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View article: Temperature-Dependent Anisotropic Mechanical and Microstructural Characteristics of Alsi10mg Alloy Manufactured by Selective Laser Melting
Temperature-Dependent Anisotropic Mechanical and Microstructural Characteristics of Alsi10mg Alloy Manufactured by Selective Laser Melting Open
View article: Effect of Low-Temperature Annealing on the Mechanical Anisotropy and Microstructure of Slm Alsi7mg Alloy
Effect of Low-Temperature Annealing on the Mechanical Anisotropy and Microstructure of Slm Alsi7mg Alloy Open
View article: A Novel Real-Time Deep Learning Screening for Prenatal and Neonatal Biliary Atresia Diagnosis for Ghost Gallbladders: Better Interpretation and More Novice-Friendly
A Novel Real-Time Deep Learning Screening for Prenatal and Neonatal Biliary Atresia Diagnosis for Ghost Gallbladders: Better Interpretation and More Novice-Friendly Open
View article: The Influence of Deposition Temperature on the Microscopic Process of Diamond-like Carbon (DLC) Film Deposition on a 2024 Aluminum Alloy Surface
The Influence of Deposition Temperature on the Microscopic Process of Diamond-like Carbon (DLC) Film Deposition on a 2024 Aluminum Alloy Surface Open
In this experiment, plasma-enhanced chemical vapor deposition technology was used to deposit diamond-like carbon thin films on the surface of a 2024 aluminum alloy. The effects of deposition temperature on the microstructure, carbon, silic…
View article: Multiple viewpoints projection hologram from multiple angular orthogonal projection images based on GPU
Multiple viewpoints projection hologram from multiple angular orthogonal projection images based on GPU Open
To solve the problem of slow generation of multiple viewpoint projection hologram, a novel method for synthesizing Fresnel holograms based on graphics processing unit (GPU) is proposed with multiple angular orthogonal projection images. Fi…
View article: Synergistic Deep Graph Clustering Network
Synergistic Deep Graph Clustering Network Open
Employing graph neural networks (GNNs) to learn cohesive and discriminative node representations for clustering has shown promising results in deep graph clustering. However, existing methods disregard the reciprocal relationship between r…
View article: Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck Open
Efficient communication learning among agents has been shown crucial for cooperative multi-agent reinforcement learning (MARL), as it can promote the action coordination of agents and ultimately improve performance. Graph neural network (G…
View article: Deep Friendly Embedding Space for Clustering
Deep Friendly Embedding Space for Clustering Open
View article: The dynamic linkages among crude oil price, climate change and carbon price in China
The dynamic linkages among crude oil price, climate change and carbon price in China Open
Crude oil prices, weather changes, and carbon prices are closely related, but little research investigates their dynamic relationship. Studying how crude oil prices and weather changes dynamically affect carbon prices is significant to inv…
View article: Microstructure and Texture Evolution of Az31 Magnesium Alloys During Continuous Extrusion
Microstructure and Texture Evolution of Az31 Magnesium Alloys During Continuous Extrusion Open
View article: Design and Evaluation of an Analytical Performance Scheme for Instruments: Chemometrics for Biochemical Analyzers
Design and Evaluation of an Analytical Performance Scheme for Instruments: Chemometrics for Biochemical Analyzers Open
View article: Research Progress of Heat Resistant Magnesium Alloys
Research Progress of Heat Resistant Magnesium Alloys Open
Magnesium alloy has extremely excellent properties and is known as “21st Century Green Engineering Material”. This article mainly introduces the influence of the heat resistance and comprehensive performance of the three series of Mg-Al, M…
View article: ResGNet-C: A graph convolutional neural network for detection of COVID-19
ResGNet-C: A graph convolutional neural network for detection of COVID-19 Open
View article: Wireless Surveillance With Interference Exploitation in Unauthorized Underlaid D2D Networks
Wireless Surveillance With Interference Exploitation in Unauthorized Underlaid D2D Networks Open
Interference exploitation has been considered an effective method to improve secrecy in underlaid device-to-device (D2D) communication networks. This paper studied interference exploitation in unauthorized underlaid D2D communication netwo…
View article: Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine
Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine Open
Previous studies of speech emotion recognition using either empirical features (e.g., F0, energy, and voice probability) or spectrogram-based statistical features. The empirical features can highlight the human knowledge of emotion recogni…
View article: A New Deep Segmentation Quality Assessment Network for Refining Bounding Box Based Segmentation
A New Deep Segmentation Quality Assessment Network for Refining Bounding Box Based Segmentation Open
Capturing quality cues in blind segmentation quality assessment (SQA) is a challenging task. This paper proposes a new blind SQA method that captures a variety of quality cues using two considerations: one is to consider different types of…
View article: Reputation-Based Spectrum Sensing Strategy Selection in Cognitive Radio Ad Hoc Networks
Reputation-Based Spectrum Sensing Strategy Selection in Cognitive Radio Ad Hoc Networks Open
