Abstract: To address the issues of model switching lag and insufficient accuracy in the Interacting Multiple Model (IMM) algorithm for tracking complex maneuvering targets, this paper proposes a deep ...
Abstract: While industrial ceiling fans play a vital role in maintaining efficient airflow and system stability within factory settings, surface defects on their blades that arise over time can ...
Abstract: This letter proposes a sparse identification of nonlinear dynamics—physics informed neural network—particle swarm optimization algorithm for optimizing the air-gap design of transformers ...
Abstract: This study proposes a low-level radio frequency (LLRF) feedback control algorithm based on reinforcement learning (RL) using the soft actor–critic (SAC) and proximal policy optimization (PPO ...
The rapid adoption of electric vehicles (EVs) has introduced significant challenges in planning and optimizing charging infrastructure, especially along extensive road networks. This paper presents a ...
Abstract: With the increasing demand of high-precision data acquisition card in application, noise suppression in the process of signal acquisition becomes very important. The existence of noise will ...
Abstract: In combinatorial optimization problems, traditional optimization algorithms are often difficult to efficiently find the global optimal solution. This paper studies the application of genetic ...
Abstract: Aiming at the problem that mainlobe distortion and peak offset caused by mainlobe interference in wideband beamforming, a mainlobe maintenance (MM) wideband beamforming algorithm based on ...
Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...
Abstract: This letter proposes a hierarchical multistate optimization (HMO) method for the microstrip reconfigurable bandpass filter (RBPF). HMO algorithm nests the inner global optimization algorithm ...
Abstract: The main drawback of the second-order Volterra (SOV) filter is that its coefficients increase exponentially with the length of the memory, which has promoted the development of ...
A Dimensional Order Search Based Mapping Algorithm for Deploying DNNs onto Many-Core Neuromorphic IC
Abstract: Many-core neuromorphic integrated circuits (ICs) have the potential advantages of low power consumption, high parallelism, etc. for the edge computing of deep learning. A key problem in the ...
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