Search Results - (( model relationship between algorithm ) OR ( based information based algorithm ))*
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GA optimization-based BRB AI reasoning algorithm for determining the factors affecting customer churn for operators
Published 2024“…In the era of big data, numerous predictive models are based on more redundant features, which increases the complexity of the algorithms and the difficulty of analyzing customer churn. …”
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Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti
Published 2024“…This research project focuses on developing a laptop price prediction model using the decision tree algorithm based on laptop specifications. …”
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What drives Chinese youth to use fitness-related health information on social media? an analysis of intrinsic needs, social media algorithms, and source credibility
Published 2024“…Additionally, social media algorithms moderated the relationship between the need for relatedness and fitness-related health information behavior. …”
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Hybrid Genetic Algorithm based Fuzzy Inference System for Data Regression
Published 2023Conference Paper -
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Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani
Published 2016“…The sentences relevance identification module uses a statistical based approach such as vector space model (VSM) to represent sentences and compute similarity between the source sentences and the summary sentences using the cosine similarity measure. …”
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Learning style analysis based on Felder-Silverman Index Model using Rule Base algorithm
Published 2024“…The system is developed using the PHP and CSS programming languages, with XAMPP and MySQL serving as the database that stores the necessary information. The Rule Base algorithm is used to classify students based on their learning style characteristics. …”
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Effort Estimation Model for Function Point Measurement
Published 2007“…Generally, most of the algorithmic models were generated based on historical projects, and therefore, the same methodology has been applied in this research work. …”
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A binary logarithm similarity measure with roughness approximation of rough neutrosophic set for Covid 19 cases / Muhammad Naim Haikal Yaso' and Hazlin Shahira Ramlee
Published 2022“…The findings of the similarity measure between two or more expert-provided information are categorized as either a strong or a weak relationship. …”
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A cluster analysis of population based cancer registry in Brunei Darussalam : an exploratory study
Published 2022“…Socio-demographic data available in cancer registries could be explored, to get further insight into relationships between cancer types and their contributing factors. …”
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Analysis of online CSR message authenticity on consumer purchase intention in social media on Internet platform via PSO-1DCNN algorithm
Published 2024“…First, this work uses one-dimensional convolutional neural network (1DCNN) to model the relationship between the two. This model uses multichannel convolution feature, BN and Dropout strategy to promote performance for the model. …”
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Modified ACS centroid memory for data clustering
Published 2019“…The problem arises because ACOC is a centroid-label clustering algorithm, in which the relationship between a centroid and instance is unstable. …”
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Chaos search in fourire amplitude sensitivity test
Published 2012“…This paper explores the characterization of learning functions involved in FAST and derives the underlying dynamical relationships with chaos search, which can provide new learning algorithms. …”
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Peak pressure analysis of foot plantar distribution based on image processing algorithm
Published 2018“…The proposed image processing that based on the related parameters. Thus, the image information of the pressure sensor can solve the balancing problem for those who have a problem during standing and walking.…”
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Interval-valued fuzzy soft topology and its applications in group decision-making problems
Published 2022“…In the literature, there are various interval-valued fuzzy soft set-based decision-making algorithms. However, these algorithms are unable to overcome the issue of comparable alternatives, and as a result, they might well be ignored due to a lack of a comprehensive model. …”
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. Every algorithm makes its own respective prior assumptions about the relationships between the features and target variables, which create different types and levels of bias. …”
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Quantum-inspired associative memories for incorporating emotion in a humanoid / Naoki Masuyama
Published 2016“…In regards to the ability improvements in terms of memory capacity and noise tolerance, the quantum-inspired hetero-association models with batch/incremental learning algorithm are developed based on QHAM. …”
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Chaos Search in Fourier Amplitude Sensitivity Test
Published 2012“…This paper explores the characterization of learning functions involved in FAST and derives the underlying dynamical relationships with chaos search, which can provide new learning algorithms. …”
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Bayesian Network of Traffic Accidents in Malaysia
Published 2019“…By using Hill Climb (HC) and Tabu algorithms, the structure of the data was learnt and their relationship is estimated through the conditional probability based on the Bayes theorem. …”
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Reservoir water release dynamic decision model based on spatial temporal pattern
Published 2016“…The rainfall and water level are fuzzy information, thus the decision model needs the ability to handle the fuzzy information. …”
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