Search Results - (( java application optimisation algorithm ) OR ( using negative process algorithm ))
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Secondly, an expert system using Java programming technology with two tiers of search engine was developed to perform a fast selection of candidate materials in huge volume. …”
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2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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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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Automated path testing using the negative selection algorithm
Published 2017“…The proposed algorithm has been applied to the most commonly used benchmarking program which is triangle classifier. …”
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Indexed Article -
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Swarm negative selection algorithm for electroencephalogram signals classification
Published 2009“…The SNS classification model use negative selection and PSO algorithms to form a set of memory Artificial Lymphocytes (ALCs) that have the ability to distinguish between normal and epileptic EEG patterns. …”
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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
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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Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…Meanwhile, DFR algorithm was used to identify the false negative read that present in the set of data. …”
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Automated Negative Lightning Return Strokes Characterization Using Brute-Force Search Algorithm
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…Thus, there is a need to automate the process of identifying and predicting (positive, negative, or neutral class) these cyber-trooping data. …”
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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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Diabetes prediction system using clonal selection algorithm / Nor Aishah Mustapa
Published 2012“…There are many techniques that can be used to make prediction process but the technique that has been selected to be used for this system is Artificial Immune System. …”
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Optimization of yeast fermentation process using genetic algorithm
Published 2021“…This paper proposes genetic algorithm (GA) to optimize the productivity of yeast fermentation process. …”
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Proceedings -
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Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC)
Published 2024“…This algorithm enhances the accuracy of true positives and true negatives while minimising false negatives and false positives. …”
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…Since the emergence of AIS, it has proved itself as an area of computational intelligence. 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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Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…Classification and prediction are the functions provided by the data mining techniques that suit in EEG signal processing. The objectives of this research are to classify the user emotion characteristics by using EEG signals based on children’s behaviour, to develop a prototype of an emotion prediction system named as MYEmotion and to validate the developed prototype in predicting the positive and negative emotions of the children. 16 datasets of attention and meditation levels were collected from a qualitative sampling of 10 years old school children in Pekan, Pahang using a BCI headset tool. …”
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Classification of gram-positive and gram-negative bacterial images based on machine learning algorithm
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Conference or Workshop Item -
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