Results 231 to 240 of about 170,547 (339)

A family like this. [PDF]

CMAJ
Cheng A.
europepmc   +1 more source

Influence of rock stratification on the performance of tailored wetting agents in open pit coal mines. [PDF]

Sci Rep
Zhao X, Shen Z, Bharti B, Han F, Feng S.
europepmc   +1 more source

Electric trains for reduction of fuel consumption and emissions from the freight transport in Jordan. [PDF]

PLoS One
Sassine C.
europepmc   +1 more source

The Brother [PDF]

, 2004
Paul, John Steven
core   +2 more sources

AT‐AER: Adversarial Training With Adaptive Example Reuse

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Adversarial training (AT) is widely regarded as a crucial defense method for deep neural networks against adversarial attacks. Most of the existing AT methods suffer from the problems of insufficient coverage of perturbation space and robust overfitting.
Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang, Rihao Li, Qin Wang   +5 more
wiley   +1 more source

Model-Free Adaptive Model Predictive Control for Trajectory Tracking of Autonomous Mining Trucks. [PDF]

Sensors (Basel)
Xu F, Zhang Q, Feng J, Zhou C.
europepmc   +1 more source

Minimum Price Fixing in the Bituminous Coal Industry [PDF]

Charles M. James, Waldo E. Fisher
core  

CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng, Lintai Wu, Jie Wen, Tianhao Peng, Yong Xu, Zairong Wei   +5 more
wiley   +1 more source

Research on adaptive hydraulic drive optimization control of concrete mixing tank truck for open-pit mine. [PDF]

PLoS One
Liu G, Ren C, Chai S, Wang X, Liu W.
europepmc   +1 more source

YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry

High Voltage, EarlyView.
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao, Jiamin Guo, Erbao Dong, Rui Guo, Linkun Zhao, Chaoqun Wang, Xuewen Rong, Yibin Li   +7 more
wiley   +1 more source