Browse Conferences
Dense Crowd Counting Algorithm Based on Coordinate Attention Mechanism and Inverse Distance Mapping
Aiming at the problem of high density crowd with complex background and poor crowd density estimation ability, a dense crowd counting algorithm based on coordinate attention mechanism and inverse distance mapping is proposed. Firstly, the c...
Pedestrian Detection Algorithm Based on Improved YOLO v5
Aiming at the problems such as large scale change and poor detection accuracy, an improved YOLOv5 pedestrian detection algorithm based on drone view was proposed.Firstly, a multi-scale bidirectional feature network structure was proposed to...
RGBT Object Tracking Algorithm Based on an Adaptive Feature Fusion Mechanism
To address the low accuracy and poor robustness of traditional RGBT object tracking algorithms, this paper proposes a new RGBT object tracking algorithm based on an adaptive feature fusion mechanism. Firstly, it enhances the feature extract...
PostgreSQL Database Parameter Optimization Based on Reinforcement Learning
Traditional methods for configuring PostgreSQL database parameters mainly rely on manual experience and trial and error, which are inefficient and difficult to find the optimal configuration. This paper proposes a method based on reinforcem...
Research on Pest Identification Algorithm Based on Deep Learning
In order to solve the problems of difficulty, slow speed and low accuracy in the process of pest identification, In this paper, the IP102 dataset is used as the experimental object, the dataset was trained using the original Faster-rcnn mod...
Calculation of Myometrial Invasion Depth of Early Endometrial Cancer MRI Images Based on Deep Learning
The application of artificial intelligence (AI) assisted analysis in the diagnosis of endometrial cancer using magnetic resonance images (MRI) can assist doctors in accurately evaluating the depth of myometrial invasion (MI). We studied the...
Intelligent Decision-Making Item Mining of All Combat Links Based on Small Sample Data and Knowledge Base Design of Hierarchical Task Network
In this paper, the design work of this paper is carried out in view of the urgent need of dispatching the optimal agent that ADAPTS to the situation conditions in different air combat situations. Through real-time analysis of a large number...
Research on Feature Dimension Reduction Method of Serum Mass Spectrometry Data Based on Machine Learning
Mass spectrometry data is a kind of data describing the mass-to-charge ratio and relative intensity of compounds, which has the characteristics of high dimensionality, high noise, and large arithmetic capacity in processing, etc. Among them...
An Efficient Slicing Method in Integrated Network of Synaptic Computing
In the era of rapid technological progress, people have made great achievements in the construction of 5G networks. In the next decade, the integration of the digital and physical world in all dimensions is one of the themes of 6G network d...
An Optimized Poisson Multi-Bernoulli Multi-Target Tracking Algorithm
Poisson multi-Bernoulli filtering can track multiple targets in scenarios where point targets and extended targets coexist. However, when the target undergoes close-proximity, cross motion, or long-term occlusion, tracking accuracy will dec...