Search Results - (( developing negative _ algorithm ) OR ( java optimization path algorithm ))
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Thesis -
2
SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing
Published 2019“…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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3
Energy efficient path reconstruction in wireless sensor network using iPath
Published 2019“…This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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Visdom: Smart guide robot for visually impaired people
Published 2025“…Core functionalities such as path planning, autonomous movement, voice feedback, and app-to-robot communication have been thoroughly tested and optimized. …”
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Final Year Project / Dissertation / Thesis -
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Automated path testing using the negative selection algorithm
Published 2017“…Generating path test data is the most critical stage in software testing and many approaches have been developed by researchers to automate it. Negative selection algorithm (NSA) has been used in this paper to generate test data for path testing automatically. …”
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Indexed Article -
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Melanoma skin cancer recognition using negative selection algorithm / Muhammad Rushamir Hakimi Ruslan
Published 2017“…This study proposed and focused on the development of a prototype that uses the Negative Selection Algorithm to classify the input image whether it is belongs to melanoma skin cancer or benign mole. …”
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7
Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…In fact, the performance of RFID missing tag detection is largely affected by uncertainty, which should be considered in the detecting process phase to minimize its negative impact. Thus in this research, an AC complement algorithm with hashing algorithm and Detect False Negative Read algorithm (DFR) is used to developed the Missing Tags Detection Algorithm (MTDA). …”
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8
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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9
Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…Hence, this study proposed the development of an automated negative lightning return strokes characterization using a brute-force search algorithm. …”
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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…Hence, this study proposed the development of an automated negative lightning return strokes characterization using a brute-force search algorithm. …”
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Automated Negative Lightning Return Strokes Characterization Using Brute-Force Search Algorithm
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journal::journal article -
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Sentiment analysis using negative selection algorithm for Twitter’s messages / Nazirah Che Alhadi
Published 2012“…This project methodology consists of five phases which are preliminary study, data collection and preparation, model development, model evaluation and documentation. This project is designed using negative selection algorithm to automatically classify the Twitter’s messages into its sentiment’s category based on important keyword recognition. …”
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13
Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm
Published 2021“…A total of 206 negative lightning return strokes waveforms were analysed and automatically characterised using the proposed algorithm. …”
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14
Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan
Published 2013“…This project is implemented based on five phases in methodology part which consists of background study, data collection and preparation, prototype design, prototype development and evaluation and dociunentation. Sentiment Analysis for Malay Newspaper (SAMNews) is constructed using the negative selection algorithm which is able to classify the sentiment in newspaper’s sentences into the polarity (positive, negative or neutral) automatically repose on detectors word. …”
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15
Academic leadership bio-inspired classification model using negative selection algorithm
Published 2015“…Negative selection algorithm has been successfully used in several purposes such as in fault detection, data integrity protection, virus detection and etc.due to the unique ability in self-recognition by classifying self or non-self’s detectors. …”
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Conference or Workshop Item -
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A study on the performances of danger theory and negative selection algorithms for mobile spam detection
Published 2024journal::journal article -
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Sentiment analysis of hotel reviews using Convolutional Neural Network / Sofea Aini Mohd Sufian
Published 2021“…So, the aim of this paper is to develop a prototype for hotel reviews using CNN Algorithm, to identify the requirements of CNN technique for text classification and also to evaluate the accuracy of CNN algorithm. …”
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Synergizing intelligence and knowledge discovery: Hybrid black hole algorithm for optimizing discrete Hopfield neural network with negative based systematic satisfiability
Published 2024“…To tackle the limitation, we introduced a Negative Based Higher Order Systematic Logic to the network, imposing restriction on the appearance of negative literals within the clauses. …”
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Article -
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…Real-Valued Negative Selection Algorithm with Variable-Sized Detectors (V-Detectors) is an offspring of AIS and demonstrated its potentials in the field of anomaly detection. …”
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Thesis -
20
An Efficient Computational Algorithm for Solving Arbitrary Sylvester Matrix Equations in Fuzzy Control Theory (S/O 14179)
Published 2021“…By modifying the existing fuzzy arithmetic operators, the constructed algorithm exceeds the positive restriction to allow the negative and near-zero LR-TFN as the coefficients of the equations. …”
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Monograph
