Yu Zhang
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View article: Vision-Language Models for Automated 3D PET/CT Report Generation
Vision-Language Models for Automated 3D PET/CT Report Generation Open
Positron emission tomography/computed tomography (PET/CT) is essential in oncology, yet the rapid expansion of scanners has outpaced the availability of trained specialists, making automated PET/CT report generation (PETRG) increasingly im…
View article: Enhancing cross-border forest product trade forecasting with LSTM and multi-source data fusion
Enhancing cross-border forest product trade forecasting with LSTM and multi-source data fusion Open
Accurate demand forecasting for cross border forest products is essential for managing trade and mitigating supply chain disruptions. Traditional methods like ARIMA and SARIMA often fail to capture the complex, multi dimensional relationsh…
View article: Thyroid nodule and lymph node metastasis assessment from ultrasound images using deep learning
Thyroid nodule and lymph node metastasis assessment from ultrasound images using deep learning Open
Objectives The preoperative differentiation of thyroid nodules into benign thyroid nodules (BTN), non-metastatic malignant thyroid nodules (NMTN), and metastatic malignant thyroid nodules (MMTN) is critical for guiding clinical management …
View article: Achievement of High‐Quality Gallium Oxide Epitaxial Growth via Machine Learning
Achievement of High‐Quality Gallium Oxide Epitaxial Growth via Machine Learning Open
The development of gallium oxide (Ga 2 O 3 )‐based electronics has been hampered by the persistent challenge of obtaining high‐quality epilayers with device‐grade performance metrics. While metal‐organic chemical vapor deposition has prove…
View article: Corner angle effects on capillary rise along curved interior corners
Corner angle effects on capillary rise along curved interior corners Open
Liquid management is becoming increasingly essential as spacecraft carry more liquid, which includes liquid propellants. Interior corners are commonly used as components in spacecraft liquid management systems to passively position or main…
View article: Application of three-dimensional fluorescence spectral characterization and chemometrics in the analysis of traceability of Paeoniae Radix Rubra
Application of three-dimensional fluorescence spectral characterization and chemometrics in the analysis of traceability of Paeoniae Radix Rubra Open
Natural products are treasure troves of resources that the environment has given upon humans and are directly linked to human health and well-being. Extracting natural products from medicinal plants is the material basis for treating vario…
View article: Explainable machine learning-based meta-modeling for predicting fire damage to motor control cabinets in a switchgear room
Explainable machine learning-based meta-modeling for predicting fire damage to motor control cabinets in a switchgear room Open
Accurate prediction of damage to cables and cabinets in switchgear rooms during fire emergencies is crucial for personal safety and maintenance planning of critical infrastructure. Traditional software tools, such as consolidated fire and …
View article: Design and performance characterization of H-band MCT camera: insights from pixel-level gain measurements
Design and performance characterization of H-band MCT camera: insights from pixel-level gain measurements Open
Infrared astronomical equipment is pivotal in advancing our understanding of the universe, particularly through ground-based observations, which remain the primary mode of astronomical study. In this paper, we introduce the development and…
View article: Effects of In Situ Electrical Pulse Treatment on the Microstructure and Mechanical Properties of Al-Zn-Mg-Cu Alloy Resistance Spot Welds
Effects of In Situ Electrical Pulse Treatment on the Microstructure and Mechanical Properties of Al-Zn-Mg-Cu Alloy Resistance Spot Welds Open
This study introduces a novel in situ pulsed current-assisted resistance spot welding method, which differs fundamentally from conventional post-weld heat treatments and is designed to enhance the mechanical performance of 7075-T651 alumin…
View article: Design of a polarization-insensitive terahertz metamaterial biosensor for glioma tissue identification
Design of a polarization-insensitive terahertz metamaterial biosensor for glioma tissue identification Open
There is an urgent need to develop label-free, accurate detection techniques for gliomas due to the high aggressiveness and heterogeneity of glioma tissues. In this study, a polarization-insensitive terahertz metamaterial biosensor based o…
View article: Active ingredients of blueberry pomace: A comprehensive review of isolation, identification, health benefits and food applications
Active ingredients of blueberry pomace: A comprehensive review of isolation, identification, health benefits and food applications Open
Blueberry pomace is a valuable source of a wide range of active compounds and nutrients and is receiving increasing research attention. However, limited attention has been paid in the literature to the nutritional properties and practical …
View article: Fatigue Detection Algorithm for Nuclear Power Plant Operators Based on Random Forest and Back Propagation Neural Networks
Fatigue Detection Algorithm for Nuclear Power Plant Operators Based on Random Forest and Back Propagation Neural Networks Open
This article proposes a fatigue detection algorithm for nuclear power plant control room operators based on random forest and BP neural networks, specifically targeting the control room scenario. This algorithm is capable of detecting fati…
View article: One-Pot Room Temperature Synthesis of Cspbbr3/Sio2 Nanocrystals with Improved Stability for White Light-Emitting Diodes
One-Pot Room Temperature Synthesis of Cspbbr3/Sio2 Nanocrystals with Improved Stability for White Light-Emitting Diodes Open
View article: Css-Yolo: A Lightweight and High-Accuracy Object Detection Model with Channel-Spatial Structural Optimization for Small Targets in Complex Scenes
Css-Yolo: A Lightweight and High-Accuracy Object Detection Model with Channel-Spatial Structural Optimization for Small Targets in Complex Scenes Open
