yusuke1997/dblp-id-title huggingface dataset:
Multi-Reservoir Echo State Networks with Hodrick-Prescott Filter for nonlinear time-series prediction
Finite-time control of mobile robot systems with unmeasurable angular and linear velocities via bioinspired neurodynamics approach
Snap-drift cuckoo search: A novel cuckoo search optimization algorithm
Multilevel thresholding based on Chaotic Darwinian Particle Swarm Optimization for segmentation of satellite images
Feature selection for online streaming high-dimensional data: A state-of-the-art review
A role-based mobile-agent approach to support e-democracy
A recombination-based hybridization of particle swarm optimization and artificial bee colony algorithm for continuous optimization problems
Learning with noisy labels via Mamba and entropy KNN framework
A reversible privacy-preserving clustering technique based on k -means algorithm
Real-time location technology of hydrogen energy storage and transportation leakage based on self-attention mechanism group
Comparative analysis of Simulated Annealing, Simulated Quenching and Genetic Algorithms for optimal reservoir operation
Modeling operation problem of active distribution networks with retailers and microgrids: A multi-objective bi-level approach
Spatial-temporal traffic data imputation based on dynamic multi-level generative adversarial networks for urban governance
Physics informed machine learning model for inverse dynamics in robotic manipulators
Automatically interactive group VIKOR decision making mechanism based on BSO-SNA
A second-order projection neurodynamic approach with exponential convergence for sparse signal reconstruction
Optimal allocation of photovoltaic/wind energy system in distribution network using meta-heuristic algorithm
PLAHS: A Partial Labelling Autonomous Hyper-heuristic System for Industry 4.0 with application on classification of cold stamping process
Virtual Savant as a generic learning approach applied to the basic independent Next Release Problem
An accelerating convolutional neural networks via a 2D entropy based-adaptive filter search method for image recognition
Reliability analysis of complex multi-robotic system using GA and fuzzy methodology
Optimization under uncertainty: A perspective of soft computing
Integrating dominance properties with genetic algorithms for parallel machine scheduling problems with setup times
Improving surrogate-assisted variable fidelity multi-objective optimization using a clustering algorithm
General-purpose curvilinear object detection with fuzzy mathematical morphology
A Novel History-driven Artificial Bee Colony Algorithm for Data Clustering
Fuzzy multiple objective optimal system design by hybrid genetic algorithm
The cross-interval reconstruction and heuristic calculation to deal with the continuous-valued attribute in the learning process
Artificial neural networks applications in construction and building engineering (1991-2021): Science mapping and visualization
A biased genetic algorithm hybridized with VNS for the two-dimensional knapsack packing problem with defects
A hybrid trajectory optimization solution applied to UAVs based on point cloud information and bio-inspired evolutionary algorithm
Applications of machine learning techniques to a sensor-network-based prosthesis training system
Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods
Multi-layer perceptron classification method of medical data based on biogeography-based optimization algorithm with probability distributions
Optimized Gabor features for mass classification in mammography
Neuro-evolution-based generic missile guidance law for many-scenarios
An adaptive color image watermarking using RDWT-SVD and artificial bee colony based quality metric strength factor optimization
Bridging the semantic-numerical gap: A numerical reasoning method of cross-modal knowledge graph for material property prediction
Cloudy GSA for load scheduling in cloud computing
State of health estimation for lithium-ion batteries based on incremental capacity analysis and Transformer modeling
Efficient heuristics for the obnoxious planar p-median problem with variable sizes
Multi-agent target search strategy optimization: Hierarchical reinforcement learning with multi-criteria negative feedback
Spiking neural network with time-varying weights for rail squat detection
A GRASP method for the Bi-Objective Multiple Row Equal Facility Layout Problem
Solving symmetric eigenvalue problem via genetic algorithms: Serial versus parallel implementation
A block-based evolutionary algorithm for flow-shop scheduling problem
An adaptive and efficient dimension reduction model for multivariate wireless sensor networks applications
Deterministic metaheuristic based on fractal decomposition for large-scale optimization
Parallel assembly lines worker assignment and balancing problem: A mathematical model and an artificial bee colony algorithm
Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems
Modified Bayesian data fusion model for travel time estimation considering spurious data and traffic conditions
An in-depth metaheuristic approach to design a sustainable closed-loop agri-food supply chain network
Efficiency of bio- and socio-inspired optimization algorithms for axial turbomachinery design
Broad learning: A GPU-free image-based malware classification
Dynamically allocated interval-based generative linguistic steganography with roulette wheel
Intuitionistic fuzzy MULTIMOORA approach for multi-criteria assessment of the energy storage technologies
An efficient method for mining high average-utility itemsets based on particle swarm optimization with multiple minimum thresholds
Continuous Cartesian Genetic Programming based representation for multi-objective neural architecture search
