Due to its high mortality rate and limited survival duration, early identification of breast cancer is vital. The primary application of machinelearning models has been the prediction and early diagnosis of breast ca...
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This article introduces the structures of three classical convolutional neural networks: VGG16, InceptionV3, and ResNet50, and compares their performance on galaxy morphology classification. The different structures o...
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Unmanned aerial vehicles (UAVs) have been widely used in different tasks. Path planning is the most important factor in the operation of UAVs. This paper proposes a 3D path planning method based on an improved A∗ algo...
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This study is dedicated to architecting a data management and analysis platform, integrating advanced computer technologies and machinelearning algorithms. Traditional approaches often fall short in handling and anal...
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Computer vision is developing really fast in recent years, and object detection is now one of the hottest topics. faster region-based convolutional neural network (faster R-CNN) and You Only Look Once (YOLOv3) are two...
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Neural networks, as powerful models for solving many genuine problems, are suffering from the issue of being too computationally intensive due to the excessive size of the models themselves and the large datasets used...
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Both brain-computer interface (BCI) and metaverse technology are emerging research fields involving computer science, neuroscience, psychological, cognitive science, biomedical engineering, mathematics, signal process...
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Vertical farming, a terminology in landscape architecture, is designed to cater for the demand of vegetation under the impact of excessive exploid of land, especially in densely-populated areas. The study takes vertic...
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In this paper, we describe a framework for model development of InGaAs FinFET based on machinelearning. An artificial neural network is used to create the model, and TCAD simulation data was used to train it. The mod...
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It's feasible that today's telecommunications networks may benefit greatly from the use of machinelearning (ML) methods to contemporary optical communication systems. Since our previous conversation, machine ...
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