supported by China Electric Power Research Institute Innovation Fund Program:Research on inexact data correction and association method for D-IoT(5242001900DS)。
Sustainable development of power and energy systems(PES)can effectively handle challenges of fuel shortage,environmental pollution,climate change,energy security,etc.Data of PES presents distinctive characteristics in...
This work was supported in part by the National Key R&D Program of China(No.2022ZD0160102);the National Natural Science Foundation of China(Grant Nos.61836014,U21B2042,62072457,62006231).
Data augmentation is widely recognized as an effective means of bolstering model robustness.However,when applied to monocular 3D object detection,non-geometric image augmentation neglects the critical link between the...
This work was supported by the National Natural Science Foundation of China(Nos.61972226 and 62172254).
Epistasis is a ubiquitous phenomenon in genetics,and is considered to be one of main factors in current efforts to unveil missing heritability of complex diseases.Simulation data is crucial for evaluating epistasis de...
supported by the Yunnan Major Scientific and Technological Projects(Grant No.202302AD080001);the National Natural Science Foundation,China(No.52065033).
When building a classification model,the scenario where the samples of one class are significantly more than those of the other class is called data imbalance.Data imbalance causes the trained classification model to ...
This study has been supported by the Italian Ministry of Education,University and Research(MIUR)through the“PON Research and Innovation 2014–2020”to G.B.;by the National Biodiversity Future Center(NBFC)CN00000033(CUP UNIPA B73C22000790001),and through the OBIND project N.086202000366(CUP G29J18000700007)to M.T.;by the Italian Foundation for Cancer Research(AIRC)through the 5×1000 I.D.22759 Grant and AIRC Accelerator Award ID.24296 to C.T.;by the Italian Ministry of Education,University and Research(MIUR)Grant 2017K7FSYB to C.T.
Image segmentation is a crucial step in various image analysis pipelines and constitutes one of the cutting-edge areas of digital pathology.The advent of quantitative analysis has enabled the evaluation of millions of...
sponsored by the National Key Research and Development Program of China(2021YFB3802100,2021YFB3802105);the Major Project of Sichuan Science and Technology Department(2022ZDZX0029);the Miaozi Project of Sichuan Science and Technology Department(2023JDRC0097)。
Biomaterials with surface nanostructures effectively enhance protein secretion and stimulate tissue regeneration.When nanoparticles(NPs)enter the living system,they quickly interact with proteins in the body fluid,for...
Fraud of credit cards is a major issue for financial organizations and individuals.As fraudulent actions become more complex,a demand for better fraud detection systems is rising.Deep learning approaches have shown pr...
This work was funded by the Deanship of Scientific Research at Jouf University under Grant Number(DSR2022-RG-0105).
Twitter has emerged as a platform that produces new data every day through its users which can be utilized for various purposes.People express their unique ideas and views onmultiple topics thus providing vast knowled...
supported by the National Natural Science Foundation of China(Grant Nos.61575205 and 62175022);Sichuan Natural Science Foundation(2022NSFSC0803);Sichuan Science and Technology Program(2021JDRC0035).
The nonuniform distribution of interference spectrum in wavenumber k-space is a key issue to limit the imaging quality of Fourier-domain optical coherence tomography(FD-OCT).At present,the reconstruction quality at di...
Project supported by the National Key Research and Development Program of China(Grant No.2020YFC1807905);the National Natural Science Foundation of China(Grant Nos.52079090 and U20A20316);the Basic Research Program of Qinghai Province(Grant No.2022-ZJ-704).
Neural network methods have been widely used in many fields of scientific research with the rapid increase of computing power.The physics-informed neural networks(PINNs)have received much attention as a major breakthr...