yusuke1997/dblp-id-title huggingface dataset:
Integrating reinforcement learning and metaheuristics for safe and sustainable health tourist trip design problem
Data-driven optimization for mitigating tunnel-induced damages
Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling
TPCMEA: A tri-population evolutionary algorithm with adaptive stage-switching for complex CMOPs
Fuzzy based image edge detection algorithm for blood vessel detection in retinal images
Weighted least squares support vector machine local region method for nonlinear time series prediction
A self-organizing modular neural network based on empirical mode decomposition with sliding window for time series prediction
Design of multimodal hub-and-spoke transportation network for emergency relief under COVID-19 pandemic: A meta-heuristic approach
Multi-objective genetic algorithm embedded with reinforcement learning for petrochemical melt-flow-index production scheduling
Assessing the visual quality of sanitary ware by fuzzy logic
Probability based document clustering and image clustering using content-based image retrieval
A new feature selection method based on task environments for controlling robots
Low cost remote gaze gesture recognition in real time
A fine-grained RDF graph model for fuzzy spatiotemporal data
Bi-objective service composition and optimal selection for cloud manufacturing with QoS and robustness criteria
Crossing road monitoring system based on adaptive decision for illegal situation
Multi-objective Cartesian Genetic Programming optimization of morphological filters in navigation systems for Visually Impaired People
Modeling nonlinear elastic behavior of reinforced soil using artificial neural networks
Ranking of fuzzy numbers by using value and angle in the epsilon-deviation degree method
Clustering-based interval prediction of electric load using multi-objective pathfinder algorithm and Elman neural network
A new modification approach on bat algorithm for solving optimization problems
Meta-learning based infrared ship object detection model for generalization to unknown domains
An efficient Long Short-Term Memory model based on Laplacian Eigenmap in artificial neural networks
Mining significant fuzzy association rules with differential evolution algorithm
Interpretable boosting algorithms for prediction and data imputation of River Sediment
Error convergence analysis of the SUFIN and CSUFIN
A probabilistic principal component analysis-based approach in process monitoring and fault diagnosis with application in wastewater treatment plant
A novel behavioral three-way decision model with application to the treatment of mild symptoms of COVID-19
A general framework and guidelines for benchmarking computational intelligence algorithms applied to forecasting problems derived from an application domain-oriented survey
Fuzzy comprehensive three-level evaluation for deep learning classification targeting high-dimensional data
A KPI-related fault diagnosis method for multimode manufacturing processes based on supervised minimal gated unit and sparse broad learning system
GPFIS-CLASS: A Genetic Fuzzy System based on Genetic Programming for classification problems
A fast evaluation strategy for evolutionary algorithms
Prediction and analysis of cold rolling mill vibration based on a data-driven method
PSOLDA: A particle swarm optimization approach for enhancing classification accuracy rate of linear discriminant analysis
Three improved hybrid metaheuristic algorithms for engineering design optimization
Moving object classification using local shape and HOG features in wavelet-transformed space with hierarchical SVM classifiers
Evaluating zero-carbon measures through a probabilistic hesitant fuzzy LOPCOW and WISP approach
An ant colony algorithm for the multi-compartment vehicle routing problem
Adaptive k-tournament mutation scheme for differential evolution
The laser-induced damage change detection for optical elements using siamese convolutional neural networks
Hybridizations of genetic algorithms and neighborhood search metaheuristics for fuzzy bus terminal location problems
End-to-end plant disease detection using transformers with collaborative hybrid assignment training
Autonomous real-time landing site selection for Venus and Titan using Evolutionary Fuzzy Cognitive Maps
Solving satellite image data downlink scheduling problem with family attribute via a bi-stage differential evolutionary algorithm
Unsupervised nonparametric method for gait analysis using a waist-worn inertial sensor
A large group linguistic Z-DEMATEL approach for identifying key performance indicators in hospital performance management
An attention based dual learning approach for video captioning
Application of neural network and weighted improved PSO for uncertainty modeling and optimal allocating of renewable energies along with battery energy storage
