|
|
|
|
|
Syed Safdar Hussain and Syed Sajjad Haider Zaidi
This study introduces a novel predictive methodology for diagnosing and predicting gear problems in DC motors. Leveraging AdaBoost with weak classifiers and regressors, the diagnostic aspect categorizes the machine?s current operational state by analyzin...
ver más
|
|
|
|
|
|
|
|
|
Lei Yang, Mengxue Xu and Yunan He
Convolutional Neural Networks (CNNs) have become essential in deep learning applications, especially in computer vision, yet their complex internal mechanisms pose significant challenges to interpretability, crucial for ethical applications. Addressing t...
ver más
|
|
|
|
|
|
|
|
|
Tomasz Walczyna and Zbigniew Piotrowski
The proliferation of ?Deep fake? technologies, particularly those facilitating face-swapping in images or videos, poses significant challenges and opportunities in digital media manipulation. Despite considerable advancements, existing methodologies ofte...
ver más
|
|
|
|
|
|
|
|
|
Yuecheng Li, Liangjie Xu, Xi Huang and Hao Xiao
To enhance cycling comfort, a critical investigation of vibration effects in non-motorized bicycle riding is essential, focusing on road characteristics and traffic features. The analysis of how these elements influence cycling vibrations identified 13 k...
ver más
|
|
|
|
|
|
|
|
|
Hongyu Zhao, Xiaotao Hong, Juanfen Chai, Bo Wan, Kaichao Zhao, Cuihong Han, Wenjing Zhang and Huan Huan
Microplastics (MPs) are abundant in soil and the subsurface environment. They can co-transport with pathogens or act as vectors for pathogens, potentially causing severe ecological harm. The interaction of MPs with pathogens is an important topic. To des...
ver más
|
|
|
|