IEEE

Using Long Short-Term Memory Neural Network for Satellite Orbit Prediction Based on Two-Line Element Data

Abstract: The space environment is becoming increasingly crowded, raising the likelihood of collisions between satellites. Accurate prediction of satellite orbits is crucial for space transportation ...
thorax.bmj

Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches

Background Low-dose CT screening can reduce lung cancer-related mortality. However, most screen-detected pulmonary abnormalities do not develop into cancer and it often remains challenging to identify ...
C&EN

Doping the Undopable: Hybrid Molecular Beam Epitaxy Growth, n-Type Doping, and Field-Effect Transistor Using CaSnO

Department of Chemical Engineering and Materials Science, University of Minnesota−Twin Cities, Minneapolis, Minnesota 55455, United States ...
C&EN

Alkali-Resistant Catalytic Reduction of NO x by Using Ce–O–B Alkali-Capture Sites

State Key Laboratory of Advanced Special Steel, School of Materials Science and Engineering, International Joint Laboratory of Catalytic Chemistry, College of Sciences, Shanghai University, No. 99 ...
SDxCentral

Microsoft plans to fix AI infrastructure's power problem using display technology

AI infrastructure is hitting a power wall, and Microsoft believes the solution lies in technology borrowed from smartwatch displays. While power efficient, traditional copper links have a limited ...
IEEE

Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network

Semi-Supervised Medical Image Segmentation Using Adversarial Consistency Learning and Dynamic Convolution Network Publisher: IEEE ...