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Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering
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Elsevier Ltd
, 2022 , Article)
Random Vector Functional Link (RVFL) Networks have received a lot of attention due to the fast training speed as the non-iterative solution characteristic. Currently, the main research direction of RVFLs has supervised ...
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 ...
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
(
Elsevier
, 2021 , Article)
Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ...
Edge computing-enabled green multisource fusion indoor positioning algorithm based on adaptive particle filter
(
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
(
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
(
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. ...
A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
This paper presents a Sensing-as-a-Service run-time Service Oriented Architecture (SOA), called 3SOA, for the development of Internet of Things (IoT) applications. 3SOA aims to allow interoperability among various IoT ...