Machine Learning Approaches for Convergence of IoT and Blockchain

9Innovative Ideas to Build Smart Cities with the Help of Machine and Deep Learning and IoT

ShylajaVinaykumar Karatangi¹, Reshu Agarwal^2*, Krishna Kant Singh³ and Ivan Izonin⁴

¹G L Bajaj Institute of Technology and Management, Greater Noida, India

²Amity Institute of Information Technology, Amity University, Noida, India

³Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, India

⁴Lviv Polytechnic National University, Ukraine, Europe

Abstract

In today’s modern world, with the advancement of technologies like Internet of Things (IoT) and machine learning (ML), applications have become smarter and connected devices give rise to their exploitations in all aspects of a smarter city. Fast urbanization has achieved incredible difficulties to our everyday lives, for example, traffic clog, natural contamination, vitality utilization, and open security. Research on shrewd urban areas expects to address these issues with different advancements produced for the IoT. Recently, the examination center has moved toward handling of gigantic measure of information consistently created inside a city situation, e.g., physical and participatory detecting information on traffic flow, air quality, and human services. Procedures from computational insight have been applied to process and examine such information and to remove valuable information that assists residents with bettering comprehend their environment and educates city specialists to give better and increasingly ...