yusuke1997/dblp-id-title huggingface dataset:
Two-level evolutionary algorithm for discovering relations between nodes' features in a complex network
Multi-criteria group emergency decision-making method considering knowledge granularity
Society-based Grey Wolf Optimizer for large scale Combined Heat and Power Economic Dispatch problem considering power losses
Optimum geometrical pattern and design of real-size diagrid structures using accelerated fuzzy-genetic algorithm with bilinear membership function
Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model
Positive or negative solutions to first-order fully fuzzy linear differential equations under generalized differentiability
An Adaptive Bumble Bees Mating Optimization algorithm
A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices
Dynamic data mining technique for rules extraction in a process of battery charging
SLBRS: Network Virus Propagation Model based on Safety Entropy
Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF)
Common neighbor-aware link weight prediction with simplified graph transformer
Optimizing evacuation path planning in high-rise building fires using an improved ant colony algorithm and dynamic window approach under smoke control scenarios
Comparing the performance of the genetic and local search algorithms for solving the satisfiability problems
Multi-constraint multi-objective QoS aware routing heuristics for query driven sensor networks using fuzzy soft sets
Flexible job shop scheduling problem with reconfigurable machine tools: An improved differential evolution algorithm
FMCF: A fusing multiple code features approach based on Transformer for Solidity smart contracts source code summarization
Beverage manufacturing demand forecasting system driven by multi-stage machine learning model pool
Adaptive fuzzy entropy optimization with opposition-based archimedes search for robust multilevel image segmentation
Chaotic dual-feature graph convolutional network (CDF-GCN) for traffic speed forecasting
On the efficiency of the binary flower pollination algorithm: Application on the antenna positioning problem
A multi-branch and multi-scale feature fusion underwater image enhancement algorithm for diverse water environments
Fault diagnosis of rolling bearing based on Laplacian regularization
FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer's disease using the sagittal plane of MRI scans
Multi-objectivization inspired metaheuristics for the sum-of-the-parts combinatorial optimization problems
Audiovisual-cognition-inspired network with explainability for oil price forecasting
Post-surgical fall detection by exploiting the 5 G C-Band technology for eHealth paradigm
Parametric identification of seismic isolators using differential evolution and particle swarm optimization
SMAA-based model for decision aiding using regret theory in discrete Z-number context
Modified water cycle algorithm for optimal direction overcurrent relays coordination
Energy based bipolar intuitionistic fuzzy digraph decision-making system in selecting COVID-19 vaccines
Spatial multicriteria sorting with intuitionistic fuzzy entropy for the hospitality sector
An improved group search optimizer with operation of quantum-behaved swarm and its application
Popularity-aware dynamic graph neural collaborative filtering with local-global convergence
Application of machine learning-based surrogate models for urban flood depth modeling in Ho Chi Minh City, Vietnam
Modification of the fish swarm algorithm with particle swarm optimization formulation and communication behavior
Information flow redistribution for diabetic retinopathy multi-lesion segmentation
Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices
Spatial data methods and vague regions: A rough set approach
A memetic algorithm for cardinality-constrained portfolio optimization with transaction costs
Pareto-dominance based adaptive multi-objective optimization for hydrothermal coordinated scheduling with environmental emission
A coordinated strategy for multi-machine power system stability
Adaptive self-correction network for human motion prediction
A method of defuzzification based on the approach of areas' ratio
Graph convolutional networks for enhanced resolution 3D Electrical Capacitance Tomography image reconstruction
Intelligent adaptive optimal control using incremental model-based global dual heuristic programming subject to partial observability
A method for regularization of evolutionary polynomial regression
A hybrid approach to suggest software product line portfolios
Analytical-heuristic modeling and optimization for low-light image enhancement
A differential evolution algorithm combined with linear programming for solving a closed loop facility layout problem
Nature-inspired optimization prey-predator algorithm for soil slope stability analysis with physically informed initial population generation
Corrigendum to "Design of two-layered fractional order fuzzy logic controllers applied to robotic manipulator with variable payload" [Appl. Soft Comput. 47(2016) 565-576]
Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning
Similarity-divergence intuitionistic fuzzy decision using particle swarm optimization
Deadlock-free production using Dempster-Shafer and preset methods in predictive scheduling for multiagent controlled flexible manufacturing systems
Physical programming for preference driven evolutionary multi-objective optimization
Using supervised and one-class automated machine learning for predictive maintenance
A hybrid 'bee(s) algorithm' for solving container loading problems
A hybrid artificial immune system (AIS) model for power aware secure Mobile Ad Hoc Networks (MANETs) routing protocols
Design of multipurpose digital FIR double-band filter using hybrid firefly differential evolution algorithm
