yusuke1997/dblp-id-title huggingface dataset:
Quantum parallel model predictive control for grid-connected solid oxide fuel cells
Enhanced algorithm for high-dimensional data classification
A Stackelberg single-period supply chain inventory model with weighted possibilistic mean values under fuzzy environment
Modelling and simulation of distributed target allocation based on improved NSGA-II in multi-UUV collaborative attack
An optimized convolutional neural network with a novel spherical triangular fuzzy pooling layer for an algorithmic trading model
Error measures for fuzzy linear regression: Monte Carlo simulation approach
GA-ENs: A novel drug-target interactions prediction method by incorporating prior Knowledge Graph into dual Wasserstein Generative Adversarial Network with gradient penalty
Adaptive search space to generate a per-instance genetic algorithm for the permutation flow shop problem
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling
Correlational graph attention-based Long Short-Term Memory network for multivariate time series prediction
Optimizing berth-crane allocation considering tidal effects using chaotic quantum whale optimization algorithm
A design methodology for semi-physical fuzzy models applied to the dynamic characterization of LiFePO 4 batteries
A differential evolution algorithm with intersect mutation operator
Novel metaheuristic hybrid spiral-dynamic bacteria-chemotaxis algorithms for global optimisation
A novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak
A dual-sampling based evolutionary algorithm for large-scale multi-objective optimization
Multi-neighborhood simulated annealing for personalized user project planning
A universal large-scale many-objective optimization framework based on cultural learning
A hybrid algorithm of particle swarm optimization, metropolis criterion and RTS smoother for path planning of UAVs
A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price
Optimization of drop ejection frequency in EHD inkjet printing system using an improved Firefly Algorithm
Corrigendum to "Scheduling software updates for connected cars with limited availability" [Appl. Soft Comput. (2019) 105575]
A binary sparrow search algorithm for feature selection on classification of X-ray security images
Adaptive hybrid control system using a recurrent RBFN-based self-evolving fuzzy-neural-network for PMSM servo drives
MobileNetV2-based deep learning architecture with progressive transfer learning for accurate monkeypox detection
Bi-space Interactive Cooperative Coevolutionary algorithm for large scale black-box optimization
Evolved Extended Kalman Filter for first-order dynamical systems with unknown measurements noise covariance
A software trustworthiness evaluation methodology for cloud services with picture fuzzy information
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm
Enhancing long-tailed software vulnerability type classification via adaptive data augmentation and prompt tuning
A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers
Optimization studies in high speed turning of Ti-6Al-4V
Binary particle swarm optimization (BPSO) based state assignment for area minimization of sequential circuits
Gear fault diagnosis based on Gaussian correlation of vibrations signals and wavelet coefficients
A tabu search based approach for the Heterogeneous Fleet Vehicle Routing Problem with three-dimensional loading constraints
Local feedback strategy for consensus building with probability-hesitant fuzzy preference relations
Evolving granular feedback linearization: Design, analysis, and applications
Evolving priority rules for on-line scheduling of jobs on a single machine with variable capacity over time
A multivariate fuzzy c-means method
Algorithms for interval-valued fuzzy soft sets in stochastic multi-criteria decision making based on regret theory and prospect theory with combined weight
Weighted Random k Satisfiability for k=1, 2 ( r 2SAT) in Discrete Hopfield Neural Network
Developing GAN-boosted Artificial Neural Networks to model the rate of drilling bit penetration
Markov network versus recurrent neural network in forming herd behavior based on sight and simple sound communication
An overview of fuzzy research with bibliometric indicators
Maximum consensus model with individual tolerance and mixed DEA prospect cross-efficiency for multi-attribute group decision-making
A compact meta-learned neuro-fuzzy technique for noise-robust nonlinear control
Deep multilabel CNN for forensic footwear impression descriptor identification
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
Parameter-free dynamic fidelity selection for automated machine learning
Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention
Evolutionary collective behavior decomposition model for time series data mining
Sustainable supplier selection: A ranking model based on fuzzy inference system
Differential evolution algorithm with ensemble of parameters and mutation strategies
Reliability analysis and ABC based optimization for CoMP-enabled systems over Nakagami-m fading
A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification
Feature space transformation of user-clicks and deep transfer learning framework for fraudulent publisher detection in online advertising
Aligning heterogeneous optimization problems with optimal correspondence assisted affine transformation for evolutionary multi-tasking
Surrounding and context-aware network for individual emotion complement in social networks
Evolving type-2 web news mining
A discrete spider monkey optimization for the vehicle routing problem with stochastic demands
SPEGS-OE: A multi-stage high-fidelity 3D reconstruction method for small power equipment in outdoor environments from sparse views
Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications
Social network group decision-making with linguistic Z-number preference relations based on personalized individual semantics and trust driven
Plastic Distillation and Local Class Augment for Federated Class Incremental Learning
An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm
The mixed integer robust maximum expert consensus models for large-scale GDM under uncertainty circumstances
A multi-criteria decision support model for new energy vehicle selection considering social media influencer reviews and personalized preferences
Strategic coordination of drones via short-term distributed optimization and long-term reinforcement learning
Multi-criteria game model based on the pairwise comparisons of strategies with Z-numbers
Secure Routing Protocol based on Multi-objective Ant-colony-optimization for wireless sensor networks
Efficient method using Whale Optimization Algorithm for reliability-based design optimization of labyrinth spillway
An improved atom search optimization with dynamic opposite learning and heterogeneous comprehensive learning
A PCA-assisted hybrid algorithm combining EAs and adjoint methods for CFD-based optimization
Prediction of corporate default risk considering ESG performance and unbalanced samples
Federated semi-supervised learning for in-domain/Cross-domain Person Re-identification
QoS-aware fuzzy decision-based data forwarding in edge-centric vehicular networks
Transformer-based dynamics model for sim-to-real reinforcement learning control of a quadrotor with limited experimental data
Support vector regression based on optimal training subset and adaptive particle swarm optimization algorithm
Contrastive learning-based few-shot relation extraction with open-book datastore
Managing experts behavior in large-scale consensus reaching processes with uninorm aggregation operators
Multi-robot path planning using improved particle swarm optimization algorithm through novel evolutionary operators
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction
Glass container production scheduling through hybrid multi-population based evolutionary algorithm
A novel FMEA approach for submarine pipeline risk analysis based on IVIFRN and ExpTODIM-PROMETHEE-II
Enhancement of low quality underwater image through integrated global and local contrast correction
Identification method for fuzzy forecasting models of time series
Design of artificial neuron controller for STATCOM in dSPACE environment
Soft-computing models for soot-blowing optimization in coal-fired utility boilers
Harmony search algorithm and Lyapunov theory based hybrid adaptive fuzzy controller for temperature control of air heater system with transport-delay
A two-objective-optimization-driven group decision making model under the bipolarity of decision information
Ship weather routing featuring w-MOEA/D and uncertainty handling
Architecture reduction of a probabilistic neural network by merging k-means and k-nearest neighbour algorithms
Human-competitive lens system design with evolution strategies
Power system loading margin enhancement based on a multi-objective TCSC placement to mitigate the risk of blackouts
Multi-Objective Search Group Algorithm for engineering design problems
FUZZ-EQ: A data equalizer for boosting the discrimination power of fuzzy classifiers
CNN-based multivariate data analysis for bitcoin trend prediction
An ensemble learning algorithm for optimization of spark ignition engine performance fuelled with methane/hydrogen blends
A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks
Adaptive stick-slip friction and backlash compensation using dynamic fuzzy logic system
State estimation of nonlinear dynamic systems using weighted variance-based adaptive particle swarm optimization
Variable feedback gain control design based on particle swarm optimizer for automatic fighter tracking problems
Hybrid artificial algae algorithm for economic load dispatch
Design and implementation of run-length encoding on quantum computers for resource-efficient data representation
A genetic algorithm (GA) with graph reconstruction and Boolean_OR Crossover for minimum 2-edge connected m-dominating set problem
Quantum-inspired algorithm for direct multi-class classification
Unit commitment problem with ramp rate constraint using a binary-real-coded genetic algorithm
Aggregate-aware model with bidirectional edge generation for medical image segmentation
Ant Colony Optimization based approach for efficient packet filtering in firewall
MRI reconstruction via multi transforms learning and logarithm ratio for vectorized groups
Neural network-based multi-task learning for inpatient flow classification and length of stay prediction
Consensus reaching process with noncooperative behaviors in large-scale group social network environment
Wavelet-based spatiotemporal sparse quaternion dictionary learning for reconstruction of multi-channel vibration data
Nasseh method to visualize high-dimensional data
A hybrid decision making approach for new service development process of renewable energy investment
Dynamic graph-enhanced multi-scale attention network for FW-UAV fault diagnosis under small sample
An artificial bee colony-least square algorithm for solving harmonic estimation problems
Modified failure mode and effects analysis under uncertainty: A rough cloud theory-based approach
Towards minimization of overall inconsistency involved in criteria weights for improved decision making
Multi-population and dynamic-iterative cuckoo search algorithm for linear antenna array synthesis
Flocking based evolutionary computation strategy for measuring centrality of online social networks
Digital twin-assisted fault diagnosis framework for rolling bearings under imbalanced data
