Aruchamy prasanth (31 Ergebnisse)

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. S. Balasubramaniam, S. Kadry, Norway A. Prasanth, R. Dhanaraj, India. Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Buch. Zustand: Neu. Generative AI and LLMs | Natural Language Processing and Generative Adversarial Networks | S. Balasubramaniam (u. a.) | Buch | XIV | Englisch | 2024 | Walter de Gruyter | EAN 9783111424637 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.…

Buch. Zustand: Neu. Neuware - Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.…

Hardcover. Zustand: Brand New. 289 pages. 9.44x6.69x9.61 inches. In Stock.

Zustand: New.

Zustand: New.

Hardcover. Zustand: Brand New. 352 pages. 6.10x0.90x9.10 inches. In Stock.

Hardcover. Zustand: Brand New. In Stock.

Zustand: New.

Zustand: New.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - As artificial intelligence reshapes the global media landscape, AI-assisted journalism and media: opportunities and challenges provides a timely and comprehensive analysis of this technological revolution. Edited by Dr. Pham Chien Thang and Dr. A. Prasanth, this volume brings together cutting-edge research to explore how AI tools from natural language generation to predictive analytics are redefining journalistic practices. Going beyond technical theory, this book focuses on the practical relationship between human journalists and machines, demonstrating how automation can enhance rather than replace traditional reporting. It addresses critical gaps in the current literature by offering a global perspective and featuring case studies from diverse regions and countries worldwide.Key Features:Actionable Strategies: Offers practical guidelines for newsrooms to implement AI solutions, train staff, and manage technological transitions while maintaining high professional standards.Ethical & Legal Frameworks: Provides in-depth coverage of the ethical implications of AI, including transparency, accountability, and copyright considerations necessary for preserving democratic values.Balanced Analysis: Examines both the promising opportunities and the critical challenges of AI adoption, helping readers navigate issues like data quality and the changing definition of 'newsworthy'.Future-Proofing Media: Explores emerging trends and prepares professionals for the future of human-machine collaboration in the newsroom.Target Audience: This book is an indispensable resource for journalism professionals, newsroom managers, and media organizations seeking to navigate the AI transition. It is equally vital for journalism students, academics, and technology developers working on solutions for the news industry.…

Zustand: New. Presents models based on edge computing, communication protocols, machine learning, smart drug delivery, disease detection mechanism, and bio-nano sensor-based applications, among othersIncludes wearable sensors, nano sensors and IoT applic.

Zustand: New.

Hardcover. Zustand: Brand New. 448 pages. 9.25x6.30x1.10 inches. In Stock.

Buch. Zustand: Neu. Neuware - Transform the future of sustainable farming with this guide to mastering deep reinforcement learning architectures and algorithms that turn complex environmental data into precise, high-yield decisions for climate-smart agriculture. It conveys the importance of deep reinforcement learning and its technological advancements across climate-smart agriculture applications, addresses challenges related to privacy, security, and scalability of climatic and agricultural data, and explains reinforcement learning from AI and optimal control perspectives. The book explores advanced solutions such as meta learning, hierarchical learning, multi-agent learning, and imitation learning, emphasizing modern frameworks, algorithms, tools, and decision-making systems that support farmers through intelligent, data-driven applications. A machine learning method called reinforcement learning trains computers to make decisions that produce optimal outcomes by learning through trial and error. Applicable across robotics, autonomous vehicles, healthcare, finance, and agriculture, reinforcement learning plays a critical role in modern intelligent systems. This book provides a detailed analysis of climate-smart agriculture, examining farmers' challenges, current technology-enabled systems, and deep reinforcement learning frameworks, algorithms, and architectures. It also addresses data privacy, security, and scalability issues in applications such as yield prediction, crop management, disease prediction, soil health monitoring, precision agriculture, and environmental monitoring.…

Zustand: New.

Zustand: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New. Explores the role of advanced technologies, such as nanomaterials and artificial intelligence, in the creation of flexible and printed electronicsAnalyses the design of flexible electronics-based wearables and sensors and their application .

Hardcover. Zustand: Brand New. 352 pages. 5.98x1.02x9.02 inches. In Stock.

Hardcover. Zustand: Brand New. 184 pages. 6.30x0.63x9.49 inches. In Stock.

Buch. Zustand: Neu. Neuware - This book provides the definitive blueprint for designing and understanding the resilient, autonomous hardware capable of surviving the harshest environments in the universe. As we venture into deep space beyond low-Earth orbit, space missions depend entirely on space electronics technology. The technological constraints of traditional electronics prevent proper adaptation to deep space requirements for extreme radiation conditions, wide temperature variations, long operational times without maintenance support, and delayed communication pathways. There is a growing need for next-generation space electronics to be robust and radiation-hardened while performing energy-efficient intelligent operations as highly autonomous systems. This book presents innovative space electronics that drive modern deep space expedition practices. It examines deep space electronics by discussing their radiation-resistant elements, intelligent systems, and quantum data exchange, together with next-level propulsion systems. Focusing on filling the need for advanced electronics that provide efficiency and resilience in deep space exploration, the book provides a solution for understanding the quickly changing realm of space electronics technology. Through real-world case studies and expert insights, this book provides operational knowledge about modern technologies to help readers construct dependable systems that support deep space investigation.…

Taschenbuch. Zustand: Neu. Neuware - Future of Internet of Bio-nano Things in Personalized Healthcare: Applications and Challenges explores the core principles of nanomaterials and the sensing paradigms essential for medical devices based on nano-sensors technology, examining the latest theoretical and practical developments in Internet of Bio-nano Things (IoBNT) for health applications. This book explores how IoBNT facilitates the detection and treatment of diseases within the human body through communication between an in-body network of nanodevices and an external control unit. Readers will discover the transformative benefits of IoBNT, which integrates information and communication technologies with medical and nano-bio sensor devices to enhance patient care. The book highlights advances in telemedicine, including highly functional electronic medical devices like implantable and wearable devices engineered through nanotechnology. It details real-time case studies on smart drug delivery, edge computing, and personalized healthcare applications to provide valuable insights into optimizing network performance and utilization in personalized healthcare. The comprehensive exploration of machine learning algorithms and communication protocols further equips readers with the knowledge to design and implement end-to-end IoBNT solutions.…

Buch. Zustand: Neu. Neuware -Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM. Englisch.…

Zustand: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - Explore the future of logistics and disaster management with this essential guide to the design, applications, and challenges of integrating advanced drone technology into intelligent transportation systems. Drones are quickly becoming an essential technology for navigating inaccessible areas, especially during emergency situations. However, the implementation of these drones requires strict standards, policies, and procedures. Currently, drones are being used in several industrial and service sectors, extending the possibilities of handling transportation and logistics. The future of transportation is based on unmanned vehicles, and it is important to identify their challenges and futuristic applications. Drones for Transportation Logistics and Disaster Management introduces the essential aspects of the technological advancement of drones, the challenges faced in current practices, and their advanced applications. The book describes future intelligent and resilient transportation systems backed by the Internet of Vehicle Things, the problems of big data analytics, and optimization techniques for in-house supply-chain management. Using a global multi-sector perspective, this volume will comprehensively cover essential components of drone systems, including their modeling, design, and maintenance, making it an essential guide for anyone looking to the future of disaster management.…

Zustand: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.