1,174 Result(s)
within
Information Systems Applications (incl. Internet)
**u Tao
Chapter
Computer Science
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Chapter and Conference Paper
Research on Anti-tampering Mechanism of Massive Electric Energy Data Based on Blockchain
Aiming at the problems of malicious tampering and difficult to identify, single point of failure attacks faced by massive electric energy data storage, a blockchain-based anti-tampering mechanism for massive e...
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Chapter and Conference Paper
Sound Pressure Field Reconstruction for Ultrasound Phased Array by Linear Synthesis Scheme Optimization
Ultrasound phased array is a device that is usually used to provide mid air tactile sensations like three-dimensional shape haptics images by generating various specific sound fields. Forming foci for the ultr...
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Chapter and Conference Paper
Intelligent Industrial Auxiliary System Based on AR Technology
The traditional industrial assembly method is inefficient, and it is difficult to meet the needs of rapid production in modern society. Although many virtual assembly systems based on augmented reality technol...
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Chapter and Conference Paper
Memory-Based STOMP for Local Path Planning
Planning and navigation of mobile robots has always been a challenging problem, which has attracted a large number of scholars, especially the research on local path planners. In order to use the past planning...
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Chapter and Conference Paper
Children with ASD Prefer Observing Social Scenarios from Third-Person Perspective
This study employed visual tracking technology to explore the effects of a third-person perspective on the fixation condition of social scenarioss in children with autism spectrum disorder (ASD). This study se...
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Chapter and Conference Paper
A Novel Gras** Approach with Dynamic Annotation Mechanism
The Gras** of unknown objects is a challenging but critical problem in the field of robotic research. However, existing studies only focus on the shape of objects and ignore the impact of the differences in ...
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Chapter and Conference Paper
A GNN-Enhanced Game Bot Detection Model for MMORPGs
Game bots are automated programs that assist cheating players in obtaining huge superiority in Massively Multiplayer Online Role-Playing Games (MMORPGs), which has led to an imbalance in the gaming ecosystem a...
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Chapter and Conference Paper
A Joint Framework for Explainable Recommendation with Knowledge Reasoning and Graph Representation
With the development of recommendation systems (RSs), researchers are no longer only satisfied with the recommendation results, but also put forward requirements for the recommendation reasons, which helps imp...
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Chapter and Conference Paper
Fast Fourier Orthogonalization over NTRU Lattices
FALCON is an efficient and compact lattice-based signature scheme. It is also one of the round 3 finalists in the NIST PQC standardization process. The core of FALCON is a trapdoor sampling algorithm, which ha...
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Chapter and Conference Paper
Reconstructing Specific Neural Components for SSVEP Identification
Brain-computer interfaces (BCIs) enable the brain to communicate directly with external devices. Steady-state visual evoked potential (SSVEP) is periodic response evoked by a continuous visual stimulus at a sp...
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Chapter and Conference Paper
Efficient Attribute-Based Proxy Re-encryption for Secure Deduplication
More and more data files are stored in cloud servers because of storage space. At the same time, many cryptographic techniques have been proposed to protect data privacy. However, a large amount of duplicate d...
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Chapter and Conference Paper
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models
The pre-trained language model (eg, BERT) based deep retrieval models achieved superior performance over lexical retrieval models (eg, BM25) in many passage retrieval tasks. However, limited work has been done to...
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Chapter and Conference Paper
Gaussian Mixture Model-Based Registration Network for Point Clouds with Partial Overlap
Mainstream methods of point cloud registration can be divided into two categories: strict point-level correspondence, which is commonly used but incompatible with real-world data; and statistical calculations,...
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Chapter and Conference Paper
Online Continual Learning with Contrastive Vision Transformer
Online continual learning (online CL) studies the problem of learning sequential tasks from an online data stream without task boundaries, aiming to adapt to new data while alleviating catastrophic forgetting ...
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Chapter and Conference Paper
Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model
Recent developments in mobile games have heightened the need for mobile game bots detection, while related researches are scarce. Compared with PC games, detecting game bots in mobile games is more challenging...
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Chapter and Conference Paper
ColorFormer: Image Colorization via Color Memory Assisted Hybrid-Attention Transformer
Automatic image colorization is a challenging task that attracts a lot of research interest. Previous methods employing deep neural networks have produced impressive results. However, these colorization images...
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Chapter and Conference Paper
Patch-Based Backdoors Detection and Mitigation with Feature Masking
Pre-trained models have been employed by substantial downstream tasks, achieving remarkable achievements in transfer learning scenarios. However, poisoning the training samples guides the target model to make ...
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Chapter and Conference Paper
Geometry-Aware Single-Image Full-Body Human Relighting
Single-image human relighting aims to relight a target human under new lighting conditions by decomposing the input image into albedo, shape and lighting. Although plausible relighting results can be achieved,...
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Chapter and Conference Paper
Kernel Relative-prototype Spectral Filtering for Few-Shot Learning
Few-shot learning performs classification tasks and regression tasks on scarce samples. As one of the most representative few-shot learning models, Prototypical Network represents each class as sample average,...
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Chapter and Conference Paper
Motion and Appearance Adaptation for Cross-domain Motion Transfer
Motion transfer aims to transfer the motion of a driving video to a source image. When there are considerable differences between object in the driving video and that in the source image, traditional single do...
