Bottom Aggregating, Top Separating: An Aggregator and Separator Network for Encrypted Traffic Understanding.

Research on Classification Maintenance Strategy for More Electric Aircraft Actuation Systems Based on Importance Measure.

Dual-Channel Prototype Network for Few-Shot Pathology Image Classification.

CST Framework: A Robust and Portable Finger Motion Tracking Framework.

Global contrast-masked autoencoders are powerful pathological representation learners.

Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism.

Establishing Truly Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning.

Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images.

A reliability estimation method based on signal feature extraction and artificial neural network supported Wiener process with random effects.

A reliability estimation method based on two-phase Wiener process with evidential variable using two types of testing data.

Dual-channel Prototype Network for few-shot Classification of Pathological Images.

Investigating the genealogy of the literature on digital pathology: a two-dimensional bibliometric approach.

An artificial neural network supported Wiener process based reliability estimation method considering individual difference and measurement error.

Twitter's Agenda-Setting Role: A Study of Twitter Strategy for Political Diversion.

Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners.

A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images.

Dynamic radiomics: A new methodology to extract quantitative time-related features from tomographic images.

Coding Convolutional Neural Networks as Spectral Transmittance for Intelligent Hyperspectral Remote Sensing in a Snapshot.

DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network.

A Semianalytic Monte Carlo Simulator for Spaceborne Oceanic Lidar: Framework and Preliminary Results.

Sketch-based shape-constrained fireworks simulation in head-mounted virtual reality.

Cover Image.

Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images.

Validation of the Analytical Model of Oceanic Lidar Returns: Comparisons with Monte Carlo Simulations and Experimental Results.

Gaze Gestures and Their Applications in human-computer interaction with a head-mounted display.

Breast-Shape Classification and Implant Construction Method for Unilateral Breast Reconstruction.

A Programmable Optical Filter With Arbitrary Transmittance for Fast Spectroscopic Imaging and Spectral Data Post-Processing.

Preoperative Prediction of Infection Stones Using Radiomics Features From Computed Tomography.

High Spectral Resolution Raman Measurements Using Light-Emitting Diode as Excitation Based on Weighted Spectral Reconstruction Method.

Biprism-based monocular stereovision system parameter optimization.

Nonuniform bandwidth reservation for tunnels in MPLS network using meter tables of OpenFlow.

Optimizing Segment Routing With the Maximum SLD Constraint Using Openflow.

A Fast Fluorescence Background Suppression Method for Raman Spectroscopy Based on Stepwise Spectral Reconstruction.

Epipolar geometry for prism-based single-lens stereovision.