Electrocardiogram (ECG) is a diagnostic technique which records electrical activity of the heart. Since interpretation of ECG requires expertise, development of automatic ECG analysis systems can aid clinicians. In th...
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The Internet of Things (IoT) connects systems, software, cloud computing, activities and could provide new access points for cyber-attacks. Virus attacks and unauthorized downloading are the two main risks to IoT secu...
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This paper introduces machine learning (ML) as a solution for the detection and range localization of jamming attacks targeting the global positioning system (GPS) technology, with applications to unmanned aerial vehi...
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Cyber-physical systems (CPS) and the Internet of Things (IoT) technologies link urban systems through networks and improve the delivery of quality services to residents. To enhance municipality services, information a...
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Road safety and flood management are major concerns, especially in water-prone areas where pedestrian safety is at risk due to hidden potholes and road hazards to address this issue, a real-time pothole detection and ...
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ISBN:
(纸本)9789819795062
Road safety and flood management are major concerns, especially in water-prone areas where pedestrian safety is at risk due to hidden potholes and road hazards to address this issue, a real-time pothole detection and reporting system is proposed, aiming to enhance pedestrian safety during flooding. The system offers many benefits, such as improved road safety, reduced accidents and injuries due to potholes, real-time monitoring, and reporting of road conditions to enable priority action. The application uses the Map API for real-time pothole location tracking and uses the YOLOv8 module, an advanced object detection technique, to identify potholes from images taken by users. Known pothole locations are stored in a database that can be accessed by real-time users and government officials. User feedback and app usage statistics are included in the dataset to evaluate the efficiency of the application and the accuracy of the YOLOv8 module. Ethical considerations such as user data privacy and informed consent are considered to ensure responsible data handling. The proposed machine's contribution to society is tremendous, with capacity benefits such as stepped-forward street protection, decreased vehicle damage and repair prices, extended performance in avenue protection, better travel experiences, and effective environmental impacts from reduced fuel intake and emissions. The machine's destiny scope consists of incorporating additional features like actual-time traffic statistics, street closures, and protecting greater avenue hazards inclusive of debris and flooding. Machine mastering and AI technology may be in addition employed to enhance pothole detection precision. Overall, this research paper provides a comprehensive method for tackling road safety issues in the course of floods through a value-effective and green Real-time Pothole Detection and Notification System. The ability effect of this machine on pedestrian protection and avenue protection, at the side of de
Social networks are an essential component of people' daily lives, and as a result, much academic attention has been focused on them. The rapid adoption of machine learning as a problem-solving tool, which simplif...
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Nuclei pathology is important for diagnosing various diseases and cancer. It is responsible for examining cellular structures found in tissue samples. Laboratories have the challenge of accurate nuclei classification ...
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Symbolic regression (SR) is a subdomain of evolutionary computing which aims to generate mathematical equations which best fit a given dataset. This is done with the help of genetic algorithms. Symbolic Regression is ...
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This article presents a simulation study on the use of LoRaWAN technology in autonomous vehicles. The research focuses on developing an Auto-Handover Gateway for Autonomous Vehicles, utilizing LoRaWAN parameters such ...
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This newsletter examines a ramification of unsupervised mastering strategies for financial forecasting. The number one consciousness has been using strategies inclusive of k-suggest clustering and principal thing eval...
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