Multi-view anchor graph regularization induced unbiased learning for positive and unlabeled problem
An investigation of the selection strategies impact on MOEDAs: CMA-ES and UMDA
Networked correlation-aware manufacturing service supply chain optimization using an extended artificial bee colony algorithm
An adaptive multi-objective multi-task scheduling method by hierarchical deep reinforcement learning
New Caledonian crow learning algorithm: A new metaheuristic algorithm for solving continuous optimization problems
Collaborative scheduling of operating room in hospital network: Multi-objective learning variable neighborhood search
A PD-type Multi Input Single Output SSSC damping controller design employing hybrid improved differential evolution-pattern search approach
Ultra-low memory spatiotemporal decomposition recurrent neural networks for edge structural fault monitoring
An ANN-based approach of interpreting user-generated comments from social media
Nonconvex projection activated zeroing neurodynamic models for time-varying matrix pseudoinversion with accelerated finite-time convergence
Multi-objective drilling trajectory optimization using decomposition method with minimum fuzzy entropy-based comprehensive evaluation
Position-based focal loss for diverse and relevant response generation
Fuzzy utility mining with upper-bound measure
An agent-based intelligent algorithm for uniform machine scheduling to minimize total completion time
Patent classification system using a new hybrid genetic algorithm support vector machine
An instance-oriented multi-source information fusion technique based on neighborhood granules
Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
Meta fuzzy feature-selection-based regression functions
Interval-valued (alpha, beta)-fuzzy K-algebras
Ultrasmall fully-convolution GVA-net for point cloud processing
Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine
A charging-scheme decision model for electric vehicle battery swapping station using varied population evolutionary algorithms
Estimation of damage in high strength steels
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection
Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets
Dynamic parameter optimization of evolutionary computation for on-line prediction of time series with changing dynamics
A high throughput system for intelligent watermarking of bi-tonal images
Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling
AI-based visual speech recognition towards realistic avatars and lip-reading applications in the metaverse
On the fusion of soft-decision-trees and concept-based models
An uncertainty weighted kriging-random forest model for real-time ground property prediction during earth pressure balance shield tunneling
Corrigendum to "Developing model-based software to optimize wheat storage and transportation: A real-world application" [Appl. Soft Comput. 13 (2013) 1074-1084]
Region growing based segmentation algorithm for typewritten and handwritten text recognition
A hybrid multi-objective evolutionary optimization approach for the robust vehicle routing problem
Fast Convolutional Neural Network with iterative and non-iterative learning
Hyperbox clustering with Ant Colony Optimization (HACO) method and its application to medical risk profile recognition
Development and optimization of geopolymer concrete with compressive strength prediction using particle swarm-optimized extreme gradient boosting
Variable Formulation Search for the Cutwidth Minimization Problem
Compactness rate as a rule selection index based on Rough Set Theory to improve data analysis for personal investment portfolios
An artificial bee colony algorithm for scheduling call centres with weekend-off fairness
Genetic approach for dynamic OVSF code allocation in 3G wireless networks
Performance analysis of nonlinear activated zeroing neural networks for time-varying matrix pseudoinversion with application
Study of selected methods for balancing independent data sets in k-nearest neighbors classifiers with Pawlak conflict analysis
Simulated annealing for a multi-level nurse rostering problem in hemodialysis service
Efficient quantum inspired meta-heuristics for multi-level true colour image thresholding
Evolving kernel-based fuzzy system with nonlinear consequences
Ensemble of deep sequential models for credit card fraud detection
Characterizing objects with SIKA features for multiclass classification
Fuzzy inductive reasoning forecasting strategies able to cope with missing data: A smart grid application
A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection
Comparison of neural network application for fuzzy and ANFIS approaches for multi-criteria decision making problems
A matheuristic method for the automated guided vehicle scheduling problem with flexible charging and job release
Collaborative transformer U-shaped network for medical image segmentation
Deep state space models for remaining useful life estimation
Multi-objective robust design of helical milling hole quality on AISI H13 hardened steel by normalized normal constraint coupled with robust parameter design
Non-singleton fuzzy control for multi-synchronization of chaotic systems
Interpretable classification of epileptic EEG signals using ALIF decomposition and attention-augmented cascaded deep neural networks
Estimation of seismic-induced demands on column splices with a neural network model
Development of type-2 Pythagorean fuzzy set with its application to sustainable transport system selection
New product design using FDMS and FANP under fuzzy environment
ResQ: A hybrid classical-quantum model for efficient breast cancer image classification
Natural gas pipeline network expansion under load-evolution uncertainty based on multi-criteria analysis
