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Pulsar Candidate Selection Using a Genetic Fuzzy System
Pulsars are a rare class of star with relevance to astronomy, physics, and engineering. Pulsar surveys are generating increasing numbers of pulsar...
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Systematic Procedure for Selection of Candidate Materials for Microspines
In the past four decades, robots used for transitioning from horizontal to vertical surfaces have implemented electromagnetism, vacuum suction, claws...
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Model Selection
In this chapter, we discuss approaches for a problem called model selection. Model selection is always needed when there are a number of candidate...
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Evaluation of Candidate Pair Generation Strategies in Entity Matching
Entity Matching (EM) involves identifying and linking the given entities from various sources that pertain to identical real-world entities, serving...
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Application of improved data-driven diagnostics workflow based on coupled hydro-mechanical model for stimulation candidate selection in a complex carbonate reservoir
The focus of the present paper is on utilizing a comprehensive diagnostics workflow that combines coupled hydro-mechanical modeling with production...
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Dynamic feature selection combining standard deviation and interaction information
Feature selection achieves dimensionality reduction by selecting some effective features from the original feature set. However, in the process of...
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Adaptive candidate estimation-assisted multi-objective particle swarm optimization
The selection of global best (Gbest) exerts a high influence on the searching performance of multi-objective particle swarm optimization algorithm...
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An Automated Candidate Selection System Using Bangla Language Processing
Recruiting or selecting the right candidates from a vast pool of candidates has always been a fundamental issue in Bangladesh as far as employers...
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Intelligent Stage Selection Method for Refracturing Based on the Type-2 Fuzzy Logic System
To solve the problems of low-ratio high-contribution stages in the horizontal well initial fracturing and complex factors affecting refracturing...
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Fast Shrinking parents-children learning for Markov blanket-based feature selection
High-dimensional data leads to degraded performance of machine learning algorithms and weak generalization of models, so feature selection is of...
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Fuzzy-Based Probabilistic Multi-objective Optimization for Material Selection
In this chapter, the probability-based method for multi-objective optimization (PMOO) is adopted to develop a rational fuzzy-related multi-objective...
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Toward a New Process for Candidate Key-Phrases Extraction
Key-phrases in a document are the terms that allow us to have or know an idea of its content without having to read it. They can be used in many...
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Feature gene selection based on fuzzy neighborhood joint entropy
This paper addresses the feature selection problem for gene expression profiles. Feature selection based on fuzzy neighborhood rough sets is very...
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A Task-based Personalized Privacy-Preserving Participant Selection Mechanism for Mobile Crowdsensing
Participant selection is one of the most crucial problems in mobile crowdsensing, which relies on the feature similarity between tasks and mobile...
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Mmwave massive MIMO: one joint beam selection combining cuckoo search and ant colony optimization
In order to degrade the inter-user interference caused by the same beam selected for different users in mmWave massive MIMO systems, this paper...
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Single candidate optimizer: a novel optimization algorithm
Single-solution-based optimization algorithms have gained little to no attention by the research community, unlike population-based approaches. This...
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Toward gradient bandit-based selection of candidate architectures in AutoGAN
The neural architecture search (NAS) method provides a new approach to the design of generative adversarial network (GAN)’s architecture. The...
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CNN Combined With a Prior Knowledge-based Candidate Search and Diffusion Method for Nighttime Vehicle Detection
Driver assistance systems or smart headlamp technology require accurate vehicle detection in nighttime traffic environments. This study proposes a...
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MuSelect Chain: trusted decentralized mutual selection through blockchain
Mutual selection (the process of two types of objects choosing each other) often occurs in practical applications, such as those concerning financial...
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Variable selection and identification of high-dimensional nonparametric nonlinear systems by directional regression
The importance of discovering significant variables from a large candidate pool is now widely recognized in many fields. There exist a number of...
