Search Results - (( data detection based algorithm ) OR ( program implementation using algorithm ))
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1
Detection of the spread of Covid-19 in Indonesia using K-Means Clustering Algorithm / Mohammad Yazdi Pusadan ... [et al.]
Published 2023“…The purpose of this study is to apply the K-Means algorithm to perform clustering on COVID-19 data to determine the high spread of the virus in regions in Indonesia based on the frequency of the data. …”
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Book Section -
2
Classification of credit card holder behavior using K Nearest Neighbor algorithm / Ahmad Faris Rahimi
Published 2017“…In the implementation phase, Bubble Sort, Euclidean Distance, 10-Fold Cross validation, and K Nearest Neighbor algorithm are developed. This application is using the data from a Taiwan bank which is obtained from the UCI data repository website. …”
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Thesis -
3
Flock optimization algorithm-based deep learning model for diabetic disease detection improvement
Published 2024“…Then flock optimization algorithm is applied to detect the sequence; this process is used to reduce the convergence and optimization problems. …”
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4
Traditional marble game using ant colony optimization / Muhammad Izzat Imran Che Isa
Published 2017“…The shortest distance is defined as best result. A set of data contains position of marbles is tested for ACO algorithm in the prototype. …”
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Haar cascade algorithm for microsleep detection
Published 2025“…Based on these results, future research should focus on enhancing the core algorithm to be more resilient to variable lighting and distance, thereby reducing false positives and negatives. …”
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7
Train Track Misalignment Detection System
Published 2014“…Direction-cosine-matrix (DCM) algorithm was also implemented to detect and correct numerical error for the gyroscope via reference data from accelerometer. …”
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Final Year Project -
8
A stylometry approach for blind linguistic steganalysis model against translation-based steganography
Published 2023“…While targeted steganalysis is designed to attack a specific embedding algorithm, blind steganalysis use features extracted or selection from the medium to detect any anomalies that indicate a possibility that a secret data has been embedded within the medium. …”
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9
A study on obstacle detection for IoT based automated guided vehicle (AGV)
Published 2022“…An AGV prototype is designed for obstacle detection and the performance is analyzed. In order to improve obstacle detection in the AGV prototype, Kalman Filtering (KF) algorithm is used in the signal filtering for the HC-SR04 Ultrasonic Sensor data acquisition. …”
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10
Development of deep learning based user-friendly interface for fruit quality detection
Published 2024“…The implementation of deep learning algorithms has contributed to various applications related to the detection of fruit quality. …”
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11
Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…In conclusion, hybrid classification as a combination of k-means and support vector machine algorithms and post-classification comparison change detection technique can be used to monitor land cover changes in Halabja city, Iraq. …”
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Thesis -
12
Effects of Authentication of Users in Mobile Internet Protocol Version 6
Published 2004“…A password algorithm is proposed from which a program can be written in any language deemed suitable.…”
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13
Raspberry Pi-Based Finger Vein Recognition System Using PCANet
Published 2018“…For classification, k-Nearest Neighbours (kNN) with Euclidean distance algorithm is implemented. An enhancement version for kNN algorithm, k-General Nearest Neighbours (kGNN) have been proposed at initial stage. …”
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Monograph -
14
Image processing on intel edison microcontroller for pork detection
Published 2016“…In this research, implementing image processing techniques based on Intel Edison platform is used to handle CVD problem and decrease the detection cost. …”
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Thesis -
15
Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange Data Mining
Published 2025“…Objectives: The main objective of the study is to classify the severity level of FLS disease in soybean using hyperspectral reflectance data and machine learning algorithms. …”
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16
Development of a New Modeling Circuit for the Remote Terminal Unit (RTU) with GSM Communication
Published 2013“…The system has been equipped with microcontroller as a main component which act as an RTU programmed using Microcontroller PRO compiler software. …”
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Solving power system state estimation using orthogonal decomposition algorithm / Tey Siew Kian
Published 2009“…By using real time measurements and historical data base, power system state estimator detects errors in measurements and the data base; and calculates an optimal estimate of the system state vector of the bus voltage magnitudes and angles. …”
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Thesis -
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Deep learning model for 5W (What, When, Where, Who, and Why) sign language translation system / Raihah Aminuddin, Ummu Mardhiah Abdul Jalil and Norsyamimi Hasran
Published 2023“…This research presents a 5W sign language identification system based on the Convolutional Neural Network technique and the You Only Look Once algorithm. …”
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Book Section -
19
Self routing traffic light for traffic light controller using priority method based on volume of vehicles
Published 2015“…In order to increase and enhance the efficiency and accuracy of real time traffic flow, this thesis proposes a novel implementation of sensing method called Self-Routing Traffic Light (SRTL) which incorporates a self-algorithm program as a practical solution to reduce traffic congestion. …”
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A Development Of An Internet Of Things Equipped Unmanned Ground Vehicle For Surveilance Purpose
Published 2019“…The second element, implementation of IoT is with the purpose of collecting surveillance data. …”
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Monograph
