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07/11/2023
PePNet: A Periodicity-Perceived Workload Prediction Network Supporting Rare Occurrence of Heavy Workload
Cloud providers can greatly benefit from accurate workload prediction. H...
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07/11/2023
Transaction Fraud Detection via an Adaptive Graph Neural Network
Many machine learning methods have been proposed to achieve accurate tra...
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01/20/2022
Transfer Learning for Fault Diagnosis of Transmission Lines
Recent artificial intelligence-based methods have shown great promise in...
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01/18/2022
Frequent Itemset-driven Search for Finding Minimum Node Separators in Complex Networks
Finding an optimal set of critical nodes in a complex network has been a...
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01/01/2022
IoT-based Route Recommendation for an Intelligent Waste Management System
The Internet of Things (IoT) is a paradigm characterized by a network of...
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12/19/2021
A Novel Load Balancing Scheme for Mobile Edge Computing
To overcome long propagation delays for data exchange between the remote...
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12/03/2021
Feature Importance-aware Graph Attention Network and Dueling Double Deep Q-Network Combined Approach for Critical Node Detection Problems
Detecting critical nodes in sparse networks is important in a variety of...
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03/04/2021
MOGAN: Morphologic-structure-aware Generative Learning from a Single Image
In most interactive image generation tasks, given regions of interest (R...
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02/11/2021
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)
Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitiv...
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01/15/2021
Variable Petri Nets for Mobility
Mobile computing systems, service-based systems and some other systems w...
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08/29/2020
AI-based Modeling and Data-driven Evaluation for Smart Manufacturing Processes
Smart Manufacturing refers to optimization techniques that are implement...
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06/20/2020
G-image Segmentation: Similarity-preserving Fuzzy C-Means with Spatial Information Constraint in Wavelet Space
G-images refer to image data defined on irregular graph domains. This wo...
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04/15/2020
Residual-driven Fuzzy C-Means Clustering for Image Segmentation
Due to its inferior characteristics, an observed (noisy) image's direct ...
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02/21/2020
Kullback-Leibler Divergence-Based Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet Frames for Image Segmentation
Although spatial information of images usually enhance the robustness of...
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02/14/2020
Residual-Sparse Fuzzy C-Means Clustering Incorporating Morphological Reconstruction and Wavelet frames
Instead of directly utilizing an observed image including some outliers,...
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12/28/2018
Beam with Adaptive Divergence Angle in Free-Space Optical Communications for High-Speed Trains
In this paper, we propose an adaptive beam that adapts its divergence an...
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04/25/2018
