Search Results - (( data visualization tools algorithm ) OR ( data optimization _ algorithm ))
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VISUALIZATION OF GENETIC ALGORITHM BASED ON 2-D GRAPH TO ACCELERATE THE SEARCHING WITH HUMAN INTERVENTIONS.
Published 2012“…It is noted that active user intervention increases the acceleration of Genetic Algorithm towards an optimal solution. In proposed research work, the user is aided by a visualization based on the representation of multidimensional Genetic Algorithm data on 2-0 space. …”
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Thesis -
2
Buildthermo: an algorithm for visualizing building heat dynamics / Amira Shazlin Adnan ... [et al.]
Published 2024“…With an intuitive interface, BUILDthermo empowers stakeholders to visualize and interpret building heat data effortlessly. …”
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Conference or Workshop Item -
3
Analysis and modeling of database storage optimization power consumption usage for green data centers
Published 2014“…The correlation between amount of space saving and amount of power saving was visualized in form of graph in the green data center correlation tool. …”
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Thesis -
4
Big data storage for the modeling of historical time series solar irradiations
Published 2018“…To solve the optimization problem, this study adopts the Mixed Integer Optimization using Genetic Algorithm (MIOGA) technique. …”
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Book -
5
Chemometrics analysis for the detection of dental caries via ultraviolet absorption spectroscopy / Katrul Nadia Basri
Published 2023“…Model 2 of CNN has maximum performance of validation in terms of accuracy, precision, sensitivity and specificity but the calibration model requires more optimization. The accuracy of the CNN model is comparable with the accuracy of the previous work that utilizing CNN for the imaging data to detect caries (diagnostic tool).…”
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6
A genetic algorithm to minimise the maximum lateness on a single machine family scheduling problem
Published 2009“…All algorithms are coded in ANSI-C using Microsoft Visual C++ 6.0 as the compiler, and run on a Pentium 4, 2.0 GHz computer with 2.0 GB RAM. …”
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7
Defects identification on semiconductor wafer for yield improvement using machine learning / Pedram Tabatabaeemoshiri
Published 2025“…This work presents a novel graph-based semi-supervised learning (GSSL) algorithm designed for wafer defect detection. The proposed methodology involves collecting wafer inspection data, extracting relevant features, and applying the GSSL algorithm to identify the hidden defects. …”
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8
Optimizations of Q. Clear image reconstruction method for brain 18F PET/CT studies
Published 2025“…Clear (BSREM) reconstruction algorithm introduces a β penalization parameter to improve image clarity, yet the optimal β setting for each frame duration remains unclear. …”
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Monograph -
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…In order to reduce the training time and computational cost of the algorithm, Principal Components Analysis (PCA) pretraining strategy is deployed to obtain data adaptive filter banks. …”
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10
The Development Of System For Algorithms Visualization Using Simjava
Published 2020“…It does not simply fit data to a chart to visualize an algorithm, there is no main data set. …”
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Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process
Published 2008“…One of the issues is machinability data selection, which is always referred as the proper selection of cutting tools and machining parameters. …”
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13
Efficient mobile video transmission based on a joint coding scheme
Published 2017“…The purpose of this work is on one hand to minimize the Packet Loss Rate (PLR) and, on the other hand to maximize the visual quality of video transmitted over a wireless network (WN).The scheme proposed is founded on a FEC adaptable with the semantics of the H.264/AVC video encoding.This mechanism relies upon a rate distortion algorithm, controlling the channel code rates under the global rate constraints given by the WN.Based on a data partitioning (DP) tool, both packet type and packet length are taken into account by the proposed optimization mechanism which leads to unequal error protection (UEP). …”
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14
Machine Learning Workflow to Predict Remaining Useful Life (RUL) of Equipment
Published 2019“…One of the most popular machine learning approaches is employed in the prediction workflow which is the Artificial Neural Network (ANN) algorithm, due to its capability to learn from a large volume of data points and high prediction accuracy. …”
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Final Year Project -
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Spatial domain image steganography based on right most digit replacement and parity bit differencing / Mehdi Hussain
Published 2017“…The rapid advancement in digital computation, communication and exponential proliferation of the Internet has now become the easiest and economical way of data transmission. This evolution has gained the drawbacks in the advancement of forgery tools and application that enable perpetrators to steal, alter and destroy information during transmission. …”
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17
A review of visualization techniques for duplicate detection in cancer datasets
Published 2025“…To address these issues, the review advocates for the development of practical, user-friendly visualization tools that combine duplicate detection with key indicators of data quality. …”
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Single fitness function analysis of energy-consumption and radio bandwidth management in coverage area problems
Published 2024thesis::master thesis -
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A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
Published 2018“…By using this method, the data visualization will displaying the minimum and maximum value in range of zero to one. …”
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Undergraduates Project Papers -
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Enhancing data integrity in internet of things-based healthcare applications: A visualization approach for duplicate detection
Published 2025“…However, scalability limitations were observed in larger datasets, where visual clarity declined. These findings highlight the value of visualization as a preliminary data quality assessment tool and suggest future integration with advanced detection algorithms to enhance robustness and scalability.…”
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