Search Results - (( processes optimization sensor algorithm ) OR ( processes evaluation method algorithm ))
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1
Delay and energy-aware routing for efficient data collection in wireless sensor networks / Ihsan Ali
Published 2024“…Both Bat Algorithm parameters and AFW parameters are adaptively tuned to balance exploration and exploitation throughout the optimization process. …”
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2
Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
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Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications
Published 2025“…Even though 5G technology has significantly improved connectivity and data transmission rates, the increasing number of IoT devices creates processing challenges. This study focuses on a Fog Optimized Computing System (FOCS) algorithm, which is developed to handle network congestion and processing challenges imposed by the increasing number of IoT devices. …”
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4
Human presence detection system
Published 2024“…Additionally, the development of an automated calculation algorithm streamlines the testing process and enhances data collection efficiency. …”
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Final Year Project / Dissertation / Thesis -
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Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj
Published 2023“…As such, this thesis proposes a hybrid metaheuristic method that consists of Sperm Swarm Optimization (SSO) algorithm and Genetic Algorithm (GA), which is termed HSSOGA. …”
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6
Evaluation of electrical capacitance tomography thresholding techniques for void fraction measurement of gas-liquid system
Published 2014“…The experimental and image processing analysis enables one to determine the optimal threshold method by selecting the threshold algorithm which produces the highest accuracy and consistency in the void fraction measurement as compared to the actual value. …”
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7
Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…The proposed algorithms aim to accelerate the processes of distortion removal and rectification using precomputed combined maps. …”
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8
Incremental interval type-2 fuzzy clustering of data streams using single pass method
Published 2020“…The performance of the proposed method is evaluated on large real-life datasets. The results obtained from several fuzzy cluster validity index measures show the enhanced performance of the proposed method over other clustering algorithms. …”
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9
Mobility-aware Offloading Decision For Multi-access Edge Computing In 5g Networks
Published 2024journal::journal article -
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Power consumption and size minimization of a wireless sensor node in automation system application
Published 2015“…Starting from a MATLAB programming language code, we develop algorithms and node configuration in such a way that the analogue sensor signal, the processing and analysis area accomplished without using microcontroller, but only the XBee RF modules with 1+0.3 mWatt power consumption. …”
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Conference or Workshop Item -
11
Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor
Published 2023“…First objective is to determine the optimal setup for IR-UWB radar sensor data acquisition, considering factors such as sensor placement and configuration. …”
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12
Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor
Published 2024“…Practical algorithms incorporating k-nearest neighbour and decision tree models with quantifiable performance metrics are proposed to streamline and optimise the maintenance process. …”
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13
Modeling and control of a Pico-satellite attitude using Fuzzy Logic Controller
Published 2010“…Genetic Algorithm (GA) is a computational model inspired by evaluation. …”
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14
Kinect-based human gait recognition using locally linear embedded and support vector machine
Published 2018“…Recognition of human gait could be performed effectively provided that significant gait features are well extracted along with effective recognition process. Thus, the gait features should be selected or optimized appropriately for optimal accuracy during recognition. …”
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15
Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…A comprehensive experimental analysis was conducted to evaluate the efficiency and effectiveness of the proposed algorithms (ONF-TRS, CC-TRS). …”
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16
Clarity-optimized wavelet with autoencoder-ReliefF ranking for enhanced UHF PD signal feature extraction
Published 2025“…To address the challenge of identifying the most discriminative features, this work integrates advanced feature ranking algorithms, namely, auto-encoder-based ranking and the ReliefF method. …”
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Defect detection of GFRP composites through long pulse thermography using an uncooled microbolometer infrared camera
Published 2024“…The Tanimoto Criterion (TC) was used to evaluate the accuracy of LPT both for raw images and post-processed images. …”
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Pothole detection using multispectral sensor and unmanned aerial vehicle imagery / Muhammad Hafiz Aizuddin Mohd Zaidi
Published 2024“…The study has three objectives: to evaluate the accuracy of 3D pothole estimations from UAV images compared to actual pothole data, to investigate the impact of multispectral band combinations on pothole edge detection, and to assess different algorithms for pothole area extraction using multispectral and visible images. …”
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19
Wavelet based fault tolerant control of induction motor / Khalaf Salloum Gaeid
Published 2012“…The fault detection algorithm identifies the time and location of each fault. …”
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20
Global optimization method for continuous - Time sensor scheduling
Published 2010“…We consider a situation in which several sensors are used to collect data for signal processing since operating multiple sensors simultaneously canses system interference, only one sensor can be active at any one time.The problem of scheduling a discrete-valued optimal control problem.This problem cannot be solved using conventional optimization problem.The Transformed problem is then decomposed into a bi-level optimization problem, which is solved using a discreate filled function method in conjunction with a conventional optimal control algorithm.Numerical results show that our algorithm is robust, efficient, and reliable in attaining a near globally optimal solution.…”
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