Search Results - (( set detection device algorithm ) OR ( java simulation optimization algorithm ))
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1
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Article -
2
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Thesis -
3
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Monograph -
4
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
Review -
5
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Thesis -
6
Application of Simon encryption algorithm for data transmission between sensor nodes in IoT environment
Published 2024“…With the increasing number of IoT devices in homes, businesses, and industrial settings, the potential for cyber-attacks targeting these devices has also increased. …”
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Proceeding Paper -
7
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. …”
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Thesis -
8
Crytojacking Classification based on Machine Learning Algorithm
Published 2024journal::journal article -
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Development of a smart edge device for fire detection
Published 2023“…The system is based on an object detection model for fire detection using the Improved YOLOv5s algorithm, which integrates BiFPN and an additional prediction layer for detecting small targets of fire. …”
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Final Year Project / Dissertation / Thesis -
10
Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Monograph -
11
E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…Due to the increased usage of the Internet of Things and heterogeneous distributed devices, the development of effective and reliable intrusion detection systems (IDS) has become more critical. …”
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Article -
12
Neural network classifier for hand motion detection from EMG signal
Published 2011“…Furthermore, when the trained network tested on unknown data set, it successfully identify the movement types.…”
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Book Chapter -
13
Sensor module for urban vehicle two way connection monitoring system/ Muhammad Ilyasaa Abdul Rahman
Published 2015“…The project framework is divided into 2 main parts: living thing and impact detection. The sensing module will be interfaced with a microcontroller platform programmed with a set of algorithm. …”
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Student Project -
14
Embedded fuzzy classifier for detection and classification of preseizure state using real EEG data
Published 2014“…Therefore, the work presented here includes embedded hardware system that works with classification algorithm on real EEG signals, in a ubiquitous setting. …”
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Conference or Workshop Item -
15
Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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Thesis -
16
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…Wearable devices, smart-phones and ambient environments devices are equipped with variety of sensors such as accelerometers, gyroscopes, magnetometer, heart rate, pressure and wearable camera for activity detection and monitoring. …”
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Article -
17
A deep Learning Approach to Malware detection in android platform
Published 2018“…The chosen approach will learn and train itself by using the features that are needed for malware detection using a large data sets for evaluating the trained algorithm. …”
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Final Year Project Report / IMRAD -
18
Embedded Fuzzy Classifier for Detection and Classification of Preseizure state using Real EEG data
Published 2014“…Therefore, the work presented here includes embedded hardware system that works with classification algorithm on real EEG signals, in a ubiquitous setting. …”
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Book Section -
19
ARDUINO-BASED FALL DETECTION AND ALERT SYSTEM
Published 2017“…Accelerometer and gyro sensor is used to tell the Arduino any changes in the elder’s activity that exceeds the threshold that has been set. This project developed a robust algorithm with a sensitive and an accurate result for fall detection device by more than 90%.…”
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Final Year Project -
20
MENGKAJI TAHAP KESEDARAN METAKOGNISI PELAJAR TAHUN SATU SAINS KOGNITIF DI UNIMAS
Published 2018“…The chosen approach will learn and train itself by using the features that are needed for malware detection using a large data sets for evaluating the trained algorithm. …”
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Final Year Project Report / IMRAD