An enhanced decision making model for industrial robotic selection using three factors: Positive, abstained, and negative grades of membership
A survey on unsupervised learning for wearable sensor-based activity recognition
Outbreak detection model based on danger theory
Breast cancer intelligent analysis of histopathological data: A systematic review
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification
Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks
Joint segmentation and classification task via adversarial network: Application to HEp-2 cell images
Optimal allocation of information granularity in system modeling through the maximization of information specificity: A development of granular input space
Multiobjective memetic algorithm based on decomposition
Recurrent neural networks-guided vector-valued synchronized key exchange for secure and privacy-preserving communication in Industrial Internet of Things
Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach
A new optimization algorithm for single hidden layer feedforward neural networks
Investigating vesicular selection: A selection operator in in vitro evolution
Surrogate models for high performance control systems in wind-excited tall buildings
Comparison of wavelet families for texture classification by using wavelet packet entropy adaptive network based fuzzy inference system
An on-line learning neural controller for helicopters performing highly nonlinear maneuvers
A new combined model based on multi-objective salp swarm optimization for wind speed forecasting
Evaluating edge artificial intelligence-driven supply chain management platforms using collaborative large-scale fuzzy information fusion
Service-oriented model-based fault prediction and localization for service compositions testing using deep learning techniques
Frequency as identity: A Fourier hypernetwork for spatiotemporal forecasting
Class imbalance learning via a fuzzy total margin based support vector machine
Underwater glider motion parameter generation based on structure-optimized deep belief network and BP neural network
Self-supervised Transformer for 3D point clouds completion and morphology evaluation of granular particle
Deep learning-based restoration of nonlinear motion blurred images for plant classification using multi-spectral images
A variable neighborhood search algorithm for transshipment scheduling of multi products at a single station
The consistency measures and priority weights of hesitant fuzzy linguistic preference relations
Multi-scale SE-residual network with transformer encoder for myocardial infarction classification
A memetic-branch-and-price algorithm with conflict-minimizing selection strategy for bus scheduling problem
Optimising neural network hyperparameters by predicting unseen architectures with learning curve approach
Defining a deep neural network ensemble for identifying fabric colors
Constructing grey prediction models using grey relational analysis and neural networks for magnesium material demand forecasting
Online implementation of an adaptive calibration technique for displacement measurement using LVDT
EmcFIS: Evolutionary multi-criteria Fuzzy Inference System for virtual network function placement and routing
Generalised fuzzy cognitive maps: Considering the time dynamics between a cause and an effect
Joint green dynamic order batching and picker routing problem using PSO with global worst experience
Newspaper article reconstruction using ant colony optimization and bipartite graph
Performance comparison of enhanced PSO and DE variants for dynamic energy/reserve scheduling in multi-zone electricity market
Optimized echo state network for error compensation based on transfer learning
On the convergence and origin bias of the Teaching-Learning-Based-Optimization algorithm
An anti-attack method for emotion categorization from images
An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms
A fast pruning redundant rule method using Galois connection
A historical surrogate model ensemble assisted Bayesian evolutionary optimization algorithm for solving expensive many-objective problems
A multiplicative maximin-based evaluation approach for evolutionary many-objective optimization
A new multi-objective technique for differential fuzzy clustering
A new link prediction model for grain trade networks based on improved variational graph autoencoder and genetic algorithm
Fuzzy-inferenced decisionmaking under uncertainty and incompleteness
Deep learning with local spatiotemporal structure preserving for soft sensor development of complex industrial processes
A multi-objective discrete differential evolution algorithm for energy-efficient two-stage flow shop scheduling under time-of-use electricity tariffs
A negative selection algorithm for classification and reduction of the noise effect
Fire detection and risk assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization
Real-time optimal water allocation for daily hydropower generation from the Vanderkloof dam, South Africa
Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic
Linguistic fuzzy model identification based on PSO with different length of particles
An evolutionary/heuristic-based proof searching framework for interactive theorem prover
BERT-based combination of convolutional and recurrent neural network for indonesian sentiment analysis
Grey wolf optimizer with an enhanced hierarchy and its application to the wireless sensor network coverage optimization problem
Parallel VNS for Bus Terminal Location Problem
Non-linear channel equalization using adaptive MPNN
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling
A combination of spectral graph theory and quantum genetic algorithm to find relevant set of electrodes for motor imagery classification
