Improving log anomaly detection via spatial pooling: Combining SPClassifier with ensemble method
2024
In the ever-updating field of software development, new bugs emerge daily, requiring significant time for analysis. As a result, research is being conducted on automating bug resolution using techniques...
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Fourier Hilbert: The input transformation to enhance CNN models for speech emotion recognition
2024
Signal processing in general, and speech emotion recognition in particular, have long been familiar Artificial Intelligence (AI) tasks. With the explosion of deep learning, CNN models are used more...
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space
2024
Underwater Wireless Sensor Networks (UWSNs) are widely used in naval military field and marine resource exploration. However, challenges such as resource inefficiency and unbalanced energy consumption...
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Autonomous novel class discovery for vision-based recognition in non-interactive environments
2024
Visual recognition with deep learning has recently been shown to be effective in robotic vision. However, these algorithms tend to be build under fixed and structured environment, which is rarely the...
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Big Data Course Multidimensional Evaluation Model based on Knowledge Graph enhanced Transformer
2024
•We proposed a “1 + 1 + N” big data course unified system.•We proposed a knowledge graph enhanced transformer evaluation model.•Experimental results and practice have proven the effectiveness....
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Power inspection UAV task assignment matrix reversal genetic algorithm
2024
Traditional manual power inspections are characterized by low efficiency, lengthy processes, and high costs. Existing research on UAV-based power inspections has often overlooked critical factors such...
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Safe reinforcement learning for high-speed autonomous racing
2023
The conventional application of deep reinforcement learning (DRL) to autonomous racing requires the agent to crash during training, thus limiting training to simulation environments. Further, many DRL...
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Selection of PSO parameters based on Taguchi design-ANOVA- ANN methodology for missile gliding trajectory optimization
2023
The proposed research deals with selection of particle swarm optimization (PSO) algorithm parameters for missile gliding trajectory optimization relying on Taguchi design of experiments, analysis of...
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Fault diagnosis using transfer learning with dynamic multiscale representation
2023
A critical problem for fault diagnosis is caused by the feature shift under different working conditions, which significantly degenerates the diagnosis accuracy in practice. Aiming to solve this problem,...
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Lightweight YOLOv5 model based small target detection in power engineering
2023
Deep learning architectures have yielded a significant leap in target detection performance. However, the high cost of deep learning impedes real-world applications, especially for UAV and UGV platforms....
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Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming the field of advanced...
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Generative artificial intelligence in the metaverse era
2023
Generative artificial intelligence (AI) is a form of AI that can autonomously generate new content, such as text, images, audio, and video. Generative AI provides innovative approaches for content production...
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Artificial intelligence based hybridization for economic power dispatch
2023
Revenue loss is a major issue for any country. Conversion of this loss into utilization would prove to be a huge benefit to the country. In view of this fact, the economic load dispatch problem draws...
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Co-attention learning cross time and frequency domains for fault diagnosis
2023
Rolling machinery is ubiquitous in power transmission and transformation equipment, but it suffers from severe faults during long-term running. Automatic fault diagnosis plays an important role in the...
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Intelligent health management based on analysis of big data collected by wearable smart watch
2023
Some problems still exist in health management and application such as insufficient data, limited technology, and lack of professional evaluation methods by physicians with medical theory. In this study,...
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Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators
2023
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Digital Twin applications toward Industry 4.0: A Review
2023
Digital Twin is a virtual representation of objects, processes, and systems that exist in real-time. While Digital Twin can represent digital objects, they are often used to connect the physical and...
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LP-BT: A location privacy protection algorithm based on ball trees
2023
With the maturity of global positioning technology and the massive popularity of mobile terminals, location-based services can provide people with convenient and efficient assistance. To use such services,...
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Optimization of energy consumption in industrial robots, a review
2023
Optimization of energy consumption in industrial robots can reduce operating costs, improve performance and increase the lifespan of the robot during part manufacturing. Choosing energy-efficient components...
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A colorization method for historical videos
2023
The development of imaging technology has allowed people to move beyond the black-and-white era and into the age of color. However, preserved black-and-white historical footage remains a precious memory...
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An operational scrutinization of autonomous tractor-trailer robot considering motion resistance force of rubber tracked undercarriage
2023
•Motion resistance force of rubber tracked undercarriage of autonomous tractor-trailer robot has emerged in this research.•As robot drawbar pull proliferated, the motion resistance force proliferated.•Effect...
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Unmanned aerial vehicles: A review
2023
The lightweight Unmanned Aerial Vehicle (UAV) flight activities are constrained, particularly in the UAV range or activity span and perseverance, by the strategic correspondence link capabilities. This...
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Mental simulation of actions for learning optimal poses
2023
Mental simulation of actions is a powerful tool for allowing cognitive agents to develop Prospection Capabilities that are crucial for learning and memorizing key aspects in challenging actions. In...
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Review on lane detection and related methods
2023
Road detection remains a captivating and crucial aspect of any form of autonomous driving. In this manuscript, we furnish a comprehensive appraisal of recent advancements in road lane detection, a fundamental...
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