بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element finding » filament winding (توسيع البحث)
level modeling » event modeling (توسيع البحث)
models using » model using (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
element finding » filament winding (توسيع البحث)
level modeling » event modeling (توسيع البحث)
models using » model using (توسيع البحث)
-
1
-
2
Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study
منشور في 2022"…Maximum Absolute Difference (MAD), a new metric, that calculates the maximum absolute difference between simulated and measured hourly indoor temperatures, Root Mean Square Error (RMSE), Normalized Mean Bias Error (NMBE) were used as the evaluation criteria. Another new metric is introduced, 1 ◦C Percentage Error criterion that calculates the percentage of the number of hours with an error over 1 ◦C during the cali bration period, to select the best solutions from the Pareto Front solutions. 0.5 ◦C Percentage Error criterion is also used for the level of accuracy the model can achieve. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
-
3
-
4
-
5
Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation
منشور في 2017"…The structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed. …"
احصل على النص الكامل
article -
6
Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
منشور في 2023"…The developed model is then used to conduct a sensitivity analysis considering five factors that influence the shear behavior of BFRC-BFRP one-way slabs. …"
-
7
Automating UML Models Refactoring using Search-Based Algorithms
منشور في 2020احصل على النص الكامل
masterThesis -
8
Using genetic algorithms to optimize software quality estimation models
منشور في 2004"…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
9
-
10
Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
منشور في 2011احصل على النص الكامل
doctoralThesis -
11
Quality estimation models optimization using genetic algorithms: Case of maintainability
منشور في 1999احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
12
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…</p><h3>Research Design & Methods</h3><p dir="ltr">The study aimed to investigate performance of AI models in estimating BGL among diabetic patients using non-invasive wearable devices data An open-source dataset was used which provided BGL readings, diabetic status (Diabetic or non-diabetic), heart rate, Blood oxygen level (SPO2), Diastolic Blood pressure, Systolic Blood Pressure, Body temperature, Sweating, and Shivering for 13 participants by age group taken from WDs. …"
-
13
A Framework for Predictive Modeling in Sustainable Projects
منشور في 2012احصل على النص الكامل
doctoralThesis -
14
-
15
Improvement Algorithm for Limited Space Scheduling
منشور في 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. …"
احصل على النص الكامل
احصل على النص الكامل
article -
16
-
17
-
18
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
احصل على النص الكامل
article -
19
Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms
منشور في 2022"…Therefore, in this study we examined this market based on the price index of the automotive group, then optimized a portfolio of automotive companies using two methods. In the first method, the CVaR measurement was modeled by means of DEA, then Particle Swarm Optimization (PSO) and the Imperial Competitive Algorithm (ICA) were used to solve the proposed model. …"
-
20