Search Results - (( data visualization learning algorithm ) OR ( using application system algorithm ))
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1
Intelligent agent for e-commerce using genetic algorithm / Kok Sun Sun
Published 2000“…This system is achieved using the Genetic Algorithm which is capable of performing information retrieval and learning algorithm. …”
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Thesis -
2
Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Visual C++ object-oriented programming language was used to build the Intelligent Learning System for Turning. …”
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3
Algorithm visualization design guidelines for mobile leaning
Published 2018“…This study is about the algorithm visualization design guidelines for mobile platform, to teach students data structures and algorithm (DSA) subject effectively. …”
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4
Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…Then, a Machine Learning Algorithm (MLA) is used to train and test the data before a classifier is used to classify the new incoming dataset. …”
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Proceeding Paper -
5
DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH
Published 2005“…Knowledge Discovery in Database and Data Mining use techniques derived from machine learning, visualization and statistics to investigate real world data. …”
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Final Year Project -
6
A review on monocular tracking and mapping: from model-based to data-driven methods
Published 2022“…This article starts by introducing the basic sensor systems and analyzing the evolution of monocular tracking and mapping algorithms through bibliometric data. …”
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7
Stock price monitoring system
Published 2024“…As stock price is time series data, a time series prediction algorithm is being utilized to build a deep learning model, namely Long Short-Term Memory (LSTM). …”
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Final Year Project / Dissertation / Thesis -
8
Car dealership web application
Published 2022“…Explainable models could enhance business value and application users’ trusts in machine learning with the aid of effective visualizations like beeswarm plots. …”
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Final Year Project / Dissertation / Thesis -
9
Classification of labour pain using electroencephalogram signal based on wavelet method / Sai Chong Yeh
Published 2020“…The training and parameters selection of the machine learning algorithms are conducted using EEG data collected from ten subjects in the laboratory. …”
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10
Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng
Published 2018“…Additionally, novel information retrieval measurements are proposed to better evaluate the usefulness of enhancement algorithms in applications, namely the local features matching and l1-norm distance measure of intensity histogram. …”
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11
Adaptive algorithms for automated intruder detection in surveillance networks
Published 2014“…Built using machine learning techniques, the proposed algorithms are adaptive and portable, do not require any expensive or sophisticated component, are lightweight, and efficient with runtimes of the order of hundredths of a second. …”
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Proceeding Paper -
12
Deep Reinforcement Learning For Control
Published 2021“…The complete project is carried out in the CARLA simulator to determine how to operate in discrete action space using Deep Reinforcement Learning (DRL) algorithms. …”
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Monograph -
13
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The data collected for this machine learning model is using the statistically significant features from vibration and acoustic analysis. …”
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14
Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
Published 2023“…This research contributes novel insights into the application of clustering algorithms in banking, proposing pragmatic solutions for efficient data analysis and campaign optimization. …”
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15
Dynamic user preference parameters selection and energy consumption optimization for smart homes using deep extreme learning machine and bat algorithm
Published 2020“…In this paper, the Alpha Beta filter has been used to predict the indoor Temperature, illumination, and air quality and remove noise from the data. We applied a deep extreme learning machine approach to predict the user parameters. …”
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16
Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias
Published 2023“…The goal is to empower suicide prevention organizations and concerned individuals with an efficient and accessible means of taking timely actions toward individuals at risk. The result of the data analysis is visualized into a web application system to enable the analysis results to be interpretable and readable by the user using Plotly visualization tool. …”
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Thesis -
17
Converged Classification Network For Matching Cost Computation
Published 2020“…Overall quantitative results for the proposed work performed competitively compared to other established stereo matching algorithm based on the Middlebury standard benchmark online system.…”
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18
Job-Applicant matchmaking system using natural language processing
Published 2023“…This Job-Applicant Matchmaking System using Natural Language Processing project is for academic purpose. …”
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Final Year Project / Dissertation / Thesis -
19
The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer
Published 2023“…This article describes the fundamentals of ML-based implementations, as well as future limits and concerns for the production of skin cancer detection and classification systems. We also explored five fields of dermatology using deep learning applications: (1) the classification of diseases by clinical photos, (2) der moto pathology visual classification of cancer, and (3) the measurement of skin diseases by smartphone applications and personal tracking systems. …”
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Development of IoT-based automated dynamic emergency response system against fire incidents in academic building
Published 2023“…The proposed system leverages IoT technology, wireless and bluetooth sensor networks to gather real-time data from various sensors and devices installed in the site and uses machine learning algorithms to predict and prevent potential fire incidents. …”
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