Search Results - (( developing negative search algorithm ) OR ( java implication based 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
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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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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Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm
Published 2021“…Accordingly, the proposed Brute-Force search algorithm characterised the negative lightning return strokes parameters based on the seven parameters. …”
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A fuzzy adaptive teaching learning-based optimization strategy for generating mixed strength t-way test suites
Published 2019“…Many test data generation strategies based on meta-heuristic algorithms such as Simulated Annealing (SA), Tabu Search (TS), Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Harmony Search (HS), Cuckoo Search (CS), Bat Algorithm (BA) and Bees Algorithm have been developed in recent years. …”
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Lexicon-based and immune system based learning methods in Twitter sentiment analysis
Published 2016“…Negative Selection algorithm (NSA), Clonal Selection algorithm (CSA) and Immune Network algorithm (INA); and model analysis. …”
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A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…The suggested algorithm outperforms the competition in terms of improving path cost, smoothness, and search time. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Article recommendation system using content-based filtering / Muhammad Hazrul Afiq Kamaruddin
Published 2024“…The challenges in the education industry include the time-consuming process of manually searching for relevant research articles, which reduces productivity and negatively impacts academic performance. …”
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Deterministic and stochastic inventory routing problems with backorders using artificial bee colony / Huda Zuhrah Ab Halim
Published 2019“…An Artificial Bee Colony (ABC) algorithm is proposed for the problem. The performance of ABC is evaluated on existing datasets and compared with Scatter Search (SS) and Genetic Algorithm (GA). …”
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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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Autonomous formation flight control of multiple UAVs with motion capture system
Published 2013“…This type of formation is used for a curving or circular motion where by the distance of the leader-follower through the center and the angle between the leader and follower is regulated. Although the development has yielded good result, some negative attributes can be seen. …”
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Application of bioinformatics to Helicobacter pylori vaccinology / Nurah Zainal Abidin
Published 2008“…Helicobacter pylori is a gram-negative and a microaerophilic bacterium. It has a shape of a spiral. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Using hill climbing from search and score algorithms, the Bayesian network analysis revealed that there were associations among the network covariates, while cofounding effects of SES were observed. …”
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Air quality forecasting and mapping in Malaysian urban areas: A hybrid deep learning approach
Published 2025text::Thesis -
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…It is a user-friendly variable selection tool with excellent results compared to Stepwise, especially in a large search space. The GA-ANN and GA-NARX models perform markedly better than the other models in the most training algorithms with different numbers of hidden layers.…”
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