An adaptive constrained type-2 fuzzy Hammerstein neural network data fusion scheme for low-cost SINS/GNSS navigation system
An optimal service selection approach for service-oriented business collaboration using crowd-based cooperative computing
Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19
Financial time series forecasting with deep learning : A systematic literature review: 2005-2019
Discussions of worker ants' rule-based CHC dealing with changing environments
An effective hot topic detection method for microblog on spark
Integration of interval rough AHP and interval rough MABAC methods for evaluating university web pages
Error feedback method (EFM) based dimension synthesis optimisation for four-bar linkage mechanism
Adaptive LSSVM based iterative prediction method for NOx concentration prediction in coal-fired power plant considering system delay
Metaheuristics-guided active learning for optimizing reaction conditions of high-performance methane conversion
DTLMV2 - A real-time deep transfer learning mask classifier for overcrowded spaces
Prophet-EEMD-LSTM based method for predicting energy consumption in the paint workshop
Metallic surface defect recognition network based on global feature aggregation and dual context decoupled head
Efficient multiple density-based models over large datasets with data stream applications
Application of Legendre Neural Network for solving ordinary differential equations
An asymmetric PROMETHEE II for cryptocurrency portfolio allocation based on return prediction
Optimal foraging algorithm for global optimization
Multi-objective optimization and decision making approaches to cricket team selection
A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems
Integrated framework for estimating remaining useful lifetime through a deep neural network
Document-level multiple relations extraction method via evidence guidance and relation correlation
Intuitionistic fuzzy twin proximal SVM with fuzzy hyperplane and its application in EEG signal classification
Online tool wear prediction system in the turning process using an adaptive neuro-fuzzy inference system
A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition
A dynamic metaheuristic optimization model inspired by biological nervous systems: Neural network algorithm
The generalized covering traveling salesman problem
A new sparse model for traffic sign classification using soft histogram of oriented gradients
Bio-inspired computation: Recent development on the modifications of the cuckoo search algorithm
Multiclass anomaly detection for unsupervised and semi-supervised data based on a combination of negative selection and clonal selection algorithms
An efficient heuristic to obtain a better initial feasible solution to the transportation problem
Optimal feature selection using modified cuckoo search for classification of power quality disturbances
Sentence-level sentiment classification based on multi-attention bidirectional gated spiking neural P systems
A consensus-based single valued neutrosophic model for selection of educational vendors under metaverse with extended reality
Solution of maximum scatter traveling salesman problem through evolutionary approaches
An interpretable Dahl-LRN neural-network for accurately modelling the systems with rate-dependent asymmetric hysteresis
Long-term time series forecasting by a frequency-domain enhanced temporal convolutional network with the stationary residual regularization
A regularity model-based multiobjective estimation of distribution algorithm with reducing redundant cluster operator
A beam search approach for solving type II robotic parallel assembly line balancing problem
A signed network analysis-based Consensus Reaching Process in Group Decision Making
Estimating incomplete information in group decision making: A framework of granular computing
Scheduling techniques for addressing uncertainties in container ports: A systematic literature review
P2P data replication and trustworthiness for a JXTA-Overlay P2P system using fuzzy logic
Dilated Adversarial U-Net Network for automatic gross tumor volume segmentation of nasopharyngeal carcinoma
Face recognition using spectrum-based feature extraction
Feature radiance fields (FeRF): A multi-level feature fusion method with deep neural network for image synthesis
Internal audit planning using spherical fuzzy ELECTRE
Brain tumor characterization using the soft computing technique of fuzzy cognitive maps
Surrogate-based optimisation using adaptively scaled radial basis functions
Online knowledge distillation enabled multi-hop graph attention networks for anonymous transaction regulation in blockchain
Picture fuzzy normalized projection and extended VIKOR approach to software reliability assessment
