Sunil Gupta

The "Great Thinkers in Marketing" series highlights the significant contributions of the most influential scholars to marketing research, theory, and practice. The series and volume editors organize each legend's most impactful articles into several volumes as an anthology set. Volume editors also seek commentaries from other scholars familiar with the legend's work on the articles included in that volume. This set, comprising six volumes of contributions of Donald Lehmann, covers a broad spectrum of topics relating to customer behavior and decision-making processes, the estimation of stochastic models, empirical replication for theoretical generalization, advertising and branding, new product and innovation diffusion, and performance outcomes of marketing strategy. This volume, edited by Jacob Goldenberg and Sunil Gupta, synthesizes Lehmann’s work on innovation diffusion, strategy, and marketing performance. Along with his articles on these topics, it features an interview with Lehmann and three insightful commentaries from well-known scholars in this field. Of great theoretical and practical relevance, the chapters in this volume enhance the understanding of how marketing strategies lead to innovation diffusion and successful performance outcomes.

Metaverse is an emerging trend these days. It reflects in every field, like education, entertainment, business, and even healthcare. As we can experience, the Healthcare industry is constantly transforming due to emerge of new trends and technologies like moving from X-Rays to digital reports and from telehealth to Virtual Reality. It is a vast digital shift from regular practices to innovative techniques for efficient healthcare services. Metaverse plays a significant role in changing healthcare because it connects innovative technologies like Artificial Intelligence, Virtual Reality, Augmented Reality, IoT, Web 3.0, Quantum Computing, Robotics, etc. This book discusses the application area of utilizing Metaverse in Healthcare services. It focuses on various research trends and technologies related to implementing a metaverse in healthcare systems. It also covers challenges, emerging trends and techniques, and future directions for meta-healthcare systems.

The book "AI-Enabled Healthcare Security: Safeguarding Patient Data and Improving Outcomes" focuses on the role of artificial intelligence in enhancing healthcare security and improving patient outcomes. It covers the challenges and risks associated with cybersecurity threats in the healthcare industry and explores the use of AI-based cybersecurity solutions, machine learning algorithms, and predictive analytics to mitigate those risks. The book is intended for healthcare professionals, cybersecurity experts, AI practitioners, and anyone interested in the intersection of healthcare, cybersecurity, and AI. It also highlights emerging technologies and future trends in AI and healthcare security.

Ce livre pr sente un travail de recherche sur l'identification et le contr le des syst mes non lin aires bas sur l'approche des mod les flous. Un mod le flou TS a t mis en oeuvre avec succ s pour un probl me de r f rence connu de l'identification des donn es non lin aires de l'usine. L'approche FCM Clustering a t utilis e pour la classification des points de donn es d'entr e-sortie. Apr s le regroupement, la m thode de descente de gradient est utilis e pour l'apprentissage des param tres. Le syst me a galement t mis en oeuvre sur un probl me de donn es r elles qui est un mod le de contr le d'une usine chimique par un op rateur et la pr cision tait comparable aux r sultats rapport s dans la litt rature. L'ensemble du syst me a t mod lis l'aide de MATLAB 7.0/Simulink toolbox.

Este livro apresenta um trabalho de investiga o sobre a Identifica o e Controlo de Sistemas N o-Lineares baseado na abordagem de Modelos Difusos. Um modelo fuzzy TS foi implementado com sucesso num problema de refer ncia conhecido de identifica o de dados de plantas n o lineares. A abordagem baseada no agrupamento FCM foi utilizada para a classifica o dos pontos de dados de entrada-sa da. Ap s o agrupamento, o m todo de descida do gradiente utilizado para a aprendizagem dos par metros. Tamb m foi implementado num problema de dados reais, que um modelo de controlo de um operador de uma f brica de produtos qu micos, e a precis o foi compar vel aos resultados relatados na literatura. Todo o sistema foi modelado utilizando a caixa de ferramentas MATLAB 7.0/Simulink.

Questo libro presenta un lavoro di ricerca sull'identificazione e il controllo di sistemi non lineari basato sull'approccio dei modelli fuzzy. Un modello fuzzy TS stato implementato con successo su un problema noto di identificazione di dati di impianti non lineari. Per la classificazione dei punti dati di ingresso e uscita stato utilizzato un approccio basato sul clustering FCM. Dopo la clusterizzazione, il metodo di discesa del gradiente stato utilizzato per l'apprendimento dei parametri. stato inoltre implementato su un problema di dati reali, ovvero un modello di controllo di un impianto chimico da parte di un operatore, e l'accuratezza risultata paragonabile ai risultati riportati in letteratura. L'intero sistema stato modellato utilizzando MATLAB 7.0/Simulink toolbox.

Dieses Buch stellt eine Forschungsarbeit zur Identifikation und Steuerung nichtlinearer Systeme auf der Basis von Fuzzy-Modellen vor. Ein TS-Fuzzy-Modell wurde erfolgreich f r ein bekanntes Benchmark-Problem der Identifikation nichtlinearer Anlagendaten implementiert. F r die Klassifizierung der Input-Output-Datenpunkte wurde ein FCM-Clustering-Ansatz verwendet. Nach dem Clustering wird die Methode des Gradientenabstiegs f r das Lernen der Parameter verwendet. Das Verfahren wurde auch auf ein reales Datenproblem angewandt, bei dem es sich um ein Modell der Steuerung einer Chemieanlage durch einen Bediener handelt, und die Genauigkeit war mit den in der Literatur ver ffentlichten Ergebnissen vergleichbar. Das gesamte System wurde mit MATLAB 7.0/Simulink Toolbox modelliert.

Digital twin technology has been rapidly evolving and gaining popularity in various fields such as manufacturing, energy, healthcare, and transportation. Digital twin is a virtual representation of a physical system or process that enables real-time monitoring, analysis, and optimization. This book will provide a comprehensive understanding of digital twin technology, its advancements, and applications. It will be useful for researchers, academics, practitioners, and students who are interested in the fields of engineering, computer science, data analytics, and Industry 4.0.

This book is about the use of technology/artificial intelligence in the areas of human behavior and psychology, health and nutrition, and fitness and sports. Everybody has his/her own lifestyle but may not necessarily be aware of what constitutes a healthy lifestyle.

Healthcare has become an extremely important and relevant topic in day to day discussions ever since the COVID-19 pandemic has been encountered by the global population. This has led to a renewed focus and attention that researchers from every discipline have put in to realize better strategies for healthcare management in general. This book is an attempt to put to use recent advancements in the field of the Internet of Medical Things often called IoMT, which is an extension of IoT for real-time, data analytics-driven prompt and quality healthcare to global citizens. Security has been always a challenge with pervasive technologies like IoMT and IoT, and thus usage of disruptive technology like blockchain to offset the security concerns that surround the data and network management. Therefore, this book is an honest attempt to provide directions to applied areas of research in IoMT for healthcare with the aid and help of Blockchain Technologies.

This book is about the use of technology/artificial intelligence in the areas of human behavior and psychology, health and nutrition, and fitness and sports. Everybody has his/her own lifestyle but may not necessarily be aware of what constitutes a healthy lifestyle. Knowledge gained from the Internet may be scattered and inaccurate and, if adhered to, may lead to loss of life. The COVID-19 pandemic increased people's awareness of the need for a healthy lifestyle but how to adopt a healthy lifestyle is something to be clarified since every individual is different (body type, situation, etc.), and hence, their needs will be different as well. This book addresses such questions and explores how the use of technology in the areas mentioned above can enable each individual to easily achieve a healthy lifestyle.