A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based preventive maintenance
Fire images classification based on a handcraft approach
An improved feature selection method for classification on incomplete data: Non-negative latent factor-incorporated duplicate MIC
Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection
Learning salient self-representation for image recognition via orthogonal transformation
A hybrid neuro-experimental decision support system to classify overconfidence and performance in a simulated bubble using a passive BCI
Fast incremental learning by transfer learning and hierarchical sequencing
Android malware detection based on multi-head squeeze-and-excitation residual network
Deep learning model for doors detection: A contribution for context-awareness recognition of patients with Parkinson’s disease
Artificial Emotional Intelligence: Conventional and deep learning approach
An effectiveness analysis of transfer learning for the concept drift problem in malware detection
A new nonlinear stochastic volatility model with regime switching stochastic mean reversion and its applications to option pricing
A generalized line segmentation method for multi-script handwritten text documents
Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis
Social media-based COVID-19 sentiment classification model using Bi-LSTM
Self-supervised cycle-consistent learning for scale-arbitrary real-world single image super-resolution
An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting
An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to local
A Hybrid Clustered SFLA-PSO algorithm for optimizing the timely and real-time rumor refutations in Online Social Networks
The unified image cryptography algorithm based on finite group
A hybrid deep learning approach for dynamic attitude and position prediction in tunnel construction considering spatio-temporal patterns
Fast & Furious: On the modelling of malware detection as an evolving data stream
Extraction of statistical features for type-2 fuzzy NILM with IoT enabled control in a smart home
Pricing decisions in the closed-loop supply chain network, taking into account the queuing system in production centers
Integrated warehouse assignment and carton configuration optimization using deep clustering-based evolutionary algorithms
A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design
Representation for action recognition with motion vector termed as: SDQIO
A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods
An ensemble credit scoring model based on logistic regression with heterogeneous balancing and weighting effects
Fuzzy AHP approach to evaluate incentive factors of high-tech talent agglomeration
An artificial neural network tool to support the decision making of designers for environmentally conscious product development
Complete fully automatic detection, segmentation and 3D reconstruction of tumor volume for non-small cell lung cancer using YOLOv4 and region-based active contour model
A hybrid recommender system for an online store using a fuzzy expert system
Image captioning for effective use of language models in knowledge-based visual question answering
Multimodal spatiotemporal skeletal kinematic gait feature fusion for vision-based fall detection
Algorithm for visualizing substation areas in electric power systems
WABL method as a universal defuzzifier in the fuzzy gradient boosting regression model
Improvement of tasks scheduling algorithm based on load balancing candidate method under cloud computing environment
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors
An exploration of the key determinants for the application of AI-enabled higher education based on a hybrid Soft-computing technique and a DEMATEL approach
A novel approach to incorporate investor’s preference in fuzzy multi-objective portfolio selection problem using credibility measure
Development of a hybrid computational intelligent model for daily global solar radiation prediction
Developing a conceptual framework for short text categorization using hybrid CNN- LSTM based Caledonian crow optimization
An optimized AdaBoost Multi-class support vector machine for driver behavior monitoring in the advanced driver assistance systems
Impact of external influence on unilateral improvements in the graph model for conflict resolution
Transfer rate prediction at self-service customer support platforms in insurance contact centers
Relational data watermarking resilience to brute force attacks in untrusted environments
Estimation of road surface type from brake pressure pulses of ABS
Link prediction approach combined graph neural network with capsule network
Zeroing neural network with fuzzy parameter for cooperative manner of multiple redundant manipulators
Contourlet and discrete cosine transform based quality guaranteed robust image watermarking method using artificial bee colony algorithm
A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization
Adaptive safety-aware semi-supervised clustering
A model and cooperative co-evolution algorithm for identifying driver pathways based on the integrated data and PPI network
Influence maximization in social networks using transfer learning via graph-based LSTM
Fractal graph convolutional network with MLP-mixer based multi-path feature fusion for classification of histopathological images
Competency model for international engineering project manager through MADM method: The Chinese context
Online transfer learning with partial feedback
A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images
Video violence recognition and localization using a semi-supervised hard attention model
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks
MBTFCN: A novel modular fully convolutional network for MRI brain tumor multi-classification
An introduction to grey influence analysis (GINA): Applications to causal modelling in marketing and supply chain research
Instance difficulty-based noise correction for crowdsourcing
Topic model for personalized end-to-end task-oriented dialogue
A variant SDDP approach for periodic-review approximately optimal pricing of a slow-moving a item in a duopoly under price protection with end-of-life return and retail fixed markdown policy
Understanding conflict origin and dynamics on Twitter: A real-time detection system
A multi-stage heuristic algorithm based on task grouping for vehicle routing problem with energy constraint in disasters
TAttMSRecNet:Triplet-attention and multiscale reconstruction network for band selection in hyperspectral images
An improved risk prioritization method for propulsion system based on heterogeneous information and PageRank algorithm
An improved flood forecasting system with cluster based visualization and analyzing using GK-ANFIS and CGDNN
Ontology based package design in fresh E-Commerce logistics
TSIFIM: A three-stage iterative framework for influence maximization in complex networks
Learning knowledge graph embedding with a dual-attention embedding network
Forecasting crude oil risk: A multiscale bidirectional generative adversarial network based approach
Gaussian conditional random fields for classification
A multiple association-based unsupervised feature selection algorithm for mixed data sets
Two-sided matching model considering multi-information fusion of stakeholders
An incremental type-2 fuzzy classifier for stock trend prediction
A Bayesian-driven Monte Carlo approach for managing construction schedule risks of infrastructures under uncertainty
Next-basket prediction in a high-dimensional setting using gated recurrent units
A novel flexible feature extraction algorithm for Spanish tweet sentiment analysis based on the context of words
Multi-scale GAN with transformer for surface defect inspection of IC metal packages
