IEEE

Generative Adversarial Networks: An Overview

Abstract: Generative adversarial networks (GANs) provide a way to learn deep representations without extensively annotated training data. They achieve this by deriving backpropagation signals through ...
IEEE

Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks

Abstract: Missing data is a ubiquitous problem. It is especially challenging in medical settings because many streams of measurements are collected at different-and often irregular-times. Accurate ...
IEEE

Coupled Temporal Variation Information Estimation and Resolution Enhancement for Remote Sensing Spatial–Temporal–Spectral Fusion

Abstract: Spatial–temporal–spectral fusion (STSF) of remote sensing imagery can produce data with the highest spatial and spectral resolution, only as well as fine temporal resolution, by integrating ...
IEEE

A Linear Near-Field Interference Cancellation Method Based on Deconvolved Conventional Beamformer Using Fresnel Approximation

Abstract: In underwater acoustic detection using towed arrays, the in-band radiation noise of the tow-ship generates significant interference. In this article, a high-resolution spatial filter based ...
IEEE

Prescribed Performance Adaptive Robust Control for Robotic Manipulators With Fuzzy Uncertainty

Abstract: This article studies a prescribed performance adaptive robust control (PPARC) scheme for uncertain robotic manipulators. First, a state transformation is introduced to embed the predefined ...
IEEE

Shifty: A Weight-Shifting Dynamic Passive Haptic Proxy to Enhance Object Perception in Virtual Reality

Abstract: We define the concept of Dynamic Passive Haptic Feedback (DPHF) for virtual reality by introducing the weight-shifting physical DPHF proxy object Shifty. This concept combines actuators ...
IEEE

Industrial Metaverse-Based Intelligent PID Optimal Tuning System for Complex Industrial Processes

Abstract: In this article, the method of dynamic performance monitoring and adaptive self-tuning of parameters for actual PID control systems of industrial processes in virtual reality scenes is ...
IEEE

Optimal Control of Voltage Forming Grid Inverters by Model Predictive Control and Reinforcement Learning

Abstract: Optimal control approaches, such as model predictive control (MPC) and reinforcement learning (RL), are promising for decentralized grid applications but face challenges related to model ...
IEEE

Modeling and Resilience Analysis of Combat Systems-of-Systems Based on Kill Web

Abstract: A reasonable assessment of combat systems-of-systems (CSoS) resilience is of great value to the improvement and optimization of the CSoS structure, to improve weapon construction efficiency, ...
IEEE

Topic-sensitive PageRank: a context-sensitive ranking algorithm for Web search

Abstract: The original PageRank algorithm for improving the ranking of search-query results computes a single vector, using the link structure of the Web, to capture the relative "importance" of Web ...
IEEE

Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the ...
IEEE

Germanium-Gallium Arsenide Heterojunctions [Letter to the Editor]

Abstract: Abrupt monocrystalline junctions between two different semiconductor materials (heterojunctions) 1 have been made by depositing germanium epitaxially on gallium arsenide substrates. The ...