cardiovascular diseases have been the primary reason for the increasing fatal rate in the recent years. Early detection of heart diseases, as well as constant clinical supervision, can reduce the death rate. To recogn...
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With the development of science and technology, more and more personal information is uploaded to the Internet, which poses a serious threat to our personal and property security. As machinelearning and deep learning...
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A model diagram is a crucial aspect of various scientific documents that are available as hard or soft copies. Often, the information captured in these diagrams is complex and needs deeper comprehension by human exper...
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In this paper, we propose an approach that improves segmentation networks with automatic augmentation networks for dental mesh data. Since conventional data augmentation is to augment all samples uniformly with predef...
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Emotion identification is a challenging endeavor since emotions can manifest in so many different ways. Recent advances have been made in the field, particularly with the development of deep neural networks, which hav...
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In mass manufacturing of jewelry, the gross loss is estimated before manufacturing to calculate the wax weight of the pattern that would be investment casted to make multiple identical pieces of jewelry. machine learn...
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With the continuous development of the film industry, audience expectations and demands are increasing. Film reviews, as crucial sources of feedback, play a significant role in the film market. Through datamining of ...
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The proceedings contain 12 papers. The special focus in this conference is on Intelligent Edge Processing in the IoT Era, and Smart Governance for Sustainable Smart Cities. The topics include: Continuous Measurement o...
ISBN:
(纸本)9783031359811
The proceedings contain 12 papers. The special focus in this conference is on Intelligent Edge Processing in the IoT Era, and Smart Governance for Sustainable Smart Cities. The topics include: Continuous Measurement of Air Pollutant Concentrations in a Roadway Tunnel in Southern Italy;rating Urban Transport Services Quality Using a Sentiment Analysis Approach;edge Computing with Low-Cost Cameras for Object Detection in Smart Farming;Evaluating Maximum Operating Distance in COTS RFID TAGS for Smart Manufacturing;philippine Stock Direction Forecasting Utilizing Technical, Fundamental, and News Sentiment data;ioT Architectures for Indoor Radon Management: A Prospective Analysis;adversarial Training for Better Robustness;integrating Computer Vision and Crowd Sourcing to Infer Drug Use on Streets: A Case Study with 311 data in San Francisco;machinelearning Approach to Crisis Management Exercise Analysis: A Case Study in SURE Project;quantitative Evaluation of Saudi E-government Websites Using a Web Structure mining Methodology.
The proceedings contain 26 papers. The special focus in this conference is on Intelligent Computers, Algorithms, and Applications. The topics include: KGCN-DDA: A Knowledge Graph Based GCN Method for Drug-Disease Asso...
ISBN:
(纸本)9789819700646
The proceedings contain 26 papers. The special focus in this conference is on Intelligent Computers, Algorithms, and Applications. The topics include: KGCN-DDA: A Knowledge Graph Based GCN Method for Drug-Disease Association Prediction;machinelearning for Time-to-Event Prediction and Survival Clustering: A Review from Statistics to Deep Neural Networks;label-Independent Information Compression for Skin Diseases recognition;3D Approach Trajectory Optimization Based on Combined Intelligence Algorithms;A-SMGCS: Innovation, Applications, and Future Prospects of Modern Aviation Ground Movement Management System;an Intelligent Image Segmentation Annotation Method Based on Segment Anything Model;ParticleNet for Jet Tagging in Particle Physics on FPGA;application of Graph Neural Networks in Dark Photon Search with Visible Decays at Future Beam Dump Experiment;second-Order Gradient Loss Guided Single-Image Super-Resolution;Neutrino Reconstruction in TRIDENT Based on Graph Neural Network;charged Particle Reconstruction for Future High Energy Colliders with Quantum Approximate Optimization Algorithm;A Levy Scheme for User-Generated-Content Platforms and Its Implication for Generative AI Providers;Moving Beyond Text: Multi-modal Expansion of the Toulmin Model for Enhanced AI Legal Reasoning;The Worldwide Contradiction of the GAI Regulatory Theory Paradigm and China’s Response: Focus on the Theories of Normative Models and Regulatory Systems;Intelligent Forecasting of Trademark Registration Appeal with TF-IDF and XGBoost;review of Big data Evidence in Criminal Proceedings: Basis of Academic Theory, Practical pattern and Mode Selection;The Implementation and Optimization of FFT Calculation Based on the MT-3000 Chip;EDFI: Endogenous database Fault Injection with a Fine-Grained and Controllable Method;diffusion Probabilistic Models for Underwater Image Super-Resolution;classification Method for Ship-Radiated Noise Based on Joint Feature Extraction;Forecasting the Price of Bitcoin
For aspect, a convolution Neural Network (CNN) for cardiac arrest would help establish a better output. Whilst a cardiac arrest occurs, the limited interventions available to shop-affected person's lives are relat...
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