A three-way decision approach with S-shaped utility function under Pythagorean fuzzy information
Forecasting cryptocurrencies prices using data driven level set fuzzy models
sEMG time–frequency features for hand movements classification
Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook’s prophet framework for stock market prediction: An application in Indian context
Efficient high-utility occupancy itemset mining algorithm on massive data
A new Takagi-Sugeno-Kang model-based stabilizing explicit MPC formulation: An experimental case study with implementation embedded in a PLC
From Neighbors to Partners: A quantum game model for analyzing collaborative environmental governance in China
PDConv: Rigid transformation invariant convolution for 3D point clouds
Path-scan: A novel clustering algorithm based on core points and connexity
Golden-Sine dynamic marine predator algorithm for addressing engineering design optimization
Model interpretability of financial fraud detection by group SHAP
Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach
Double embedding-transfer-based multi-view spectral clustering
Development of a new asset liability Management model with liquidity and inflation risks based on the Lower Partial Moment
Solving fuzzy robust facility layout problem equipped with cranes using MPS algorithm and modified NSGA-II
Evidential link prediction by exploiting the applicability of similarity indexes to nodes
Data-driven transmit weight matrix design method for target detection of the TS-FDA-MIMO radar
Transition Information Enhanced Disentangled Graph Neural Networks for session-based recommendation
A multi-echelon fish closed-loop supply chain network problem with carbon emission and traceability
ObfSec: Measuring the security of obfuscations from a testing perspective
Large scale analysis of open MOOC reviews to support learners’ course selection
A novel routing protocol based on grey wolf optimization and Q learning for wireless body area network
A document analysis deep learning regression model for initial coin offerings success prediction
A semantic matching approach addressing multidimensional representations for web service discovery
Copula-based scenario generation for urban traffic models
A novel initialization method of fixed point continuation for recommendation systems
Visual inspection of fault type and zone prediction in electrical grids using interpretable spectrogram-based CNN modeling
Predicting long-term stock movements with fused textual features of Chinese research reports
ViXNet: Vision Transformer with Xception Network for deepfakes based video and image forgery detection
GeoClust: Feature engineering based framework for location-sensitive disaster event detection using AHP-TOPSIS
Remora whale optimization-based hybrid deep learning for network intrusion detection using CNN features
Sequence neural network for recommendation with multi-feature fusion
Multi-objective sparrow search algorithm: A novel algorithm for solving complex multi-objective optimisation problems
HetTreeSum: A Heterogeneous Tree Structure-based Extractive Summarization Model for Scientific Papers
Passive learning to address nonstationarity in virtual flow metering applications
Waveguide quality inspection in quantum cascade lasers: A capsule neural network approach
Inter-patient ECG classification with i-vector based unsupervised patient adaptation
Improving multi-step ahead tourism demand forecasting: A strategy-driven approach
Energy-constrained multi-visit TSP with multiple drones considering non-customer rendezvous locations
FacialSCDnet: A deep learning approach for the estimation of subject-to-camera distance in facial photographs
DemoHash: Hashtag recommendation based on user demographic information
Machine learning approaches for non-intrusive home absence detection based on appliance electrical use
A novel fractional structural adaptive grey Chebyshev polynomial Bernoulli model and its application in forecasting renewable energy production of China
Introducing attentive neural networks into unconventional oil and gas violation analysis and emergency response system
Session-based recommendation with time-aware neural attention network
Evaluating time series encoding techniques for Predictive Maintenance
GPDS: A multi-agent deep reinforcement learning game for anti-jamming secure computing in MEC network
Individualized diagnosis of preclinical Alzheimer’s Disease using deep neural networks
A machine learning framework to predict kidney graft failure with class imbalance using Red Deer algorithm
An embedding and interactions learning approach for ID feature in deep recommender system
Hotel recommendation algorithms based on online reviews and probabilistic linguistic term sets
Online public opinion prediction based on a novel seasonal grey decomposition and ensemble model
Application-specific clustering in wireless sensor networks using combined fuzzy firefly algorithm and random forest
UnfairGAN: An enhanced generative adversarial network for raindrop removal from a single image
Market manipulation detection: A systematic literature review
Systematic review of the “semantic network” definitions
Forecast daily tourist volumes during the epidemic period using COVID-19 data, search engine data and weather data
Evolutionary ensemble generative adversarial learning for identifying terrorists among high-speed rail passengers
Incomplete multi-view clustering via virtual-label guided matrix factorization
A new comprehensive monitoring and diagnostic approach for early detection of mechanical degradation in helicopter transmission systems
Intuitionistic fuzzy TOPSIS for non-linear multi-objective transportation and manufacturing problem
Integrate deep learning and physically-based models for multi-step-ahead microclimate forecasting
An end-to-end framework for information extraction from Italian resumes
Systematic operations of Massive MIMO for Internet of Things networks
Text line segmentation from struck-out handwritten document images
Bidirectional Long Short-Term Memory with Temporal Dense Sampling for human action recognition
Intelligent generative structural design method for shear wall building based on “fused-text-image-to-image” generative adversarial networks
Data-driven based multi-objective combustion optimization covering static and dynamic states
A comprehensive decision support system for stock investment decisions
An efficient algorithm for task allocation with the budget constraint
highMLR: An open-source package for R with machine learning for feature selection in high dimensional cancer clinical genome time to event data
An automated lateral flow assay identification framework: Exploring the challenges of a wearable lateral flow assay in mobile application
A new intrusion detection system based on Moth–Flame Optimizer algorithm
A network Data Envelopment Analysis to estimate nations’ efficiency in the fight against SARS-CoV-2
Reliability-based multi-attribute large group decision making under probabilistic linguistic environment
Person re-identification in indoor videos by information fusion using Graph Convolutional Networks
Behaviour analysis of inter-app communication using a lightweight monitoring app for malware detection
Solution path algorithm for twin multi-class support vector machine
Predictive maintenance for critical infrastructure
An active contour model driven by adaptive local pre-fitting energy function based on Jeffreys divergence for image segmentation
An invisible and robust watermarking scheme using convolutional neural networks
Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning
A Bayesian based approach for analyzing customer’s online sales data to identify weights of product attributes
Deep learning for downward longwave radiative flux forecasts in the Arctic
Reasoning with principles
Multi-Channel Man-in-the-Middle attacks against protected Wi-Fi networks: A state of the art review
A data-based opportunity identification engine for collaborative freight logistics based on a trailer capacity graph
Comment recommendation based on graph bidirectional aggregation networks
Context-aware incremental clustering of alerts in monitoring systems
Non-contact weight estimation system for fish based on instance segmentation
A dynamically consistent approximation for an epidemic model with fuzzy parameters
Social media analysis by innovative hybrid algorithms with label propagation
An asymmetric bisquare regression for mixed cyberattack-resilient load forecasting
Analysis of financial pressure impacts on the health care industry with an explainable machine learning method: China versus the USA
Measuring latent combinational novelty of technology
Feature engineering to detect fraud using healthcare claims data
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm
DHF-Net: A hierarchical feature interactive fusion network for dialogue emotion recognition
Strategic response for ease of doing business using case-based reasoning
Linear control policies for online vehicle relocation in shared mobility systems
