Search Results - (( intelligence based from algorithm ) OR ( intelligence ((based acs) OR (based cp)) algorithm ))
Search alternatives:
- intelligence based »
- from algorithm »
- based from »
- based acs »
- based cp »
-
1
Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The algorithms are ACS(GA), ACS+GA, ACS(TS), and ACS+TS. …”
Get full text
Get full text
Get full text
Thesis -
2
Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network
Published 2020“…A total of 6 datasets were deployed to evaluate the effectiveness of the proposed algorithm. Results showed that EACS(TS) outperformed in terms of success rate, packet loss, latency, and energy efficiency when compared with single swarm intelligence routing algorithms which are Energy-Efficient Ant-Based Routing (EEABR), BeeSensor and Termite-hill. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024“…This study proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”
Article -
4
Development of hybrid artificial intelligent based handover decision algorithm
Published 2017“…The performance of the newly developed k � step ahead ANN based RSS prediction algorithm was evaluated using simulated and real data acquired from available mobile communication networks. …”
Get full text
Get full text
Get full text
Get full text
Article -
5
Analysis of Delay Performance on the Intelligent Fuzzy Logic Dynamic Bandwidth Allocation Algorithm
Published 2023“…In this paper, we study the delay performance of an intelligent fuzzy logic based dynamic bandwidth allocation (IFLDBA) algorithm for EPON. …”
Article -
6
A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
Published 2012Get full text
Working Paper -
7
Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…The simulation results are validated by actual data sets observed from 1971 until 2013. The results confirm the higher accuracy and reliability of the proposed method as compared with other artificial intelligence based models. …”
Get full text
Get full text
Get full text
Thesis -
8
-
9
-
10
A comprehensive overview of classical and modern route planning algorithms for self-driving mobile robots
Published 2022“…Classical or traditional methods, such as Roadmaps (Visibility Graph and Voronoi Diagram), Potential Fields, and Cell Decomposition, and modern methodologies such as heuristic-based (Dijkstra Method, A* Algorithms, and D* Algorithms), metaheuristics algorithms (such as PSO, Bat Algorithm, ACO, and Genetic Algorithm), and neural systems such as fuzzy neural networks or fuzzy logic (FL) and Artificial Neural Networks (ANN) are described in this report. …”
Get full text
Get full text
Get full text
Article -
11
-
12
-
13
-
14
INTELLIGENT OPTIMIZATION OF INTERLINE POWER FLOW CONTROLLER IN TRANSMISSION SYSTEM
Published 2010“…The optimal parameters are derived to minimize the transmission line losses using three intelligent optimization techniques, namely Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Simulated Annealing (SA). …”
Get full text
Get full text
Thesis -
15
-
16
-
17
Implementation of real-time simple edge detection on FPGA
Published 2007Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Stress Classification using Deep Learning with 1D Convolutional Neural Networks
Published 2021“…The algorithm performance is evaluated based on accuracy and loss matrices. …”
Get full text
Get full text
Get full text
Get full text
Article -
19
Development of Image-Based Emotion Recognition using Convolutional Neural Networks
Published 2021“…One of the prominent applications is detecting emotion from an image, which can help an intelligent automatic response system respond appropriately based on the user’s emotion. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
20
