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Predictive World Models for Social Navigation
As robots begin to coexist with humans, the need for efficient and safe social robot navigation becomes increasingly pressing. In this paper we...
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Predictive Maintenance
Predictive maintenance is one of the important applications of predictive analytics and becoming a popular tool for preventive mechanisms.
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Predictive Maintenance Model for Industrial Equipment
In industries, unforeseen machine failures result in substantial losses due to extended downtime, expensive repairs, and reduced productivity....
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Domain Knowledge Injection Guidance for Predictive Maintenance
With the integration of Industry 4.0 technologies, overall maintenance costs of industrial machines can be reduced by applying predictive...
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Evaluation of model predictive control (MPC) of solar thermal heating system with thermal energy storage for buildings with highly variable occupancy levels
The presence or absence of occupants in a building has a direct effect on its energy use, as it influences the operation of various building energy...
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Nationwide evaluation of energy and indoor air quality predictive control and impact on infection risk for cooling season
Since the coronavirus disease 2019, the extended time indoors makes people more concerned about indoor air quality, while the increased ventilation...
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Retrospective and predictive analysis of human operator performance with event report data of a nuclear reactor
Human Reliability Analysis (HRA) quantifies the likelihood of human operator's erroneous actions towards evaluation of risk emanating from complex...
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Improved model predictive control method for a five-level inverter with coupled inductors
Aiming at the problem that the switching frequency is not fixed and the number of samples is large when using the traditional finite control...
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Autonomous Navigation Algorithm for Underactuated Unmanned Surface Vehicle Based on Model Predictive Control
To achieve the track following and collision avoidance of underactuated unmanned surface vehicle (USV), autonomous navigation model based on model...
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Adaptive Model Predictive Fault-Tolerant Control for Four-Wheel Independent Steering Vehicles with Sensitivity Estimation
This paper presents an adaptive model predictive fault-tolerant control (FTC) algorithm based on sensitivity estimation and exponential...
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Hybrid Predictive Control of Constrained Linear Systems
Model Predictive Control (MPC), also known as receding horizon control(RHC), is a popular control method for handling constraints (both on...
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Predictive Maintenance and Production Analysis in Smart Manufacturing
Predictive maintenance and production analysis are pivotal in smart manufacturing, leveraging advanced technologies such as machine learning, and...
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Comparative Analysis of Financial Datasets Predictive Modeling Using Feature Extraction Methods
In the field of finance, predictive modeling is crucial for analyzing and forecasting financial trends and their effects. The feature extraction...
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Predictive Models Using Regression
After performing descriptive analysis and data preparation, the next step is to build the predictive model. Regression models can be used as a...
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An Evaluation of Core Factors of Predictive Analytics in Influencing Purchase Decision of the Consumers in E-business
Business intelligence and predictive analytics skills is a significant growth driver in e-commerce operations. These capabilities assist to enhance...
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Evaluating Predictive Performance
Analysts use predictive analytics to foresee if a change will help them reduce risks, improve operations, and/or increase revenue. At its heart,...
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Hybrid intelligent predictive maintenance model for multiclass fault classification
Data recorded from monitoring the health condition of industrial equipment are often high-dimensional, nonlinear, nonstationary and characterised by...
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Predictive Classification Framework for Software Demand Using Ensembled Machine Learning
Software demands are the primary set of essential textual description in baseline of software engineering associated with design anticipation of...
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Machine Learning-Based Predictive Modelling of Spot-Welding Process Parameters
This research paper presents a comparative study of machine learning (ML) algorithms for the predictive modelling of spot-welding process parameters....
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Improved Predictive Model of Drivers’ Subjective Perception of Vehicle Reaction under Aerodynamic Excitations
In vehicle development, rating vehicle reactions to external disturbances such as aerodynamic excitations are important for improving safety and...