A5111012529- Horticultural and Viticultural Research
- Gear and Bearing Dynamics Analysis
- Machine Learning and ELM
- Water Quality Monitoring Technologies
- Digital Imaging for Blood Diseases
- Machine Fault Diagnosis Techniques
- Smart Agriculture and AI
- Colorectal and Anal Carcinomas
- High Altitude and Hypoxia
- Colorectal Cancer Surgical Treatments
- Machine Learning in Bioinformatics
- Medical Imaging and Analysis
- Hydrological Forecasting Using AI
- Nuclear Structure and Function
- Technical Engine Diagnostics and Monitoring
- Low-power high-performance VLSI design
- Brain Tumor Detection and Classification
- 3D Surveying and Cultural Heritage
- Agriculture Sustainability and Environmental Impact
- Biosensors and Analytical Detection
- Advancements in Materials Engineering
- Viral Infections and Vectors
- 3D Shape Modeling and Analysis
- Helicobacter pylori-related gastroenterology studies
- Healthcare Systems and Reforms
PLA Army Engineering University
2022-2024
Carnegie Institution for Science
2024
North Minzu University
2024
China Agricultural University
2023-2024
Henan Polytechnic University
2024
Buck Institute for Research on Aging
2024
University of Chinese Academy of Sciences
2024
Shanghai Ocean University
2024
Northeastern University
2023
Taiyuan Normal University
2023
The approach of dynamic tracking and counting for obscured citrus based on machine vision is a key element to realizing orchard yield measurement smart production management. In this study, focusing images videos in modern planting mode, we proposed the detection method lightweight target network YOLOv7-tiny, Kalman filter tracking, Hungarian algorithm. YOLOv7-tiny model was used detect video, algorithm predictive detected fruits. order realize optimal matching, improved terms Euclidean...
Abstract The traditional prediction of remaining useful life (RUL) for bearings cannot be calculated in parallel and requires manual feature extraction artificial label construction. Therefore, this article proposes a two-stage framework predicting the RUL bearings. In first stage, an unsupervised approach using temporal convolutional network (TCN) is employed to construct health indicator (HI). This helps reduce human interference reliance on expert knowledge. second based neural...
Heat stress occurs frequently in energy-saving sunlight greenhouses (ESSG) at the late growth stage. Three-year delayed cultivation (DC) of Red Globe cultivar Vitis vinifera L. was used to clarify physiological mechanisms short-term heat on PSII and subsequent recovery from stress. By November, photosynthetic function had declined fall transpiration rate (E) with heating time increased possibility damage. In July, most obvious increase relative variable fluorescence J point 40°C, November it...
The aim of this study was to explore the clinical value a radiomics prediction model based on T2-weighted imaging (T2WI) and indexes in predicting lateral lymph node (LLN) metastasis rectal cancer patients. This retrospective analysis 106 patients who had undergone LLN dissection. risk factors for were selected by multivariable logistic regression indicators features extracted from pelvic T2WI least absolute shrinkage selection operator algorithm backward stepwise method adopted feature...
Aiming at the problem of low prediction accuracy for photovoltaic power generation due to strong randomness and volatility, a model based on Improved Complete Ensemble Empirical Mode Decomposition With Adaptive Noise (ICEEMDAN) Beluga Whale Optimization Deep Hybrid Kernel Extreme Learning Machine (BWO-DHKELM) is proposed. Firstly, historical data are analyzed by Pearson Correlation Coefficient, meteorological with high correlation obtained as input features model. Secondly, PV decomposed...
In mammalian females, quiescent primordial follicles serve as the ovarian reserve and sustain normal function egg production via folliculogenesis. The loss of causes aging. Cellular senescence, characterized by cell cycle arrest senescence-associated secretory phenotype (SASP), is associated with tissue present study, we report that some primary oocytes in become senescent adult mouse ovaries. share senescence markers somatic cells. were observed young ovaries, remained at approximately 15%...
Efficient operation of sewage plants and effective environmental monitoring heavily rely on the accurate assessment particulate matter concentration particle size distribution. However, challenge in current practices lies precise detection differentiation various types (in different sizes concentrations) water. This study introduces an innovative approach that combines electrical sensing zone method with machine learning to address these challenges. Focusing four specific particles – quartz...
Gate sizing plays an important role in timing optimization after physical design. Existing machine learning-based gate works cannot optimize on multiple paths simultaneously and neglect the constraint layouts. They cause sub-optimal solutions low-efficiency issues when compared with commercial tools. In this work, we propose a learning-driven physically-aware framework to performance large-scale circuits efficiently. our gradient descent optimization-based for obtaining accurate gradients,...
Large language models (LLMs) have exhibited a strong promise in automatically generating executable code from natural descriptions, particularly with interactive features that allow users to engage the code-generation process by instructing LLM iterative feedback. However, existing interaction paradigms often assume expert knowledge debug source and are not optimized for non-professional programmers' use. This raises challenges making generation more accessible individuals varying levels of...
Chinese government had implemented 8 rounds of National Centralized Drug Procurement (NCDP) in mainland China from 2019 to 2023. The purpose this study is assess the affordability profile and variation policy‐related antihypertensive drugs context NCDP, generic substitution, basic medical insurance policy pre‐NCDP (in 2018) post‐NCDP 2023) Xi’an. 34 NCDP drugs, including 17 bid‐winning (GDs) list originator brands (OBs) containing same ingredients with these GDs, was analyzed compared,...
ABSTRACT Gearboxes are a crucial component of the transmission systems in many devices. Due to prolonged operation and high loads, it is inevitable that their condition will degrade over time. Therefore, intelligently dividing health state stages conducting timely effective assessments essential for ensuring safe reliable gearboxes. In response acoustic signals generated during gearboxes, division assessment method based on proposed. Initially, fast Fourier transform (FFT) utilized convert...