An improved YOLOv5m fighting behavior detection algorithm is proposed to address the problem of insufficient accuracy and real-time performance of behavior detection algorithms for aerial viewpoints. Three UAVs locate...
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The proceedings contain 118 papers. The topics discussed include: comparative analysis of neural network-based routing algorithms for wireless sensor networks;leveraging ShuffleNet and LLaVA-Phi for state-of-the-art i...
ISBN:
(纸本)9798350385199
The proceedings contain 118 papers. The topics discussed include: comparative analysis of neural network-based routing algorithms for wireless sensor networks;leveraging ShuffleNet and LLaVA-Phi for state-of-the-art image deblurring and description for mobile devices;spotting deep fakes: exploring detection techniques for image recognition;a transfer learning approach for enhancing road surface classification in intelligent driving systems;advanced U-Net++ architecture for precise brain tumor segmentation in MRI images: a robust solution for medical image analysis;a modeling and control of load frequency for interconnected thermal/hydro/nuclear power system using pi and fuzzy controller;systematic exploration of GAN-generated image recognition techniques;controlling mouse cursor through eye movement;improvement of power quality in distribution network at low voltage side by using DVR;facial emotion recognition using image filtering techniques;and enhancing financial trading strategies: a comprehensive sentiment analysis pipeline.
An image encryption algorithm based on chaotic scrambling and DNA sequence multi-rule coding is proposed. Through the research of related algorithms, the original image and the chaotic sequence generated by Logistic c...
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Low-rank matrix estimation is an important tool in modern data analysis and machine learning. The basic idea of low-rank matrix estimation is to estimate the original matrix with a low-rank matrix, thereby achieving d...
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Lung cancer being one of the catastrophic diseases is haunting mankind from past seven decades. Unfortunately, early detection of lung cancer is unlikely, hence leading to highest mortality rates. However, various ima...
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The study develops a score prediction model to evaluate player performance. The model is established with two metrics (one-step accuracy and five-step accuracy) to measure its precision. Three different algorithms, in...
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a kind of spatial-temporal neural network video smoke detection algorithm is proposed in order to solve the problems associated with the incorrect classification of the static approximate smoke background in the face ...
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Leaf Area Index (LAI) holds significant importance as a specific characteristic of Leaf Areas in the field of smart agriculture. This study explores the estimation of LAI using a multi-spectral image from WorldView 3 ...
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ISBN:
(纸本)9798350386202;9798350386196
Leaf Area Index (LAI) holds significant importance as a specific characteristic of Leaf Areas in the field of smart agriculture. This study explores the estimation of LAI using a multi-spectral image from WorldView 3 satellite. The image combines 8 VNIR bands and has a spatial resolution of 1.24m. To overcome the limited amount of available data, the image was split into smaller subsets called paxels, resulting in 500 paxels for training and testing. For enhancing machine learning models. performance, the standardisation of a dataset is made, after that, a Multilayer Perceptron with a specific architecture aimed to predict LAI from the multiple bands is trained. The achieved results showed promising performance in LAI prediction. Overall, the study demonstrates the potential of using satellite imagery and machine learning algorithms to improve our understanding of crop health and productivity.
With the rise in clinicopathologic prognosis and the introduction of whole slide imaging scanners, artificial intelligence systems are being suggested to assist pathologists in their decision-making processes. Despite...
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In the process of acceptance measurement based on drone point cloud data, the mining cars in the open-pit mining area will generate a large number of pseudo terrain points in the 3D point cloud modeling process. If th...
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