Browse all the proceedings under International Symposium on Inertial Sensors and Systems INERTIAL | IEEE Conference | IEEE Xplore ...
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 ...
Abstract: Advances in the field of reinforcement learning (RL)-based drive control allow formulation of holistic optimization goals for the data-driven training phase. The resulting controllers ...
Abstract: This article studies the effective traffic signal control problem of multiple intersections in a city-level traffic system. A novel regional multi-agent cooperative reinforcement learning ...
Abstract: Nanotechnology is a multidisciplinary field that will make our life simpler and safer and mitigate our impact on the surrounding environment. With the recent advancements and transformations ...
Abstract: Memristive devices promise an alternative approach toward non-Von Neumann architectures, where specific computational tasks are performed within the memory devices. In the machine learning ...
Abstract: At present, discrete memristor is a focus of chaotic mapping. However, the study of discrete memcapacitor and discrete meminductor has not begun. In order to study the dynamics of discrete ...
Abstract: During the past 20 years, due to the rapid development of China's economy, the amount of coal mining activities has rapidly increased, which has led to a large increase in the number of ...
Abstract: In this article, an adaptive fuzzy fixed-time sliding-mode formation control scheme with prescribed performance is proposed for quadrotor unmanned aerial vehicles (UAVs) under uncertainties ...
Abstract: Jamming is a big threat to radar system survival and anti-jamming is a part of the solution. The classification of radar jamming signal is the first step toward to anti-jamming. Recently, as ...
Abstract: The use of autonomous aerial vehicles (AAVs) for a variety of commercial, civilian, and defense applications has increased many folds in recent years. While AAVs are expected to transform ...
Abstract: A high-precision feature extraction model is crucial for change detection (CD). In the past, many deep learning-based supervised CD methods learned to recognize change feature patterns from ...