Titlebook: Innovations and Interdisciplinary Solutions for Underserved Areas; 6th EAI Internationa Amar Seeam,Visham Ramsurrun,Amreesh Phokeer Confere

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刺穿

Distracker: An Intelligent Assistant for Real-Time Distracted Driving Detection and Mitigationsiological sensors but finding them intrusive, leading to the rise of computer vision techniques, particularly deep learning, for non-intrusive and real-time detection. While recent research has demonstrated the accuracy of MobileNetV2-tiny in detecting distracted driving using the State Farm Distra

推延

InSightHub: Intelligent Notification and Status Indicator for Streamlined Work-From-Home Environmenttroduces the Smart Notification Bar, a device affixed atop computer monitors that employs IoT technology, facilitated by Raspberry Pi, to provide real-time visual and sound notifications from various platforms, including Gmail, Twitter, and Zoom. The system is designed to be reliable, easy-to-use, s

Collar

Modern Detection Techniques of False Data Injection Attacks in V2X Communication: A Critical Analysinnected and automated vehicles (CAVs). The vehicle-to-everything (V2X) technology, which is used to operate CAVs, has recently gained considerable attention due to its various benefits such as improved road safety, energy efficiency and enhanced traffic efficiency on roads. A significant growth is e

Agnosia

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mortgage

A Mobile/Tablet App-Based Patient Records Management System Using Blockchains an extensive array of services across the globe. With the emergence of new technologies in the medical field, the healthcare universe is drastically evolving to provide better medical care, and such an example is the EHR systems. They changed the manner that patient medical health information is r

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Comparative Performance Evaluation of Random Forest, Extreme Gradient Boosting and Linear Regressionthat may affect the accuracy of the models. Using a typical dataset, this study seeks to accomplish two main goals. First, we fitted three predictive models, including linear regression analysis and two ensemble machine learning algorithms: Random Forest Regressor and Extreme Gradient Boosting Regre

Morbid

XGBoost Algorithm to Predict a Patient’s Risk of Strokend medical diagnostics grows, caregivers are creating opportunities for better patient care by systematically exploring and archiving patient records. The ubiquitous growth of artificial intelligence and its medical applications has improved the efficiency of healthcare systems for patients requirin