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Gas concentration prediction based on ED-SLSTM model under the framework of Trend Prediction-Time Point Prediction
In order to solve the problems of low prediction accuracy and inability to achieve long-term prediction in traditional coal mine gas concentration...
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Type-3 Fuzzy Logic in Time Series Prediction
This book focuses on the field of type-3 fuzzy logic for applications in time series prediction. The main idea is that a higher type and order of...
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Lifetime Prediction
Useful lifetime corresponds to the end of the service life of a product or material, and its “exact” prediction, for a specific geographic location,...
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General Prediction Models
This chapter provides a general overview of prediction models. We present three different categorizations commonly used to organize the various...
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Reliability Modeling and Prediction
The task of satellite reliability modeling is to model the system behavior (fault logic) under various mission conditions (mission profile changes,...
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Wind speed point prediction and interval prediction method based on linear prediction model, neural network, and deep learning
With the development of the times, wind energy has increasingly become crucial energy, which has attracted the attention of researchers. To maximize...
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Feasibility Prediction Theory
This chapter explains the Feasibility Prediction Theory (FPT) and how to use it. The theory determines the overall optimal feasibility of a system...
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Intelligent Prediction of Cardiac Abnormality
Cardiac abnormalities are very common in today’s world. Efficient and early prediction will help in saving the life of several individuals. ECG is a...
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Geospatial Project: Landslide Prediction
This literature review examines the use of machine learning (ML) algorithms for landslide identification and provides an overview of recent studies...
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Heterogeneous Defect Prediction
Cross-company defect prediction (CCDP) learns a prediction model by using training data from one or multiple projects of a source company and then...
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Rainfall Prediction Using Fuzzy Systems
Rainfall prediction is important because it is an influential meteorological parameter that can directly affect human life. Heavy or unpredicted...
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Higher-Order Temporal Network Prediction
A social interaction (so-called higher-order event/interaction) can be regarded as the activation of the hyperlink among the corresponding...
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Stock Market Prediction Using LSTM
AI and machine learning, powered by data and computational prowess, present a promising path for stock price prediction in the quickly changing...
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Evolution of Feasibility Prediction Theory
In this chapter, the background and the evolution process of the Feasibility Prediction Theory (FPT) that plays the leading role in this book is...
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Pot Failure Prediction in EGA
EGA is working to improve the accuracy of process control and process prediction through the adoption of 4.0 technologies. There are 2843 pots across...
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Prediction Methods and Tools in Research: A Review
AbstractMethods and tools of prediction used in recent scientific research are reviewed. General trends are noted, and those approaches that are most...
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Churn Prediction Model Using EDA
When a customer switches from one telecom service provider to another, it reduces the company's earnings, which makes customer churn a problem for...
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Within-Project Defect Prediction
In order to improve the quality of a software system, software defect prediction aims to automatically identify defective software modules for...
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New directions in motion-prediction-based systems
Motion prediction has gotten much attention in the past few years. It has endless uses either in real life or in virtual life (gaming). The current...
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Data-Driven RUL Prediction
In this chapter, the data-driven RUL prediction methods for mechanical systems are presented. Since the deep learning algorithm has shown remarkbale...