Affiliation:
1. DOKUZ EYLÜL ÜNİVERSİTESİ
Abstract
The convergence of the Internet of Things and Machine Learning shapes key developments in information technologies, such as the Internet of Everything environment. The Internet of Things' Machine-to-Machine connectivity advances, real-time Big Data storage, and data-driven Machine Learning synergize the scope of Internet of Everything innovations. As the Internet of Things and Machine Learning merger continues, the Internet of Everything reshapes the world sector map by providing unprecedented possibilities and efficiencies. The propelled Internet of Everything is ushering in a new era of transformative projects in various sectors such as Healthcare and Life Science, Manufacturing, Agriculture, Energy, Transportation, and Construction. The high-tech transformative projects offer many applications in process optimization, cost reduction, increased productivity, and efficiency. Our work examines the prominent joint Internet of Things and Machine Learning initiatives, projects and works to encourage new initiatives and multidisciplinary work worldwide. We also discuss the benefits of transformative projects in different sectors in detail and put forward a forecast for their future roles. Our study is supported by solid academic literature and project examples.
Publisher
International Advanced Researches and Engineering Journal
Reference80 articles.
1. 1. Munirathinam, S., Industry 4.0: Industrial Internet of Things (IIOT). Advances in Computers, 2020, 117(1): p. 129-164.
2. 2. Sinha, S., State of IoT 2023: Number of connected IoT devices growing 16% to 16.7 billion globally. IoT Analytics, 2023.
3. 3. Beecham Research Limited Company, World of IoT Sector Map. Beecham Research, 2008.
4. 4. Rahman, M. S., Ghosh, T., Aurna, N. F., Kaiser, M. S., Anannya, M., Hosen, ASMS, Machine Learning and Internet of things in industry 4.0: A review. Measurement: Sensors, 2023, 28: p. 100822.
5. 5. Kaur, M. J., Mishra, V. P., & Maheshwari, P., The Convergence of Digital Twin, IoT, and Machine Learning: Transforming Data into Action. Digital Twin Technologies and Smart Cities, 2019, p. 3-17.