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Artificial Intelligence Review (AIR) - August 2021, issue 6 论文列表

本期论文列表
Artificial intelligence-based techniques for analysis of body cavity fluids: a review

A new interval type-2 trapezoid fuzzy multi-attribute group decision-making method and its application to the evaluation of sponge city construction

Grammar-based automatic programming for medical data classification: an experimental study

Probabilistic linguistic multiple attribute group decision making for location planning of electric vehicle charging stations based on the generalized Dice similarity measures

Biological computation and computational biology: survey, challenges, and discussion

Metaheuristics: a comprehensive overview and classification along with bibliometric analysis

Text detection and localization in scene images: a broad review

Facial asymmetry-based feature extraction for different applications: a review complemented by new advances

Sine trigonometric operational laws and its based Pythagorean fuzzy aggregation operators for group decision-making process

An integrated rough ELECTRE II approach for risk evaluation and effects analysis in automatic manufacturing process

A survey of deep meta-learning

Approximate reasoning with fuzzy rule interpolation: background and recent advances

Application of an improved discrete crow search algorithm with local search and elitism on a humanitarian relief case

Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models

A hybrid data envelopment analysis—artificial neural network prediction model for COVID-19 severity in transplant recipients

Automatic selection of heavy-tailed distributions-based synergy Henry gas solubility and Harris hawk optimizer for feature selection: case study drug design and discovery

A survey on different dimensions for graphical keyword extraction techniques

How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms

Study on modeling implicit learning based on MAM framework