Titlebook: Recent Trends in Artificial Intelligence Towards a Smart World; Applications in Indu Rajeev Arya,Subhash Chander Sharma,Brijesh Iyer Book 2

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Connecting the Dots: Unveiling the Power of Sensors in IoT,stigates how sensors work as IoT‘s sensory organs, allowing for the capture of massive volumes of data from the actual world. Sensors are the silent observers who bridge the digital and physical worlds, measuring everything from temperature and humidity to motion and sound. The chapter highlights th

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Customized CNN-Based Condition Monitoring of Road Traffic for Intelligent Transportation Routing,ng the images to improve the quality of the seen information.?Sophisticated deep learning methods are then used to spot helmets using computer vision. This makes road safety better by finding people wearing helmets.?The study also investigates getting car license plates. It uses a mix of image proce

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Enhanced Deep Learning Model for Road Transportation Safety with Accident Detection and Traffic Flonerated by traffic surveillance cameras. Automated solutions are essential since manual data analysis is both labour-intensive and impractical. The goal of our deep learning-based method is to build a traffic detection system that is both quick and accurate, with no human involvement required. The s

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,Unmanned Aerial Networks—UAVs and AI,icial intelligence (AI), and wireless communications. UANs have the capacity to revolutionize various industries and societal operations by enabling tasks such as environmental monitoring and delivery services through interconnected unmanned aerial vehicles (UAVs). The discussion in this chapter cov

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Advancements in Traffic Sign Detection and Recognition for Adverse Image and Motion Artifacts in Tropment of a TSDR that not only demonstrates high accuracy but also demonstrates robustness and reliability in a wide range of real-world scenarios is a critical prerequisite for the safe and widespread adoption of this technology. Nonetheless, the difficulty lies in the significant variability exist

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Building Smart Campuses: Integrating AI in Higher Education, learning experience and administrative efficiency. The foundation of smart campuses is laid out, emphasizing the role of technology in shaping the future of education. Various AI technologies, including machine learning, natural language processing, and predictive analytics, are examined in the con