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Biomedical applications and toxicity of nanomaterials
Covers the recent trends on the biological applications of nanomaterials, methods for their preparation, and techniques for their characterization. Further, the book examines the fundamentals of nanotoxicity, methods to assess the toxicity of engineered nanomaterials, approaches to reduce toxicity during synthesis. It also provides an overview of the state of the art in the application of Artificial intelligence-based methodologies for evaluation of toxicity of drugs and nanoparticles. The book further discusses nanocarrier design, routes of various nanoparticle administration, nano based drug delivery systems, and the toxicity challenges associated with each drug delivery method. It presents the latest advances in the interaction of nanoparticles with the cellular environment and assess nanotoxicity of these engineered nanoparticles. The book also explores the comparative and mechanistic genotoxicity assessment of the nanomaterials. This book is useful source of information for industrial practitioners, policy makers, and other professionals in the fields of toxicology, medicine, pharmacology, food, and drugs.
AI in disease detection : Advancements and applications
Discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation.
Community-oriented policing and technological innovations
Presents new approaches and innovative challenges to address bringing technology into community-oriented policing efforts. “Community-oriented policing” is an approach that encourages police to develop and maintain personal relationships with citizens and community organizations. By developing these partnerships, the goal is to enhance trust and legitimacy of police by the community (and vice versa), and focus on engaging the community crime prevention and detection efforts for sustainable, long-term crime reduction. The contributions to this volume emphasize how technological innovations can advance community-oriented policing goals.
China and the World in a Changing Context : Perspectives from Ambassadors to China
This book aims to present an overview of China and the world from diverse angles. It brings together essays by ambassadors to China on a range of bilateral and multilateral issues, including trade and investment, regional economic cooperation, sustainable development, technology and innovation, and entrepreneurship. Given their familiarity with China and extensive international experience, the insights of these ambassadors are useful for policymakers, academics, entrepreneurs, students, and anyone trying to make sense of our rapidly changing world.
Artificial Intelligence and International Economic Law : Disruption, Regulation, and Reconfiguration
This book was finalized while countries around the world were still confronting a global public health crisis caused by the COVID-19 pandemic. Many came to rely on digital services as an infrastructure for social interaction and professional endeavors, including academic and educational work. The pandemic seems to have precipitated a further shift towards digital technologies and artificial intelligence. It is our hope that this book will contribute to an informed discussion about the relevance of and implications for international economic law beyond the pandemic"
Artificial intelligence in the financial services industry
Today, the financial services sector is facing a period of rapid disruption and innovation, and artificial intelligence (AI) is at the heart of these changes. Artificial intelligence can be used to gather enormous amounts of data, detect abnormalities, and solve complex problems. Financial institutions are already experimenting extensively with AI strategies to enhance and streamline financial institutions, BSA and AML compliance, CRA requirements, fraud detection, and real estate valuations, all while reducing cost levels. This book looks at how artificial intelligence is affecting the financial services industry.
Machine learning in healthcare : Fundamentals and recent applications
Discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises.
Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.
Laser additive manufacturing: design, materials, processes and applications
Laser-based additive manufacturing (LAM) is a revolutionary advanced digital manufacturing technology developed in recent decades, which is also a key strategic technology for technological innovation and industrial sustainability. This technology unlocks the design and constraints of traditional manufacturing and meets the needs of complex geometry fabrication and high-performance part fabrication. A deeper understanding of the design, materials, processes, structures, properties and applications is desired to produce novel functional devices, as well as defect-free structurally sound and reliable LAM parts.The topics in this Special Issue reprint include macro- and micro-scale additive manufacturing with lasers, such as structure/material design, fabrication, modeling and simulation, in situ characterization of additive manufacturing processes and ex situ materials characterization and performance, with an overview that covers various applications in aerospace, biomedicine, optics and energy.
Applications of artificial intelligence, big data and internet of things in sustainable development
Focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science.
Advanced mathematical science for mobility society
The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. This book contains three main contents. 1. Mathematical models of flow 2. Mathematical methodsfor huge data and network analysis 3. Algorithm for mobility society The first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation.
Artificial intelligence in dentistry
Provides an introduction to next-generation applications and technologies for improving diagnostic accuracy and prediction of treatment outcomes in dentistry through the use of artificial intelligence (AI) and machine learning (ML). The authors attempt to bridge the gap between dental research and global health outcomes, as well as provide a comprehensive guide to general and clinical aspects of dental and oral health issues and the etiology, prevalence, assessment, and management of these conditions.
3D printing in oral & maxillofacial surgery
A comprehensive guide to 3D printing and 3D bioprinting methods and their application in oral and maxillofacial surgeries. Among the 3D printing methods considered are fused deposition modeling, selective laser sintering, photopolymer jetting, powder binder printing, and stereolithography, while the coverage of 3D bioprinting encompasses inkjet, microextrusion, and laser techniques. In each case, the relevance of the technique to oral and maxillofacial surgery is explained. In addition, the available inks and bioinks for 3D printing are reviewed. The roles of soft and hard tissue printing in oral and maxillofacial tissue engineering and the use of 3D printing in multi- and interfacial tissue engineering are then examined in depth. The particular value of 3D printing in the treatment of critically sized defects is discussed separately. Finally, up-to-date information is provided on guided tissue/bone regeneration using 3D printing. The book will be of interest to both oral and maxillofacial surgeons and biomedical engineers.
Marketing metrics : Leverage analytics and data to optimize marketing strategies
Featuring examples from a range of organizations including Coca-Cola and Mercedes-Benz, it shows how to create a strategy which leverages consumer data for customer-centric marketing, establishes the ROI of channels and campaigns, strengthens brands and creates data-driven product strategies. Covering the range of new global laws that impact consumer privacy and data collection and usage, Marketing Metrics shows how to use data in a non-invasive, secure and ethical way.
Branded content : The fateful merging of media and marketing
This is a critical study of the changing relationship between media and marketing communications in the digital age. It examines the growth of content funded by brands, including brands’ own media, native advertising, and the integration of branded content across film, television, journalism and publishing, online, mobile, and social media.
Artificial Intelligence, Business and Civilization : Our Fate Made in Machines
Looks at what exactly artificial intelligence is, how it can be classified, how it differentiates from other concepts such as machine learning, big data, blockchain, or the Internet-of-Things, and how it has evolved and might evolve over time.
Artificial intelligence for business : A roadmap for getting started with AI
Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist.
AI Strategy for sales and marketing : Connecting marketing, sales and customer experience
AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust.
AI in marketing : Applications, insights, and analysis
AI in marketing equips students with the knowledge to understand the impact of artificial intelligence (AI) on marketing strategies, processes, and activities, empowering them to navigate the AI-driven marketing landscape confidently. divided into four parts, it provides a comprehensive exploration of AI's transformative role in marketing. the first part lays the groundwork, offering foundational insights into the intersection of AI and marketing. Part II explores the various applications of AI in marketing, and the tools marketers use to optimize their processes and deliver enhanced customer experiences. the third part focuses on leveraging AI for consumer insights, enabling marketers to craft data-driven strategies. the final part examines ethical considerations and the pedagogical integration of AI into marketing education.