RaGMAN: A relativistic average generative multi-adversarial network for pansharpening
Deep reinforcement learning with evolutionary algorithm-guided imitation for capacitated vehicle routing problems
The SR-GCWS hybrid algorithm for solving the capacitated vehicle routing problem
GA-based learning for rule identification in fuzzy neural networks
Merging domain ontologies based on the WordNet system and Fuzzy Formal Concept Analysis techniques
Identifying the tool-tissue force in robotic laparoscopic surgery using neuro-evolutionary fuzzy systems and a synchronous self-learning hyper level supervisor
Application of the autocorrelation function to working-day calculation in power management
New peer effect-based approach for service matching in Cloud Manufacturing under uncertain preferences
Indicator & crowding distance-based evolutionary algorithm for combined heat and power economic emission dispatch
Sensor fusion-based exploration in home environments using information, driving and localization gains
Tools for Landscape Analysis of Optimisation Problems in Procedural Content Generation for Games
A novel artificial neural network improves multivariate feature extraction in predicting correlated multivariate time series
Online auto-tuning of multiresonant current controller with nature-inspired optimization algorithms and disturbance in the loop approach
Cooperative relay spectrum sensing for cognitive radio network: Mutated MWOA-SNN approach
Optimal gain scheduling controller design of a pitch-controlled VS-WECS using DE optimization algorithm
Pythagorean fuzzy VIKOR approaches based on TODIM for evaluating internet banking website quality of Ghanaian banking industry
A consensus model to manage the non-cooperative behaviors of individuals in uncertain group decision making problems during the COVID-19 outbreak
Feature-based hesitant fuzzy aggregation method for satisfaction with life scale
A neutrosophic recommender system for medical diagnosis based on algebraic neutrosophic measures
A new approach to formulate fuzzy regression models
An input shaping based active vibration control and adaptive RBF impedance control for suppressing the myospasm in upper-limb rehabilitation
Design and analysis of a spectral clustering equilibrium differential evolution algorithm for linkage dimensional synthesis
Image inpainting for periodic discrete density defects via frequency analysis and an adaptive transformer-GAN network
An joint end-to-end framework for learning with noisy labels
Sample and feature selecting based ensemble learning for imbalanced problems
Automatic data-driven operation and optimization of uncertain misalignment by considering mechanical power transmission performances of spiral bevel and hypoid gears
Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design
Gradient-based Water Cycle Algorithm with evaporation rate applied to chaos suppression
A hybrid evolutionary algorithm for tuning a cloth-simulation model
Ensembles of priority rules for resource constrained project scheduling problem
Towards the dissolution of the sorites paradox
Closed-loop supply chain network design for hazardous products with uncertain demands and returns
A Reinforcement Learning-Artificial Bee Colony algorithm for Flexible Job-shop Scheduling Problem with Lot Streaming
Improved behavior model based on sequential rule mining
Contrastive learning-guided hashing model for artwork image retrieval
The hyperspherical acceleration effect particle swarm optimizer
Comparison of evolutionary and swarm based computational techniques for multilevel color image thresholding
Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management
Status evaluation of provinces affected by COVID-19: A qualitative assessment using fuzzy system
Shelf design and layout of a multi-floor vertical farming tower under uncertainty: A Robust-Hesitant fuzzy approach
An ensemble deep learning network based on 2D convolutional neural network and 1D LSTM with self-attention for bearing fault diagnosis
An improved consensus-based group decision making model with heterogeneous information
Efficient prediction uncertainty quantification in dam behavior monitoring with attention-based sequence-to-sequence learning
Fuzzy-rough assisted refinement of image processing procedure for mammographic risk assessment
Optimal microgrid's protection coordination considering N-1 contingency and optimum relay characteristics
Surrogate-assisted multi-objective covariance matrix adaptation evolution strategies
Application of genetic algorithm for unknown parameter estimations in cylindrical fin
Adaptive dual-network control for modular robots in human-robot interaction
Human-like motion planning of autonomous vehicle based on probabilistic trajectory prediction
A constrained multi-product pricing and inventory control problem
Adaptive learning for single-output complex systems via data augmentation and data type identification
Hybrid Evolutionary Algorithm for job scheduling under machine maintenance
Granular learning for robust vision transformers
Implementation of neuro-fuzzy system with modified high performance genetic algorithm on embedded systems
Automatic localization of image semantic patches for crop disease recognition
A multi-input with multi-function activated weights and structure determination neuronet for classification problems and applications in firm fraud and loan approval
A novel differential evolution based clustering algorithm for wireless sensor networks
Classification with reject option for software defect prediction
Assessment of grapevine variety discrimination using stem hyperspectral data and AdaBoost of random weight neural networks
Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design
A feature selection and ensemble learning based methodology for transformer fault diagnosis
