Editorial Board
Data association in multiple object tracking: A survey of recent techniques
Generalised soft multi-mode real options model (fuzzy-stochastic approach)
An unsupervised learning framework for marketneutral portfolio
Modelling spatial dependence for Loss Given Default in peer-to-peer lending
Incorporating time-interval sequences in linear TV for next-item prediction
Graph-based adaptive and discriminative subspace learning for face image clustering
Hybrid multi-document summarization using pre-trained language models
An efficient automatic accident detection system using inertial measurement through machine learning techniques for powered two wheelers
Exploiting Pareto distribution for user modeling in location-based information retrieval
Artificial bee colony based on adaptive search strategy and random grouping mechanism
Speech evaluation of patients with Alzheimer’s disease using an automatic interviewer
TT-graph: A new model for building social network graphs from texts with time series
Differential evolution with dynamic combination based mutation operator and two-level parameter adaptation strategy
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection
A novel framework for detection of motion and appearance-based Anomaly using ensemble learning and LSTMs
A novel symplectic relevance matrix machine method for intelligent fault diagnosis of roller bearing
An agent-based paradigm for virtual modeling
An agent-based optimisation approach for vehicle routing problem with unique vehicle location and depot
A personalized individual semantics-based multi-attribute group decision making approach with flexible linguistic expression
Privacy-aware Distributed Diagnosis of Multi-Agent Plans
Predicting dengue outbreaks in Brazil with manifold learning on climate data
Automatic identification of schizophrenia using EEG signals based on discrete wavelet transform and RLNDiP technique with ANN
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems
Impact damage characterization in CFRP samples with self-organizing maps applied to lock-in thermography and square-pulse shearography images
Developing fuzzy logic strength of evidence index and application in Bayesian networks for system risk management
Source printer identification using printer specific pooling of letter descriptors
Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model
On the cooperation of meta-heuristics for solving many-objective problems: An empirical analysis including benchmark and real-world problems
Modeling personalized representation for within-basket recommendation based on deep learning
Manufacturing service recommendation method toward industrial internet platform considering the cooperative relationship among enterprises
ADANOISE: Training neural networks with adaptive noise for imbalanced data classification
CORF3D contour maps with application to Holstein cattle recognition from RGB and thermal images
An analytical framework based on the recency, frequency, and monetary model and time series clustering techniques for dynamic segmentation
Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization
An analysis of Single-Player Monte Carlo Tree Search performance in Sokoban
A fast algorithm for mining temporal association rules in a multi-attributed graph sequence
Fractional stochastic configuration networks-based nonstationary time series prediction and confidence interval estimation
Cross-domain object detection using unsupervised image translation
A dynamic time warping approach for handling class imbalanced medical datasets with missing values: A case study of protein localization site prediction
The complementarity of a diverse range of deep learning features extracted from video content for video recommendation
Design of single- and multi-loop self-adaptive PID controller using heuristic based recurrent neural network for ALFC of hybrid power system
A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks
Discrete fractional-order Caputo method to overcome trapping in local optima: Manta Ray Foraging Optimizer as a case study
Finding most informative common ancestor in cross-ontological semantic similarity assessment: An intrinsic information content-based approach
High precision post-processing framework for industrial computed tomography detection
A fuzzy-HAZOP/ant colony system methodology to identify combined fire, explosion, and toxic release risk in the process industries
Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net
Real-time abnormality detection and classification in diesel engine operations with convolutional neural network
Decision-making on the selection of lean tools using fuzzy QFD and FMEA approach in the manufacturing industry
Chaotic binary Group Search Optimizer for feature selection
On the intra-subject similarity of hand vein patterns in biometric recognition
Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering
Multi granularity based label propagation with active learning for semi-supervised classification
A synthetic datasets based instance segmentation network for High-throughput soybean pods phenotype investigation
Comprehensive learning Harris hawks-equilibrium optimization with terminal replacement mechanism for constrained optimization problems
POPTric: Pathway-based Order Preserving Triclustering for gene sample time data analysis
Two-tailed hypothesis testing for the median with fuzzy categories applied to the detection of health risks
Noise-suppressing zeroing neural network for online solving time-varying matrix square roots problems: A control-theoretic approach
Tracking knowledge proficiency of students with calibrated Q-matrix
Automatic self-reconstruction model for radio map in Wi-Fi fingerprinting
Deep Convolutional Neural Network Based Eye States Classification Using Ear-EEG
