14,431 Result(s)
within
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Computer Science
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Article
Correction to: A heuristic hybrid instance reduction approach based on adaptive relative distance and k-means clustering
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Article
Cleaner fish optimization algorithm: a new bio-inspired meta-heuristic optimization algorithm
This paper proposes a new meta-heuristic optimization algorithm called Cleaner Fish Optimization algorithm (CFO) inspired by cleaner fish. The CFO simulates the movement behavior of cleaner fish when performin...
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A multi-scale feature extraction and fusion method for bearing fault diagnosis based on hybrid attention mechanism
Bearing failure is one of the most common failures in rotating mechanical. Therefore, rapid and accurate diagnosis of bearing faults is of great significance for ensuring the reliability of equipment. In recen...
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Research on the algorithm of detecting insulators in high-voltage transmission lines using UAV images
Insulator defect detection is an important task of power line inspection, but because the insulator defect target occupies a small area in the transmission line image, and the background is complex and changea...
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TS-Finder: privacy enhanced web crawler detection model using temporal–spatial access behaviors
Web crawler detection is critical for preventing unauthorized extraction of valuable information from websites. Current methods rely on heuristics, leading to time-consuming processes and inability to detect n...
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Generalized sampling expansion for the quaternion linear canonical transform
The theory of quaternions has gained firm ground in recent times and is being widely explored, with the field of signal and image processing being no exception. However, many important aspects of quaternionic ...
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Multiscale attention feature fusion network for rolling bearing fault diagnosis under variable speed conditions
The vibration signal of rolling bearing contains abundant fault information. However, due to the existence of variable speed, it is easy to conceal the fault characteristics in the vibration signal, which make...
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An improved rolling bearing fault diagnosis method using DenseNet-BLSTM
To solve the problems of the conventional rolling bearing fault diagnosis method requiring a large amount of prior knowledge and easy to introduce error artificially, this paper presents a DenseNet-BLSTM metho...
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LC-PBFT: Layered cross-chain consensus algorithm based on forest topology
As the core of blockchain technology, the consensus mechanism ensures the safe and stable operation of the blockchain system. According to the more complex traceability of data when sharing cross-system and cr...
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A new weighted ensemble model-based method for text implication recognition
In the context of text entailment recognition, there exists a risk of getting stuck in local optima when using a single pretrained model. To address this issue and improve the accuracy of model recognition, th...
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Multi-task scheduling in vehicular edge computing: a multi-agent reinforcement learning approach
Vehicular Edge Computing (VEC) represents a computational paradigm designed to optimize vehicular performance and enhance vehicle services. It entails strategically deploying computational and storage resource...
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A three-stage quality evaluation method for experience products: taking animation as an example
The diversity and dynamics of quality index information bring challenges to quality assessment of experience products. This paper proposes a three-stage quality assessment method based on grounded theory, asso...
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Exploration and Exploitation of Unlabeled Data for Open-Set Semi-supervised Learning
In this paper, we address a complex but practical scenario in semi-supervised learning (SSL) named open-set SSL, where unlabeled data contain both in-distribution (ID) and out-of-distribution (OOD) samples. Un...
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Accurate entropy modeling in learned image compression with joint enchanced SwinT and CNN
Recently, learned image compression (LIC) has shown significant research potential. Most existing LIC methods are CNN-based or transformer-based or mixed. However, these LIC methods suffer from a certain degre...
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Open AccessRobot remote control using virtual reality headset: studying sense of agency with subjective distance estimates
Mobile robots have many applications in the modern world. The autonomy of robots is increasing, but critical cases like search and rescue missions must involve the possibility of human intervention for ethical...
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Open AccessNon-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics
Active surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying patients who may benefit from AS relies on unpleasant prostate ...
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Article
Lightweight safety helmet detection algorithm using improved YOLOv5
In response to the challenges faced by existing safety helmet detection algorithms when applied to complex construction site scenarios, such as poor accuracy, large number of parameters, large amount of comput...
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DQN-PACG: load regulation method based on DQN and multivariate prediction model
Demand response plays a pivotal role in modern smart grid systems, aiding in balancing energy consumption. However, the increasing energy demands of contemporary society have placed a significant burden on pow...
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Periodic and random incremental backup policies in reliability theory
For a 24/7 database system, backups should be implemented right after a large volume of data has been updated, putting their backup windows in non-busy states with user’s convenience.From this viewpoint, this ...
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Article
Young-gaze: an appearance-based gaze estimation solution for adolescents
According to the World Health Organization survey, the global incidence of adolescent mental illness is 28%, while the disease detection rate is only 24.6%. Many existing works use complex eye-tracking devices...