An area-based shape distance measure of time series
Software project portfolio optimization with advanced multiobjective evolutionary algorithms
Self organizing migrating algorithm with quadratic interpolation for solving large scale global optimization problems
Evaluating spiking neural models in the classification of motor imagery EEG signals using short calibration sessions
SRMamba: Mamba for super-resolution of LiDAR point clouds
Non-parametric predictive inference for solving multi-label classification
Enhancing optimal feeder assignment of the multi-head surface mounting machine using genetic algorithms
Multi-objective Grey Wolf Optimizer for improved cervix lesion classification
Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems
AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles
GCNs meet long-tail: Embedding norm bias in GCN-based recommendations
Collaborative filtering via heterogeneous neural networks
Explaining deep learning models for ozone pollution prediction via embedded feature selection
A dynamic graph structure identification method of spatio-temporal correlation in an aluminum electrolysis cell
Convergence analysis of ABC algorithm based on difference model
Robust support vector machine with generalized quantile loss for classification and regression
Long term 5G base station traffic prediction method based on spatial-temporal correlations
A Pareto dominance relation based on reference vectors for evolutionary many-objective optimization
One evolutionary algorithm deceives humans and ten convolutional neural networks trained on ImageNet at image recognition
Intuitionistic fuzzy system for fingerprints authentication
Forgery detection in medical images with distinguished recognition of original and tampered regions using density-based clustering technique
A particle swarm optimization algorithm for optimal car-call allocation in elevator group control systems
Time series clustering based on normal cloud model and complex network
Eligibility traces in an autonomous soccer robot with obstacle avoidance and navigation policy
Development and experimental realization of an adaptive neural-based discrete model predictive direct torque and flux controller for induction motor drive
Multi-frame decision fusion based on evidential association rule mining for target identification
A binary tournament competition algorithm for solving partial differential equation constrained optimization via finite element method
Empirical comparison and evaluation of Artificial Immune Systems in inter-release software fault prediction
A novel feature selection method based on global sensitivity analysis with application in machine learning-based prediction model
Graph-based attention model for predictive analysis in train-bridge systems
Many-Objective Evolutionary Algorithm based on Dominance Degree
Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis
Grid based clustering for satisfiability solving
A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources
A novel soft rough set: Soft rough hemirings and corresponding multicriteria group decision making
A chaos based image encryption and lossless compression algorithm using hash table and Chinese Remainder Theorem
The modified sufficient conditions for echo state property and parameter optimization of leaky integrator echo state network
A decision scheme based on OWA operator for an evaluation programme: an approximate reasoning approach
Distilled large language model-driven dynamic sparse expert activation mechanism
Fault detection and identification spanning multiple processes by integrating PCA with neural network
Mining online reviews for ranking products: A novel method based on multiple classifiers and interval-valued intuitionistic fuzzy TOPSIS
Continuous reinforcement learning to robust fault tolerant control for a class of unknown nonlinear systems
A proposal for direct-ordering gene expression data by self-organising maps
A new weighted rough set framework based classification for Egyptian NeoNatal Jaundice
Combining information from thresholding techniques through an evolutionary Bayesian network algorithm
A hybrid three-way recommendation with demographic data based on intuitionistic neighborhood
Spiral-refraction mutation prairie dog algorithm: Optimization framework for engineering design of interconnected multimachine power system
Memory-based adaptive partitioning (MAP) of search space for the enhancement of convergence in Pareto-based multi-objective evolutionary algorithms
Micro-differential evolution: Diversity enhancement and a comparative study
An efficient constrained multi-population cooperation search algorithm for multi-objective optimization of multireservoir operation
Strategic capacity planning for smart production: Decision modeling under demand uncertainty
Att-Net: Enhanced emotion recognition system using lightweight self-attention module
Texture-aware 3D Gaussian Splatting for sparse view reconstructions
Improved Complex-valued Radial Basis Function (ICRBF) neural networks on multiple crack identification
Skills2Job: A recommender system that encodes job offer embeddings on graph databases
Groutability estimation of grouting processes with cement grouts using Differential Flower Pollination Optimized Support Vector Machine
A multi-objective evolutionary algorithm with constraint-compliant initialization for energy transport and urban logistics in Electric Vehicle Routing
Auto weighted robust dual graph nonnegative matrix factorization for multiview clustering
A hybrid evolutionary programming approach for optimal worst case tolerance design of magnetic devices
Hierarchical Learning Water Cycle Algorithm
Andries P. Engelbrecht (University of Pretoria), Computational Intelligence: An Introduction, John Wiley & Sons Ltd., West Sussex, England, 2002, ISBN 0-470-84870-7