Accurate sleep stage scoring is crucial for diagnosing sleep disorders. Current methods like Polysomnography (PSG) are time-consuming and costly. This study explores photoplethysmography (PPG) as a non-invasive, cost-effective alternative for classifying all five sleep stages.The model achieved benchmarking result out of existing state of art model. Conclusion: PPG-ViT-NET demonstrates strong performance, showing potential to replace traditional PSG methods for sleep stage classification. Significance: This study paves the way for using PPG and deep learning in wearable devices for at-home sleep monitoring, offering an ergonomic and scalable solution..

The jewelry-making industry faces persistent challenges in achieving precise bead orientation, a crucial step for creating intricate designs efficiently.The proposed system accurately identifies bead orientation, ensuring proper bead placement before the actual design process. Due to very fast processing, our method enables real-time anomaly detection, enhances operational efficiency, and offers flexibility in object detection and orientation. By revolutionizing bead orientation detection, the present research promises to enhance productivity, reduce costs, and ensure quality in jewelry design automation

Panoramic dental images gives an in-depth understanding of the tooth structure, both lower and upper jaws, and surrounding structures throughout the cavity in our mouth.The Panoramic dental images provided have significance for dental diagnostics since they aid in the detection of an array of dental disorders, including oral cancer. We propose a novel approach to automatic joint teeth segmentation using the pioneer Mask Recurrent Convolutional Neural Network (MRCNN) model for dental image segmentation.

In the realm of cutting-edge technology, the convergence of Machine Learning, Deep Learning,Robotics Operating System (ROS), and Simultaneous Localization and Mapping (SLAM) is revolutionizing auto navigation in mobile robots. Leveraging this fusion, our SHAKTI Bot offers unparalleled precision and safety, particularly catering to the Health Hospital Sector.It represents a cost-effective hardware solution with AI and ML capabilities, facilitating real-time decision-making, obstacle avoidance, and route optimization. With a strong emphasis on affordability, adaptability, and enhanced human interaction, SHAKTI Bot seamlessly handles a range of tasks, from object identification to motion planning.

The healthcare industry has experienced a remarkable transformation with the advent of hyperscal computing—a paradigm that leverages vast computing resources to process massive datasets efficiently. From the early days of digitalization to the current state, healthcare data has grown exponentially, driven by electronic health records (EHRs),medical imaging, genomic data, and the increasing use of Internet of Things (IoT) devices in patient monitoring.This chapter explores the evolution of computing in healthcare, detailing the integration of hyper scale computing, key applications, challenges, and future trends.