Design and implementation of discrete Jaya and discrete PSO algorithms for automatic collaborative learning group composition in an e-learning system
Minimizing makespan on a three-machine flowshop batch scheduling problem with transportation using genetic algorithm
Derivation and stability analysis of the analytical structures of the interval type-2 fuzzy PID controller
A genetic algorithm for balancing and sequencing of mixed-model two-sided assembly line with unpaced synchronous transfer
A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming
Nature-inspired optimal tuning of input membership functions of Takagi-Sugeno-Kang fuzzy models for Anti-lock Braking Systems
Nodal ant colony optimization for solving profit based unit commitment problem for GENCOs
Self-adaptive metaheuristics for solving a multi-objective 2-dimensional vector packing problem
Representation model and learning algorithm for uncertain and imprecise multivariate behaviors, based on correlated trends
Time series forecasting with a neuro-fuzzy modeling scheme
Fixed set search application for minimizing the makespan on unrelated parallel machines with sequence-dependent setup times
Drift-plus-penalty guided graph reinforcement learning for stable content caching in fog-cloud continuum
A benchmark suite for designing combinational logic circuits via metaheuristics
The effects of two new crossover operators on genetic algorithm performance
An experimental study on the application of reinforcement learning in injection molding in the spirit of Industry 4.0
A condensed polynomial neural network for classification using swarm intelligence
Rules discovery in fuzzy classifier systems with PSO for scheduling in grid computational infrastructures
Generation of road maps from trajectories collected with smartphone - A method based on Genetic Algorithm
New analysis on mobile agents based network routing
Improved cuckoo search algorithm for hybrid flow shop scheduling problems to minimize makespan
An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting
OdML: An optimization-driven meta-learning framework for multi-task approximate model predictive control
Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem
FT-GPNN: A finite-time convergence solution for multi-set constrained optimization
Semi-supervised ensemble classification in subspaces
Multi-source and multivariate ozone prediction based on fuzzy cognitive maps and evidential reasoning theory
Linguistic group decision making with induced aggregation operators and probabilistic information
Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers
An evolutionary approach to modelling concrete degradation due to sulphuric acid attack
Forecasting Bitcoin returns with long short-term memory networks and wavelet decomposition: A comparison of several market determinants
Online adaptive dynamic programming based on echo state networks for dissolved oxygen control
A systematic review of the soft computing methods shaping the future of the metaverse
Numerical sensitive data recognition based on hybrid gene expression programming for active distribution networks
A multiobjective spatial fuzzy clustering algorithm for image segmentation
Fuzzy multi period portfolio selection with different rates for borrowing and lending
Different transfer learning approaches for insect pest classification in cotton
An ANN-entropy-FA model for prediction and optimization of biodiesel-based engine performance
A fuzzy model for managing natural noise in recommender systems
Fitness-Distance-Constraint (FDC) based guide selection method for constrained optimization problems
Joint optimization method for task scheduling time and energy consumption in mobile cloud computing environment
Continuous emotion recognition during music listening using EEG signals: A fuzzy parallel cascades model
A novel combined model based on hybrid optimization algorithm for electrical load forecasting
A hybrid approach based on differential evolution and tissue membrane systems for solving constrained manufacturing parameter optimization problems
Corrigendum to "Maintaining filter structure: A Gabor-based Convolutional Neural Network for image Analysis" [Appl. Soft Comput. 88 (2020) 105960]
Cluster validity index for irregular clustering results
A parallel MOEA with criterion-based selection applied to the Knapsack Problem
The influence of externality in the graph model for conflict resolution under fuzzy preferences
Computational-based partitioning and Strong α, β-cut based novel method for intuitionistic fuzzy time series forecasting
Multi-response non-parametric profiling using Taguchi's qualimetric engineering and neurocomputing methods: Screening a foaming process in a solar collector assembly
An ANFIS model of quality of experience prediction in education
A radial basis function network classifier to maximise leave-one-out mutual information
Learning by competing: Competitive multi-generator based adversarial learning
On the behavior of parallel island models
Biparty multiobjective optimal power flow: The problem definition and an evolutionary approach
Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model
Meta-heuristic Algorithms for Double Roman Domination Problem
Particle swarm optimization using dynamic tournament topology
A generic optimising feature extraction method using multiobjective genetic programming
Energy load time-series forecast using decomposition and autoencoder integrated memory network
Discrete artificial electric field algorithm for high-order graph matching
Adaptive local landscape feature vector for problem classification and algorithm selection
Application of genetic algorithm in crack detection of beam-like structures using a new cracked Euler-Bernoulli beam element
Machine learning integrated credibilistic semi supervised clustering for categorical data
Performance evaluation of automatically tuned continuous optimizers on different benchmark sets
