The proceedings contain 64 papers. The topics discussed include: diffusion models-based data augmentation for the cell cycle phase classification;data augmentation by using GANs and image transformation in facial emot...
The proceedings contain 64 papers. The topics discussed include: diffusion models-based data augmentation for the cell cycle phase classification;data augmentation by using GANs and image transformation in facial emotion classification;researches advanced in fine-grained image classification based on deep learning;performance analysis of attention mechanism and teacher forcing ratio based on machine translation;collaborative obstacle avoidance algorithm and simulation of swarm robots with limited viewing angle;the advance of underdetermined linear regression optimization based on implicit bias;bird audio recognition based on convolutional neural network;the configuration optimization of the plants in vertical farming by 3D modeling;robot navigation based on multi-sensor fusion;a study on the model predictive control based on convolutional neural network;channel capacity on visible light communication;and the gap between theoretical computational theories and application models.
The proceedings contain 22 papers. The topics discussed include: an efficient and robust aggregation algorithm for learning federated CNN;regeneration of gamma oscillations in large-scale neural network with complicat...
ISBN:
(纸本)9781450375733
The proceedings contain 22 papers. The topics discussed include: an efficient and robust aggregation algorithm for learning federated CNN;regeneration of gamma oscillations in large-scale neural network with complicated structure based on CUDA;support vector machine with neural network learning-based ontology for disaster risk management;an automatic scheme for optimizing the size of deep networks;feature selection using machinelearning techniques based on search engine parameters;camera re-localization by training multi-dataset simultaneously via convolutional neural network;the impact of cloud computing infrastructure capability on enterprise agility: based on the perspective of IT business alignment;information-aware message passing neural networks for graph node classification;irregular meshes for color management;feature selection and classification methods for predicting search engine ranking;and deep learning for three types of keratitis classification based on confocal microscopy images.
This paper examined two key generalization assumptions in the theoretical and computational fields and discussed three dominant pre-training models from multiple computer science concentrations. Then, this paper illus...
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A noticeable trend of machinelearning is to deal with data of various modalities. Besides multimodal motivation, learning more from general information without forgetting the prior, or incremental learning, could als...
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Predicting temperature has been a great challenge in meteorology. Accurate temperature prediction is more conducive to human production and life. This study investigated the ability of artificial neural network (ANN) ...
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As one of the basic tasks of the famous and important speech emotion recognition system, gender recognition based on speech analysis has attracted a lot of research interests in recent year. This paper considers the m...
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This paper aims to report human brain tumor classification based on machinelearning. Brain tumors have long been regarded as one of the deadliest tumors. Conventionally, without the assistance of automation tools, br...
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Melanoma is a dangerous skin cancer that may spread if not detected early. Thus, the medical industry has evolved with automated diagnostic tools that may assist physicians and even regular people diagnose an illness....
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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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The Seq2seq model has the characteristics that the encoder is used to analyze the input sequence, and the decoder is used to generate the output sequence, which is very suitable for the characteristics of machine tran...
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