A5110538410- Remote Sensing and Land Use
- 3D IC and TSV technologies
- Electronic Packaging and Soldering Technologies
- Environmental Changes in China
- Infrared Target Detection Methodologies
- Video Surveillance and Tracking Methods
- Energy Load and Power Forecasting
- Environmental and Agricultural Sciences
- Agricultural Innovations and Practices
- Environmental Quality and Pollution
- Orthopedic Infections and Treatments
- Air Quality Monitoring and Forecasting
- Advanced Memory and Neural Computing
- Industrial Vision Systems and Defect Detection
- Rough Sets and Fuzzy Logic
- Advanced Computational Techniques and Applications
- Advanced Measurement and Detection Methods
- Land Rights and Reforms
- Extraction and Separation Processes
- Evaluation Methods in Various Fields
- Robotics and Sensor-Based Localization
- Fire Detection and Safety Systems
- Underwater Vehicles and Communication Systems
- Bone and Joint Diseases
- Evaluation and Optimization Models
Stanford University
2024
Jiangsu University of Technology
2023-2024
Hebei Meteorological Bureau
2009-2022
Southeast University
2022
NARI Group (China)
2020
Ocean University of China
2019-2020
Guangxi University
2019
Shunde Polytechnic
2018
Jinan University
2018
People's Bank of China
2018
If adoption of herbicide-resistant seed and conservation-tillage practices are determined simultaneously, could indirectly reduce soil erosion residual herbicide use increase farm profits. Our objective was to evaluate the relationship between these two technologies for Tennessee cotton production. Evidence from Bayes' theorem a two-equation logit model suggested simultaneous relationship. Mean elasticities acres in with respect probability adopting were 1.74 0.24, respectively.
Abstract This study emphasizes the importance of early detection osteonecrosis femoral head (ONFH) in young patients on long‐term glucocorticoid therapy, including those with acute lymphoblastic leukemia, lupus, and other diagnoses. While X‐ray magnetic resonance imaging (MRI) are standard methods for staging ONFH, MRI can be costly time‐consuming. The research focuses utilizing artificial intelligence (AI) to enhance evaluation radiographic images ONFH detection. involved analyzing from 102...
Recent advanced trackers, composed of discriminative classification and dedicated bounding box estimation, have achieved remarkable advancements in performance visual object tracking. However, existing methods cannot satisfy the demands tracking tasks complex scenes, such as occlusion, scale variations, etc. To this end, we propose a novel online multi-scale global feature modulation for robust tracking, which is developed over accurate by overlap maximization, named ATOM+. First, coordinate...
Autonomous underwater vehicle (AUV) has important significance for understanding, researching and developing the ocean. The research of path planning plays an role in safety AUV improvement work efficiency. Aiming at complex environment, irregular obstacles difficulties, this paper proposes a dimension reduction method suitable three-dimensional space planning. is expressed by combination horizontal stratification longitudinal cutting, which simplifies environmental model improves...
A typical 3D-BGA packaging model was set up and numerical simulation method used to study its thermal field stress distribution when chip works on a given power. Different heat convection coefficients materials had been applied their effects the temperature field. The results show that influence decreases with increasing coefficients. On of strain field, maximum occurs at edges region packaging, but appears top surface sub-center ball because structural design cover shell, it limits...
Feature extraction is a critical technology to realize the automatic transmission of feature information throughout product life cycles. As CAD models primarily capture 3D geometry products, heavily relies on geometric information. However, existing methods often yield inaccurate outcomes due diverse interpretations This report presents set-based approach address this uncertainty issue. Unlike that seek accurate results, our aims transform into set subgraphs. First, we define convexity basic...
Verifiable formal languages like Lean have profoundly impacted mathematical reasoning, particularly through the use of large language models (LLMs) for automated reasoning. A significant challenge in training LLMs these is lack parallel datasets that align natural with proofs. To address this challenge, paper introduces a novel framework translating Mathlib4 corpus (a unified library mathematics 4) into language. Building upon this, we employ dual augmentation strategy combines tactic-based...
The development of small UAV technology has led to the emergence new challenges in countermeasures. timely detection UAVs can effectively prevent potential infringements on airspace and privacy. Currently, methods based deep learning demonstrate excellent performance target detection. However, complex scenes, there is a tendency for false alarms (FAs) misdetections occur at higher rate. To solve these problems, we propose lightweight infrared algorithm LDHD‐Net. First, design novel...
ABSTRACT Histomorphometry is an important technique in the evaluation of non‐traumatic osteonecrosis femoral head (ONFH). Quantification empty lacunae and pyknotic cells on histological images most reliable measure ONFH pathology, yet it time manpower consuming. This study focused application artificial intelligence (AI) technology to tissue image evaluation. The aim this establish automated cell counting platform using YOLOv8 as object detection model evaluate validate its accuracy. From 30...
In order to achieve the non-stationary de-noising signal effectively, and solve prediction of less sample, a hybrid model composed FCCA (Fuzzy C-means clustering algorithm) FOM (Fractional Order Model) was constructed. The degree each data point determined by de-noise <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>p</mml:mi></mml:math> cumulative matrix extended xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>r</mml:mi></mml:math> fractional matrix, so that grey...
Aiming at the needs of enterprises in manufacturing industry chain for exploring and choosing partners, a scheme constructing generic enterprise cooperation network based on ASP collaborative commerce platform was proposed. To solve problem finding suitable business evaluating value enterprise, according to idea PageRank algorithm, company rank algorithm cloud derived by evaluation model weight industrial search engine. On this basis, influence factors were used control finely, some...
System-in-package (SiP) has been adapted as one of the most promising packaging technologies with development mobile devices. It could greatly reduce package size and enhance device performance. As electronic technology progresses quickly, various SiPs have designed structure SiP is becoming more diversified. However, relatively complex may cause unexpected failure during practical application. In this paper, a 3D larger chip four smaller chips on front back side FR4 board respectively was...
Different from the existing literatures, this paper investigates nonlinear relationship between natural resource economic growth and curse threshold, with particular attention paid to impact on of status i.e. global development mode.The empirical results based panel data 90 countries 1972 2011 show that, is them presents an inverted U-shape curve, that is, only when abundance cross threshold value, effect will occur.In addition, we find change has a significant curse, rise can lower it...
Time delays exist pervasively in neural information processing. The brain needs to compensate for these order extract motion time [1]. Experimental data reveal that tracking moving stimuli, systems generate anticipative responses [2], but how does the achieves this goal remains poorly understood. Continuous attractor networks (CANNs) are widely used as a canonic model describe encoding of continuous features, such head-direction, direction, orientation or spatial location an object,...