Nonlinear subspace clustering by functional link neural networks
A new method for probabilistic linguistic multi-attribute group decision making: Application to the selection of financial technologies
Honey Bees Mating Optimization algorithm for financial classification problems
Backtracking search integrated with sequential quadratic programming for nonlinear active noise control systems
Heuristic smoothing ant colony optimization with differential information for the traveling salesman problem
A new game-theoretical multi-objective evolutionary approach for cash-in-transit vehicle routing problem with time windows (A Real life Case)
Exploring coordinated motion patterns of facial landmarks for deepfake video detection
A deep residual computation model for heterogeneous data learning in smart Internet of Things
An evolutionary multi-objective approach to learn from positive and unlabeled data
Hybrid approach for solving systems of nonlinear equations using chaos optimization and quasi-Newton method
A web page distillation strategy for efficient focused crawling based on optimized Naïve bayes (ONB) classifier
Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers
Evaluation of Anti-Tank Guided Missiles: An integrated Fuzzy Entropy and Fuzzy CoCoSo multi criteria methodology using technical and simulation data
Learning fuzzy cognitive maps for prediction problems using swarm intelligence based on an input-sensitive reasoning mechanism
Multiple Empirical Kernel Learning with dynamic pairwise constraints
An adaptive detection framework based on artificial immune for IoT intrusion detection system
A routing defense mechanism using evolutionary game theory for Delay Tolerant Networks
Ensemble Federated Learning: An approach for collaborative pneumonia diagnosis
Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography
Neutrosophic fusion of multimodal brain images: Integrating neutrosophic entropy and feature extraction
An evidential analysis of Altman Z-score for financial predictions: Case study on solar energy companies
Walking pattern classification using a granular linguistic analysis
Hierarchical polynomial-based fuzzy neural networks driven with the aid of hybrid network architecture and ranking-based neuron selection strategies
New hybrid genetic operators for real coded genetic algorithm to compute optimal control of a class of hybrid systems
A Q-learning based multi-objective memetic algorithm for dual-resource-constrained energy-saving distributed flexible job shop scheduling with applications in aerospace manufacturing
Ranking loss and sequestering learning for reducing image search bias in histopathology
A novel encoding for separable large-scale multi-objective problems and its application to the optimisation of housing stock improvements
On the effect of reference point in MOEA/D for multi-objective optimization
QE-DAL: A quantum image feature extraction with dense distribution-aware learning framework for object counting and localization
Combining N-grams and graph convolution for text classification
Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions
Surrogate approach to uncertainty quantification of neural networks for regression
A novel fractional-order fuzzy control method based on immersion and invariance approach
Value-added tax fraud detection with scalable anomaly detection techniques
From risks to rewards: A comprehensive guide to sustainable investment decisions in renewable energy using a hybrid facial expression-based fuzzy decision-making approach
A Bayesian analysis of spherical pattern based on finite Langevin mixture
Sizing optimization of truss structures using flower pollination algorithm
An efficient genetic selection of the presentation order in simplified fuzzy ARTMAP patterns
Cervical cytology screening using the fused deep learning architecture with attention mechanisms
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray
Dynamic metric aggregation tracker
Pointwise fuzzy mutual information based multi-label feature selection via feature low-rank regularization
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology
A broad and narrow approach to interactive evolutionary design - An aircraft design example
Fuzzy segmentation of endorrhachis in magnetic resonance images and its fuzzy maximum intensity projection
Clustering based fuzzy classification with a noise cluster in detecting fraud in insurance
Knowledge-guided global optimization for expensive and black-box constrained multi-objective engineering design problems
A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation
Combining PPO and incremental conductance for MPPT under dynamic shading and temperature
A class of new Support Vector Regression models
Adaptive consensus model with multiplicative linguistic preferences based on fuzzy information granulation
Gene Suppressor: An added phase toward solving large scale optimization problems in genetic algorithm
Backpropagation-free 4D continuous ant-based neural topology search
Many-objective cloud manufacturing service selection and scheduling with an evolutionary algorithm based on adaptive environment selection strategy
Generative learning for imbalanced data using the Gaussian mixed model
Fuzzy logic-based embedded system for video de-interlacing
Adaptive dynamic RBF neural controller design for a class of nonlinear systems
A neighborhood-aware semi-supervised intuitionistic fuzzy clustering method with multi-level weighting
The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Hybrid multi-objective evolutionary algorithm based on Search Manager framework for big data optimization problems
Design of two-layered fractional order fuzzy logic controllers applied to robotic manipulator with variable payload
Filter design using radial basis function neural network and genetic algorithm for improved operational health monitoring
