Green Intelligent and Sustainable Manufacturing: Key Advancements, Benefits, Challenges, and Applications for Transforming Industry

A Khang, S Akhai - Machine Vision and Industrial Robotics in …, 2024 - taylorfrancis.com
This chapter presents an in-depth review of the progress and advantages of intelligent and
sustainable manufacturing, emphasizing prospective implementations across diverse …

Quantum-Based Robotics in the High-Tech Healthcare Industry: Innovations and Applications

A Khang, KC Rath, PTN Anh, SK Rath… - Medical Robotics and …, 2024 - igi-global.com
This chapter explores the emerging field of quantum robotics and its innovative applications
in the healthcare or medical ecosystem. Quantum robotics combines the principles of …

Artificial intelligence (AI)-enabled technology in medicine-advancing holistic healthcare monitoring and control systems

KC Rath, A Khang, SK Rath, N Satapathy… - Computer Vision and …, 2024 - taylorfrancis.com
This chapter presents an exploration of the potential of AI-enabled integrated medicine in
advancing holistic healthcare monitoring and control systems for cancer treatment. The …

Future of Digital Marketing: Hyper-Personalized Customer Dynamic Experience with AI-Based Predictive Models

B Singh, C Kaunert - Revolutionizing the AI-Digital Landscape, 2024 - taylorfrancis.com
Hyper-personalization has emerged as a transformative force, reshaping the way brands
engage with their audiences in the arena of digital marketing. This paradigm shift is being …

Wearable IoT Devices in Rehabilitation: Enabling Personalized Precision Medicine

R Aziz, F Jawed, SA Khan, H Sundus - Medical Robotics and AI …, 2024 - igi-global.com
Internet of things (IoT) holds great promise as a solution for providing continuous, objective,
and comprehensive monitoring, thereby reducing the labour of human care-givers and …

Healthcare Performance in Predicting Type 2 Diabetes Using Machine Learning Algorithms

K Singh, D Barak - Driving Smart Medical Diagnosis Through AI …, 2024 - igi-global.com
The body's imbalanced glucose consumption caused type 2 diabetes, which in turn caused
problems with the immunological, neurological, and circulatory systems. Numerous studies …

Machine Learning Advancements in E-Health: Transforming Digital Healthcare

P Bhambri, A Khang - Medical Robotics and AI-Assisted Diagnostics …, 2024 - igi-global.com
A technologically evolved environment confronts the healthcare business. However,
machine learning (ML) technology could revolutionize patient care, diagnosis, and decision …

Challenges Exist in Translating Brain Signals Into Words Using Brain-Computer Interfaces (BCIs)

R Janapati, SS Reddy, G Anitha, R Shivani… - Medical Robotics and …, 2024 - igi-global.com
The field of translating brain signals into words is rapidly developing and has great potential
to improve the lives of those who have speech problems. Notwithstanding the encouraging …

Role of Cutting-Edge Technologies and Deep Learning Frameworks in the Digital Healthcare Sector

A Khang, B Jadhav, M Sayyed - AI-Driven Innovations in Digital …, 2024 - igi-global.com
Digital healthcare represents the fusion of life sciences and technology, showcasing a
remarkable surge in growth. The acceleration of digital healthcare is primarily propelled by …

Fuzzy Thresholding-Based Brain Image Segmentation Using Multi-Threshold Level Set Model

D Deb, A Khang, AK Chaudhuri - Driving Smart Medical Diagnosis …, 2024 - igi-global.com
Region of interest with reference to medical image is a challenging task. Clustering or
grouping data objects can be used to isolate certain area of interest called image …