Yangyang Wu

Effects, mechanisms, and trade‐offs of cotton productivity in saline irrigation systems: Integrating meta‐analysis with machine learning for China's major cotton‐producing regions

Zhenjiang Jia, Yangyang Wu, Wangcheng Li, Zixuan Jia et autres

Abstract Saline irrigation has been extensively implemented in major cotton‐growing regions as a critical strategy to mitigate the imbalance between agricultural water supply and demand. However, a comprehensive understanding of its specific effects on cotton productivity in China remains elusive. This study …

cn (code pays fourni par la source)

Precision irrigation decision system for protected vegetables based on cumulative PAR and its application in tomato cultivation

Yaru Du, Yuan Huang, Yifan Kang, Jingjing Li et autres

Precision irrigation regulates water application based on crop physiological demands and environmental dynamics. Precision irrigation decision system based on cumulative photosynthetically active radiation ( PAR )—a fundamental determinant of crop water demand and directly influences the photosynthetic rate, transpiration, and overall metabolic …

cn (code pays fourni par la source)

Hyperspectral Total Phosphorus Retrieval: State-of-the-Art and Challenges

Yong Zhang, He Yao, Tong Liu, Dapeng Shi et autres

Total phosphorus (TP), a key driver of aquatic eutrophication, requires effective monitoring for water quality management. Traditional in situ methods are constrained by high costs and spatial limitations, driving the advancement of remote sensing as a complementary, synoptic tool. This review synthesizes …

cn (code pays fourni par la source)

DentVLM: A Multimodal Vision-Language Model for Comprehensive Dental Diagnosis and Enhanced Clinical Practice

Zuozhu Liu, Zijie Meng, Jin Hao, Feng Yang et autres

cn, us, sg (code pays fourni par la source)

Unveiling the hidden impact: metabolomic changes in children undergoing VSD repair

Yangyang Wu, Jiyi Huang, Yong Zou, Junkai Duan et autres

BACKGROUND: We analyzed the perioperative metabolomic alterations in children undergoing ventricular septal defect (VSD) repair under cardiopulmonary bypass (CPB), identified evidence of postoperative injury, and explored strategies to mitigate such injuries. METHODS: We conducted an untargeted metabolomic analysis of serum at three …

cn (code pays fourni par la source)

A study of high-precision stereo positioning with multi-scene and multi-mode GF-3 satellite images

Ruishan Zhao, Shuai Gao, Wei Yu, Haokun Liu et autres

Due to factors that include systematic sensor delay, it is difficult for synthetic aperture radar (SAR) satellite stereo positioning to meet the requirements of large-scale mapping. In traditional stereo positioning methods, ground control points (GCP) are required to eliminate errors. In this …

cn (code pays fourni par la source)

Assessing severity of pediatric pneumonia using multimodal transformers with multi-task learning

Jing Li, Zi-ang Nan, Guoqiang Qi, Xinkui Zhao et autres

Objective: (RMT) model, crafted to bridge this gap. The RMT model aims to enhance diagnosis and severity assessment accuracy in situations with incomplete data, thereby ensuring it meets the complex needs of real-world clinical settings. Method: The RMT model leverages multimodal data, …

cn (code pays fourni par la source)

Location Selection Scheme of Smart Light Pole Based on Segmentation Optimization

Chufeng Yang, Yanting Liao, Yangyang Wu, Hui‐Ying Wu et autres

Smart lamp poles, as a key component of smart cities, not only meet the lighting demands but also provide an ideal deployment platform for 5G micro-base stations and charging piles. Therefore, the site selection of smart lamp poles is of great importance, …

cn (code pays fourni par la source)

IterClean: An Iterative Data Cleaning Framework with Large Language Models

Wei Ni, K. Zhang, Xiaoye Miao, Xiangyu Zhao et autres

In the era of generative artificial intelligence, the accuracy of data is paramount. Erroneous data often leads to faulty outcomes and economic detriments. Previous cleaning methods employ a sequential detect-repair paradigm, leaving over half of the errors unsolved in real scenarios. We …

hk (code pays fourni par la source)

Automatic Data Repair: Are We Ready to Deploy?

Wei Ni, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu et autres

Data quality is paramount in today's data-driven world, especially in the era of generative AI. Dirty data with errors and inconsistencies usually leads to flawed insights, unreliable decision-making, and biased or low-quality outputs from generative models. The study of repairing erroneous data …

hk, cn (code pays fourni par la source)

The Use of Hyperspectral Imaging Combined with a Broad Learning System Model to Identify Different Regional Origins of Angelica Dahurica

Hongwei Sun, Jidong Lin, Yangyang Wu, Bangxu Chen et autres

Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network

Jinglan Mo, Yangyang Wu