yusuke1997/dblp-id-title huggingface dataset:
Model reference control by recurrent neural network built with paraconsistent neurons for trajectory tracking of a rotary inverted pendulum
Social relationships classification using social contextual features and SVDD-based metric learning
Topic-level sentiment analysis of social media data using deep learning
A multi-objective chimp optimization algorithm for seismicity de-clustering
A spatiotemporal convolution recurrent neural network for pixel-level peripapillary atrophy prediction using sequential fundus images
Differential evolution based soft optimization to attenuate vane-rotor shock interaction in high-pressure turbines
A synergistic oversampling technique with differential evolution and safe level synthetic minority oversampling
Rough membership function based illumination classifier for illumination invariant face recognition
Analysis of high-dimensional genomic data employing a novel bio-inspired algorithm
An approach using particle swarm optimization and bottleneck heuristic to solve hybrid flow shop scheduling problem
Fuzzy lattice classifier and its application to bearing fault diagnosis
Design element extraction of plantar pressure imaging employing meta-learning-based graphic convolutional neural networks
Pre-trained ensemble model for identification of emotion during COVID-19 based on emergency response support system dataset
Semi-supervised 3D object recognition through CNN labeling
Intelligent Garbage Can Decision-Making Model Evolution Algorithm for optimization of structural topology of plane trusses
Tool wear assessment based on type-2 fuzzy uncertainty estimation on acoustic emission
Advanced backtracking search optimization algorithm for a new joint replenishment problem under trade credit with grouping constraint
Deep incremental random vector functional-link network: A non-iterative constructive sketch via greedy feature learning
A binary particle swarm optimization for continuum structural topology optimization
A neural network with strong interpretability for solving optimization problems
Gene expression programming to predict the discharge coefficient in rectangular side weirs
Knowledge graph-guided and dependency distance enhanced multi-graph networks for aspect-based sentiment analysis
Protection of medical images and patient related information in healthcare: Using an intelligent and reversible watermarking technique
A data-driven co-evolutionary exploration algorithm for computationally expensive constrained multi-objective problems
Convergence analysis of BP neural networks via sparse response regularization
An extended Pythagorean fuzzy complex proportional assessment approach with new entropy and score function: Application in pharmacological therapy selection for type 2 diabetes
Learning a taxonomy from a set of text documents
An adaptive framework against android privilege escalation threats using deep learning and semi-supervised approaches
Fast terminal sliding mode control design for position control of induction motors using adaptive quantum neural networks
Similarity metrics vs human judgment of similarity for binary data: Which is best to predict typicality?
Chaos control of new Mathieu-van der Pol systems by fuzzy logic constant controllers
Advanced sensitivity analysis of the fuzzy assignment problem
A negative survey based privacy preservation method for topology of social networks
Attitude control for hypersonic reentry vehicles: An efficient deep reinforcement learning method
NMFCDA: Combining randomization-based neural network with non-negative matrix factorization for predicting CircRNA-disease association
An adaptive fault detector strategy for scientific workflow scheduling based on improved differential evolution algorithm in cloud
The granular extension of Sugeno-type fuzzy models based on optimal allocation of information granularity and its application to forecasting of time series
A modified support vector regression: Integrated selection of training subset and model
An ant colony optimization algorithm for the bi-objective shortest path problem
Severity assessment of chronic obstructive pulmonary disease based on hesitant fuzzy linguistic COPRAS method
An ant colony algorithm for solving fixed destination multi-depot multiple traveling salesmen problems
Digital redesign of uncertain interval systems based on extremal gain/phase margins via a hybrid particle swarm optimizer
Generalized sparse radial basis function networks for multi-classification problems
Fuzzy Support Vector Machine for bankruptcy prediction
An expert model for self-care problems classification using probabilistic neural network and feature selection approach
Multi-step wind speed forecasting based on secondary decomposition algorithm and optimized back propagation neural network
Fusion of palm-phalanges print with palmprint and dorsal hand vein
Supervisory adaptive dynamic RBF-based neural-fuzzy control system design for unknown nonlinear systems
Redistribution of humanitarian items in disaster management multi-period location-allocation problem under type-2 neutrosophic environment
Reconfiguration with DG location and capacity optimization using crossover mutation based Harris Hawk Optimization algorithm (CMBHHO)
Neutrosophic CEBOM-MACONT model for sustainable management of end-of-life tires
Integrated civilian-military pre-positioning of emergency supplies: A multiobjective optimization approach
An intelligent navigator for seamless INS/GPS integrated land vehicle navigation applications
The two-echelon multi-trip vehicle routing problem with dynamic satellites for crop harvesting and transportation
A Kriging-assisted multiobjective evolutionary algorithm
Granular data imputation: A framework of Granular Computing
Embedded support vector regression on Cerebellar Model Articulation Controller with Gaussian noise
Robust global and local fuzzy energy based active contour for image segmentation
