LAUSR

Adaptive Clustering of Embedded Multiple Web Objects for Efficient Group Prefetching

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1 Published in 2017 at "Arabian Journal for Science and Engineering"

DOI: 10.1007/s13369-016-2318-9

Abstract: The resources in the World Wide Web are rising to large extent. Furthermore, the services and applications provided by the web are directly proportional to its growth. Hence, web traffic is large, and gaining access… read more here.

Keywords: embedded multiple; web objects; clustering embedded; objects efficient ... See more keywords

Identification and off-policy learning of multiple objectives using adaptive clustering

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0 Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.04.074

Abstract: Abstract In this work, we present a methodology that enables an agent to make efficient use of its exploratory actions by autonomously identifying possible objectives in its environment and learning them in parallel. The identification… read more here.

Keywords: policy learning; adaptive clustering; multiple objectives; identification policy ... See more keywords

Spatiotemporal Data-Adaptive Clustering Algorithm: An Intelligent Computational Technique for City Big Data

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0 Published in 2021 at "Annals of the American Association of Geographers"

DOI: 10.1080/24694452.2021.1935207

Abstract: The emerging paradigm of the modern city demands big data analytics in urban studies. Data mining techniques for big data have the potential to ascertain strategic insights for current and future c... read more here.

Keywords: big data; city; clustering algorithm; spatiotemporal data ... See more keywords

Improving Destination Prediction via Ensemble of Trajectory Movement Separation and Adaptive Clustering

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0 Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2971388

Abstract: Destination prediction has attracted more and more attention due to its broad applications in location-based services such as traffic navigation, hotel recommendation and personalized advertising. It aims to predict future destination locations according to historical… read more here.

Keywords: trajectory movement; destination prediction; adaptive clustering; destination ... See more keywords

A New Density Peak Clustering Algorithm With Adaptive Clustering Center Based on Differential Privacy

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2022.3233196

Abstract: A new density peak clustering (DPC) algorithm with adaptive clustering center based on differential privacy was proposed to solve the problems of poor adaptability of high-dimensional data, inability to automatically determine clustering centers, and privacy… read more here.

Keywords: adaptive clustering; privacy; clustering center; density ... See more keywords

Application of Sample-Compressed Neural Network and Adaptive-Clustering Algorithm for Magnetotelluric Inverse Modeling

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1 Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2020.3005796

Abstract: In this letter, two machine learning algorithms are improved, including a sample-compressed neural network algorithm for magnetotelluric (MT) inversion and an adaptive-clustering analysis algorithm for boundary demarcation. MT is widely used in deep geological structure… read more here.

Keywords: algorithm; sample compressed; algorithm magnetotelluric; compressed neural ... See more keywords

SeAC: SDN-Enabled Adaptive Clustering Technique for Social-Aware Internet of Vehicles

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2 Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2023.3237321

Abstract: Since millions of smart vehicles in Internet-of-Vehicles (IoV) produce and relay data to analyze road conditions, creating social networks of vehicles in IoV is an important factor for the future Intelligent Transportation System (ITS). Likewise,… read more here.

Keywords: enabled adaptive; adaptive clustering; internet vehicles; clustering technique ... See more keywords

Enhancing Data Security in IoT Networks with Blockchain-Based Management and Adaptive Clustering Techniques

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1 Published in 2023 at "Mathematics"

DOI: 10.3390/math11092073

Abstract: The rapid proliferation of smart devices in Internet of Things (IoT) networks has amplified the security challenges associated with device communications. To address these challenges in 5G-enabled IoT networks, this paper proposes a multi-level blockchain… read more here.

Keywords: network; adaptive clustering; enhancing data; iot networks ... See more keywords