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ISSN: 2667-2413

Research on YOLOv3 model compression strategy for UAV deployment

UAVs are often limited by limited resources when performing flight tasks, especially the contradiction between storage resources and computing resources when the huge YOLOv3 model is deployed on the...

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Robot assisted knee joint RoM exercise: A PID parallel compensator architecture through impedance estimation

•τ response by impedance estimation & inner feedback improves system performance.•Tracking error: ±0.02∘ & ±0.14∘ for hold & motion phases of exercise.•Increasing body heights and weights have significant...

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YOLOT: Multi-scale and diverse tire sidewall text region detection based on You-Only-Look-Once(YOLOv5)

•We created a dataset of 340 images of different tires using a 2D/3D laser scanning device, with nearly 4000 text boxes.•We conducted a detailed evaluation of YOLOv5 and provided essential guidance...

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POMDP-based probabilistic decision making for path planning in wheeled mobile robot

Path Planning in a collaborative mobile robot system has been a research topic for many years. Uncertainty in robot states, actions, and environmental conditions makes finding the optimum path for navigation...

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SRGAN in underwater vision

In recent years, the rapid industrialization of the world has led to an increasing importance of energy minerals. However, due to the scarcity of mineral resources, opportunities to rely on alternative...

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Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network

•Innovative approach: Hilbert curves for efficient data conversion in speech emotion recognition.•Efficient feature extraction: Hilbert curves, neural networks, and reduced costs for deep learning.•Cost...

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Scalable and cohesive swarm control based on reinforcement learning

Unmanned vehicles have seen a significant increase in a wide variety of fields such as for logistics, agriculture and other commercial applications. Controlling swarms of unmanned vehicles is a challenging...

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Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method

The Mobile Robot Path Problem looks to find the optimal shortest path from the starting point to the target point with collision-free for a mobile robot. This is a popular issue in robotics and in this...

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An improved single short detection method for smart vision-based water garbage cleaning robot

These days, plastic trash is exponentially overwhelming our waterways. The catastrophe has attracted global attention at this point. As a result, protecting the environment on the water's surface has...

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Optimizing Food Sample Handling and Placement Pattern Recognition with YOLO: Advanced Techniques in Robotic Object Detection

Japan, grappling with a significant labor deficit driven by a declining birthrate and an aging population, is increasingly turning towards industrial robotics, particularly in the food manufacturing...

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Safe reinforcement learning for high-speed autonomous racing

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

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

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

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

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

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

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

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

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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Digital Twin applications toward Industry 4.0: A Review

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

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

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

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

•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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