An integrated FBWM-FCM-DEMATEL model to assess and manage the sustainability in the supply chain: A three-stage model based on the consumers' point of view
A niching-based nondominated sorting for multimodal multiobjective optimization with local pareto fronts
An evolutionary computation approach for optimizing connectivity in disaster response scenarios
A novel valuation pruning optimization fuzzing test model based on mutation tree for industrial control systems
Food package suggestion system based on multi-objective optimization: A case study on a real-world restaurant
Dynamic clustering with improved binary artificial bee colony algorithm
A hybrid intelligent system for fault detection and sensor fusion
Micro-expression recognition using 3D DenseNet fused Squeeze-and-Excitation Networks
An efficient mathematical-based optimization method to optimize multi-hydropower operating rules
A dynamic simulation-optimization model for adaptive management of urban water distribution system contamination threats
Delineation and diagnosis of brain tumors from post contrast T1-weighted MR images using rough granular computing and random forest
Immunity-based autonomous guided vehicles control
Fuzzy inference-based fall detection using kinect and body-worn accelerometer
Effective latent hierarchical feature fusion in multiple instance learning for Whole Slide Image classification
Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression
Sentiment analysis on a low-resource language dataset using multimodal representation learning and cross-lingual transfer learning
0-1 Linear programming methods for optimal normal and pseudo parameter reductions of soft sets
Learning the parameters of an outranking-based sorting model with characteristic class profiles from large sets of assignment examples
An adaptive ant colony optimization algorithm for constructing cognitive diagnosis tests
5G/5G+ network management employing AI-based continuous deployment
Special Issue: Evolving Soft Computing Techniques and Applications
Special issue on granular soft computing for pattern recognition and mining
A fast and efficient two-phase sequential learning algorithm for spatial architecture neural network
On consensus models with utility preferences and limited budget
Applying deep learning algorithms to enhance simulations of large-scale groundwater flow in IoTs
Adaptive protection scheme for microgrids based on SOM clustering technique
Multi-Level Transfer Learning using Incremental Granularities for environmental sound classification and detection
Community mining using three closely joint techniques based on community mutual membership and refinement strategy
Broad collaborative filtering with adjusted cosine similarity by fusing matrix completion
Machine learning applications in detecting rip channels from images
Optimal approximation of linear systems using Taguchi-sliding-based differential evolution algorithm
Improvement of RBF neural networks using Fuzzy-OSD algorithm in an online radar pulse classification system
A centroid opposition-based coral reefs algorithm for solving an automated guided vehicle routing problem with a recharging constraint
A fuzzy-based medical system for pattern mining in a distributed environment: Application to diagnostic and co-morbidity
A novel particle swarm optimization algorithm with adaptive inertia weight
Collaborative optimization decision making of cement grinding process operational indicators considering dual dynamic problem
Hybridizing bat algorithm with artificial bee colony for combined heat and power economic dispatch
Secured loadability enhancement with TCSC in transmission system using computational intelligence techniques for pool and hybrid model
Clear and smooth path planning
MSMT-Net: Multi-scale multi-task network for capsular edge recognition and instrument segmentation of cataract surgery
Optimization of pick-and-place in die attach process using a genetic algorithm
Air quality prediction by neuro-fuzzy modeling approach
A multi-objective robust evolutionary optimization approach applied to the multivariate helical milling process of super duplex steel
Applied Soft Computing - Foreword
PipeTransUNet: CNN and Transformer fusion network for semantic segmentation and severity quantification of multiple sewer pipe defects
Fast calculation for approximations in Dominance-based Rough Set Approach using Dual Information Granule
Solving a stochastic hierarchical scheduling problem by VNS-based metaheuristic with locally assisted algorithms
Multi-team perturbation guiding Jaya algorithm for optimization of wind farm layout
A financial statement fraud model based on synthesized attribute selection and a dataset with missing values and imbalanced classes
Charged system search for optimal design of frame structures
DBCAMM: A novel density based clustering algorithm via using the Mahalanobis metric
Contrastive Learning with Frequency Domain for Sequential Recommendation
Improved Z-number based Bayesian network modelling to predict cyber-attack risk for maritime autonomous surface ship (MASS)
Logistics provider selection for omni-channel environment with fuzzy axiomatic design and extended regret theory
A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem
Optimization of multi-product economic production quantity model with partial backordering and physical constraints: SQP, SFS, SA, and WCA
Data-driven product design evaluation method based on multi-stage artificial neural network
Attention-driven multimodal alignment for long-term action quality assessment
Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification
Generative methods and the design process: A design tool for conceptual settlement planning
Multi-objective optimization of expensive electromagnetic simulation models
An advanced stratified decision-making strategy to explore viable plastic waste-to-energy method: A step towards sustainable dumped wastes management
