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Physical Layer Covert Communication in B5G Wireless Networks—Its Research, Applications, and Challenges
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era
Deep Reinforcement Learning for Smart Grid Operations
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Disturbance Propagation in Power Grids With High Converter Penetration
A Cyber–Physical–Social Perspective on Future Smart Distribution Systems
Power System Stability With a High Penetration of Inverter-Based Resources
Model-Based Deep Learning at Intersection of Signal Processing and Machine Learning Detailed in Proceedings of the IEEE Paper
Data-Driven Security and Stability Rule in High Renewable Penetrated Power System Operation
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In machine learning, a computer first learns to perform a task by studying a training set of examples. The computer then performs the same task with data it hasn't …
Abstract: This paper aims to use various machine learning algorithms and explore the influence between different algorithms and multi-feature in the time series. The real consumption records …
Read all the papers in 2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) | IEEE Conference | IEEE Xplore.
Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. Read previous issues
This review provides a broad and detailed overview of studies for code generation using ML. We selected 37 publications indexed in arXiv and IEEE Xplore databases that train ML models on programming language data to generate …
Index Terms—deep learning, neural networks, natural lan-guage processing, computational linguistics, machine learning I. INTRODUCTION T HE field of natural language processing …
The goal of this article is to provide a holistic overview of relevant communication and machine learning (ML) principles, and thereby present communication-efficient and distributed ML frameworks with selected use cases.
In this paper, we present a comprehensive view on these machine learning algorithms that can be applied to enhance the intelligence and the capabilities of an application.