Knowledge Tracing (KT), a technique for modeling students' knowledge levels and predicting their future question-answering performance based on their historical answer data, is one of the key research areas to str...
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Deep learning techniques involving Generative Adversarial networks (GANs) enable artificially generated facial images. this alone presents difficulties in terms of authenticity resulting in ethical concerns among inst...
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Social media platforms have become one of the primary communication channels worldwide. Unfortunately, these platforms are also exploited for harmful activities, with cyber bullying being a significant concern, partic...
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the proceedings contain 5 papers. the topics discussed include: DBSCAN-based malicious node detection to secure wireless sensornetworks;a study of the impact of top manager’s Taisui on IPO;Can CEO’s environmental c...
ISBN:
(纸本)9798400707537
the proceedings contain 5 papers. the topics discussed include: DBSCAN-based malicious node detection to secure wireless sensornetworks;a study of the impact of top manager’s Taisui on IPO;Can CEO’s environmental concern mitigate the impact of extreme weather on the performance of listed companies?;improved gray wolf optimization algorithm based on tanh activation inertia weights;and BERT-based federated learning to rank towards news retrieval.
this project has designed an intelligent water cup system based on based on wireless sensor network. the cup cover is provided with a memory area of a memory chip and an intelligent control system is embedded on the c...
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this study addresses the challenge of polyphonic character ambiguity in Chinese text processingthrough the development of a deep learning model capable of automatically identifying and resolving such ambiguities. the...
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the primary objective of flow field super-resolution technology is to enhance the resolution of flow field data while simultaneously reducing computational resource requirements through computational simulations and d...
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ISBN:
(纸本)9798350386783;9798350386776
the primary objective of flow field super-resolution technology is to enhance the resolution of flow field data while simultaneously reducing computational resource requirements through computational simulations and data processing methods. Building upon prior research, this study introduces a novel flow field super-resolution method composed of three essential components: an interpolation module, graph data preprocessing, and a graph neural network, referred to as RGHF. Within the interpolation module, the radial basis function interpolation method is employed. Furthermore, a pioneering graph convolution operation named GConv is introduced in the graph neural network and prediction modules. this approach effectively leverages low-resolution data to predict high-resolution data, resulting in reduced computational time while maintaining an acceptable level of precision. Experimental results on the RAE2822 airfoil dataset demonstrate an 81% reduction in computational time, along with robustness across varying flight conditions.
the proceedings contain 17 papers. the topics discussed include: application in tumor classification based on target morphological consistency patches adaptively extracted and priori guided feature extraction method;h...
ISBN:
(纸本)9798350337396
the proceedings contain 17 papers. the topics discussed include: application in tumor classification based on target morphological consistency patches adaptively extracted and priori guided feature extraction method;hierarchical construction of pulmonary vascular trees from CT images based on combined deep learning and graph topology optimization;identifying abnormal sessions via adversarial learning on heterogeneous information network;design of an epidemic prevention and control system based on SIR model: a community-based example;classification of skin tumor lesions based on transfer learning using dermoscopic images;deep neuroevolution to predict astrocytoma grade from functional brain networks;and two-stage method for automatic detection of pelvic landmarks.
Poultry farming plays a crucial part in fulfilling the need for animal protein worldwide, but the industry faces significant challenges in controlling infectious diseases that impact bird health and productivity. Prot...
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Recent advancements in text-to-image generation allow the creation of diverse images from textual descriptions. However, personalizing these models for specific subjects remains challenging. Existing techniques like d...
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