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A privacy-preserving image retrieval scheme with access control based on searchable encryption in media cloud
With the popularity of the media cloud computing industry, individuals and organizations outsource image computation and storage to the media cloud...
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Spatio-temporal wind speed forecasting with approximate Bayesian uncertainty quantification
The prediction of short- and long-term wind speed has great utility for the industry, especially for wind energy generation. Deep neural networks can...
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Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network
Network selection in heterogeneous wireless networks (HWNs) is a complex issue that requires a thorough understanding of service features and user...
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CCT-DOSA: a hybrid architecture for road network extraction from satellite images in the era of IoT
This research addresses the critical task of road network extraction from satellite images within the context of satellite IoT environments in urban...
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IoV security and privacy survey: issues, countermeasures, and challenges
As a growing up-and-coming branch of the Internet of Things and traditional vehicular ad hoc networks, the Internet of Vehicles (IoV) is intended to...
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CoFF-CHP: coarse-to-fine filters with concept heuristic prompt for few-shot relation classification
Few-shot relation classification (RC) is a crucial task that aims to identify the relationships between entity pairs with limited mentions. However,...
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Time delay compensated disturbance observer-based sliding mode slave controller and neural network model for bilateral teleoperation system
With the advancement of robotics, mechatronic systems, and automation systems, bilateral teleoperation systems are utilized for performing tasks in...
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A novel discrete slash family of distributions with application to epidemiology informatics data
This study puts forward a new class of discrete distribution that can be used by the epidemiologists and medical scientists to model data relating to...
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Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
This study investigated factors that predict the acceptance of metaverse applications for educational usage among university students from the facet...
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Effective multi-scale enhancement fusion method for low-light images based on interest-area perception OCTM and “pixel healthiness” evaluation
Low-light images suffer from low contrast and low dynamic range. However, most existing single-frame low-light image enhancement algorithms are not...
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Delineation of ECG waveform components using encoder-decoder architecture with Postprocess algorithm
With the exponential increase in heart disease cases, it is essential to construct models (algorithms) that can be used to delineate...
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Performance Enhancement of Aquivion-based Ionic Polymer Metal Composites for Cylindrical Actuators
As a kind of ionic artificial muscle material, Ionic Polymer–Metal Composites (IPMCs) have the advantages of a low drive current, light weight, and...
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Temporal analysis of topic modeling output by machine learning techniques
Topic modeling is widely recognized as one of the most effective and significant methods of unsupervised text analysis. This method facilitates...
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Hardware architecture and memristor-crossbar implementation of type-2 fuzzy system with type reduction and in-situ training
The Type-2 fuzzy set is a fuzzy set with fuzzy membership degrees. This set is used when accurately determining the membership degree of a fuzzy set...
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A Multiple Environment Available Path Planning Based on an Improved A* Algorithm
The objective of the path planning for a mobile robot is to generate a collision-free path from a starting position to a target position, aiming to...
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Efficient Heart Disease Classification Through Stacked Ensemble with Optimized Firefly Feature Selection
In the current century, heart-related sickness is one of the important causes of death for all humans. An estimated 17.5 million deaths occur due to...
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The maximum number of homogeneous weights of linear codes over chain rings
The problem of determining the largest possible number of distinct Hamming weights in several classes of codes over finite fields was studied...
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Enhancing virtual machine placement efficiency in cloud data centers: a hybrid approach using multi-objective reinforcement learning and clustering strategies
Deploying virtual machines poses a significant challenge for cloud data centers, requiring careful consideration of various objectives such as...
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Modeling end-to-end delays in TSCH wireless sensor networks using queuing theory and combinatorics
Wireless communication offers significant advantages in terms of flexibility, coverage and maintenance compared to wired solutions and is being...
