A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications
Deep learning approaches to scene text detection: a comprehensive review
Machine learning towards intelligent systems: applications, challenges, and opportunities
Visual tracking using convolutional features with sparse coding
A review of q-rung orthopair fuzzy information: bibliometrics and future directions
Unbalanced probabilistic linguistic decision-making method for multi-attribute group decision-making problems with heterogeneous relationships and incomplete information
Various dimension reduction techniques for high dimensional data analysis: a review
Incremental Bayesian broad learning system and its industrial application
Improved social spider algorithm for large scale optimization
Bioacoustic signal denoising: a review
An improved Henry gas solubility optimization algorithm for task scheduling in cloud computing
A review on fault detection and diagnosis techniques: basics and beyond
Artificial intelligence techniques and their application in oil and gas industry
Multi-criteria decision making approach based on SVTrN Dombi aggregation functions
Concept learning using one-class classifiers for implicit drift detection in evolving data streams
QoS-driven metaheuristic service composition schemes: a comprehensive overview
Implicit and hybrid methods for attribute weighting in multi-attribute decision-making: a review study
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities
Applications, databases and open computer vision research from drone videos and images: a survey
A quantum-based sine cosine algorithm for solving general systems of nonlinear equations
A possibilistic approach for interval type-2 fuzzy linguistic summarization of time series