IEEE

Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

Abstract: Federated learning obtains a central model on the server by aggregating models trained locally on clients. As a result, federated learning does not require clients to upload their data to ...
IEEE

Power Transformer Tank Rupture and Mitigation—A Summary of Current State of Practice and Knowledge by the Task Force of IEEE Power Transformer Subcommittee

Abstract: Ten presentations made by members of the IEEE Task Force on Transformer Tank Rupture and Mitigation over a course of four Transformer Committee meetings have been summarized. The task force ...
IEEE

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey

Abstract: The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies. However, as these AI and ML ...
IEEE

Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications ...

Abstract: This review provides a detailed synthesis of various in-situ, remote sensing, and machine learning approaches to estimate soil moisture. Bibliometric analysis of the published literature on ...
IEEE

An investigation on the validity of power-direction method for harmonic source determination

Abstract: The power-direction method has been used widely to identify the locations of harmonic sources in a power system. A number of utility-customer disputes over who is responsible for harmonic ...
IEEE

StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

Abstract: Recent studies have shown remarkable success in image-to-image translation for two domains. However, existing approaches have limited scalability and robustness in handling more than two ...