2,647 Result(s)
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Chapter and Conference Paper
De Novo Design of Target-Specific Ligands Using BERT-Pretrained Transformer
The principal goal of drug design is to find ligand molecules that exhibit affinity to a given target protein. In recent years, deep generative methods have shown their promise in de novo drug design. However,...
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Chapter and Conference Paper
A PUF Based Audio Fingerprint Based for Device Authentication and Tamper Location
As bioinformation authentication gains prominence, the significance of audio data in industries such as speech recognition intensifies, with audio storage becoming a pivotal concern for data protection. Existi...
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Chapter and Conference Paper
SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement
Synthetic Aperture Radar (SAR) to electro-optical (EO) image translation is a fundamental task in remote sensing that can enrich the dataset by fusing information from different sources. Recently, many methods...
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Chapter and Conference Paper
A Surrogate-Based Optimization Method for Solving Economic Emission Dispatch Problems with Green Certificate Trading and Wind Power
To reduce the impact of greenhouse effect, the deployment and utilization of renewable energy sources such as wind power has become an inevitable trend. Therefore, the decision of economic emission dispatch (E...
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Chapter and Conference Paper
Design Elements Analysis of Cabin Atmosphere Lamp of Intelligent Vehicle Based on Kansei Engineering
The interior atmosphere light is a kind of interior light applied in the interior of the car, which is used to highlight the interior environment of the car
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Chapter and Conference Paper
Only Classification Head Is Sufficient for Medical Image Segmentation
Medical image segmentation is a pivotal research domain that has garnered widespread attention in contemporary medical diagnostics. In pursuit of enhancing network efficacy, researchers have taken great effort...
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Chapter and Conference Paper
Design of Noise Reduction Structure of Porous Muffler Based on Ant Colony Algorithm
The design of noise reduction structure plays an important role in porous mufflers, but there is the problem of inaccurate noise reduction positioning. The traditional decision tree algorithm cannot solve the ...
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Chapter and Conference Paper
Underwater Image Enhancement Using Improved Shallow-UWnet
Currently, with the development of industrialization, ocean exploration is actively carried out to investigate energy resources and undersea ecosystems. Remotely Operated Vehicles (ROVs) and Autonomous Underwa...
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Chapter and Conference Paper
Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model
Spatiotemporal prediction is a research topic in urban planning and management. Most existing spatiotemporal prediction models currently face challenges. More specifically, most prediction models are sensitive...
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Chapter and Conference Paper
The Application of Artificial Intelligence to Support Behavior Recognition by Zebrafish: A Study Based on Deep Learning Models
Zebrafish (Danio rerio) is an ideal model organism for biological research due to its ease of breeding, maintenance, observation, and complete genome sequencing. As a small aquatic organism with a body length ...
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Chapter and Conference Paper
Image Visual Complexity Evaluation Based on Deep Ordinal Regression
Image complexity is an important indicator in computer vision that helps people to more accurately evaluate and understand visual image information. Compared with traditional regression algorithms, ordinal reg...
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Chapter and Conference Paper
BGBF-Net: Boundary-Guided Buffer Feedback Network for Liver Tumor Segmentation
Medical images such as CT can provide important reference value for doctors to diagnose diseases. Identifying and segmenting lesions from medical images is crucial for its diagnosis and treatment. However, unl...
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Chapter and Conference Paper
Design and Analysis of Service Resource Allocation Scheme Based on Mobile Edge Computing
With the rapid development of communication technology, the scale of user data grows exponentially. In the diversified service scenarios, the data processing speed is required more strictly in order to guarant...
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Chapter and Conference Paper
Research and Application of an Incremental Extraction Scheme for Monitoring Power Equipment Data
The monitoring data of power equipment exhibit characteristics of multiple sources, a large amount of data, and high real-time performance. To effectively extract information from these data, it is imperative ...
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Chapter and Conference Paper
Improved GR-Convnet for Antipodal Robotic Gras**
This paper introduces a robot system designed to address the problem of performing antipodal robot gras** for unknown objects. We focus on the high-level approach of GR-Convnet for the task and propose a neu...
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Chapter and Conference Paper
An Ancient Murals Inpainting Method Based on Bidirectional Feature Adaptation and Adversarial Generative Networks
To address the issue of varying degrees of damage in ancient Chinese murals due to their age and human-induced destruction, we propose a mural image restoration method based on bidirectional feature adaptation...
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Chapter and Conference Paper
MaskDiffuse: Text-Guided Face Mask Removal Based on Diffusion Models
As masked face images can significantly degrade the performance of face-related tasks, face mask removal remains an important and challenging task. In this paper, we propose a novel learning framework, called ...
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Chapter and Conference Paper
A Research on the Academic System in Universities Based on the One-Hot Encoding PAC Fuzzy Comprehensive Evaluation Algorithm
The influence of contemporary learning exhibits complex and multifaceted characteristics. This study, building upon a detailed explanation of the model, constructs a comprehensive set of evaluation indicators....
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Chapter and Conference Paper
Generalizable and Accurate 6D Object Pose Estimation Network
6D object pose estimation is an important task in computer vision, and the task of estimating 6D object pose from a single RGB image is even more challenging. Many methods use deep learning to acquire 2D featu...
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Chapter and Conference Paper
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow
Scene flow plays a pivotal role in the 3D perception task by capturing motion information between consecutive frames. However, occlusion phenomena are commonly observed in dynamic scenes, whether from the spar...
