A
-
Access pattern protection
A Method for Protecting Access Pattern in Outsourced Data [Volume 8, Issue 1, 2019, Pages 2-13]
-
Add-on reality
A Mobile and Fog-based Computing Method to Execute Smart Device Applications in a Secure Environment [Volume 8, Issue 1, 2019, Pages 43-57]
-
Average localization error
A multi-hop PSO based localization algorithm for wireless sensor networks [Volume 8, Issue 1, 2019, Pages 58-69]
B
-
Bat algorithm
An Energy Efficient Clustering Method using Bat Algorithm and Mobile Sink in Wireless Sensor Networks [Volume 8, Issue 2, 2019, Pages 102-115]
C
-
Classification
Improving the Performance of Machine Learning Algorithms for Heart Disease Diagnosis by Optimizing Data and Features [Volume 8, Issue 1, 2019, Pages 70-85]
-
Cloud
A Mobile and Fog-based Computing Method to Execute Smart Device Applications in a Secure Environment [Volume 8, Issue 1, 2019, Pages 43-57]
-
Cloud Computing
An Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment [Volume 8, Issue 2, 2019, Pages 80-101]
-
Cloud Federation
An Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment [Volume 8, Issue 2, 2019, Pages 80-101]
-
Clustering
Introducing a new meta-heuristic algorithm based on See-See Partridge Chicks Optimization to solve dynamic optimization problems [Volume 8, Issue 2, 2019, Pages 38-65]
-
Combinatorial testing
Using the Particle Swarm Optimization Algorithm to Generate the Minimum Test Suite in Covering Array with Uniform Strength [Volume 8, Issue 2, 2019, Pages 66-79]
-
Covering array
Using the Particle Swarm Optimization Algorithm to Generate the Minimum Test Suite in Covering Array with Uniform Strength [Volume 8, Issue 2, 2019, Pages 66-79]
-
CUDA
An approach to Improve Particle Swarm Optimization Algorithm Using CUDA [Volume 8, Issue 2, 2019, Pages 2-21]
D
-
Database security
A Method for Protecting Access Pattern in Outsourced Data [Volume 8, Issue 1, 2019, Pages 2-13]
-
Data confidentiality
A Method for Protecting Access Pattern in Outsourced Data [Volume 8, Issue 1, 2019, Pages 2-13]
-
Data outsourcing
A Method for Protecting Access Pattern in Outsourced Data [Volume 8, Issue 1, 2019, Pages 2-13]
-
Data storage
Improvement of the Analytical Queries Response Time in Real-Time Data Warehouse using Materialized Views Concatenation [Volume 8, Issue 2, 2019, Pages 22-37]
-
Density Estimation Memory
Introducing a new meta-heuristic algorithm based on See-See Partridge Chicks Optimization to solve dynamic optimization problems [Volume 8, Issue 2, 2019, Pages 38-65]
-
Dynamic Optimization
Introducing a new meta-heuristic algorithm based on See-See Partridge Chicks Optimization to solve dynamic optimization problems [Volume 8, Issue 2, 2019, Pages 38-65]
E
-
Energy consumption
An Energy Efficient Clustering Method using Bat Algorithm and Mobile Sink in Wireless Sensor Networks [Volume 8, Issue 2, 2019, Pages 102-115]
-
Evolutionary algorithm
Optimal Reconfiguration of Distribution Network for Power Loss Reduction and Reliability Improvement Using Bat Algorithm [Volume 8, Issue 1, 2019, Pages 29-42]
F
-
Fermi
An approach to Improve Particle Swarm Optimization Algorithm Using CUDA [Volume 8, Issue 2, 2019, Pages 2-21]
-
Firefly algorithm
A Hybrid Algorithm using Firefly, Genetic, and Local Search Algorithms [Volume 8, Issue 1, 2019, Pages 14-28]
-
Fuzzy Selector
An Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment [Volume 8, Issue 2, 2019, Pages 80-101]
G
-
Genetics algorithm
A Hybrid Algorithm using Firefly, Genetic, and Local Search Algorithms [Volume 8, Issue 1, 2019, Pages 14-28]
-
GPU Computing
An approach to Improve Particle Swarm Optimization Algorithm Using CUDA [Volume 8, Issue 2, 2019, Pages 2-21]
H
-
Healthcare Data
An Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment [Volume 8, Issue 2, 2019, Pages 80-101]
-
Heart disease prediction
Improving the Performance of Machine Learning Algorithms for Heart Disease Diagnosis by Optimizing Data and Features [Volume 8, Issue 1, 2019, Pages 70-85]
-
HPC
An approach to Improve Particle Swarm Optimization Algorithm Using CUDA [Volume 8, Issue 2, 2019, Pages 2-21]
-
Hybrid algorithm
A Hybrid Algorithm using Firefly, Genetic, and Local Search Algorithms [Volume 8, Issue 1, 2019, Pages 14-28]
I
-
IEEE 802.15.4 protocol
An Energy Efficient Clustering Method using Bat Algorithm and Mobile Sink in Wireless Sensor Networks [Volume 8, Issue 2, 2019, Pages 102-115]
-
Information disclosure prevention
A Method for Protecting Access Pattern in Outsourced Data [Volume 8, Issue 1, 2019, Pages 2-13]
-
Internet of things
A Mobile and Fog-based Computing Method to Execute Smart Device Applications in a Secure Environment [Volume 8, Issue 1, 2019, Pages 43-57]
L
-
Lateration
A multi-hop PSO based localization algorithm for wireless sensor networks [Volume 8, Issue 1, 2019, Pages 58-69]
-
Local Search
