Search Results - (( _ application drops algorithm ) OR ( its applications ((a algorithm) OR (based algorithm)) ))*
Search alternatives:
- application drops »
- its applications »
- a algorithm »
-
1
Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…In addition, with regard to the second algorithm SNBR, the results show that SNBR overcomes the NCPR algorithm terms of normalize routing overhead by 58.80% as its due to its dropping factor. …”
Get full text
Get full text
Get full text
Thesis -
2
-
3
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…However, the HKA algorithm has its own flaws. Although it was introduced as a population-based stochastic optimization algorithm, HKA is not exactly a population-based algorithm because it initializes and updates only a single solution. …”
Get full text
Get full text
Thesis -
4
-
5
Quality of service management algorithms in WiMAX networks
Published 2015“…Because it is a wireless technology, in which resources are limited such as bandwidth and power; how to manage these resources while maintaining QoS to diverse applications become a critical issue. …”
Get full text
Get full text
Thesis -
6
-
7
Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment
Published 2011“…A Home Application Server (HAS) was configured for proof of concept. …”
Get full text
Get full text
Thesis -
8
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
9
Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…However, the efficiency of the clouds drops as the size of the search space gets larger, like in the case of most metaheuristic optimisation algorithms. …”
Get full text
Get full text
Thesis -
10
QoS evaluation of different TCPs congestion control algorithm using NS2
Published 2006Get full text
Get full text
Get full text
Proceeding Paper -
11
-
12
-
13
Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site
Published 2025“…Implementing deep learning-based object detection algorithms can facilitate the enforcement of hardhat-wearing compliance, thereby reducing work-related injuries and fatalities. …”
Get full text
Get full text
Thesis -
14
Markov-modulated bernoulli-based performance analysis for gentle BLUE and BLUE algorithms under bursty and correlated traffic
Published 2024journal::journal article -
15
Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field
Published 2018“…Blind Source Separation (BSS) refers to the statistical technique of separating a mixture of underlying source signals.BSS denotes as a phenomena and separation on mixed heart-lung sound is one of its example.The challenge of this research is to separate the separate lung sound and heart sound from mixed heart-lung sound.A clear lung sound for diagnosis purpose able to be obtained after separating the mixed heart-lung sound.In biomedical field,lung information is precious due to it has been provided for respiratory diagnosis.However,the interference of heart sound towards lung sound will generate ambiguity and it will lead to drop down the accuracy of diagnosis.Thus,a clean lung sound is needed to increases the accuracy of diagnosis.One of the ways for non-invasive respiratory diagnosis for obtaining lung information is through extracting lung sound from mixed heart-lung sound by using Two-Dimensional Nonnegative Matrix Factorization (NMF2D) algorithm.This method is based on cocktail party effect in which it refers to human brain able to selectively listen to target among a cacophony of conversations and background noise and this considered as a difficult task to machine.Therefore, duplication on cocktail party effect into machine is used to separate the mixed heart-lung sound.This research presents a novel approach NMF2D algorithm in which a suitable model for signal mixture that accommodated the reverberations and nonlinearity of the signals.The objectives of this research are focusing on investigating the useful signal analysis algorithms,defining a new technique of signal separability,designing and developing novel methods for BSS. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
16
Fractal coding of bio-metric image for face authentication
Published 2021“…This thesis implements the algorithms for the Methods of CPM, BPBM fractal coding, and its application. …”
Get full text
Get full text
Thesis -
17
IMPLEMENTATION OF GRAPH BASED PATH PLANNING ALGORITHMS FOR INDOOR NAVIGATION
Published 2018“…Thus, the A* algorithm is implemented in a small mobile robot, this is to see its effectiveness in real world application. …”
Get full text
Get full text
Final Year Project -
18
Comprehensive review of the development of the harmony search algorithm and its applications
Published 2019“…This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm and its applications. …”
Get full text
Get full text
Get full text
Article -
19
Development of predictive modeling and deep learning classification of taxi trip tolls
Published 2022“…Using a classification algorithm, it is possible to extract drop-off and pickup locations from taxi trip data and estimate if the tour would incur tolls. …”
Get full text
Get full text
Get full text
Article -
20