A5100419440- Advanced Image Processing Techniques
- Advanced Vision and Imaging
- Fluid Dynamics and Vibration Analysis
- Multimodal Machine Learning Applications
- Neuroscience and Neuropharmacology Research
- Lattice Boltzmann Simulation Studies
- Advanced Image and Video Retrieval Techniques
- Domain Adaptation and Few-Shot Learning
- Image Enhancement Techniques
- Wind and Air Flow Studies
- Solidification and crystal growth phenomena
- Fluid Dynamics and Turbulent Flows
- Image and Video Quality Assessment
- Human Pose and Action Recognition
- Image and Signal Denoising Methods
- Vibration and Dynamic Analysis
- Ion channel regulation and function
- Big Data and Business Intelligence
- Supply Chain Resilience and Risk Management
- Heat and Mass Transfer in Porous Media
- Nicotinic Acetylcholine Receptors Study
- Antenna Design and Analysis
- Topology Optimization in Engineering
- Receptor Mechanisms and Signaling
- Digital Marketing and Social Media
China Energy Engineering Corporation (China)
2024
Indiana University – Purdue University Indianapolis
2022-2024
University of Indianapolis
2024
Pacific Northwest National Laboratory
2024
China University of Petroleum, East China
2020-2024
Huawei Technologies (China)
2024
Wuhan University of Technology
2024
Peking University
2014-2023
South China University of Technology
2023
Huazhong Agricultural University
2023
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus proposed methods and results.In this challenge, new Large-scale Diverse Video (LDV) dataset is employed.The has three tracks.Tracks 1 2 aim at enhancing videos by HEVC fixed QP, while Track 3 designed for x265 bit-rate.Besides, Tracks targets improving fidelity (PSNR), perceptual quality.The tracks totally attract 482 registrations.In test phase, 12 teams, 8 teams 11 submitted final results...
Key points The timing of synaptic transmission is critical to plasticity in the striatum. However, striatal dopamine (DA) release induced by cholinergic interneurons (ChIs) striatum unclear. In this study, we focused on temporal components DA and replenishment triggered different pathways. We show that stimulation ChIs induces with a total delay 20.6 ms, including 2.8 ms for action potential firing ChIs, 7.0 between acetylcholine terminals terminals, 10.8 downstream release. via ChI pathway...
Shared mobility is growing rapidly and changing the landscape. The COVID-19 pandemic has complicated travel mode choice behavior in terms of shared mobility, but evidence on this impact limited. To fill gap, paper first designs a stated preference survey to collect data before during pandemic. Different services are considered, including ride hailing, sharing, car bike sharing. Then, latent class analysis used divide population their attitudes toward mobility. Nested logit models applied...
Computer-aided technology is a system of personal confidential interaction between computer and users under the guidance people. Due to continuous development technology, this has been used in many fields. design use systems assist designers engineering or product design. It achieve best effect. Three-dimensional (3D) animation not limited by time space. uses various forms expression express complex abstract program content, scientific principles, concepts centralized simplified forms. The...
In this paper, we propose an end-to-end learned image compression framework for low-rate scenarios. Based on variational autoencoder, our method features a pair of compact-resolution and super-resolution networks, set hyper main codec conditional context model. The learning process is facilitated with integrated non-local attention modules phase congruency priors. Multiple models are obtained from training different hyper-parameters, jointly used in the image-level model selection rate...
The growing complexity and globalization of supply chains have heightened the need for enhanced transparency traceability. Current research on improving chain faces challenges such as data privacy concerns, trust issues, inefficient information sharing. This paper addresses these by proposing use blockchain technology to revolutionize management. innovative aspect this work lies in leveraging blockchain's decentralized immutable nature create a transparent secure system tracking verifying...
Abstract In view of the need for fine exploration deep-sea resources and scientific experiments, research on core drilling technology submersibles was carried out by combining operation advantages Jiaolong manned submersible with technology. According to characteristics submersible, rock drillability, operating conditions micro-bit pressure requirements bit design were analyzed studied. This paper focuses coring bit, analyzes its mechanism parameter design, finally develops two kinds...
Abstract Recently, image super‐resolution works based on Convolutional Neural Networks (CNNs) and Generative Adversarial Nets (GANs) have shown promising performance. However, these methods tend to generate blurry over‐smoothed super‐resolved (SR) images, due the incomplete loss function powerless architectures of networks. In this paper, a novel generative adversarial through deep dense skip connections (GSR‐DDNet), is proposed solve above‐mentioned problems. It aims take advantage GAN's...
Radars are a widely used technology for target detection, commonly enabled by phased arrays. However, complex hardware circuits such as phase shifters in arrays lead to relatively high power and cost. To tackle this issue, the reconfigurable holographic surface (RHS), novel metamaterial antenna with simple compact element spacing, has been proposed. In letter, we propose radar RHSs detection achieve accuracy low Due amplitude-controlled structure of RHS which generates beams tuning radiation...
This study demonstrated the unaltered dopamine release in striatum a schizophrenia model <italic>dysbindin</italic>−/− mice.
Due to the diversity of degradation process that is difficult model, recovery mixed distorted images still a challenging problem. The deep learning model trained under certain declines significantly in other situations. In this article, we explore ways use combination tools deal with distortion. First, illustrate limitations single network dealing multiple distortion types and then introduce hierarchical toolkit distinguished powerful tools. Second, investigate how an efficient...
Porous materials present significant advantages for absorbing radioactive isotopes in nuclear waste streams. To improve absorption efficiency treatment, a thorough understanding of the diffusion-advection process within porous structures is essential material design. In this study, we advancements volumetric lattice Boltzmann method (VLBM) modeling and simulating pore-scale geopolymer structures. These are created using phase field (PFM) to precisely control pore architectures. our VLBM...
Yang, Q.; Wang, G.; Zhang, X.; Grecos, C., and Ren, P., 2020. Coastal image captioning. In: Jung, H.-S.; Lee, S.; Ryu, J.-H., Cui, T. (eds.), Advances in Geospatial Research of Environments. Journal Research, Special Issue No. 102, pp. 145-150. Coconut Creek (Florida), ISSN 0749-0208.Coastal images convey immense semantic information the corresponding coastal areas. This article presents a preliminary approach to captioning that describes salient with accurate meaningful sentences....
Forecasting the motion of surrounding obstacles (vehicles, bicycles, pedestrians and etc.) benefits on-road planning for intelligent autonomous vehicles. Complex scenes always yield great challenges in modeling patterns traffic. For example, one main challenge comes from intractable interaction effects a complex traffic system. In this paper, we propose multi-layer architecture Interaction-aware Kalman Neural Networks (IaKNN) which involves an layer resolving high-dimensional environmental...