A memetic algorithm applied to the design of water distribution networks
A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting
Spectral entropy feature subset selection using SEPCOR to detect alcoholic impact on gamma sub band visual event related potentials of multichannel electroencephalograms (EEG)
Developing the structural analysis considering fuzzy performance levels
Parallel extremal optimization in processor load balancing for distributed applications
An Improved Decomposition-Based Memetic Algorithm for Multi-Objective Capacitated Arc Routing Problem
ANFIS and metaheuristics for double orbit retrial queue with complete and working vacations
Special issue on recent advances in soft set decision making: Theories and applications
A privacy-preserving aggregation scheme based on immunological negative surveys for smart meters
Tea leaf disease detection using UAV remote sensing images based on low-light aware and spatial reconstruction
Temporal fusion point-interval forecasting: A comprehensive approach for financial time series prediction
Self-attention and asymmetric multi-layer perceptron-gated recurrent unit blocks for protein secondary structure prediction
RUL prediction for rolling bearings based on Convolutional Autoencoder and status degradation model
Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system
Solving molecular flexible docking problems with metaheuristics: A comparative study
Advanced nonlinear optimization of low- and high-resolution medical images using adaptive Deep Spearman Correlation Analysis (D-SCA) for pattern sequence recognition
A novel multi-focus image fusion by combining simplified very deep convolutional networks and patch-based sequential reconstruction strategy
A fuzzy AHP approach to personnel selection problem
Fault diagnosis based on the quantification of the fault features in a rotary machine
Using computational intelligence to forecast carbon prices
Learning-based EM clustering for data on the unit hypersphere with application to exoplanet data
A memetic algorithm with novel semi-constructive evolution operators for permutation flowshop scheduling problem
An interval space reducing method for constrained problems with particle swarm optimization
An on-line variable fidelity metamodel assisted Multi-objective Genetic Algorithm for engineering design optimization
Energy centric reputation index and fuzzy-based clustering for wireless sensor networks
Self-supervised dual-layer 2D normalizing flow method for industrial anomaly detection
Uncertain goal programming models for bicriteria solid transportation problem
Integrated personalized decision method with q-rung orthopair fuzzy data for underground natural gas storage site decisions
Semi-supervised matrixized least squares support vector machine
The network loan risk prediction model based on Convolutional neural network and Stacking fusion model
A one-class classification decision tree based on kernel density estimation
User reviews: Sentiment analysis using lexicon integrated two-channel CNN-LSTM​ family models
Multi Hive Artificial Bee Colony Programming for high dimensional symbolic regression with feature selection
Comparison of neural classifiers for vehicles gear estimation
Radial basis function networks with hybrid learning for system identification with outliers
Evolutionary fuzzy SVR modeling of weld residual stress
High-density cluster core-based k-means clustering with an unknown number of clusters
H-max distance measure of intuitionistic fuzzy sets in decision making
Detection of stator winding fault in induction motor using fuzzy logic
Importance analysis of decision making factors based on fuzzy decision trees
Deep transfer with minority data augmentation for imbalanced breast cancer dataset
Service life of the reinforced concrete bridge deck in corrosive environments: A soft computing system
Space-distributed machine learning based on climate lag effect: Dynamic prediction of tuberculosis
Risk assessment in control of fractional-order coronary artery system in the presence of external disturbance with different proposed controllers
Fine-grained object detection method using attention mechanism and its application in coal-gangue detection
Explainable AI-driven machine learning for heart disease detection using ECG signal
UL-Phys:Ultra-lightweight remote physiological measurement in facial videos based on unsupervised learning
A novel method for alignment of two nucleic acid sequences using ant colony optimization and genetic algorithms
Efficient crowd density estimation with edge intelligence via structural reparameterization and knowledge transfer
Separable fuzzy soft sets and decision making with positive and negative attributes
IM 2 DCA: Immune mechanism based multipath decoupling connectivity algorithm with fault tolerance under coverage optimization in wireless sensor networks
Pinball transfer support matrix machine for roller bearing fault diagnosis under limited annotation data
Optimized clinical segmentation of retinal blood vessels by using combination of adaptive filtering, fuzzy entropy and skeletonization
Improved optimal harmonic reduction method in PWM AC-AC converter using modified Biogeography-Based Optimization Algorithm
Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment
A fine-grained approach for visual interpretability of convolutional neural networks
Multi-granularity relabeled under-sampling algorithm for imbalanced data
Fisher regularized discriminative broad learning system for visual classification
The combined social engineering particle swarm optimization for real-world engineering problems: A case study of model-based structural health monitoring
An automated machine-learning-assisted stochastic-fuzzy multi-criteria decision making tool: Addressing record-to-record variability in seismic design
