Search Results - (( developing estimation sensor algorithm ) OR ( java optimization based algorithm ))
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…The algorithm will be developed in MATLAB. The objective of this project is to develop ANN model for ISFET sensor that able to estimate the main ion in mixed solution by learning the pattern of the input and output of the sensor. …”
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Thesis -
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Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…The algorithm will be developed in MATLAB. The objective of this project is to develop ANN model for ISFET sensor that able to estimate the main ion in mixed solution by learning the pattern of the input and output of the sensor. …”
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3
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013“…The optimization of a computationally intensive algorithm such as this on a mobile platform is challenging due to the limited resources available. …”
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4
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…Hence, the objective of this research is to propose suitable and optimize algorithm for ANPR system on Android mobile phone. …”
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Book -
5
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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Rao-blackwellized particle filter algorithm integrated with neural network sensor model using laser distance sensor
Published 2023“…Commonly, simultaneous localization and mapping (SLAM) algorithm is developed using high-end sensors. Alternatively, some researchers use low-end sensors due to the lower cost of the robot. …”
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Human location estimation using thermopile array sensor
Published 2017“…Human position estimated successfully as the developed sensory system is tested to Stand Fan.…”
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Proceeding Paper -
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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 -
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Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation
Published 2020“…Based on inertial sensor data, the proposed system estimates the kinematics (contact phase and orientation) of the cane. …”
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Attitude and deformation coupled estimation of flexible satellite using low-cost sensors
Published 2022“…The numerical results also demonstrate that including the flexibility model in the developed estimation equations enables the algorithm to successfully estimate the deformation at any solar panel location without the need for any conventional sensor that directly measures the strain and/or deformation.…”
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Input-output based relation combinatorial testing using whale optimization algorithm for generating near optimum number of test suite
Published 2025“…This study proposes a combinatorial testing method utilizing the Whale Optimization Algorithm (WOA). The study compares the performance of WOA with various existing strategies, such as Greedy, Density, TVG, Union, ParaOrder, ReqOrder, ITTDG, AURA, Java Algorithm (CTJ), TTSGA, and AFA. …”
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Advanced differential interferometry synthetic aperture radar techniques for deformation monitoring: a review on sensors and recent research development
Published 2014“…Also, current issues in sensor and algorithm development are discussed. The study identified six existing A-DInSAR algorithms used for monitoring various deformation types. …”
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A heuristics approach for classroom scheduling using genetic algorithm technique
Published 2017“…The proposed of heuristics approach will prompt a superior utilization of the accessible classroom space for a given time table of courses at the university. Genetic Algorithm through Java programming languages were used in this study and aims at reducing the conflicts and optimizes the fitness. …”
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Satellite attitude determination utilizing measurement sensor data and kalman filtering
Published 2006“…A successful Kalman filter algorithm for autonomous attitude determination is developed herein. …”
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Spacecraft sun-pointing using coplanar solar panels data and magnetic field measurements
Published 2013“…The goal of this paper is to develop an algorithm for sun vector estimation without any explicit measurements from sun sensors. …”
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Proceeding Paper -
16
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…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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17
Evaluation of a spacecraft attitude and rate estimation algorithm
Published 2010“…Design/methodology/approach: The algorithm requires only geomagnetic field data and can be used as a low‐cost alternative or as a back‐up estimator in the case of attitude sensor failures. …”
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Novel chewing cycle approach for peak detection algorithm of chew count estimation
Published 2025“…As a result, there has been a growing interest among researchers in developing automated methods for estimating chew count. …”
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Novel chewing cycle approach for peak detection algorithm of chew count estimation
Published 2025“…As a result, there has been a growing interest among researchers in developing automated methods for estimating chew count. …”
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Hardware development of autonomous mobile robot based on actuating lidar
Published 2022“…As opposed to a point cloud generated from high-end LiDAR sensors where many algorithms have been developed for object detection, sparse LiDAR point clouds still possess large room for improvement. …”
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