Editorial Board
A general ontological timetabling-model driven metaheuristics approach based on elite solutions
Home location prediction with telecom data: Benchmarking heuristics with a predictive modelling approach.
Lichtenberg algorithm: A novel hybrid physics-based meta-heuristic for global optimization
Multi-level fleet size optimization for containers handling using double-cycling strategy
Optical-flow-based framework to boost video object detection performance with object enhancement
A probabilistic linguistic evaluation-based multi-stage medical scheme selection process related to referral system
Sparse Gaussian process for online seagrass semantic mapping
Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling
A fusion-domain color image watermarking based on Haar transform and image correction
Neighborhood global learning based flower pollination algorithm and its application to unmanned aerial vehicle path planning
A 6-DOFs event-based camera relocalization system by CNN-LSTM and image denoising
Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies
Fuzzy rule-based neural appointed-time control for uncertain nonlinear systems with aperiodic samplings
IF2CNN: Towards non-stationary time series feature extraction by integrating iterative filtering and convolutional neural networks
Multi-criteria decision analysis towards robust service quality measurement
Parallel versus cascaded logistic regression trained single-hidden feedforward neural network for medical data
Dynamic learning framework for epileptic seizure prediction using sparsity based EEG Reconstruction with Optimized CNN classifier
A comparison between metaheuristics for solving a capacitated fixed charge transportation problem with multiple objectives
A novel method for multispectral image pansharpening based on high dimensional model representation
Is neural always better? SMT versus NMT for Dutch text normalization
A novel pipeline framework for multi oriented scene text image detection and recognition
Discovery of stay area in indoor trajectories of moving objects
Spatial segment-aware clustering based dynamic reliability threshold determination (SSC-DRTD) for unsupervised person re-identification
Digraph and matrix approach for risk evaluations under Pythagorean fuzzy information
Semi-automatic generation of multilingual datasets for stance detection in Twitter
Towards Emotion-aware Recommender Systems: an Affective Coherence Model based on Emotion-driven Behaviors
Kinematic Constrained Bi-directional RRT with Efficient Branch Pruning for robot path planning
Synchronization in collaboration network
Online clustering reduction based on parametric and non-parametric correlation for a many-objective vehicle routing problem with demand responsive transport
An investigation on Wu-Leung multi-scale information systems and multi-expert group decision-making
Additive deep feature optimization for semantic image retrieval
Bi-objective traffic count location model for mean and covariance of origin–destination estimation
A Pareto based discrete Jaya algorithm for multi-objective flexible job shop scheduling problem
Deep reinforcement learning based trading agents: Risk curiosity driven learning for financial rules-based policy
Towards optimal hydro-blasting in reconfigurable climbing system for corroded ship hull cleaning and maintenance
Multi-criteria tensor model for tourism recommender systems
A modified equilibrium optimizer using opposition-based learning and novel update rules
Collaborative logistics pickup and delivery problem with eco-packages based on time–space network
CNN with depthwise separable convolutions and combined kernels for rating prediction
Stratified opposition-based initialization for variable-length chromosome shortest path problem evolutionary algorithms
Algorithmically generated malicious domain names detection based on n-grams features
Evolving fuzzy reasoning approach using a novel nature-inspired optimization tool
A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data
Solving continuous optimization problems using the tree seed algorithm developed with the roulette wheel strategy
ERV-Net: An efficient 3D residual neural network for brain tumor segmentation
Mining top-N high-utility operation patterns for taxi drivers
A novel framework of graph Bayesian optimization and its applications to real-world network analysis
Edge-centric multi-view network representation for link mining in signed social networks
Compression effects and scene details on the source camera identification of digital videos
