A5080919889- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Optical Systems and Laser Technology
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
- Image and Video Stabilization
- Image Processing Techniques and Applications
- Optical measurement and interference techniques
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Image Fusion Techniques
- Image and Object Detection Techniques
- Traffic and Road Safety
- Neural Networks and Applications
- Robotics and Sensor-Based Localization
- Medical Imaging Techniques and Applications
- Medical Image Segmentation Techniques
- Cloud Computing and Resource Management
- Speech Recognition and Synthesis
- Infrared Target Detection Methodologies
- Advanced Algorithms and Applications
- Radar Systems and Signal Processing
- Spectroscopy and Chemometric Analyses
- Industrial Vision Systems and Defect Detection
- Semiconductor materials and devices
China Southern Power Grid (China)
2023-2025
Roswell Park Comprehensive Cancer Center
2024-2025
Ping An (China)
2021-2025
University of Illinois Urbana-Champaign
2017-2024
Changchun University of Science and Technology
2013-2024
Shenzhen University
2024
Shandong University
2014-2024
Zhejiang University
2023
Guangzhou Education Bureau
2023
Wuhan Polytechnic University
2008-2022
Face Recognition is a computer application that capable of detecting, tracking, identifying or verifying human faces from an image video captured using digital camera. Although lot progress has been made in domain face detection and recognition for security, identification attendance purpose, but still there are issues hindering the to reach surpass level accuracy. These variations facial appearance such as; varying lighting condition, noise images, scale, pose etc. This research paper...
Abstract A colorimetric sensor array has been designed for the identification of and discrimination among aldehydes ketones in vapor phase. Due to rapid chemical reactions between solid‐state elements gaseous analytes, distinct color difference patterns were produced digitally imaged chemometric analysis. The was developed from classical spot tests using aniline phenylhydrazine dyes that enable molecular recognition a wide variety aliphatic or aromatic ketones, as demonstrated by...
Image semantic segmentation technology has been increasingly applied in many fields, for example, autonomous driving, indoor navigation, virtual reality and augmented reality. However, underwater scenes, where there is a huge amount of marine biological resources irreplaceable gene banks that need to be researched exploited, are limited. In this paper, image exploited study scenes. We extend the current state-of-the-art network DeepLabv3 + employ it as basic framework. First, unsupervised...
Polarization imaging techniques have been effective in improving the clarity of turbid underwater images affected by water scattering. These offer valuable additional information compared to traditional methods. However, previous descattering methods mostly designed for targets with uniform distribution polarimetric characteristics. Therefore, complex polarization characteristics non-uniform when dealing such problems, parameter estimation errors can limit results image recovery. This paper...
The study sample consisted of 3,869 drivers, split approximately 50/50 between observed cell phone users and those not using phones (labeled "nonusers"). Cell use was determined by a snapshot observation made on city streets. represented 54% originally observed, for whom match obtained both vehicle license plate gender estimated age group the driver that named in policy. Data were from records insurance claims, police-reported collisions violations, following strict protocol to protect...
Recent research on bilateral transfer suggests that imagery training can facilitate the of motor skill from a trained limb to an untrained above and beyond physical practice. To further explore this effect, present study examined influence practice duration task difficulty extent which influences sequential key pressing task. In experiment 1, participants using their non-dominant arm under one three conditions (physical practice, no practice). subsequent test, performed dominant in either...
Long-time coherent integration is an effective approach to improve detection performance for weak air moving targets (AMTs). The range position variation and azimuth Doppler will easily exceed gate resolution in a long observation time, resulting severe degradation, especially high maneuverability target. Besides, the low computational complexity ability are, most of times, contradiction requirements by using existing long-time algorithms. To overcome above constraints, novel subaperture...
"HSR25-170: Investigating Socioeconomic and Racial Disparities in Pathologic Response Survival Outcomes Triple-Negative Breast Cancer Post-Neoadjuvant Chemotherapy: Insights From the National Database" published on 28 Mar 2025 by Comprehensive Network.
In this paper, the main technologies of foreground detection, feature description and extraction, movement behavior classification recognition were introduced. Based on optical flow for objects energy image was put forward expression region convolutional neural networks adopt to choose features decrease dimension. Then support vector machine classifier trained used classify recognize actions. After training testing public human actions database, experiment result showed that method could...
Abstract In recent years, research on infrared and visible image fusion has mainly focused deep learning‐based approaches, particularly neural networks with auto‐encoder architectures. However, these approaches suffer from problems such as insufficient feature extraction capability inefficient strategies. Therefore, this paper introduces a novel network to address the limitations of designed network, encoder employs multi‐branch cascade structure, convolution branches different kernel sizes...
In underwater imaging, achieving high-quality imagery is essential but challenging due to factors such as wavelength-dependent absorption and complex lighting dynamics. This paper introduces MEvo-GAN, a novel methodology designed address these challenges by combining generative adversarial networks with genetic algorithms. The key innovation lies in the integration of algorithm principles multi-scale generator discriminator structures Generative Adversarial Networks (GANs). approach enhances...
637 Background: Biliary tract cancers (BTC), including gall bladder cancer, intrahepatic and extrahepatic cholangiocarcinoma are aggressive malignancies, with poor prognosis. Despite advances in frontline setting, biomarker selected population (IDH1, FGFR2, Her2, BRAF, HRD), there is a dire need to advance therapy subsequent lines. Methods: We identified BTC patients (pts) at Roswell Park Cancer Center who underwent curative intent surgery between 01/2006-01/2020. After excluding duplicate...
<title>Abstract</title> To accurately predict and control the engineering costs of prefabricated substations under small-sample conditions, in order to forecast cost level substation project, a combination forecasting model support vector regression (Referred as:SVR) based on gray relation analysis as:GRA) particle swarm optimization as:PSO) is proposed. The main indexes project cost, which are input into SVR optimized by PSO extracted through GRA avoid problem large error caused artificial...
This paper proposes a face/palm recognition system based on decision-based neural networks (DBNN). The face consists of three modules. First, the detector finds location human in an image. eye localizer determines positions both eyes order to generate meaningful feature vectors. facial region proposed contains eyebrows, eyes, and nose, but excluding mouth. (Eye-glasses will be permissible.) Lastly, third module is recognizer. DBNN can effectively applied all It adopts hierarchical network...