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Articles by Sofia Polymeni
Combining Statistical and Machine Learning Methodologies in Energy Consumption Forecasting for Electric Vehicles
Submitted: 28 February 2025 You are already at the latest version Achieving the Sustainable Development Goals (SDG) requires a transition from conventional fossil-fuel-powered vehicles to alternative energy sources, such as electricity. However, accurately forecasting energy consumption remains a critical challenge in the widespread adoption of Electric Vehicles (EVs), as it directly impacts operational efficiency, route planning, and charging strategies.
Toward Sustainable Mobility: AI-Enabled Automated Refueling for Fuel Cell Electric Vehicles
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Smart Agriculture and Greenhouse Gas Emission Mitigation: A 6G-IoT Perspective
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review
1. Introduction Recent advancements in smart devices and wireless communication technologies have facilitated the development of the Internet of Things (IoT), which exploits devices’ pervasive sensing and communication/computing capabilities [1]. IoT is conceptualized more precisely as a network of physical objects comprising hardware, software, sensors, and actuators. It aims to facilitate the collection and transmission of measurement data to data centers, where they can be stored and analyzed.
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