Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Machine Learning-Based Driver Assistance System Ensuring Road Safety for Smart Cities Description An account of the resource Technologies around smart city and green computing are gaining more and more interest from diversified workforce areas. The transportation system is one of them. The transportation vehicles are operating day and night to provide proper support for the need. This is really tiring for the transportation workers, especially the drivers who are driving the vehicle. A slight negligence of a driver may cause a huge loss. The increasing number of road accidents is therefore a big concern. Research works are going on to comfort the drivers and increase the security features of vehicle to avoid accidents. In this chapter, a model is proposed, which can efficiently detect drivers drowsiness. The discussion mainly focuses on building the learning model. A modified convolution neural network is built to solve the purpose. The model is trained with a dataset of 7000 images of open and closed eyes. For testing purpose, some real-time experiments are done by some volunteer drivers in different conditions, like gender, day, and night. The model is really good for daytime and if the driver is not wearing any glass. But with a glass in the eyes and in night condition, the system needs improvements. 2025 selection and editorial matter, Yousef Farhaoui, Bharat Bhushan, Nidhi Sindhwani, Rohit Anand, Agbotiname Lucky Imoize and Anshul Verma; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Roy A.; Ghosh D. Source A related resource from which the described resource is derived Internet of Things and Big Data Analytics for a Green Environment, pp. 39-49. Publisher An entity responsible for making the resource available CRC Press Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781032656830-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032656830-3</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214150574&amp;doi=10.1201%2F9781032656830-3&amp;partnerID=40&amp;md5=392cdd4c70fd8c9449a54efeb79cae68" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214150574&amp;doi=10.1201%2f9781032656830-3&amp;partnerID=40&amp;md5=392cdd4c70fd8c9449a54efeb79cae68</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104022473-1; 978-103264982-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Roy A., Christ (Deemed to be University), Bangalore, India; Ghosh D., Thapar University, Patiala, India