Adaptive Clustering of Embedded Multiple Web Objects for Efficient Group Prefetching
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2023.3280246
Abstract: With the rapid development of the Industrial Internet of Things, log-based anomaly detection has become vital for smart industrial construction that has prompted many researchers to contribute. To detect anomalies based on log data, semisupervised… read more here.
Keywords: detection; industrial anomaly; adaptive clustering; self adaptive ... See more keywords
SeAC: SDN-Enabled Adaptive Clustering Technique for Social-Aware Internet of Vehicles
Sign Up to like & getrecommendations! 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
STACS: A Spatiotemporal Adaptive Clustering–Segmentation Algorithm for Fishing Activity Recognition
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15169107
Abstract: To ensure sustainable marine resource utilization, advanced monitoring methods are urgently needed to mitigate overfishing and ecological imbalances. Conventional fishing activity detection methods, including speed threshold-based approaches and Gaussian Mixture Models, often fail to accurately… read more here.
Keywords: fishing; adaptive clustering; segmentation; fishing activity ... See more keywords
Enhancing Data Security in IoT Networks with Blockchain-Based Management and Adaptive Clustering Techniques
Sign Up to like & getrecommendations! 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