A comparison of two learning mechanisms for the automatic design of fuzzy diagnosis systems for rotating machinery
Soft fuzzy rough set-based MR brain image segmentation
Scene recognition using multiple representation network
Reinforcement learning applied to Forex trading
3D fast convex-hull-based evolutionary multiobjective optimization algorithm
An energy aware grouping memetic algorithm to schedule the sensing activity in WSNs-based IoT for smart cities
Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation
Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction
Design and optimization of a CMOS power amplifier using innovative fractional-order particle swarm optimization
A modified ant optimization algorithm for path planning of UCAV
Metaheuristics based de novo protein sequencing: A new approach
LOSS-GAT: Label propagation and one-class semi-supervised graph attention network for fake news detection
Implementing a diffusion model optimized by a hybrid evolutionary algorithm to forecast notebook shipments
Unified whale optimization algorithm based multi-kernel SVR ensemble learning for wind speed forecasting
A two-stage algorithm for network reconstruction
Proposal of a statistical test rule induction method by use of the decision table
Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder
Online preference learning for adaptive dispatching of AGVs in an automated container terminal
An efficient method for multilevel color image thresholding using cuckoo search algorithm based on minimum cross entropy
Robust fuzzy clustering neural network based on epsilon-insensitive loss function
Shape feature encoding via Fisher Vector for efficient fall detection in depth-videos
Intelligent classification of web pages using contextual and visual features
Fuzzy multi-perspective conformance checking for business processes
Immune Plasma Programming: A new evolutionary computation-based automatic programming method
Phase-wise attention GCN for recommendation denoising
A holistic failure modes and effects analysis for university plastic injection laboratory under Bayesian Network
Discrimination index based attribute reduction for partially labeled heterogeneous data via a new prediction label strategy and statistical distribution of data
A nonlinearly-activated neurodynamic model and its finite-time solution to equality-constrained quadratic optimization with nonstationary coefficients
Adaptive genetic algorithms applied to dynamic multiobjective problems
A self-learning whale optimization algorithm based on reinforcement learning for a dual-resource flexible job shop scheduling problem
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks
Cross-document structural relationship identification using supervised machine learning
Optimum placement of active power conditioner in distribution systems using improved discrete firefly algorithm for power quality enhancement
Particle swarm optimization technique based short-term hydrothermal scheduling
Statistical fuzzy interval neural networks for currency exchange rate time series prediction
Solving the robust influence maximization problem on multi-layer networks via a Memetic algorithm
Three-way decisions with fuzzy probabilistic covering-based rough sets and their applications in credit evaluation
The design of a new hybrid controller for fractional-order uncertain chaotic systems with unknown time-varying delays
Decision boundary clustering for efficient local SVM
Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM)
Diagnosis of Alzheimer's disease via Intuitionistic fuzzy least squares twin SVM
AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network
Contrastive learning with transformers for meta-path-free heterogeneous graph embedding
A robust approach for multi-agent natural resource allocation based on stochastic optimization algorithms
A population-based game-theoretic optimizer for the minimum weighted vertex cover
Utopian point based decomposition for multi-objective optimization problems with complicated Pareto fronts
Selective regularized spatial features representation learning for motor imagery EEG based on alternating cascaded model
A genetic algorithm for PDA optimal path generation using GPS
ARO: A new model-free optimization algorithm inspired from asexual reproduction
Evaluating deep models for absenteeism prediction of public security agents
Spherical search algorithm with memory-guided population stage-wise control for bound-constrained global optimization problems
Application of evolving Takagi-Sugeno fuzzy model to nonlinear system identification
Incorporating domain knowledge into the optimization of energy systems
A new large model with multi-scale feature fusion for fault diagnosis based on unified time series model
Categorized attention based hierarchical-agents reinforcement learning for multi-objective dynamic job shop scheduling problem with machine deterioration
