|
|
|
Longde Wang, Hui Cao, Zhichao Cui and Zeren Ai
Marine engines confront challenges of varying working conditions and intricate failures. Existing studies have primarily concentrated on fault diagnosis in a single condition, overlooking the adaptability of these methods in diverse working condition. To...
ver más
|
|
|
|
|
|
Jie Zhang, Qiao Wang, Paul Mitchell and Hamed Ahmadi
Integrated access and backhaul (IAB) networks offer transformative benefits, primarily their deployment flexibility in locations where fixed backhaul faces logistical or financial challenges. This flexibility is further enhanced by IAB?s inherent ability...
ver más
|
|
|
|
|
|
Shutong Huang, Ju Jiang and Ouxun Li
In order to obtain good flight performance in the near-space morphing vehicle (NMV) cruise phase, this paper proposes an adaptive sliding mode backstepping control scheme based on a neural network, aiming at the reduction of elevator control efficiency a...
ver más
|
|
|
|
|
|
Nesrine Touafek, Fatima Benbouzid-Si Tayeb and Asma Ladj
In the last decades, the availability constraint as well as learning and deteriorating effects were introduced into the production scheduling theory to simulate real-world case studies and to overcome the limitation of the classical models. To the best o...
ver más
|
|
|
|
|
|
Fengqi Tan, Changchun Bao and Jing Zhou
Adaptive beamforming and deconvolution techniques have shown effectiveness for reducing noise and reverberation. The minimum variance distortionless response (MVDR) beamformer is the most widely used for adaptive beamforming, whereas multichannel linear ...
ver más
|
|
|