perspectives, privacy laws, bias mitigation, and societal impact of AI in healthcare