Network & Distributed Systems: Recent submissions
Now showing items 21-40 of 64
-
Secure Vehicular Platoon Management against Sybil Attacks
( MDPI , 2022 , Article)The capacity of highways has been an ever-present constraint in the 21st century, bringing about the issue of safety with greater likelihoods of traffic accidents occurring. Furthermore, recent global oil prices have ... -
Certrust: An SDN-Based Framework for the Trust of Certificates against Crossfire Attacks in IoT Scenarios
( 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. ... -
Preface
( Institute of Physics , 2022 , Other)2022 2nd International Conference on Electron Devices and Applications was held virtually during May 13-15, 2022 via Zoom platform due to the pandemic of COVID-19. With a satisfactory ending of ICEDA 2021, ICEDA 2022 has ... -
Edge intelligence-enabled cyber-physical systems
( John Wiley and Sons Ltd , 2023 , Other)With the advent of the Internet of everything era, people's demand for intelligent Internet of Things (IoT) devices is steadily increasing. A more intelligent cyber-physical system (CPS) is needed to meet the diverse ... -
Automatic variable reduction
( 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 ... -
An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Real-life problems can be expressed as optimization problems. These problems pose a challenge for researchers to design efficient algorithms that are capable of finding optimal solutions with the least budget. Stochastic ... -
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Reservoir Computing (RC) is well-suited for simpler sequential tasks which require inexpensive, rapid training, and the Echo State Network (ESN) plays a significant role in RC. In this article, we proposed variations of ... -
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Since situation awareness (SA) plays an important role in many fields, the measure of SA is one of the most concerning problems. Using physiological signals to evaluate SA is becoming a popular research topic because of ... -
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
( National Science Foundation , 2022 , Other)Artificial Intelligence (Al) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as Al is used increasingly in real world use cases, the importance of the ... -
A Voting-Mechanism-Based Ensemble Framework for Constraint Handling Techniques
( 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 ... -
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics
( 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 ... -
Hybrid Multi-Objective Optimization Approach With Pareto Local Search for Collaborative Truck-Drone Routing Problems Considering Flexible Time Windows
( 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 ... -
Wireless Network Slice Assignment with Incremental Random Vector Functional Link Network
( IEEE Computer Society , 2022 , Article)This paper presents an artificial intelligence-assisted network slice prediction method, which utilizes a novel incremental random vector functional link (IRVFL) network to deal with the wireless network slice assignment ... -
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)A teacher in a school plays significant role in classroom while teaching the students. Similarly, learning via privileged information (LUPI) gives extra information generated by a teacher to 'teach' the learning algorithm ... -
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Time series forecasting remains a challenging task in data science while it is of great relevance to decision-making in various industries such as transportation, finance, electricity resource management, meteorology. ... -
Representation learning using deep random vector functional link networks for clustering: Representation learning using deep RVFL for clustering
( 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 ... -
Oblique and rotation double random forest
( 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. ... -
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?
( Elsevier Ltd , 2022 , Article)To overcome the pitfalls of Random Vector Functional Link (RVFL), a network called Stochastic Configuration Networks (SCN) has been proposed. By constraining and adaptively selecting the range of randomized parameters using ... -
Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling
( 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 ... -
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
( Elsevier Ltd , 2022 , Article)Randomized neural networks have become more and more attractive recently since they use closed-form solutions for parameter training instead of gradient-based approaches. Among them, the random vector functional link network ...