ASNet: Attention-Guided Structure-Aware Network for Low-Light Image Enhancement
Available online 27 December 2025
Low-light image enhancement (LLIE) aims to optimize the visibility and perceptual quality of images described under poor lighting conditions by increasing brightness and restoring fine details. This...
DualSpinNet: A crop yield prediction model based on LSTM and GRU
Available online 24 December 2025
Accurate prediction of crop yield is of great significance for agricultural production and food security. In this paper, we introduce DualSpinNet, a novel model that integrates long short-term memory...
A Defect Detection Model for Transmission Line Stockbridge Dampers Based on YOLOv11 with Privacy Protection
Available online 24 December 2025
Stockbridge dampers, critical components of transmission line integrity management, require precise defect detection to ensure grid reliability. While deep learning has emerged as powerful tools for...
Research on YOLOv3 model compression strategy for UAV deployment
2024
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...
Robot assisted knee joint RoM exercise: A PID parallel compensator architecture through impedance estimation
2024
•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...
YOLOT: Multi-Scale and Diverse Tire Sidewall Text Region Detection Based on You-Only-Look-Once(YOLOv5)
2024
Driving safety is significant to building a people-oriented and harmonious society, Tires are one of the key components of a vehicle and the character information on the tire sidewall is critical to...
POMDP-based probabilistic decision making for path planning in wheeled mobile robot
2024
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...
SRGAN in underwater vision
2024
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...
Optimizing Speech Emotion Recognition with Hilbert Curve and convolutional neural network
2024
•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...
Scalable and cohesive swarm control based on reinforcement learning
2024
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...
Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method
2024
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...
An improved single short detection method for smart vision-based water garbage cleaning robot
2024
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...
High-fidelity learning-based motion cueing algorithm by bypassing worst-case scenario-based tuning technique
2024
The motion cueing algorithm (MCA) enhances the realism of simulator driving experiences by generating vehicle motions within platform limitations. Existing MCAs are typically tuned for worst-case scenarios,...
Unmanned aerial vehicles advances in object detection and communication security review
2024
Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent years, with a wide range of applications in areas such as surveying, delivery, and security. UAV technology plays an important...
A new paradigm to study social and physical affordances as model-based reinforcement learning
2024
Social affordances, although key in human-robot interaction processes, have received little attention in robotics. Hence, it remains unclear whether the prevailing mechanisms to exploit and learn affordances...
Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration
2024
Mobile robot path planning involves decision-making in uncertain, dynamic conditions, where Reinforcement Learning (RL) algorithms excel in generating safe and optimal paths. The Deep Deterministic...
Emerging trends in human upper extremity rehabilitation robot
2024
Stroke is a leading cause of neurological disorders that result in physical disability, particularly among the elderly. Neurorehabilitation plays a crucial role in helping stroke patients recover from...
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...
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...
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...
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...
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....
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...
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...