Mohammad S. Khan – författare

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS).

The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture.

Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19 Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS).The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture.- Offers perspectives on the design, development and commissioning of intelligent applications- Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19- Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques

Soft robotics is an emerging field that involves the development and application of robots and robotic systems made from soft and flexible materials. Soft Robotics for Medical and Healthcare Applications discusses the use of soft robotics in minimally invasive vascular surgery, for clubfoot, and filariasis leg.The title:Discusses soft robot design which is helpful for researchers and students to design the mechanisms for problems like filariasis leg, and personalized rehabilitation devicesCovers metal additive manufacturing processes used for soft robot parts printingExplains design, actuation, manufacturing, and analysis of soft robots for healthcare applicationsExplores 3D and 4D printing for soft robotics, data-driven soft robotics, and the use of soft robotics in drug deliveryPresents case studies including the creation of custom filariasis limbs and the application of soft robots in minimally invasive vascular surgeryThe text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and biomedical engineering.

Soft robotics is an emerging field that involves the development and application of robots and robotic systems made from soft and flexible materials. Soft Robotics for Medical and Healthcare Applications discusses the use of soft robotics in minimally invasive vascular surgery, for clubfoot, and filariasis leg.The title:Discusses soft robot design which is helpful for researchers and students to design the mechanisms for problems like filariasis leg, and personalized rehabilitation devicesCovers metal additive manufacturing processes used for soft robot parts printingExplains design, actuation, manufacturing, and analysis of soft robots for healthcare applicationsExplores 3D and 4D printing for soft robotics, data-driven soft robotics, and the use of soft robotics in drug deliveryPresents case studies including the creation of custom filariasis limbs and the application of soft robots in minimally invasive vascular surgeryThe text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and biomedical engineering.

Smart cyber‑physical systems (SCPS) are revolutionizing the interaction between the physical and digital realms, driving innovation across diverse fields. This book provides an extensive overview of cutting‑edge SCPS technologies, highlighting their applications, challenges, and transformative potential. Designed for researchers, professionals, and students, it offers foundational insights and advanced applications in urban planning, healthcare, transportation, finance, and cybersecurity. It also bridges the gap between theory and practice through real‑world case studies and in‑depth analysis, showcasing how SCPS address critical global challenges. This book:Provides a comprehensive introduction to SCPS, their components, and their applications in various domains and explores their role in enabling sustainable smart cities and urban planningProvides advanced SCPS‑based solutions for optimizing supply chain logistics and route planning and real‑world applications of SCPS in healthcare, including wearable technology and remote patient monitoring, and financial modeling, comparing investment indices using advanced techniquesDiscusses the integration of artificial intelligence and machine learning in autonomous vehicle systems and transportationAnalyzes cybersecurity challenges in cryptocurrency and blockchain ecosystemsFocuses on innovations in energy management, including smart grids and sustainable practices powered by SCPS, and explores adaptive human–machine interaction frameworks for enhanced decision‑makingThis book serves as a vital resource for understanding the transformative power of SCPS and inspires further research and development in this dynamic and rapidly evolving field.

Soft robotics is an emerging field that involves the development and application of robots and robotic systems made from soft and flexible materials. Soft Robotics for Medical and Healthcare Applications discusses the use of soft robotics in minimally invasive vascular surgery, for clubfoot, and filariasis leg.

The title:

Discusses soft robot design which is helpful for researchers and students to design the mechanisms for problems like filariasis leg, and personalized rehabilitation devices Covers metal additive manufacturing processes used for soft robot parts printing Explains design, actuation, manufacturing, and analysis of soft robots for healthcare applications Explores 3D and 4D printing for soft robotics, data-driven soft robotics, and the use of soft robotics in drug delivery Presents case studies including the creation of custom filariasis limbs and the application of soft robots in minimally invasive vascular surgery

The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and biomedical engineering.

Soft robotics is an emerging field that involves the development and application of robots and robotic systems made from soft and flexible materials. Soft Robotics for Medical and Healthcare Applications discusses the use of soft robotics in minimally invasive vascular surgery, for clubfoot, and filariasis leg.

The title:

Discusses soft robot design which is helpful for researchers and students to design the mechanisms for problems like filariasis leg, and personalized rehabilitation devices Covers metal additive manufacturing processes used for soft robot parts printing Explains design, actuation, manufacturing, and analysis of soft robots for healthcare applications Explores 3D and 4D printing for soft robotics, data-driven soft robotics, and the use of soft robotics in drug delivery Presents case studies including the creation of custom filariasis limbs and the application of soft robots in minimally invasive vascular surgery

The text is primarily written for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and biomedical engineering.

Smart Cyber-Physical Systems (SCPS) are revolutionizing the interaction between the physical and digital realms, driving innovation across diverse fields. This book provides an extensive overview of cutting-edge SCPS technologies, highlighting their applications, challenges, and transformative potential. Designed for researchers, professionals, and students, it offers foundational insights and advanced applications in urban planning, healthcare, transportation, finance, and cybersecurity. It also bridges the gap between theory and practice through real-world case studies and in-depth analysis, showcasing how SCPS addresses critical global challenges.

This book:

Provides a comprehensive introduction to Smart Cyber-Physical Systems, their components, and applications in various domains and explores their role in enabling sustainable smart cities and urban planning. Provides advanced SCPS-based solutions for optimizing supply chain logistics and route planning and real-world applications of SCPS in healthcare, including wearable technology and remote patient monitoring, and financial modeling, comparing investment indices using advanced techniques. Discusses AI and machine learning integration in autonomous vehicle systems and transportation. Analyses cybersecurity challenges in cryptocurrency and blockchain ecosystems. Focuses on innovations in energy management, including smart grids and sustainable practices powered by SCPS and explores adaptive human-machine interaction frameworks for enhanced decision-making.

This book serves as a vital resource for understanding the transformative power of SCPS and inspires further research and development in this dynamic and rapidly evolving field.

Smart Cyber-Physical Systems (SCPS) are revolutionizing the interaction between the physical and digital realms, driving innovation across diverse fields. This book provides an extensive overview of cutting-edge SCPS technologies, highlighting their applications, challenges, and transformative potential. Designed for researchers, professionals, and students, it offers foundational insights and advanced applications in urban planning, healthcare, transportation, finance, and cybersecurity. It also bridges the gap between theory and practice through real-world case studies and in-depth analysis, showcasing how SCPS addresses critical global challenges.

This book:

Provides a comprehensive introduction to Smart Cyber-Physical Systems, their components, and applications in various domains and explores their role in enabling sustainable smart cities and urban planning. Provides advanced SCPS-based solutions for optimizing supply chain logistics and route planning and real-world applications of SCPS in healthcare, including wearable technology and remote patient monitoring, and financial modeling, comparing investment indices using advanced techniques. Discusses AI and machine learning integration in autonomous vehicle systems and transportation. Analyses cybersecurity challenges in cryptocurrency and blockchain ecosystems. Focuses on innovations in energy management, including smart grids and sustainable practices powered by SCPS and explores adaptive human-machine interaction frameworks for enhanced decision-making.

This book serves as a vital resource for understanding the transformative power of SCPS and inspires further research and development in this dynamic and rapidly evolving field.