Spectrum sensing plays an essential role in the detection of unused spectrum whole in cognitive radio networks, including cooperative spectrum sensing (CSS) and independent spectrum sensing. In cognitive radio ad hoc networks (CRAHNs), CSS…
View article: Improving the phase sensitivity of an SU(1,1) interferometer with photon-added squeezed vacuum light
Improving the phase sensitivity of an SU(1,1) interferometer with photon-added squeezed vacuum light Open
We study the phase sensitivity of an SU(1,1) interferometer from two aspects, i.e., the phase estimation determined by the error propagation formula and that by the quantum Cramér-Rao bound (QCRB). The results show that the phase sensitivi…
View article: Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm
Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm Open
This article proposes a novel active localization method based on the mixed polarization multiple signal classification (MP-MUSIC) algorithm for positioning a metal target or an insulator target in the underwater environment by using a uni…
View article: Underwater Electro-Location Method Based on Improved Matrix Adaptation Evolution Strategy
Underwater Electro-Location Method Based on Improved Matrix Adaptation Evolution Strategy Open
In this paper, a new locating method based on the optimization method for estimating the position of an electric dipole source in underwater environments with a plate uniform circular antenna (PUCA) is presented. The image principle is int…
View article: Multichannel analysis of soft frequency reuse and user association in two-tier heterogeneous cellular networks
Multichannel analysis of soft frequency reuse and user association in two-tier heterogeneous cellular networks Open
View article: Multiple Signal Classification Algorithm Based Electric Dipole Source Localization Method in an Underwater Environment
Multiple Signal Classification Algorithm Based Electric Dipole Source Localization Method in an Underwater Environment Open
A novel localization method based on multiple signal classification (MUSIC) algorithm is proposed for positioning an electric dipole source in a confined underwater environment by using electric dipole-receiving antenna array. In this meth…
View article: Electromagnetic Field Analysis of an Electric Dipole Antenna Based on a Surface Integral Equation in Multilayered Dissipative Media
Electromagnetic Field Analysis of an Electric Dipole Antenna Based on a Surface Integral Equation in Multilayered Dissipative Media Open
In this paper, a novel method based on the Poggio–Miller–Chang-Harrington–Wu–Tsai (PMCHWT) integral equation is presented to study the electromagnetic fields excited by vertical or horizontal electric dipoles in the presence of a layered r…
View article: FRACTAL COMPLEXITY-BASED FEATURE EXTRACTION ALGORITHM OF COMMUNICATION SIGNALS
FRACTAL COMPLEXITY-BASED FEATURE EXTRACTION ALGORITHM OF COMMUNICATION SIGNALS Open
How to analyze and identify the characteristics of radiation sources and estimate the threat level by means of detecting, intercepting and locating has been the central issue of electronic support in the electronic warfare, and communicati…
View article: Modeling the microstructure evolution in AZ31magnesium alloys during hot rolling
Modeling the microstructure evolution in AZ31magnesium alloys during hot rolling Open
A new model was proposed based on the dislocation density of the computer simulation of the microstructure evolution in magnesium alloys. The transient hot rolling simulation was performed by implementing this model under various rolling t…
View article: An Optimal Electric Dipole Antenna Model and Its Field Propagation
An Optimal Electric Dipole Antenna Model and Its Field Propagation Open
An optimal electric dipole antennas model is presented and analyzed, based on the hemispherical grounding equivalent model and the superposition principle. The paper also presents a full-wave electromagnetic simulation for the electromagne…
View article: One-Bit Quantization and Distributed Detection with an Unknown Scale Parameter
One-Bit Quantization and Distributed Detection with an Unknown Scale Parameter Open
We examine a distributed detection problem in a wireless sensor network, where sensor nodes collaborate to detect a Gaussian signal with an unknown change of power, i.e., a scale parameter. Due to power/bandwidth constraints, we consider t…
View article: Influence of rolling parameters on dynamically recrystallized microstructures in AZ31 magnesium alloy sheets
Influence of rolling parameters on dynamically recrystallized microstructures in AZ31 magnesium alloy sheets Open
Conventional rolling experiments via the embedded pin in rolling sheet method were carried out at different reduction rates, starting rolling temperatures, and rolling speeds, and the effects of rolling parameters (i.e., temperature, equiv…
View article: Multi-tensor Completion with Common Structures
Multi-tensor Completion with Common Structures Open
In multi-data learning, it is usually assumed that common latent factors exist among multi-datasets, but it may lead to deteriorated performance when datasets are heterogeneous and unbalanced. In this paper, we propose a novel common struc…
View article: Deep Extreme Learning Machine and Its Application in EEG Classification
Deep Extreme Learning Machine and Its Application in EEG Classification Open
Recently, deep learning has aroused wide interest in machine learning fields. Deep learning is a multilayer perceptron artificial neural network algorithm. Deep learning has the advantage of approximating the complicated function and allev…