Abstract: Remote sensing images are usually characterized by complex backgrounds, scale and orientation variations, and large intraclass variance. General semantic segmentation methods usually fail to ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5 ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=9 ...
Abstract: A method based on deep neural network (DNN) optimized model predictive control (MPC) and standoff fusion is proposed to address the problem of tracking moving target trajectory planning for ...
Abstract: The current optical convolution architectures are facing challenges related to limited scalability, excessive data redundancy and restricted processing bandwidth. In this work, we introduce ...
Abstract: The unit quaternion is one of the most commonly utilized attitude representations because of its global representation and singularity-free properties. Nevertheless, the double cover ...
Abstract: The rapid development of deepfake technology poses challenges to face-centered data security. Existing methods primarily focus on how to transfer deepfake detectors from the source domain to ...
Abstract: Federated Learning (FL) is a distributed machine learning framework that allows multiple clients to collaboratively train an intermediate model with keeping data local, however, sensitive ...
Abstract: As a cornerstone in the Evolutionary Computation (EC) domain, Differential Evolution (DE) is known for its simplicity and effectiveness in handling challenging black-box optimization ...
Abstract: This brief presents a resolution-reconfigurable successive-approximation-register (SAR) analog-to-digital converter (ADC). The reconfigurable capacitor digital-to-analog converter (CDAC) is ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=36 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback