supported by the National Key R&D Program of China(2022ZD0118802);the National Natural Science Foundation of China(Grant Nos.U20B2064 and U21B2043).
The pixel-wise dense prediction tasks based on weakly supervisions currently use Class Attention Maps(CAMs)to generate pseudo masks as ground-truth.However,existing methods often incorporate trainable modules to expan...
This paper is supported by“Unveiling the List and Leading the Way”Science and Technology Research Project from Heilongjiang Province(2021ZXJ02A03);Major Science and Technology Support Action Plan for the“Millions”Project in Heilongjiang Province(2020ZX04A01);the Natural Science Foundation of Heilongjiang Province(LH2024E112).
Deep mining,characterized by high stress,elevated geothermal gradients,and significant moisture content,significantly increases the risk of Coal Spontaneous Combustion(CSC),posing a major threat to mine safety.This st...
Project supported by the Science and Technology Plan Joint Program of Liaoning Province of China(Natural Science Foundation-Doctoral Research Launch Project)(No.2024-BSLH-027);the Fundamental Research Funds for Undergraduate Universities of Liaoning Province of China(No.LJBKY2024033);the National Natural Science Foundation of China(No.12472064);the Natural Science Foundation of Liaoning Province of China(No.2023-MS-118)。
In recent years,magneto-electro-elastic(MEE)cylindrical shells with step-wise thicknesses have shown significant potential in the field of vibration energy harvesting.To aid the design of such energy harvesting device...
We introduce and analyze a family of linear least-squares Monte Carlo schemesfor backward SDEs, which interpolate between the one-step dynamic programmingscheme of Lemor, Warin, and Gobet (Bernoulli, 2006) and the mul...