A Hybrid Algorithm using Firefly, Genetic, and Local Search Algorithms [Volume 8, Issue 1, 2019, Pages 14-28]
M
-
Machine Learning Algorithms
Improving the Performance of Machine Learning Algorithms for Heart Disease Diagnosis by Optimizing Data and Features [Volume 8, Issue 1, 2019, Pages 70-85]
-
Materialized view
Improvement of the Analytical Queries Response Time in Real-Time Data Warehouse using Materialized Views Concatenation [Volume 8, Issue 2, 2019, Pages 22-37]
-
Mobile sink
An Energy Efficient Clustering Method using Bat Algorithm and Mobile Sink in Wireless Sensor Networks [Volume 8, Issue 2, 2019, Pages 102-115]
-
Moving-Peak-Benchmark
Introducing a new meta-heuristic algorithm based on See-See Partridge Chicks Optimization to solve dynamic optimization problems [Volume 8, Issue 2, 2019, Pages 38-65]
-
Moving Peaks Benchmark
Introducing a new meta-heuristic algorithm based on See-See Partridge Chicks Optimization to solve dynamic optimization problems [Volume 8, Issue 2, 2019, Pages 38-65]
-
Multi-hop localization
A multi-hop PSO based localization algorithm for wireless sensor networks [Volume 8, Issue 1, 2019, Pages 58-69]
N
-
Neural Networks
Improving the Performance of Machine Learning Algorithms for Heart Disease Diagnosis by Optimizing Data and Features [Volume 8, Issue 1, 2019, Pages 70-85]
O
-
Offline Error
Introducing a new meta-heuristic algorithm based on See-See Partridge Chicks Optimization to solve dynamic optimization problems [Volume 8, Issue 2, 2019, Pages 38-65]
-
Online Analytical processing
Improvement of the Analytical Queries Response Time in Real-Time Data Warehouse using Materialized Views Concatenation [Volume 8, Issue 2, 2019, Pages 22-37]
P
-
Parallel Algorithm
An approach to Improve Particle Swarm Optimization Algorithm Using CUDA [Volume 8, Issue 2, 2019, Pages 2-21]
-
Particle Swarm Optimization
A multi-hop PSO based localization algorithm for wireless sensor networks [Volume 8, Issue 1, 2019, Pages 58-69]
-
Partitioning
Improvement of the Analytical Queries Response Time in Real-Time Data Warehouse using Materialized Views Concatenation [Volume 8, Issue 2, 2019, Pages 22-37]
-
Power loss
Optimal Reconfiguration of Distribution Network for Power Loss Reduction and Reliability Improvement Using Bat Algorithm [Volume 8, Issue 1, 2019, Pages 29-42]
-
PSO
An approach to Improve Particle Swarm Optimization Algorithm Using CUDA [Volume 8, Issue 2, 2019, Pages 2-21]
-
PSO
Using the Particle Swarm Optimization Algorithm to Generate the Minimum Test Suite in Covering Array with Uniform Strength [Volume 8, Issue 2, 2019, Pages 66-79]
Q
-
Quality of service
An Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment [Volume 8, Issue 2, 2019, Pages 80-101]
R
-
Real-time
A Mobile and Fog-based Computing Method to Execute Smart Device Applications in a Secure Environment [Volume 8, Issue 1, 2019, Pages 43-57]
-
Real-time data warehouse
Improvement of the Analytical Queries Response Time in Real-Time Data Warehouse using Materialized Views Concatenation [Volume 8, Issue 2, 2019, Pages 22-37]
-
Reconfiguration of distribution network
Optimal Reconfiguration of Distribution Network for Power Loss Reduction and Reliability Improvement Using Bat Algorithm [Volume 8, Issue 1, 2019, Pages 29-42]
-
Reliability
Optimal Reconfiguration of Distribution Network for Power Loss Reduction and Reliability Improvement Using Bat Algorithm [Volume 8, Issue 1, 2019, Pages 29-42]
-
Resource Allocation
An Efficient Resource Allocation for Processing Healthcare Data in the Cloud Computing Environment [Volume 8, Issue 2, 2019, Pages 80-101]
S
-
Smart devices
A Mobile and Fog-based Computing Method to Execute Smart Device Applications in a Secure Environment [Volume 8, Issue 1, 2019, Pages 43-57]
-
SSPCO algorithm
Introducing a new meta-heuristic algorithm based on See-See Partridge Chicks Optimization to solve dynamic optimization problems [Volume 8, Issue 2, 2019, Pages 38-65]
T
-
Test suit generation
Using the Particle Swarm Optimization Algorithm to Generate the Minimum Test Suite in Covering Array with Uniform Strength [Volume 8, Issue 2, 2019, Pages 66-79]
U
-
Uncertainty
Optimal Reconfiguration of Distribution Network for Power Loss Reduction and Reliability Improvement Using Bat Algorithm [Volume 8, Issue 1, 2019, Pages 29-42]
V
-
Virtual Mobile Fog Computing
A Mobile and Fog-based Computing Method to Execute Smart Device Applications in a Secure Environment [Volume 8, Issue 1, 2019, Pages 43-57]
W
-
Wireless sensor network
An Energy Efficient Clustering Method using Bat Algorithm and Mobile Sink in Wireless Sensor Networks [Volume 8, Issue 2, 2019, Pages 102-115]
-
Wireless sensor networks
A multi-hop PSO based localization algorithm for wireless sensor networks [Volume 8, Issue 1, 2019, Pages 58-69]
Your query does not match with any item