Editorial Board
Novel weighted ensemble classifier for smartphone based indoor localization
A whale optimization system for energy-efficient container placement in data centers
Clustering of large scale QoS time series data in federated clouds using improved variable Chromosome Length Genetic Algorithm (CQGA)
Sign Language Recognition: A Deep Survey
Quaternion statistics applied to the classification of motion capture data
Adaptive Segmentation and Sequence Learning of human activities from skeleton data
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting
A novel method for solving data envelopment analysis problems with weak ordinal data using robust measures
Fast online computation of the Qn estimator with applications to the detection of outliers in data streams
A novel multi-task linear mixed model for smartphone-based telemonitoring
Detecting the shuttlecock for a badminton robot: A YOLO based approach
An efficient and accurate recommendation strategy using degree classification criteria for item-based collaborative filtering
Multiple breaks detection in financial interval-valued time series
Supervised discriminative dimensionality reduction by learning multiple transformation operators
A feature selection algorithm of decision tree based on feature weight
Redefining fuzzy entropy with a general framework
Towards efficient unconstrained handwriting recognition using Dilated Temporal Convolution Network
Dynamic Salp swarm algorithm for feature selection
Extreme point bias compensation: A similarity method of functional clustering and its application to the stock market
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Ensemble Belief Rule-Based Model for complex system classification and prediction
Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes
Knowledge graph enhanced neural collaborative recommendation
Deep reinforcement learning for portfolio management of markets with a dynamic number of assets
Learning latent representations of bank customers with the Variational Autoencoder
Pythagorean fuzzy linear programming technique for multidimensional analysis of preference using a squared-distance-based approach for multiple criteria decision analysis
Point of interest recommendations based on the anchoring effect in location-based social network services
A design failure pre-alarming system using score- and vote-based associative classification
A k-NN method for lung cancer prognosis with the use of a genetic algorithm for feature selection
The importance of temporal information in Bayesian network structure learning
Twitter trends: A ranking algorithm analysis on real time data
New activation functions for single layer feedforward neural network
Optimizing nonlinear charging times of electric vehicle routing with genetic algorithm
Deep neural system for supporting tumor recognition of mammograms using modified GAN
Learning comprehensible and accurate hybrid trees
Towards greener petrochemical production: Two-stage network data envelopment analysis in a fully fuzzy environment in the presence of undesirable outputs
Recognizing activities of daily living from UWB radars and deep learning
An efficient algorithm for unique class association rule mining
A clustering based ensemble of weighted kernelized extreme learning machine for class imbalance learning
CDBH: A clustering and density-based hybrid approach for imbalanced data classification
Hierarchical deep multi-modal network for medical visual question answering
deepsing: Generating sentiment-aware visual stories using cross-modal music translation
TechWord: Development of a technology lexical database for structuring textual technology information based on natural language processing
Multi-objective periodic cash transportation problem with path dissimilarity and arrival time variation
An unsupervised orthogonal rotation invariant moment based fuzzy C-means approach for the segmentation of brain magnetic resonance images
An alternative practical public-key cryptosystems based on the Dependent RSA Discrete Logarithm Problems
An improved ant colony optimization with an automatic updating mechanism for constraint satisfaction problems
Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces
Multi-core sine cosine optimization: Methods and inclusive analysis
Neural network embeddings on corporate annual filings for portfolio selection
Predicting stock movements based on financial news with segmentation
DCT-phase statistics for forged IMEI numbers and air ticket detection
Deep learning approaches for COVID-19 detection based on chest X-ray images
GEP-based classifier for mining imbalanced data
