1,454 Result(s)
within
English
Computer Science
Algorithm Analysis and Problem Complexity
Ri** Feng
-
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...
-
Chapter and Conference Paper
Clustered Federated Learning Framework with Acceleration Based on Data Similarity
Federated Learning is a distributed machine learning framework which allows multiple participants training machine learning model without exchanging their local data. It addresses critical issues such as data ...
-
Chapter and Conference Paper
Task Offloading and Resource Allocation for Edge-Cloud Collaborative Computing
Current research mainly focuses on two-tier cloud networks with edge clouds and users. The computational power relocation and resource allocation problem is relatively under-researched in three-tier networks c...
-
Chapter and Conference Paper
AIFR: Face Recognition Research Based on Age Factor Characteristics
As we all know, the facial appearance change caused by age change leads to the low accuracy of face recognition, which is a significant difficulty in cross-age face recognition tasks. How to overcome the age p...
-
Chapter and Conference Paper
Automatic Identification of Table Contents in Electronic Component Specifications of EDA
With the rapid advancement of technology, the electronics industry has flourished in recent decades. Electronic products such as computers, mobile phones, and smart televisions are ubiquitous in our daily live...
-
Chapter and Conference Paper
Dual-Criteria Robot Control: Optimization with End-Effector Orientation Constraints
A dual-criterion control scheme for redundant robotic arms is introduced in this paper, incorporating end-effector orientation control to address the challenges of high computational complexity and the absence...
-
Chapter and Conference Paper
A Novel Method Based on Particle Swarm Optimization Support Vector Neural Network for Transformer Fault Diagnosis
In order to solve the issue of low accuracy in transformer fault diagnosis, a novel method based on particle swarm optimization support vector neural network (PSO-SVNN) is proposed in this paper. Firstly, the ...
-
Chapter and Conference Paper
A Multi-objective Method for Energy-Efficient UAV Data Collection Communications
Unmanned aerial vehicles (UAVs) have been widely used to assist wireless sensor communications (WSN). However, due to the limited battery capacity of UAVs, their energy consumption as well as endurance issues ...
-
Chapter and Conference Paper
Eco-SLAM: Resource-Efficient Edge-Assisted Collaborative Visual SLAM System
Collaboration among multiple smart agents such as robots and UAVs is critical for the key tasks of simultaneous localization and map** (SLAM), which are essential for many robotics applications. Visual SLAM ...
-
Chapter and Conference Paper
Query Optimization Mechanism for Blockchain-Based Efficient Data Traceability
Efficient traceability query processing is of utmost importance in blockchain systems. However, existing methods suffer from efficiency challenges, necessitating immediate optimization. Prior research primaril...
-
Chapter and Conference Paper
Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection
Due to the intricate dynamics of multivariate time series in cyber-physical system, unsupervised anomaly detection has always been a research hotspot. Common methods are mainly based on reducing reconstruction...
-
Chapter and Conference Paper
Image Inpainting Forensics Algorithm Based on Dual-Domain Encoder-Decoder Network
Image inpainting can fill regions of images with plausible content and can also be used to remove specific objects and leave only faint traces in inpainted images, which pose serious security issues. At presen...
-
Chapter and Conference Paper
A Chained Forwarding Mechanism for Large Messages
The proliferation of wide-bandwidth network services, e.g. high-definition video (HD video), has made the fragmentation mechanism necessary. However, conventional fragmentation mechanisms apply the same treatm...
-
Chapter and Conference Paper
Distributed Optimal Consensus Control for Heterogeneous Multi-agent System with Disturbance
This paper develops a distributed control protocol for the distributed optimal consensus problem of multi-agent systems. The dynamics of multi-agent systems are heterogeneous linear. Considering that multi-age...
-
Chapter and Conference Paper
A Multi-source Domain Adaption Approach to Minority Disk Failure Prediction
Frequent happening of disk failures affects the reliability of the storage system, which can cause jittering of performance or even data loss of services and thus seriously threaten the quality of service. Alt...
-
Chapter and Conference Paper
Improved Competitive Ratio for Edge-Weighted Online Stochastic Matching
We consider the edge-weighted online stochastic matching problem, in which an edge-weighted bipartite graph \(G=(I\cup J, E)\) ...
-
Chapter and Conference Paper
CSDSE: Apply Cooperative Search to Solve the Exploration-Exploitation Dilemma of Design Space Exploration
The design and optimization of deep neural network accelerators should sufficiently consider numerous design parameters and physical constraints that render their design spaces massive in scale and complicated...
-
Article
Open AccessFully Dynamic Contraction Hierarchies with Label Restrictions on Road Networks
In the real world, road networks with weight and label on edges can be applied in several application domains. The shortest path query with label restrictions has been receiving increasing attention recently. ...
-
Article
Open AccessA One-Size-Fits-Three Representation Learning Framework for Patient Similarity Search
Patient similarity search is an essential task in healthcare. Recent studies adopted electronic health records (EHRs) to learn patient representations for measuring the clinical similarities. These methods out...
-
Chapter and Conference Paper
Early Verification of Legal Compliance via Bounded Satisfiability Checking
Legal properties involve reasoning about data values and time. Metric first-order temporal logic (MFOTL) provides a rich formalism for specifying legal properties. While MFOTL has been successfully used for ve...
