Results 171 to 180 of about 8,525 (297)

Multimodal Fusion of 3D CT and Pathological Images for Gastric Cancer Recurrence Prediction. [PDF]

Cancer Manag Res
Cao L, Tian M, Li J, Chen Z, Wang X, Zhong S, Wu G, Tang Z, Yu J.   +8 more
europepmc   +1 more source

A Semantic Segmentation Network for Colorectal Polyp Images With Progressive Fusion of Dual‐Branch Features

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate segmentation of colorectal polyps is essential for early colorectal cancer screening, yet remains challenging due to weak foreground–background contrast, disrupted boundaries caused by specular reflections and intestinal folds, and pronounced scale variation among polyps. These factors make it difficult for existing methods to jointly
Tianxu Yan, Jiabin Yu, Zheng Li, Liangyu Chen, Hongmei Mi, Luyang Chen, Wei Si, Dongping Zhang, Hui Lin   +8 more
wiley   +1 more source

Multi-scale fusion convolution network with progressive dilation for real-time salient object detection of surface defects on strip steel. [PDF]

Sci Rep
Zhang Z, Zou Y, Liu X, Zhang X.
europepmc   +1 more source

Video Super‐Resolution via Effective Spatio‐Temporal Alignment Network

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Extracting spatio‐temporal cues from neighbouring frames is challenging in video super‐resolution (VSR). Although deformable alignment‐based VSR methods have shown promise in aligning neighbouring frames with the reference frame, most existing methods rely on one or a few traditional convolutions to estimate motion offsets for spatio‐temporal ...
Bin Guo, Xin Wang, Hao Wen, Yuhong Fu, Jinxing Li, Hui Ma, Haoqian Wang, Yong Xu   +7 more
wiley   +1 more source

River extraction from high-resolution remote sensing images based on non-uniform sampling and semi-supervised learning. [PDF]

Sci Rep
Wang K, Han L, Li L.
europepmc   +1 more source

Classification of Broadband Oscillations Using Wavelet Convolution and Multi‐Channel Attention Network

Energy Internet, EarlyView.
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang, Ji Li, Yiyan Li, Yang Gao, Qingyuan Zhang, Yang Kou, Xiao Hu, WeiLe Liang   +7 more
wiley   +1 more source

Differential forms and bilinear forms under field extensions

, 2015
: Let F be a field of characteristic p > 0. Let Omega(n)(F) be the F-vector space of n-differentials of F over F-p. Let K = F(g) be the function field of an irreducible polynomial g in in m >= 1 variables over F.
Dolphin, Andrew, Hoffmann, Detlev W.
core  

Optimal Scheduling of Data Centre Integrated Energy Systems Considering Electric‐Thermal Demand Response Under Icing Uncertainty

Energy Internet, EarlyView.
ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang, Hui Hou, Zhengguo Wang, Wenzhe Zheng, Zhengtian Li, Xiangning Lin, Wu Chen   +6 more
wiley   +1 more source

GlomNet: glomeruli segmentation network for WSI with diverse staining protocols for kidney disease diagnosis. [PDF]

Front Med (Lausanne)
Hameed W, Yang G, Wajeeh Us Sima M, Arshad M, Alkhalaf S, Alturise F.   +5 more
europepmc   +1 more source

Efficient non-interactive proof systems for bilinear groups

, 2007
Non-interactive zero-knowledge proofs and non-interactive witness-indistinguishable proofs have played a significant role in the theory of cryptography. However, lack of efficiency has prevented them from being used in practice.
Amit Sahai, Jens Groth
core