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Physical Layer Covert Communication

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

An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era

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Deep Reinforcement Learning for Smart Grid Operations

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Object Detection in 20 Years

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Gradient-based Learning Applied to Document Recognition

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Training Spiking Neural Networks Using Lessons From Deep Learning

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an overview of affective speech synthesis and conversion in the deep learning era

Disturbance Propagation in Power Grids With High Converter Penetration

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A Cyber–Physical–Social Perspective on Future Smart Distribution Systems

power system stability

Power System Stability With a High Penetration of Inverter-Based Resources

model based deep learning

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 operation1

Data-Driven Security and Stability Rule in High Renewable Penetrated Power System Operation

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  1. Machine Learning

    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 …

  2. Research on machine learning algorithms and feature ...

    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 …

  3. 2023 IEEE International Conference on Machine Learning ...

    Read all the papers in 2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) | IEEE Conference | IEEE Xplore.

  4. IEEE

    Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. Read previous issues

  5. Code Generation Using Machine Learning: A …

    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 …

  6. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING …

    Index Terms—deep learning, neural networks, natural lan-guage processing, computational linguistics, machine learning I. INTRODUCTION T HE field of natural language processing …

  7. Proceedings of the IEEE

    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.

  8. Machine Learning: Algorithms, Real-World Applications and …

    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.