Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
key modeling » _ modeling (Expand Search)
element » elements (Expand Search)
update » updated (Expand Search)
fluent » effluent (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
key modeling » _ modeling (Expand Search)
element » elements (Expand Search)
update » updated (Expand Search)
fluent » effluent (Expand Search)
-
1
-
2
Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
Published 2023“…This work employs machine learning methods to develop and test a technique for dynamic stability analysis of the mathematical model of a power system. A distinctive feature of the proposed method is the absence of a priori parameters of the power system model. …”
Get full text
article -
3
-
4
Performance Prediction Using Classification
Published 2019“…A comprehensive evaluation requires that multiple models with different algorithms were analyzed using key performance measures. …”
Get full text
-
5
Prediction of EV Charging Behavior Using Machine Learning
Published 2021“…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
Get full text
article -
6
-
7
Improvement Algorithm for Limited Space Scheduling
Published 2001“…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …”
Get full text
Get full text
article -
8
Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices
Published 2025“…This study aims to classify the highest 50 global smart cities based on key livability and technology indices, using advanced <u>machine learning</u> (ML) models to assess city performance comprehensively. …”
-
9
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002Get full text
Get full text
article -
10
-
11
-
12
Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms
Published 2022“…<p dir="ltr">Pressure gradient (PG) in liquid-liquid flow is one of the key components to design an energy-efficient transportation system for wellbores. …”
-
13
Hardware Model of an Expandable RSA Cryptographic System
Published 1998“…To cope with the continuous demand for larger key sizes, faster hardware implementations of the RSA algorithm has become an active area of research. …”
Get full text
Get full text
Get full text
masterThesis -
14
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
Published 2024“…The proposed model was developed and implemented using MATLAB software. …”
-
15
A Hardware Model of an Expandable RSA Cryptogrsphic System
Published 1998“…To cope with the continuous demand for larger key sizes, faster hardware implementations of the RSA algorithm has become an active area of research. …”
Get full text
masterThesis -
16
A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand
Published 2023“…Although the scenario analysis is supported by simulation models, they further require the optimization models to yield optimal key parameter values. …”
-
17
High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm
Published 2025“…<p dir="ltr">Development and modeling of proton exchange membrane fuel cells (PEMFCs) need accurate identification of unknown factors affecting mathematical models. …”
-
18
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
Published 2022Get full text
doctoralThesis -
19
Artificial intelligence models for predicting the mode of delivery in maternal care
Published 2025“…A comprehensive feature importance analysis was conducted on the trained models to identify the key predictors influencing the mode of delivery classification. …”
-
20
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
Published 2024“…The key benefit of the proposed technique is the utilization of an accurate and real-time estimated dynamic model, which facilitates a reliable states prediction by the IMPC. …”