Search Results - (( using function sensor algorithm ) OR ( data validation using algorithm ))
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1
Development of an algorithm for correlation of aircraft positioning data from radar and ADS-B sensors / Koh Che Hun
Published 2019“…Based on the findings, a multi-sensor data correlation algorithm is developed. The algorithm is validated using real time radar and ADS-B data from Department of Civil Aviation Malaysia (CAAM). …”
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Thesis -
2
Improved static and dynamic FBG sensor system for real-time monitoring of composite structures
Published 2017“…Thus, the designation of this research study is to improve the current FBG based real-time monitoring system with the use of certain functions and algorithms, that are the instant mesh-grid function, voltage normalization algorithm, CC-LSL algorithm, and FFT function. …”
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3
Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…Prediction gain, tracking ability and convergence speed of the proposed algorithms are analyzed and validated experimentally by various simulations on both synthetic and real world multidimensional data. …”
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4
Smart fall detection by enhanced SVM with fuzzy logic membership function
Published 2023“…So far, the most widely used fall prediction methods collect data from inertial measurement unit (IMU) sensors. …”
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5
Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…Therefore, a new reference-free damage detection algorithm is proposed. The RWPE measurements of different sensor-to-sensor pairs are applied for defining the reference-free damage index (RDI) of each sensor location. …”
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6
An autonomous wheelchair speed control using fuzzy logic controller / Muhammad Ashraf Mohamad Ghazali
Published 2025“…Future enhancements could involve integrating additional sensors and refining the control algorithm for enhanced performance in real-world applications.…”
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7
Embedded Artificial Intelligent (AI) To Navigate Cart Follower
Published 2018“…The test MSE value is used to evaluate the performance of NN and validation MSE value is used to prevent overfitting. …”
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8
Human activity recognition via accelerometer and gyro sensors
Published 2023“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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9
Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…Then, experiment result was validated with simulation result using OpenSim biomedical modelling software. …”
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10
Artificial neural network (ANN) as post-processing stage for chemically selective field effect transistor (CHEMFET) sensor selectivity based-on ion concentration / Nurhakimah Abd A...
Published 2016“…In this study, the sensor voltage response was acquired to act as input data while sample concentrations which set from 10"6 to 10"1 mol/L was used as target for training data. …”
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11
Development of rheumatoid arthritis classification from electronic image sensor using ensemble method
Published 2020“…The data classification is accessed using holdout and 10-fold cross-validation evaluation methods. …”
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12
Augmented reality monitoring system for cross-belt conveyor in advanced automation line / Sukarnur Che Abdullah ... [et al.]
Published 2025“…This motivates our initiative to develop a simulation of a cross-belt conveyor system. The algorithms for the conveyor system were implemented using C# within Visual Studio and Unity environments. …”
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13
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…In conclusion, diabetic ketoacidosis in unrestricted food intake conditions can be predicted using the proposed ANFIS and GA-ANFIS model. Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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14
Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…From the data analysis using WEKA software, the production rules classifier (PART) is found to be the most accurate classification algorithm in classifying the emotion which yields the highest precision percentage of 99.6% compared to J48 (99.5%) and Naïve Bayes (96.2%). …”
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15
Development of an image rotary encoder for motion control
Published 2013“…Therefore, the research objective is to develop an image rotary encoder based on image texture before converting it into speed and motion data. The image texture is captured from a specially-designed texture of rotating disc using a digital image sensor. …”
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16
Development of an image rotary encoder for motion control
Published 2013“…Therefore, the research objective is to develop an image rotary encoder based on image texture before converting it into speed and motion data. The image texture is captured from a specially-designed texture of rotating disc using a digital image sensor. …”
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Undergraduates Project Papers -
17
Monitoring water quality in Pusu river using Internet of Things (IoT) and Machine Learning (ML)
Published 2024“…During the first iteration, data were gathered using sensors that measured four parameters: pH, turbidity, temperature, and total dissolved solids (TDS). …”
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18
Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
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LoRaWAN-based hybrid internet of wearable things system implementation for smart healthcare
Published 2024“…The IoWT-HHMS has undergone extensive testing and validation across various scenarios, including sensor functionality, performance of Wi-Fi and LoRaWAN networks, hybrid network connectivity, and accuracy assessment using the Datacake dashboard. …”
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20
Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer�s Disease
Published 2022“…In this work, the nonfractal connectivity of rs-fMRI is used to distinguish Alzheimerâ��s patients from healthy controls. …”
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