Artificial bee colony algorithm based on Parzen window method
On the optimal placement of cameras for surveillance and the underlying set cover problem
Multi-layer radial basis function neural network based on multi-scale kernel learning
Dynamic neural network-based feedback linearization control of full-car suspensions using PSO
Interval-valued Fermatean fuzzy Z-LMAW for sustailient cold chain supplier evaluation
Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing Journal
A new approach to fuzzy estimation of Takagi-Sugeno model and its applications to optimal control for nonlinear systems
Multiple-attribute group decision-making approach using power aggregation operators with CRITIC-WASPAS method under 2-dimensional linguistic intuitionistic fuzzy framework
Prediction of first lactation 305-day milk yield in Karan Fries dairy cattle using ANN modeling
Learning machines: Rationale and application in ground-level ozone prediction
A novel phase I fuzzy profile monitoring approach based on fuzzy change point analysis
A real-time DC faults diagnosis in a DC ring microgrid by using derivative current based optimal weighted broad learning system
Causal inference and attribute correlation consistency for eliminating popularity bias in recommendation system
DSCTool: A web-service-based framework for statistical comparison of stochastic optimization algorithms
Two novel local binary pattern descriptors for texture analysis
An expensive multi-objective evolutionary algorithm based on grid and relation learning
Dynamic scene understanding of surgical medical images for accurate disease diagnosis using deep learning based motion segmentation
Implementing Fuzzy Logic and AHP into the EFQM model for performance improvement: A case study
A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning
An improved plagiarism detection scheme based on semantic role labeling
Multi-start iterated local search, exact and matheuristic approaches for minimum capacitated dominating set problem
Packer classification based on association rule mining
Real-time detection of insulator and self-explosion defect based on the lightweight MEGB-YOLOv5s model
Uncertainty measurement for hybrid data using KNN-neighbourhood rough set model: Application to attribute reduction based on overlap degree
A 2-dimension uncertain linguistic DEMATEL method for identifying critical success factors in emergency management
Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification
Towards explainable evaluation: Explaining predicted performance using local performance regions
Enhancing vehicle detection in intelligent transportation systems via autonomous UAV platform and YOLOv8 integration
A novel combined forecasting system for air pollutants concentration based on fuzzy theory and optimization of aggregation weight
Anomaly detection in time-series data using evolutionary neural architecture search with non-differentiable functions
A hybrid project scheduling and material ordering problem: Modeling and solution algorithms
Development of a cyber physical production system framework for 3D printing analytics
A fractional-order visual neural network for collision sensing in noisy and dynamic scenes
Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set
KNCM: Kernel Neutrosophic c-Means Clustering
A fuzzy approach to define sample size for attributes control chart in multistage processes: An application in engine valve manufacturing process
An optimal control policy in fighting COVID-19 and infectious diseases
Adaptive minimum adjustment consensus model for large-scale group decision making under social networks and its application in Integrated Care of Older People
Bitcoin transaction strategy construction based on deep reinforcement learning
Preference-based multi-objectivization applied to decision support for High-Pressure Thermal processes in food treatment
Optimal multi-reservoir network control by augmented Lagrange programming neural network
Co-evolutionary multi-task learning for dynamic time series prediction
An Advanced Ensemble Framework for defending against obfuscated Windows, Android, and IoT malware
A three-way decision method based on cumulative prospect theory for the hierarchical diagnosis and treatment system of chronic diseases
Overcoming scalability challenges in multi-objective flexible jobshop scheduling algorithms by automatic configuration
Evaluating community question-answering websites using interval-valued intuitionistic fuzzy DANP and TODIM methods
AI-driven energy storage optimization in microgrids: Integrating deep reinforcement learning with BiLSTM and LightGBM models
Evolving ant colony optimization based unit commitment
Dominance-based feature selection approach to interval-valued ordered intuitionistic fuzzy data
Compressing convolutional neural networks with hierarchical Tucker-2 decomposition
Managing project risk using combined analytic hierarchy process and risk map
A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming
Fortifying vision models: A comprehensive survey of defences against adversarial examples
Semisupervised self-learning granular neural networks for remote sensing image classification
Automatic pattern recognition of ECG signals using entropy-based adaptive dimensionality reduction and clustering
Medical image fusion via discrete stationary wavelet transform and an enhanced radial basis function neural network
Bio-inspired neurocomputing with 256 noise oscillators simulating photo response of Euglena cells
FPGA based hardware implementation of Bat Algorithm
Improved particle swarm optimization algorithm and its application in text feature selection
Dual-domain extraction and fusion framework for underwater image enhancement
Information granule optimization and co-training based on kernel method