The rise of the Internet of Things (IoT) has led to a numer- ous and diverse amount of products and real life implementations for smart cities in the last few years. With the many opportunities and challenges, the academic and industrial field has come up with many hardware and middleware platforms. We categorise these different IoT applications and solutions into different domains and present an appli- cation for each. This survey aims at defining the state-of-the-art major and common technologies, frameworks, and applications used to open doors to drive future research and to spark new ideas for other industrial ventures. Also, we discuss the significant challenges, and opportunities facing this field. Keywords:
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Khalifa, N. E. M., & Taha, M. H. N. (2019). Aquarium Family Fish Species Identification System Using Deep Neural Networks NourProceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018. Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018(January), 347–356. Retrieved from http://link.springer.com/10.1007/978-3-319-99010-1
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