Search
Search Results
-
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...
-
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...
-
DA-RNN-Based Bus Arrival Time Prediction Model
Accurate prediction of bus arrival time is crucial for constructing smart cities and intelligent transportation systems. Objectivity and clarity must...
-
Iterative Trajectory Prediction Model Based on Interactive Agent
Though many methods attempt to model how agents interact with each other and their environment, they often fail to capture the dynamic nuances of...
-
Data-based Vehicle Trajectory Prediction Model for Lane-change Maneuver
Several advanced driver assistance systems (ADASs) control a vehicle in the longitudinal direction. However, an ADAS that controls the vehicle in the...
-
Stock closing price prediction based on ICEEMDAN-FA-BiLSTM–GM combined model
The accuracy of stock price forecasting is of great significance in investment decision-making and risk management. However, the complexity and...
-
Data-Driven Fault Prediction Model and Methods
In recent years, intelligent algorithms have received attention. Facing the uncertainty and dynamics of equipment failure and maintenance needs in...
-
Force-Temperature Coupled Prediction Model
According to the influence of minimum quantity lubrication (MQL) on the friction characteristics in cutting process, the effect of MQL on the cutting...
-
Carbon Credits Price Prediction Model (CCPPM)
The valuation of carbon credits is a multifaceted task and is influenced by a wide range of factors encompassing economic activity, energy prices,...
-
A systematic framework of constructing surrogate model for slider track peeling strength prediction
Peeling strength can comprehensively reflect slider track safety and is crucial in car seat safety assessments. Current methods for determining...
-
A new method of network traffic prediction based on combination model
Network traffic has time-varying and nonlinear characteristics, leading to relatively low accuracy of single linear and nonlinear prediction models....
-
Hybrid Prediction Model of Engineering Classification of Slope Rock Mass Based on DCWA-EO-AdaBoost Model and BQ Method
Swift and precise classification of rock masses significantly enhances the prudent and efficient advancement of rock mass engineering. To...
-
Efficient Interaction-Aware Trajectory Prediction Model Based on Multi-head Attention
Predicting vehicle trajectories using deep learning has seen substantial progress in recent years. However, making autonomous vehicles pay attention...
-
GAN-Enhanced Nonlinear Fusion Model for Stock Price Prediction
Stock price prediction is a significant field of finance research for both academics and practitioners. Numerous studies have proved that the stock...
-
Linear Prediction Model Using Credibility Approach
The paper proposes a linear prediction model based on a credibility approach, which is a strategy for addressing the issue of uncertainty in linear...
-
Enhanced Online Strip Crown Prediction Model Based on KCGAN-ELM for Imbalanced Dataset
The strip crown directly affects the quality of strip steel. To enhance online crown control and product quality, an accurate and efficient strip...
-
Explainable Artificial Intelligence (EAI) Based Disease Prediction Model
Early disease prediction is a critical area of focus in healthcare. Identifying diseases at an early stage can increase the chances of successful...
-
Integrated Dual LSTM Model-Based Air Quality Prediction
Although air quality prediction is a crucial tool for weather forecasting and air quality management, algorithms for making predictions that are...
-
Stock Price Prediction Based on FinBERT-LSTM Model
This study constructs a FinBERT-LSTM model to improve the accuracy of stock price prediction in the Chinese financial market. The FinBERT model, a...
-
Hybrid physics data-driven model-based fusion framework for machining tool wear prediction
Accurate tool wear prediction is of great significance to improve production efficiency, ensure product quality and reduce machining cost. This paper...
