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10/30/2022
Novel Node-Based BAT for Finding All Minimal Cuts
The binary-state network, a basic network, and its components are either...
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09/20/2022
Development of a Parallel BAT and Its Applications in Binary-state Network Reliability Problems
Various networks are broadly and deeply applied in real-life application...
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09/05/2022
Newly Developed Flexible Grid Trading Model Combined ANN and SSO algorithm
In modern society, the trading methods and strategies used in financial ...
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06/28/2022
Novel Recursive Inclusion-Exclusion Technology Based on BAT and MPs for Heterogeneous-Arc Binary-State Network Reliability Problems
Current network applications, such as utility networks (gas, water, elec...
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05/30/2022
QB-II for Evaluating the Reliability of Binary-State Networks
Current real-life applications of various networks such as utility (gas,...
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04/09/2022
A BAT-based Exact-Solution Algorithm for the Series-Parallel Redundancy Allocation Problem with Mixed Components
The series-parallel (active) redundancy allocation problem with mixed co...
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02/16/2022
Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems
Reliability is an important tool for evaluating the performance of moder...
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01/15/2022
Self-Adaptive Binary-Addition-Tree Algorithm-Based Novel Monte Carlo Simulation for Binary-State Network Reliability Approximation
The Monte Carlo simulation (MCS) is a statistical methodology used in a ...
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11/23/2021
PAM: Pose Attention Module for Pose-Invariant Face Recognition
Pose variation is one of the key challenges in face recognition. Convent...
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11/21/2021
New Binary-Addition Tree Algorithm for the All-Multiterminal Binary-State Network Reliability Problem
Various real-life applications, for example, Internet of Things, wireles...
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10/26/2021
Novel Binary Addition Tree Algorithm (BAT) for Calculating the Direct Lower-Bound of the Highly Reliable Binary-State Network Reliability
Real-world applications such as the internet of things, wireless sensor ...
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10/01/2021
Implementation of Parallel Simplified Swarm Optimization in CUDA
As the acquisition cost of the graphics processing unit (GPU) has decrea...
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10/01/2021
A Novel Simplified Swarm Optimization for Generalized Reliability Redundancy Allocation Problem
Network systems are commonly used in various fields, such as power grid,...
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08/18/2021
Novel General Active Reliability Redundancy Allocation Problems and Algorithm
The traditional (active) reliability redundancy allocation problem (RRAP...
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08/01/2021
Computation of the Activity-on-Node Binary-State Reliability with Uncertainty Components
Various networks such as cloud computing, water/gas/electricity networks...
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07/28/2021
Novel Direct Algorithm for Computing Simultaneous All-Levels Reliability of Multi-state Flow Networks
All kind of networks, e.g., Internet of Things, social networks, wireles...
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05/04/2021
Novel Algorithm for Computing All-Pairs Homogeneity-Arc Binary-State Undirected Network Reliability
Among various real-life emerging applications, wireless sensor networks,...
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03/06/2021
Convolution Neural Network Hyperparameter Optimization Using Simplified Swarm Optimization
Among the machine learning approaches applied in computer vision, Convol...
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11/15/2020
Novel Bounded Binary-Addition Tree Algorithm for Binary-State Network Reliability Problems
Many network applications are based on binary-state networks, where each...
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11/07/2020
A new BAT for Acyclic Multistate Information Network Reliability Evaluation
The acyclic multistate information network (AMIN), which is a kind of MI...
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06/17/2020
Simplified Swarm Optimization for Bi-Objection Active Reliability Redundancy Allocation Problems
The reliability redundancy allocation problem (RRAP) is a well-known too...
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04/16/2020
Novel Binary-Addition Tree Algorithm (BAT) for Binary-State Network Reliability Problem
Network structures and models have been widely adopted, e.g., for Intern...
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02/11/2020
Convolutional Support Vector Machine
The support vector machine (SVM) and deep learning (e.g., convolutional ...
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12/12/2019
A New Method for Verifying d-MC Candidates
Network reliability modeling and calculation is a very important study d...
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12/06/2019
General Multi-State Rework Network and Reliability Algorithm
A rework network is a common manufacturing system, in which flows (produ...
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10/23/2019
A Novel Generalized Artificial Neural Network for Mining Two-Class Datasets
A novel general neural network (GNN) is proposed for two-class data mini...
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05/13/2019