De-noising of salt and pepper noise using deep learning-based alpha-guided grey wolf optimization
Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond
Data-driven quantification of public-private partnership experience levels under uncertainty with Bayesian hierarchical model
Arm motion analysis using genetic algorithm for rehabilitation and healthcare
Efficient point cloud representation learning with a recurrent hierarchical framework
DPAA: A robust and adaptive auction-based algorithm for position-dependent resource allocation
BCH coding and intelligent watermark embedding: Employing both frequency and strength selection
Enhanced artificial bee colony algorithm through differential evolution
Fuzzy fault tree analysis of chlorine gas release hazard in Chlor-Alkali industry using α-cut interval-based similarity aggregation method
Low-cost architecture performance evaluation strategy based on pixel difference degree contrast measurement
Local feature selection based on artificial immune system for classification
Feature selection based on improved binary global harmony search for data classification
Optimization of a deteriorated two-warehouse inventory problem with all-unit discount and shortages via tournament differential evolution
A data-driven approach to simultaneous fault detection and diagnosis in data centers
Evaluation of methods for estimating aquifer hydraulic parameters
An efficient learning based RFMFA technique for islanding detection scheme in distributed generation systems
Incipient fault detection in induction machine stator-winding using a fuzzy-Bayesian change point detection approach
Predicting stock trend using an integrated term frequency-inverse document frequency-based feature weight matrix with neural networks
A lightweight multi-sensory field-based dual-feature fusion residual network for bird song recognition
Parallel random matrix particle swarm optimization scheduling algorithms with budget constraints on cloud computing systems
An interactive dual-branch network for hard palate segmentation of the oral cavity from CBCT images
Adaptive probabilistic neural network based edge data center authentication for secure load balancing in fog computing
Variable neighborhood search for the discounted {0-1} knapsack problem
A diversity-enhanced memetic algorithm for solving electric vehicle routing problems with time windows and mixed backhauls
Interval type-3 fuzzy set for rank-level fusion using multiple feature vectors: Theory and application to face recognition
Topology optimization techniques for mobile robot path planning
Monocular image depth prediction without depth sensors: An unsupervised learning method
A simulation based heuristic discrete particle swarm algorithm for generating integrated production-distribution plan
Deep learning-based photoplethysmography biometric authentication for continuous user verification
Swarm ascending: Swarm intelligence-based exemplar group detection for robust clustering
New empirical nonparametric kernels for support vector machine classification
Artificial algae algorithm (AAA) for nonlinear global optimization
Three-way clustering: Foundations, survey and challenges
A novel integrated soft sensing model for online cement clinker quality monitoring based on fuzzy fine-grained classification
Dual-stage and dual-population cooperative evolutionary algorithm for solving constrained multiobjective problems
Support vector machine regression to predict gas diffusion coefficient of biochar-amended soil
Miner Selection in an Internet of Medical Things Framework using Fuzzy Logic
Applying particle swarm optimization algorithm-based collaborative filtering recommender system considering rating and review
A memetic algorithm for the re-entrant permutation flowshop scheduling problem to minimize the makespan
Inverse distance weight-assisted particle swarm optimized indoor localization
Calculating fuzzy inverse matrix using fuzzy linear equation system
PRRAT_AM - An advanced ant-miner to extract accurate and comprehensible classification rules
Experimental evaluation of ensemble classifiers for imbalance in Big Data
An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market
Complexity analysis of the biomedical signal using fuzzy entropy measurement
A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments
Ensemble learning prediction model for lithium-ion battery remaining useful life based on embedded feature selection
Semi-supervised feature contrast incremental learning framework for bearing fault diagnosis with limited labeled samples
Development of artificial neural network models for the performance prediction of an inclined plate seed metering device
Handling expensive multi-objective optimization problems with a cluster-based neighborhood regression model
Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning
Enhanced crow search algorithm for optimum design of structures
A distributed flexible job shop scheduling problem considering rush order insertion using a two-stage memetic algorithm
Ensemble particle swarm optimizer
A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning
VT-PINN:Variable transformation improves physics-informed neural networks for approximating partial differential equations
Deep unLSTM network : Features with memory information extracted from unlabeled data and their application on industrial unsupervised industrial fault detection
Cryptography with cellular automata
A method for performance analysis of a genetic algorithm applied to the problem of fuel consumption minimization for heavy-duty vehicles
Clonal selection algorithm for energy minimization in software defined networks
Locality sensitive hashing-driven multifactorial evolutionary algorithms for multitask optimization
Automatic selection of fittest energy demand predictors based on cyber swarm optimization and reinforcement learning
Incorporating view location information for multi-view multi-label learning