4,265 Result(s)
within
English
Computer Science
Algorithm Analysis and Problem Complexity
Artificial Intelligence
**mo Wang
Chapter
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Chapter and Conference Paper
Distributional Kernel: An Effective and Efficient Means for Trajectory Retrieval
In this paper, we propose a new and powerful way to represent trajectories and measure the distance between them using a distributional kernel. Our method has two unique properties: (i) the identity property w...
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Chapter and Conference Paper
APFL: Active-Passive Forgery Localization for Medical Images
Medical image forgery has become an urgent issue in academia and medicine. Unlike natural images, images in the medical field are so sensitive that even minor manipulation can produce severe consequences. Exis...
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Chapter and Conference Paper
Real-Time Prediction of Acute Kidney Injury in the Intensive Care Unit Using EDGE-AI Platform
Acute kidney injury (AKI) is a common early stage of renal degeneration in Intensive Care Unit (ICU) patients and is usually diagnosed by medical professionals after 48 h. We propose that a weight sensor be in...
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Chapter and Conference Paper
Abnormal Vibration Fault Diagnosis of Reducer Based on Bayesian Network
In order to recognize the fault type of reducer abnormal vibration and reduce the cost of inspection and maintenance, an intelligent diagnosis model is developed. In the case of insufficient historical abnorma...
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Chapter and Conference Paper
A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection
In this paper, we propose a Weighted Cross-modal Aggregation network (WCAN) for rumor detection in order to combine highly correlated features in different modalities and obtain a unified representation in the...
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Chapter and Conference Paper
Efficient 3D View Synthesis from Single-Image Utilizing Diffusion Priors
In this paper, we introduce a novel framework for synthesizing novel views of objects from a single image. Leveraging the capabilities of fine-tuned diffusion models, our method combines latent 3D knowledge as...
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Chapter and Conference Paper
A Temporal Consistency Learning Framework for Face Forgery Detection
The proliferation of face forgery techniques, particularly through deepfake videos, poses significant challenges in terms of deceiving and manipulating viewers. To address this concern, we propose a novel fram...
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Chapter and Conference Paper
A Robust Visual SLAM System in Dynamic Environment
Simultaneous Localization and Map** (SLAM) is vital for the navigation of autonomous robots in unknown environments. Current SLAM systems have made progress but still struggle to balance accuracy, robustness...
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Chapter and Conference Paper
A Visual Inertial SLAM Method for Fusing Point and Line Features
The current SLAM methods generally have some drawbacks: such as poor stability and long time-consuming SLAM tasks; in order to solve the problem of poor positioning accuracy of SLAM tasks due to the drawbacks ...
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Chapter and Conference Paper
SAWTab: Smoothed Adaptive Weighting for Tabular Data in Semi-supervised Learning
Self-supervised and Semi-supervised learning (SSL) on tabular data is an understudied topic. Despite some attempts, there are two major challenges: 1. Imbalanced nature in the tabular dataset; 2. The one-hot e...
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Chapter and Conference Paper
Improving Knowledge Tracing via Considering Students’ Interaction Patterns
Knowledge Tracing (KT), which aims to accurately identify students’ evolving mastery of different concepts during their learning process, is a popular task for providing intelligent tutoring in online learning...
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Chapter and Conference Paper
Improved Memristive Binarized Neural Networks Using Transformer_DCBNN Architecture with CBAM Attention Mechanism
At present network compression and hardware deployment have become a hot research topic. For network compression, binary neural networks (BNNs) use binary weights and activation function parameters instead of ...
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Chapter and Conference Paper
Doubly Accelerated Proximal Gradient for Nonnegative Tensor Decomposition
The accelerated proximal gradient (APG) is a classical algorithm for nonnegative tensor decomposition. The APG employs variable extrapolation to accelerate the computation. However, large-scale tensor decompos...
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Chapter and Conference Paper
Co-YOLOv7: An Efficient Oil Spill Identification Network Based on SAR Images
Oil spills cause significant damage to marine ecosystems, resulting in substantial ecological and economic losses. Synthetic aperture radar (SAR) is widely utilized in oil spill detection tasks due to its all-...
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Chapter and Conference Paper
From 5-Stars to Real Insight: Geospatial Detection of Campaigned Reviews with Google Maps and Mobility Data
In recent years, online review platforms have become increasingly popular, and many consumers rely on these platforms to search for restaurants before dining. However, some restaurants start long-term or short...
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Chapter and Conference Paper
Improving Anti-money Laundering via Fourier-Based Contrastive Learning
Anti-money laundering (AML) aims to detect money laundering from daily transactions, which is the key frontier of combating financial crimes. Previous deep-learning AML methods are not robust enough. To addres...
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Chapter and Conference Paper
Artificial Intelligence for Diagnosis of Pancreatic Cystic Lesions in Confocal Laser Endomicroscopy Using Patch-Based Image Segmentation
The early identification of pancreatic cystic lesions plays a vital part in the treatment of patients diagnosed with pancreatic cancer. However, it continues to provide a significant difficulty. This study emp...
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Chapter and Conference Paper
An Improved Algorithm with Azimuth Clustering for Detecting Turning Regions on GPS Trajectories
According to the latest report released by the Ministry of Agriculture (MOA) of Taiwan, the number of agriculture machinery in Taiwan exceeds 200,000. To keep track of these machinery, there are some research ...
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Chapter and Conference Paper
Light-Weight SA-BNN: High-Precision Olfactory Recognition of Binary Neural Networks
With the development of artificial intelligence, electronic nose technology, which simulates human olfaction using sensors and pattern recognition techniques, is becoming increasingly mature and widely applied...
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Chapter and Conference Paper
A Data-Driven Approach for Building a Cardiovascular Disease Risk Prediction System
Cardiovascular disease is a leading cause of mortality worldwide. The disease can develop without showing apparent symptoms at an early stage, making it difficult for domain experts to provide intervention. Us...
