Search Results - (( parallel evaluation path algorithm ) OR ( variable interactive learning algorithm ))
Search alternatives:
- interactive learning »
- learning algorithm »
- evaluation path »
- path algorithm »
- variable »
-
1
Quantitative and qualitative analysis of unmanned aerial vehicle's path planning using master-slave parallel vector-evaluated genetic algorithm
Published 2012Get full text
Citation Index Journal -
2
-
3
-
4
An evaluation of parallel genetic algorithm for solving shortest path routing problem
Published 2023text::Thesis -
5
Minimizing machining airtime motion with an ant colony algorithm
Published 2016Get full text
Get full text
Article -
6
A test case generation framework based on UML statechart diagram
Published 2018“…Current studies also hardly address loops and parallel paths issues, and achieved low coverage criteria. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
7
A hybrid rate control mechanism for forwarding and congestion control in named data network
Published 2020“…Named Data Networking (NDN) is an emerging Internet architecture that employs a pull-based, in-path caching, hop-by-hop, and multi-path transport architecture. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
8
-
9
Revolutionizing video analytics: a review of action recognition using 3D
Published 2024“…It also addresses the practicalities of implementing action recognition algorithms in real-world situations, which include tools like deep learning frameworks, pre-trained models, open-source libraries, cloud services, GPU acceleration, and evaluation metrics. …”
Get full text
Get full text
Article -
10
Neural Network Multi Layer Perceptron Modeling For Surface Quality Prediction in Laser Machining
Published 2009“…One such method is machine learning, which involves using a computer algorithm to capture hidden knowledge from data. …”
Get full text
Get full text
Book Chapter -
11
Short-term electricity price forecasting in deregulated electricity market based on enhanced artificial intelligence techniques / Alireza Pourdaryaei
Published 2020“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through the use of Backtracking Search Algorithm (BSA) as an efficient optimization algorithm in learning process of ANFIS approach. …”
Get full text
Get full text
Get full text
Thesis -
12
-
13
Genetic ensemble biased ARTMAP method of ECG-Based emotion classification
Published 2012Get full text
Get full text
Conference or Workshop Item -
14
Support vector machine in precision agriculture: a review
Published 2021“…The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which may be used for acquiring solutions towards better crop management. …”
Get full text
Get full text
Article -
15
Predicting sea levels using ML algorithms in selected locations along coastal Malaysia
Published 2024“…In consideration of the distinct behavior of machine learning (ML) algorithms, six well-defined ML used were carried out in this study for predicting sea level on a day-to-day basis. …”
Article -
16
Predicting sea levels using ML algorithms in selected locations along coastal Malaysia
Published 2025“…In consideration of the distinct behavior of machine learning (ML) algorithms, six well-defined ML used were carried out in this study for predicting sea level on a day-to-day basis. …”
text::Article -
17
Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
Get full text
Get full text
Thesis -
18
The Effects Of Segmenting And Computational Thinking In Digital Video Courseware On Knowledge Achievement, Self-Efficacy And Motivation Among Students With Different Thinking Style...
Published 2023“…The researcher found significant main and interaction effects of the learner-paced predefined segment on all dependent variables. …”
Get full text
Get full text
Thesis -
19
Analysis of daytime and nighttime ground level ozone concentrations using boosted regression tree technique
Published 2017“…Sensitivity testing of the BRT model was conducted to determine the best parameters and good explanatory variables. Using the number of trees between 2,500-3,500, learning rate of 0.01, and interaction depth of 5 were found to be the best setting for developing the ozone boosting model. …”
Get full text
Get full text
Get full text
Article -
20
DC-based PV-powered home energy system
Published 2017“…A controller based on an algorithm of one time maximum power point (MPP) is proposed to mitigate those losses. …”
Get full text
Get full text
Thesis
