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Found 7 papers, 1 papers with code
VRHCF: Cross-Source Point Cloud Registration via Voxel Representation and Hierarchical Correspondence Filtering
Our method exhibits versatile applicability and excels in both traditional homologous registration and challenging cross-source registration scenarios.
Real-Time Object Detection in Occluded Environment with Background Cluttering Effects Using Deep Learning
The accuracy and frame per second of the SSD-Mobilenet v2 model are higher than YOLO V3 and YOLO V4.
SphereNet: Learning a Noise-Robust and General Descriptor for Point Cloud Registration
However, most methods are susceptible to noise and have poor generalization ability on unseen datasets.
Experimental Comparison of SNR and RSSI for LoRa-ESL Based on Machine Clustering and Arithmetic Distribution
Received signal strength indicator (RSSI) decreases due to collision, interference, and near-far effect while for signal-to-noise ratio (SNR), the packets are rejected by decreasing the transmission power (TP) at a higher spreading factor (SF).
Analysis of the Production Strategy of Mask Types in the COVID-19 Environment
After the research and analysis of the production strategy of mask types, it has a positive effect on how to guide the resumption of work and production.
Analysis of OODA Loop based on Adversarial for Complex Game Environments
In the validation process, the OODA loop theory is used to describe the operation process of the complex system between red and blue sides, and the four-step cycle of observation, judgment, decision and execution is carried out according to the number of armor of both sides, and then the OODA loop system adjusts the judgment and decision time coefficients for the next confrontation cycle according to the results of the first cycle.
Neural Network Structure Design based on N-Gauss Activation Function
Recent work has shown that the activation function of the convolutional neural network can meet the Lipschitz condition, then the corresponding convolutional neural network structure can be constructed according to the scale of the data set, and the data set can be trained more deeply, more accurately and more effectively.
