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Multidirectional short-term traffic volume prediction based on spatiotemporal networks
Traffic volume (i.e., the volumes of cars, bikes and crowds) demonstrates real-time traffic hotspots and city transportation movement patterns, whose...
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Urban Traffic Application: Traffic Volume Prediction
As smart cities and smart buildings develop rapidly, they generate a large number of building sensing data by the equipped sensors. There is no doubt...
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Prediction and Analysis of Mobile Phone Export Volume Based on SVR Model
Electronic products occupy an important position in the export structure of China’s trade, and mobile phone products occupy a place in the export of...
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A novel hybrid model for freight volume prediction based on the Baidu search index and emergency
Accurate freight volume forecasts play a crucial role in supporting regional economies and transportation systems. Nevertheless, the majority of...
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Stock Trading Volume Prediction with Dual-Process Meta-Learning
Volume prediction is one of the fundamental objectives in the Fintech area, which is helpful for many downstream tasks, e.g., algorithmic trading....
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Distributional Correlation–Aware Knowledge Distillation for Stock Trading Volume Prediction
Traditional knowledge distillation in classification problems transfers the knowledge via class correlations in the soft label produced by teacher...
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Raw Anode Volume Density Prediction Algorithm Based on the Genetic Algorithm
In the process of aluminum electrolytic anode production, raw anode volume density is an important indicator of anode quality, which is of great...
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ProVolOne – Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis
Protein structural properties are often determined by experimental techniques such as X-ray crystallography and nuclear magnetic resonance. However,...
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Railway Traffic Volume Prediction Method Based on Hadoop Big Data Platform
In order to improve the accuracy and efficiency of railway traffic volume prediction, a railway traffic volume prediction method based on Hadoop big...
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The short-term prediction of daily traffic volume for rural roads using shallow and deep learning networks: ANN and LSTM
Predicting daily traffic volume in the short term is of great importance for rural roads since it assists in relieving congestion, trip planning, and...
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Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers
For Head and Neck Cancers (HNC) patient management, automatic gross tumor volume (GTV) segmentation and accurate pre-treatment cancer recurrence...
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Prediction Models
Chapter 7 deals with the approximation of internet load prediction using Julia. First, we explain the current state of model development. Classical...
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Market Sentiment Analysis Based on Social Media and Trading Volume for Asset Price Movement Prediction
As more and more netizens participate in financial market transactions, online discussions on asset price movements are becoming more comprehensive...
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Research on Revenue Prediction of Automobile Manufacturing Enterprises
This paper establishes a quarterly revenue prediction model for automotive manufacturing enterprises. The whole model is divided into two parts. In...
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Outcome Prediction
This chapter focuses on how we can best predict the future health of patients, known as prognosis. This encompasses areas such as risk prediction and...
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Traffic volume prediction using intuitionistic fuzzy Grey-Markov model
Traffic congestion is a major problem in the last few decades. Though the Government is taking various measures like installing more traffic signals,...
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Multi-factor stock price prediction based on GAN-TrellisNet
Applying deep learning, especially time series neural networks, to predict stock price, has become one of the important applications in quantitative...
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Deep Learning and Sentiment Analysis-Based Cryptocurrency Price Prediction
The rapid growth of Cryptocurrency dramatically influences the social and economic climate that has developed the trends for investors to seek...
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Lightweight Bi-LSTM method for the prediction of mechanical properties of concrete
Concrete is the predominant material in the construction industry, offering a wide range of mechanical attributes, including impressive compressive...
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Hotspot Prediction Based on Temporal Characteristics
Nowadays, with the expanding population and city size, urban crime rate control will be a very important direction for the integration of artificial...