Editorial Board
An adaptive artificial bee colony for unrelated parallel machine scheduling with additional resource and maintenance
Cross-document attention-based gated fusion network for automated medical licensing exam
Character-level HyperNetworks for Hate Speech Detection
SAR data applications in earth observation: An overview
Grey wolf optimizer based on Aquila exploration method
Multi-interaction fusion collaborative filtering for social recommendation
An innovative RPL objective function for broad range of IoT domains utilizing fuzzy logic and multiple metrics
Innovative service model of information services based on the sustainability balanced scorecard: Applied integration of the fuzzy Delphi method, Kano model, and TRIZ
Predictive self-organizing neural networks for in-home detection of Mild Cognitive Impairment
Estimating the degree of conflict in speech by employing Bag-of-Audio-Words and Fisher Vectors
An integrated multicriteria group decision making methodology for property concealment risk assessment under Z-number environment
A stock time series forecasting approach incorporating candlestick patterns and sequence similarity
An improved categorical cross entropy for remote sensing image classification based on noisy labels
Efficient fall detection in four directions based on smart insoles and RDAE-LSTM model
Solving the reliability-oriented generalized assignment problem by Lagrangian relaxation and Alternating Direction Method of Multipliers
A matrix-cube-based estimation of distribution algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times
Multiobjective optimization of skim milk microfiltration based on expert knowledge
Text proposals with location-awareness-attention network for arbitrarily shaped scene text detection and recognition
Providing recommendations for communities of learners in MOOCs ecosystems
DRGCNN: Dynamic region graph convolutional neural network for point clouds
Benchmarking Answer Set Programming systems for resource allocation in business processes
A dynamic neighborhood balancing-based multi-objective particle swarm optimization for multi-modal problems
An efficient multitask neural network for face alignment, head pose estimation and face tracking
Flight delay prediction from spatial and temporal perspective
An enterprise default discriminant model based on optimal misjudgment loss ratio
Modified fuzzy regression functions with a noise cluster against outlier contamination
An application for the classification of egg quality and haugh unit based on characteristic egg features using machine learning models
Using gravity model to make store closing decisions: A data driven approach
Mechanism design for data reliability improvement through network-based reasoning model
Do road users play Nash Equilibrium? A comparison between Nash and Logistic stochastic Equilibriums for multiagent modeling of road user interactions in shared spaces
Linear and nonlinear framework for interval-valued PM2.5 concentration forecasting based on multi-factor interval division strategy and bivariate empirical mode decomposition
Summarization, simplification, and generation: The case of patents
A novel intelligent fault diagnosis method of rotating machinery based on signal-to-image mapping and deep Gabor convolutional adaptive pooling network
An adaptive large neighborhood search heuristic for the flying sidekick traveling salesman problem with multiple drops
Socially aware fuzzy vehicle routing problem: A topic modeling based approach for driver well-being
Neural network foreign exchange trading system using CCS-IRS basis: Empirical evidence from Korea
A novel multi-satellite and multi-task scheduling method based on task network graph aggregation
Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic
Efficient decoupling-assisted evolutionary/metaheuristic framework for expensive reliability-based design optimization problems
Adopting a dendritic neural model for predicting stock price index movement
An ensemble framework based on multivariate statistical analysis for process monitoring
Optimal foraging algorithm with direction prediction and Gaussian oscillation for constrained optimization problems
Quantum entanglement inspired hard constraint handling for operations engineering optimization with an application to airport shift planning
A theme evolution and knowledge trajectory study in AHP using science mapping and main path analysis
A survey of state-of-the-art on visual SLAM
A decision support system for available parking slots on the roadsides in urban areas
Leukocytes Image Classification Using Optimized Convolutional Neural Networks
Functional characterization of unknown protein sequences using Neuro-Fuzzy based machine learning approach and sequence augmented feature
Formation control for UAVs using a Flux Guided approach
Image encryption scheme based on blind signature and an improved Lorenz system
A novel short receptive field based dilated causal convolutional network integrated with Bidirectional LSTM for short-term load forecasting
Modeling and tagging of time sequence signals in the milling process based on an improved hidden semi-Markov model
A new deep neural network framework with multivariate time series for two-phase flow pattern identification
Dual-Channel and Hierarchical Graph Convolutional Networks for document-level relation extraction
Deep Multi-Similarity Hashing with semantic-aware preservation for multi-label image retrieval
Spectral knowledge-based regression for laser-induced breakdown spectroscopy quantitative analysis
Prediction of well performance in SACROC field using stacked Long Short-Term Memory (LSTM) network
Local ternary pattern based multi-directional guided mixed mask (MDGMM-LTP) for texture and material classification
The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems
Secure consensus switching control for multiagent system under abnormal deception attacks and its application to unmanned surface vehicle clusters
Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics
A survey on teaching workplace skills to construction robots
A meta-evolutionary selection of constituents in ensemble differential evolution algorithm
Ultra-lightweight face activation for dynamic vision sensor with convolutional filter-level fusion using facial landmarks
A computational cognitive model of the Iowa Gambling Task for finely characterizing decision making in methamphetamine users
Exploiting domain transferability for collaborative inter-level domain adaptive object detection
Multi-criteria decision making of water resource management problem (in Agriculture field, Purulia district) based on possibility measures under generalized single valued non-linear bipolar neutrosophic environment
A neutral cross-efficiency measurement for general parallel production system
Mobile-lizing continuance intention with the mobile expectation-confirmation model: An SEM-ANN-NCA approach
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
Multiobjective Model Predictive Control for portfolio optimization with cardinality constraint
Towards remote monitoring of dynamic arm supports for individuals with Duchenne muscular dystrophy using 3D accelerometry
A Faster R-CNN and recurrent neural network based approach of gait recognition with and without carried objects
Indoor scenario-based UWB anchor placement optimization method for indoor localization
Diversifying dynamic difficulty adjustment agent by integrating player state models into Monte-Carlo tree search
Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations
A knowledge-based method for tool path planning of large-sized parts
Tailored text augmentation for sentiment analysis
A Hereditary Attentive Template-based Approach for Complex Knowledge Base Question Answering Systems
Physicochemical analysis of the age of handwritten inscriptions on documents: Trends and prospects
A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem
Online learning of windmill time series using Long Short-term Cognitive Networks