The effect of different sampling method integrated in NSGA II optimization on performance and emission of diesel/hydrogen dual-fuel CI engine
Evolutionary optimization of thermo-physical properties of MWCNT-Fe3O4/water hybrid nanofluid using least-squares support vector regression-based models
A genetic algorithm based robust learning credit assignment cerebellar model articulation controller
A hybrid non-linear time-varying double-weighted particle swarm optimization for solving non-convex combined environmental economic dispatch problem
Fault diagnosis and classification framework using multi-scale classification based on kernel Fisher discriminant analysis for chemical process system
Adaptive Fuzzy-Wavelet Neural Network identification core for reinforced control of general arbitrarily switched nonlinear Multi Input-Multi Output Dynamic Systems
An ACO-based personalized learning technique in support of people with acquired brain injury
A ranking improved teaching-learning-based optimization algorithm for parameters identification of photovoltaic models
Strongly-typed genetic programming and fuzzy inference system: An embedded approach to model and generate trading rules
An intelligent multi-objective framework for optimizing friction-stir welding process parameters
A method to aggregate crisp values into interval-valued intuitionistic fuzzy information for group decision making
Consistency of interval fuzzy preference relations in group decision making
A bi-criteria optimization: minimizing the integral value and spread of the fuzzy makespan of job shop scheduling problems
A hybrid adaptive granular approach to Takagi-Sugeno-Kang fuzzy rule discovery
Ant colony optimization for traveling salesman problem based on parameters optimization
A two-stage MCDM model for reverse logistics network design of waste batteries in Turkey
Multi-objective design of X control charts with fuzzy process parameters using the hybrid epsilon constraint PSO
A survey on parallel ant colony optimization
A multi-branch attention coupled convolutional domain adaptation network for bearing intelligent fault recognition under unlabeled sample scenarios
The use of a fuzzy multi-objective linear programming for solving a multi-objective single-machine scheduling problem
Three-way fusion measures and three-level feature selections based on neighborhood decision systems
Matrix pattern based minimum within-class scatter support vector machines
Small-world spiking neural network with anti-interference ability based on speech recognition under interference
Elite-guided multi-objective artificial bee colony algorithm
Optimal power flow solution using improved harmony search method
Question answering over temporal knowledge graphs based on time sensitive graph neural network
Hybrid attention-based Long Short-Term Memory network for sarcasm identification
Mobility-aware proactive video caching based on asynchronous federated learning in mobile edge computing systems
Intelligent Grey Wolf Optimizer - Development and application for strategic bidding in uniform price spot energy market
Routing for applications in NoC using ACO-based algorithms
Brownian motion based multi-objective particle swarm optimization methodology and application in binary classification
Effects of dominant wolves in grey wolf optimization algorithm
Big data classification with a distance combination based Fuzzy C-Means
Multiobjective thermal power load dispatch using adaptive predator-prey optimization
Adaptive group search optimization algorithm for multi-objective optimal power flow problem
A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty
Enhancing clustering quality of geo-demographic analysis using context fuzzy clustering type-2 and particle swarm optimization
Energy-efficient routing based on vehicular consumption predictions of a mesoscopic learning model
An agent-based fuzzy constraint-directed negotiation model for solving supply chain planning and scheduling problems
Application of multi-objective evolutionary algorithm based on transfer learning in sliding bearing
Uncertainty estimation by boosting with Gaussian process for expensive optimization problems
Ions motion algorithm for solving optimization problems
Ranking of sites for power plant installation using soft computing techniques - A thought beyond EIA
A cultural evolution with a modified selection function and adaptive α-cognition procedure for numerical optimization
Feedforward neural network-based augmented salp swarm optimizer for accurate software development cost forecasting
Secure video retrieval using image query on an untrusted cloud
A genetic algorithm for the minimum generating set problem
Aggregating decision information into Atanassov's intuitionistic fuzzy numbers for heterogeneous multi-attribute group decision making
Graph-based few-shot incremental learning algorithm for unknown class detection
Scheduling strategy for computational-intensive data flow in generalized cluster environments
Predicting uncertain behavior of press unit in a paper industry using artificial bee colony and fuzzy Lambda-Tau methodology
SDIF-CNN: Stacking deep image features using fine-tuned convolution neural network models for real-world malware detection and classification
Training of support vector machine with the use of multivariate normalization
Graph-embedded reinforcement learning for dynamic pricing and advertising under network effects
Assessment of compressive strength of Ultra-high Performance Concrete using deep machine learning techniques
A genetic algorithm-based rule extraction system
Impact of Lèvy flight on modern meta-heuristic optimizers
Detection and accommodation of outliers in Wireless Sensor Networks within a multi-agent framework
Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest