Despite its utility in identifying patterns in celestial objects, the Hertzsprung-Russell diagram is not supported in dim or small stars;it struggles to provide insights into certain celestial objects such as brown dw...
supported by the Na‑tional Natural Science Foundation of China Joint Fund(No.U21B2028);the National Key R&D Program of China(No.2021YFC 2100100);the Shanghai Science and Technology Project(Nos.21JC1403400,23JC1402300).
This study presents an innovative approach to improving the performance of YOLO-v8 model for small object detection in radar images.Initially,a local histogram equalization technique was applied to the original images...
This work was supported by the National Natural Science Foundation of China(52205608,62171414,U2341210,52175554);the Fundamental Research Program of Shanxi Province(202303021223008,20210302123059,20210302124610);the National Defense Fundamental Research Project.
Bionic tentacle sensors are important in various fields,including obstacle avoidance,human-machine interfaces,and soft robotics.However,most traditional tentacle sensors are based on rigid substrates,resulting in diff...
the U.S.Department of Energy,Office of Basic Energy Sciences(DOE-BES),Division of Materials Sciences and Engineering under contract ERKCS89.We acknowledge support for 4D-STEM performed as part of user proposal at the Center for Nanophase Materials Sciences(CNMS),which is a US Department of Energy,Office of Science,User Facility.Microscopy performed using instrumentation within ORNL’s Materials Characterization Core provided by UTBattelle,LLC,under Contract No.DE-AC05-00OR22725 with the DOE and sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory,managed by UT-Battelle,LLC,for the U.S.Department of Energy.
Recent advances in scanning transmission electron microscopy(STEM)have led to increased development of multidimensional STEM imaging modalities and novel image reconstruction methods.This interest arises because the m...
supported by National Natural Sciences Foundation of China(No.62271165,62027802,62201307);the Guangdong Basic and Applied Basic Research Foundation(No.2023A1515030297);the Shenzhen Science and Technology Program ZDSYS20210623091808025;Stable Support Plan Program GXWD20231129102638002;the Major Key Project of PCL(No.PCL2024A01)。
Due to the restricted satellite payloads in LEO mega-constellation networks(LMCNs),remote sensing image analysis,online learning and other big data services desirably need onboard distributed processing(OBDP).In exist...
supported by the National Natural Science Foundation of China(62171414,52175554,52205608,U2341210);the Fundamental Research Program of Shanxi Province(20210302123059,20210302124610);the National Defense Fundamental Research Project.
Flexible sensors have been widely studied for use in motion monitoring,human‒machine interactions(HMIs),personalized medicine,and soft intelligent robots.However,their practical application is limited by their low out...
supported by the National Natural Science Foundation of China(62061003);Sichuan Science and Technology Program(2021YFG0192);the Research Foundation of the Civil Aviation Flight University of China(ZJ2020-04,J2020-033)。
Existing specific emitter identification(SEI)methods based on hand-crafted features have drawbacks of losing feature information and involving multiple processing stages,which reduce the identification accuracy of emi...
Deutsche Forschungsgemeinschaft(DFG,German Research Foundation)under Germany’s Excellence Strategy–EXC-2075–390740016.
Dimensionality reduction is often used to project time series data from multidimensional to two-dimensional space to generate visual representations of the temporal evolution.In this context,we address the problem of ...
Neural Networks (NN) are the functional unit of Deep Learning and are known to mimic the behavior of the human brain to solve complex data-driven problems. Whenever we train our own neural networks, we need to take ca...
supported by the Agence Nationale de la Recherche(ANR)(contract“ANR-17-EURE-0002”);by the Region of Bourgogne Franche-ComtéCADRAN Project;supported by the European Research Council(ERC)project HYPATIA under the European Union's Horizon 2020 research and innovation programme.Grant agreement n.835294。
This paper investigates the problem of collecting multidimensional data throughout time(i.e.,longitudinal studies)for the fundamental task of frequency estimation under Local Differential Privacy(LDP)guarantees.Contra...