The proceedings contain 43 papers. The topics discussed include: fundamental ray tracing project based on OpenGL with acceleration;decoupling: image occlusion removal based on image segmentation and image inpainting;v...
The proceedings contain 43 papers. The topics discussed include: fundamental ray tracing project based on OpenGL with acceleration;decoupling: image occlusion removal based on image segmentation and image inpainting;virtual flight-based design and simulation of a quadrotor UAV;application of artificial intelligence in geography;learning to self-adaptive robust dehazing network for video detection in drainage pipeline;experimental evaluations of model-based reinforcement learning combined with MPC;an adaptive dehazing network based on dark channel prior and image segmentation;a sewer disease grading method based on entropy power theory;comparison of machinelearning algorithms and feature visualization analysis for diabetes risk prediction;research on super resolution angle measurement based on esprit algorithm;and research on signal processing of upper limbs of three gestures.
The proceedings contain 9 papers. The topics discussed include: a recognition algorithm applied to apple orchard picking robot;An underground pipeline relocation decision support system based on BIM and GIS integratio...
The proceedings contain 9 papers. The topics discussed include: a recognition algorithm applied to apple orchard picking robot;An underground pipeline relocation decision support system based on BIM and GIS integration;UAV path planning method based on modeling in complex forest environment;analysis and study on path planning algorithms in the further mobile action;optimization of image style transfer algorithm based on CycleGAN;optimization of adaptive mechanism for pipeline robots;Fostc3net: a lightweight YOLOv5 based on the network structure optimization;A review of advanced techniques in simultaneous localization and mapping.
With the gradual maturation of artificial intelligence technology and the widespread application of machinelearning technology in recent years, the research direction of geographic science has shifted dramatically. I...
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This essay aims to study UAV(Unmanned Aerial Vehicle) aerial refueling technology, and by understanding the control analysis of aerial UAV refueling by comparing multiple R&D(Research And Development) teams, a mor...
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Forest is one of the core subjects of terrestrial ecosystems, and forest insects form an important part of forest ecosystems. In recent years, the monitoring of forest insects has become particularly important as fore...
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Forest is one of the core subjects of terrestrial ecosystems, and forest insects form an important part of forest ecosystems. In recent years, the monitoring of forest insects has become particularly important as forest species diversity continues to evolve. In that case, this paper proposed a methodology to identify forest insects based on machinelearning. This paper focused on three questions: for the data set, owing to the lack of existing datasets of forest insects, a delta-coder technique was used to learn the features of a few-shot dataset and generate more data(enhanced dataset) for machinelearning program to learn;for the neural network, the author pre-processed the neural network by training an improved ResNet-18 network on insect section of ImageNet, then, the pre-trained ResNet-18 network was used as prototypical network and was trained by the enhanced dataset;for the effectiveness estimation of the identification model, SVM, Res Net, and VGGNet were used to do the same identifying process and compare the accuracy of this paper's work and other three algorithms. By modifying the algorithm over and over again, a machinelearning-based forest insect identification model was derived with an accuracy of 97.89%.
Lately, Quadrotor UAVs control the attitude and position of the vehicle by adjusting four motor speeds to vary the rotor speed and achieve changes in lift. A quadrotor UAV is a six-degree-of-freedom vertical elevator....
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Data is an important element in the analysis of machinelearning. It is usually measured based on observations and is also an indispensable element in training a model. Good preparation of data helps enhance the perfo...
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Since breast cancer is the most serious disease affecting women, early detection comes as a priority. The Wisconsin Breast Cancer Dataset (WBCD), which was retrieved from the UCI database, has been applied in numerous...
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Breast cancer is often called the pink killer. The most recent statistics from the 2018 international Agency for Research on Cancer (IARC) survey show that the incidence rate of breast cancer is 24.2%, placing it firs...
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There are already 537 million people suffering from diabetes worldwide, according to the research data released by the international Diabetes Federation in 2022. It is a frequent and pervasive condition that has overt...
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