Search Results - (( modal active learning algorithm ) OR ( java application optimization algorithm ))
Search alternatives:
- application optimization »
- learning algorithm »
- java application »
- active learning »
- modal »
-
1
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013Get full text
Get full text
Conference or Workshop Item -
2
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
Get full text
Get full text
Conference or Workshop Item -
3
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
Get full text
Get full text
Final Year Project -
4
-
5
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
Get full text
Get full text
Article -
6
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…First, data fusion methods and modalities were presented and also feature fusion, including deep learning fusion for human activity recognition were critically analysed, and their applications, strengths and issues were identified. …”
Get full text
Get full text
Article -
7
Ant colony optimization algorithm for load balancing in grid computing
Published 2012Get full text
Get full text
Get full text
Monograph -
8
Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
Published 2019“…However, analysis of mobile and wearable sensor data for human activity detection is still very challenging. This is further worsen by the use of single sensors modality and machine learning algorithms. …”
Get full text
Get full text
Get full text
Thesis -
9
-
10
Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
Get full text
Get full text
Thesis -
11
-
12
Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
Get full text
Get full text
Thesis -
13
Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
Get full text
Get full text
Get full text
Thesis -
14
Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
Get full text
Get full text
Get full text
Thesis -
15
-
16
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
17
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
Get full text
Get full text
Thesis -
18
Cardiotocogram Data Classification using Random Forest based Machine Learning Algorithm
Published 2020Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
Dynamics and control of underactuated systems with applications in robotics / Ahmad Azlan Mat Isa … [et al.]
Published 2011“…If all underactuated systems in a class can be transformed into a specific class of nonlinear systems, we refer to Artificial Neural Network (ANN) systems as the "normal form" of the corresponding class of underactuated systems. An adaptive learning algorithm using an artificial neural network ANN has been utilized to predict the passive joint position of underactuated robot manipulator. …”
Get full text
Get full text
Research Reports -
20
Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis
