Explanipedia

Towards Trustworthy AI Writing: A collaborative system of Writing Agents and Verification Agents Open

Ziwen Zhong, Yizhuo Zhang, Z. B. Yan, Liang Dong · 2025

Status and Prospects of the χc1(3872) Study at BESIII Open

Hongjian Zhou, Xin Liu, Y. M. Zhang, C. Li · 2025

The χc1(3872) plays a pivotal role in understanding hadronic structures, remaining one of the most extensively studied exotic particles among numerous observed unconventional hadronic states. Sustained experimental and theoretical investig…

TSMS-InceptionNeXt: A Framework for Image-Based Combustion State Recognition in Counterflow Burners via Feature Extraction Optimization Open

Huiling Yu, Xibei Jia, Yongfeng Niu, Y. M. Zhang · 2025

Liquid Metal-Based Dual-Response Pressure Sensor for Dual-Modality Sensing and Robotic Object Recognition Open

Yanru Bai, Zhi Wang, Y. M. Zhang, Rui Guo, Xisheng Li · 2024

Characterized by their high sensitivity and flexible deformation, flexible pressure sensors have been extensively applied in various fields such as wearable electronics, health monitoring, soft robotics, and human–computer interaction. In …

Infrared Fault Detection Method for Dense Electrolytic Bath Polar Plate Based on YOLOv5s Open

Huiling Yu, Yanqiu Hang, Shen Shi, Kangning Wu, Y. M. Zhang · 2024

Fusion Recalibration Method for Addressing Multiplicative and Additive Effects and Peak Shifts in Analytical Chemistry Open

Dapeng Jiang, Y. M. Zhang, Yilin Ge, Keqi Wang · 2023

Analytical chemistry relies on the qualitative and quantitative analysis of multivariate data obtained from various measurement techniques. However, artifacts such as missing data, noise, multiplicative and additive effects, and peak shift…

Towards Intricate Stand Structure: A Novel Individual Tree Segmentation Method for ALS Point Cloud Based on Extreme Offset Deep Learning Open

Y. M. Zhang, Hantao Liu, Xingyu Liu, Huiling Yu · 2023

Due to the complex structure of high-canopy-density forests, the traditional individual tree segmentation (ITS) algorithms based on ALS point cloud, which set segmentation threshold manually, is difficult to adequately cover a variety of c…

Enhanced Removal of Polystyrene Microplastics by Coagulation of Polymerized Aluminum Chloride Iron in the Presence of Three Typical Coagulant Aids Open

Ke Yu, Y. M. Zhang, Shilong Yang, Lei Chen · 2023

Larch wood defect definition and microscopic inversion analysis using the ELM near-infrared spectrum optimization along with WOA–SVM Open

Shen Q. Pan, Keqi Wang, Jinhao Chen, Y. M. Zhang · 2021

Near-infrared spectroscopy is a mature non-destructive testing technique that can be applied effectively to identify and distinguish the structural characteristics of wood from a microscopic perspective. To accurately describe the morpholo…

Detection of Pine Cones in Natural Environment Using Improved YOLOv4 Deep Learning Algorithm Open

Ze Luo, Yizhuo Zhang, Keqi Wang, Liping Sun · 2021

Achieving the rapid and accurate detection of pine cones in the natural environment is essential for yield estimation and automatic picking. However, the complex background and tiny target pose a significant challenge to pine cone detectio…

Classification and Recognition of Fish Farming by Extraction New Features to Control the Economic Aquatic Product Open

Y. M. Zhang, Fengwei Zhang, Jinxiang Cheng, Huan Zhao · 2021

With the rapid emergence of the technology of deep learning (DL), it was successfully used in different fields such as the aquatic product. New opportunities in addition to challenges can be created according to this change for helping dat…

Pine Cone Detection Using Boundary Equilibrium Generative Adversarial Networks and Improved YOLOv3 Model Open

Ze Luo, Huiling Yu, Yizhuo Zhang · 2020

The real-time detection of pine cones in Korean pine forests is not only the data basis for the mechanized picking of pine cones, but also one of the important methods for evaluating the yield of Korean pine forests. In recent years, there…

Fusion of Hyperspectral CASI and Airborne LiDAR Data for Ground Object Classification through Residual Network Open

Zhanyuan Chang, Huiling Yu, Y. M. Zhang, Keqi Wang · 2020

Modern satellite and aerial imagery outcomes exhibit increasingly complex types of ground objects with continuous developments and changes in land resources. Single remote-sensing modality is not sufficient for the accurate and satisfactor…

Structural design and mechanical properties analysis of bamboo-wood cross-laminated timber Open

Chao Li, Xilong Wang, Y. M. Zhang · 2020

To explore the overall mechanical properties of bamboo-wood composite cross-laminated timber (BCLT), a simulation model of BCLT mechanical behavior based on the solid element was established using the finite element software ABAQUS. The ac…

Combining Trunk Detection With Canopy Segmentation to Delineate Single Deciduous Trees Using Airborne LiDAR Data Open

Xiaohu Wang, Yizhuo Zhang, Ze Luo · 2020

To minimize omission and commission errors due to the lack of adequate utilization of forest structure information, this paper presents a tree delineation approach by combining trunk detection with canopy segmentation. First, all potential…

Prediction methodology for wood compression strength based on particle-filtered near-infrared spectroscopy Open

Guangyu Shi, Y. M. Zhang, Yinong Zhao, Chao Li, Jun Cao · 2019

The measurement of wood mechanical properties is important for engineering design and applications. This study investigated near-infrared (NIR) spectroscopy coupled with particle filter (PF) and partial least-squares (PLS) methods to predi…

Mechanical properties of wood materials using near-infrared spectroscopy based on correlation local embedding and partial least-squares Open

Lei Yu, Yuliang Liang, Y. M. Zhang, Jun Cao · 2019

This study used near-infrared (NIR) spectroscopy to predict mechanical properties of wood. NIR spectra were collected in wavelengths 900–1700 nm, and spectra averaged by radial and tangential surface spectra were used to establish a partia…

A Multi-Threshold Segmentation for Tree-Level Parameter Extraction in a Deciduous Forest Using Small-Footprint Airborne LiDAR Data Open

Xiaohu Wang, Yizhuo Zhang, Miaomiao Xu · 2019

The development of new approaches to tree-level parameter extraction for forest resource inventory and management is an important area of ongoing research, which puts forward high requirements for the capabilities of single-tree segmentati…

Potential of Near-infrared Spectroscopy to Detect Defects on the Surface of Solid Wood Boards Open

Jun Cao, Hao Liang, Xue Lin, Wenjun Tu, Y. M. Zhang · 2016

Defects on the surface of solid wood boards directly affect their mechanical properties and product grades. This study investigated the use of near-infrared spectroscopy (NIRS) to detect and classify defects on the surface of solid wood bo…

Nondestructive Determination of the Compressive Strength of Wood Using Near-Infrared Spectroscopy Open

Hao Liang, Jun Cao, Wenjun Tu, Xue Lin, Y. M. Zhang · 2016

In this study, Xylosma racemosum was selected as the raw material and its compressive strength was predicted through nondestructive methods. The test data consisted of 160 near-infrared (NIR) absorption spectra of the wood samples obtained…

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