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Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Satellite observation scheduling plays a significant role in improving the efficiency of Earth observation systems. To solve the large-scale multisatellite observation scheduling problem, this article proposes an ensemble ...
Oblique and rotation double random forest
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Elsevier Ltd
, 2022 , Article)
Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among them are the ensemble models’ core strength. ...
Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The collaboration of drones and trucks for last-mile delivery has attracted much attention. In this paper, we address a collaborative routing problem of the truck-drone system, in which a truck collaborates with multiple ...
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Deep learning for electroencephalogram-based classification is confronted with data scarcity, due to the time-consuming and expensive data collection procedure. Data augmentation has been shown as an effective way to improve ...
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Effective constraint handling techniques (CHTs) are of great significance for evolutionary algorithms (EAs) dealing with constrained optimization problems (COPs). To date, many CHTs, such as penalty function, superiority ...
Automatic variable reduction
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ...
Edge computing-enabled green multisource fusion indoor positioning algorithm based on adaptive particle filter
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Springer
, 2023 , Article)
Edge computing enables portable devices to provide smart applications, and the indoor positioning technique offers accurate location-based indoor navigation and personalized smart services. To achieve the high positioning ...
Enhanced Beidou user equipment access authentication protocol based on location key
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Editorial Board of Journal on Communications
, 2022 , Article)
In order to solve the shortcomings of the existing Beidou user equipment access solutions such as prolonged authentication, and in response to the need of user privacy protection, a user equipment access authentication ...
Active Computing Toward 5G Internet of Things
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The Internet of Things (IoT) contains enormous computing resources. How to fully and efficiently use computing power is a very important research issue. This article proposes an active computing (AC) concept toward IoT. ...
Certrust: An SDN-Based Framework for the Trust of Certificates against Crossfire Attacks in IoT Scenarios
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Tech Science Press
, 2023 , Article)
The low-intensity attack flows used by Crossfire attacks are hard to distinguish from legitimate flows. Traditional methods to identify the malicious flows in Crossfire attacks are rerouting, which is based on statistics. ...