IEEE

DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning

Abstract: Heating, ventilation, and air conditioning (HVAC) are extremely energy consuming, accounting for 40% of total building energy consumption. It is crucial to design some energy-efficient ...
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

AdaBalGAN: An Improved Generative Adversarial Network With Imbalanced Learning for Wafer Defective Pattern Recognition

Abstract: Identification of the defective patterns of the wafer maps can provide insights for the quality control in the semiconductor wafer fabrication systems (SWFSs). In real SWFSs, the collected ...
IEEE

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Abstract: Self-supervised learning (SSL) achieves great success in speech recognition, while limited exploration has been attempted for other speech processing tasks. As speech signal contains ...
IEEE

Intelligent Quality Control of Surface Defects in Fabrics: A Comprehensive Research Progress

Abstract: Fabric defect detection is a crucial step of quality control in textile enterprises. The use of computer vision inspection technology in the textile industry is key to achieving intelligent ...
IEEE

Data-Driven Model Predictive Control for Redundant Manipulators With Unknown Model

Abstract: The tracking control of redundant manipulators plays a crucial role in robotics research and generally requires accurate knowledge of models of redundant manipulators. When the model ...
IEEE

Supply Chain Network Robustness Against Disruptions: Topological Analysis, Measurement, and Optimization

Abstract: This paper focuses on understanding the robustness of a supply network in the face of a disruption. We propose a decision support system for analyzing the robustness of supply chain networks ...
IEEE

A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing

Abstract: The state-of-the-art technologies in new generation information technologies (New IT) greatly stimulate the development of smart manufacturing. In a smart manufacturing environment, more and ...
IEEE

Carbon Emission Flow From Generation to Demand: A Network-Based Model

Abstract: Clarification of the responsibility for carbon emission is fundamental in a carbon-constrained world. Existing statistical methods for carbon emission estimation usually attribute the ...
IEEE

A 14 Bit 1 GS/s RF Sampling Pipelined ADC With Background Calibration

Abstract: We discuss a 14 bit 1 GS/s RF sampling pipelined ADC that utilizes correlation-based background calibration to correct the inter-stage gain, settling and memory errors. To improve the ...
IEEE

Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies

Abstract: This paper presents a comprehensive review of emerging technologies for the internet of things (IoT)-based smart agriculture. We begin by summarizing the existing surveys and describing ...