View article: Temperature Swing Adsorption-Enhanced Co2 Storage in 13x Zeolite-Based Cces Systems: Experimental Validation and Multiparameter Optimization
Temperature Swing Adsorption-Enhanced Co2 Storage in 13x Zeolite-Based Cces Systems: Experimental Validation and Multiparameter Optimization Open
View article: Design of a Deep Learning-Based Metalens Color Router for RGB-NIR Sensing
Design of a Deep Learning-Based Metalens Color Router for RGB-NIR Sensing Open
Metalens can achieve arbitrary light modulation by controlling the amplitude, phase, and polarization of the incident waves and have been applied across various fields. This paper presents a color router designed based on metalens, capable…
View article: Dual frequency composite pattern temporal phase unwrapping for 3D surface measurement
Dual frequency composite pattern temporal phase unwrapping for 3D surface measurement Open
View article: Efficient Low-Resolution Face Recognition via Bridge Distillation
Efficient Low-Resolution Face Recognition via Bridge Distillation Open
Face recognition in the wild is now advancing towards light-weight models, fast inference speed and resolution-adapted capability. In this paper, we propose a bridge distillation approach to turn a complex face model pretrained on private …
View article: RS-YOLO: A YOLO-Based Method for Small Object Detection in Remote Sensing
RS-YOLO: A YOLO-Based Method for Small Object Detection in Remote Sensing Open
Since the objects are usually small and densely distributed, the current mainstream algorithms have poor performance in the task of object detection in remote sensing, and are prone to produce missed detection and false detection. Moreover…
View article: Employing deep learning in non‐parametric inverse visualization of elastic–plastic mechanisms in dual‐phase steels
Employing deep learning in non‐parametric inverse visualization of elastic–plastic mechanisms in dual‐phase steels Open
Enhancing the interpretability of machine learning methods for predicting material properties is a key, yet complex topic in materials science. This study proposes an interpretable convolutional neural network (CNN) to establish the relati…
View article: RadiantVisions: Illuminating Low-Light Imagery with a Multi-Scale Branch Network
RadiantVisions: Illuminating Low-Light Imagery with a Multi-Scale Branch Network Open
In the realms of the Internet of Things (IoT) and artificial intelligence (AI) security, ensuring the integrity and quality of visual data becomes paramount, especially under low-light conditions, where low-light image enhancement emerges …
View article: Evaluation of Dicamba Drift Injury and Yield Loss on Soybean Using Small Unmanned Aircraft Systems (sUAS) and Multispectral Imaging Technologies
Evaluation of Dicamba Drift Injury and Yield Loss on Soybean Using Small Unmanned Aircraft Systems (sUAS) and Multispectral Imaging Technologies Open
Highlights The response of dicamba-susceptible soybean to three simulated rates and growth stages has been studied. Soybean physiological data, such as plant height and phototoxicity, was collected at the selected growth stage. Aerial imag…
View article: The Relationship between Social Support and Career Success in Icu Nurses: The Mediating Role of Spiritual Climate
The Relationship between Social Support and Career Success in Icu Nurses: The Mediating Role of Spiritual Climate Open
View article: Enhanced Co2 Storage Via Temperature Swing Adsorption: Performance Analysis of 13x Zeolite-Based Cces System
Enhanced Co2 Storage Via Temperature Swing Adsorption: Performance Analysis of 13x Zeolite-Based Cces System Open
View article: Unmet Supportive Care Needs of Prostate Cancer survivors in China: A Cross-Sectional Study
Unmet Supportive Care Needs of Prostate Cancer survivors in China: A Cross-Sectional Study Open
Objectives: To ascertain the prevalence and factors associated with unmet supportive care needs among prostate cancer survivors in China. Methods: We conducted a cross-sectional survey using paper questionnaires comprising demographic data…
View article: RF-LOAM: Robust and Fast LiDAR Odometry and Mapping in Urban Dynamic Environment
RF-LOAM: Robust and Fast LiDAR Odometry and Mapping in Urban Dynamic Environment Open
In urban dynamic environment, most of the existing works on LiDAR SLAM are based on static scene assumption and are greatly affected by dynamic obstacles. In order to solve this problem, this paper is based on F-LOAM, and adopts FA-RANSAC …
View article: A real-time method for detecting bottom defects of lithium batteries based on an improved YOLOv5 model
A real-time method for detecting bottom defects of lithium batteries based on an improved YOLOv5 model Open
Defect detection of lithium batteries is a crucial step in lithium battery production. However, traditional detection methods mainly rely on the human eyes to observe the bottom defects of lithium battery products, which have low detection…
View article: Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality
Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality Open
Electrophysiological Source Imaging (ESI) refers to reconstructing the underlying brain source activation from non-invasive Electroencephalography (EEG) and Magnetoencephalography (MEG) measurements on the scalp. Estimating the source loca…
View article: Can HPWS Promote Digital Innovation? E-Learning as Mediator and Supportive Organisational Culture as Moderator
Can HPWS Promote Digital Innovation? E-Learning as Mediator and Supportive Organisational Culture as Moderator Open
Nowadays, corporations constantly innovate to stay ahead of the competition in the contemporary business environment. Thus, enterprises invest in high-performance work systems (HPWS) that foster employee growth and improve their abilities,…
View article: Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads Open
With the rapid development of deep learning, object detection and tracking play a vital role in today's society. Being able to identify and track all the pedestrians in the dense crowd scene with computer vision approaches is a typical cha…