A note on "Fully fuzzy fixed charge multi-item solid transportation problem"
CT-based severity assessment for COVID-19 using weakly supervised non-local CNN
A type-2 neuro-fuzzy system based on clustering and gradient techniques applied to system identification and channel equalization
An integrated fuzzy multi criteria group decision making approach for ERP system selection
Differential evolution for parameterized procedural woody plant models reconstruction
A computational intelligence approach to efficiently predicting review ratings in e-commerce
Asynchronous evolution of deep neural network architectures
Application of modified NSGA-II algorithm to multi-objective reactive power planning
A Two-Engine interaction driven many-objective evolutionary algorithm with feasibility-aware adaptation
Robustness analysis of multi-layer feedforward artificial neural networks for finite element model updating
An ANN-based ensemble model for change point estimation in control charts
Multi-criteria group decision making based on trapezoidal intuitionistic fuzzy information
Multi-service value chains collaboration for repairperson resources selection using a many-objective evolutionary algorithm with adaptive reference vectors
Particle swarm optimizer with two differential mutation
Fuzzy best-worst method and its application in initial water rights allocation
Evolutionary circuit design for fast FPGA-based classification of network application protocols
A multi-path time-series generation and prediction model for financial markets using discriminator-filtered Monte Carlo TimeGAN
Application of a mixed variable physics-informed neural network to solve the incompressible steady-state and transient mass, momentum, and energy conservation equations for flow over in-line heated tubes
An efficient medical image classification network based on multi-branch CNN, token grouping Transformer and mixer MLP
Understanding the profit-driven credit scoring: New insights on loss functions and measures
Hierarchical multi-modal fusion architecture search for stock market forecasting
A Self-organizing Deep Auto-Encoder approach for Classification of Complex Diseases using SNP Genomics Data
An efficient hybrid particle swarm optimization algorithm in a rolling horizon framework for the aircraft landing problem
Simulation of an adaptive artificial neural network for power system security enhancement including control action
Machine learning modelling of structural response for different seismic signal characteristics: A parametric analysis
An extended outranking approach for multi-criteria decision-making problems with linguistic intuitionistic fuzzy numbers
A novel context sensitive multilevel thresholding for image segmentation
Fault location of distribution network with distributed generation based on the quantum ant colony algorithm
FFNN architecture implementation on FPGA for seizure detection using EEG signals
A support vector regression (SVR)-based method for dynamic load identification using heterogeneous responses under interval uncertainties
Integration of efficient multi-objective ant-colony and a heuristic method to solve a novel multi-objective mixed load school bus routing model
Application of improved firefly algorithm for programmed PWM in multilevel inverter with adjustable DC sources
A note on the TOPSIS method in MADM problems with linguistic evaluations
A space-reduction based three-phase approach for large-scale optimization
A Physarum-inspired optimization algorithm for load-shedding problem
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection
Assessing middle managers' digital competency in manufacturing transformation: An integrated type-2 neutrosophic ExpTODIM approach
Traffic trajectory generation via conditional Generative Adversarial Networks for transportation Metaverse
Linear and sigmoidal fuzzy cognitive maps: An analysis of fixed points
Evolutionary strategies as applied to shear strain effects in reinforced concrete beams
Fuzzy granulation and constraint neighbourhood granulation structure for object classification in unevenly illuminated images
Semi-supervised few-shot learning via ensemble-based adaptive clustering-aware pseudo-labeling
Semi-supervised topo-Bayesian ARTMAP for noisy data
Control strategy PSO
Two-stage meta-heuristic for part-packing and build-scheduling problem in parallel additive manufacturing
Temperature sensor signal reconstruction for failure detection of vapor compression system
Fuzzy regression functions with a noise cluster and the impact of outliers on mainstream machine learning methods in the regression setting
Sequential spectral clustering of hyperspectral remote sensing image over bipartite graph
Category-level pipe pose and size estimation via geometry-aware adaptive curvature convolution
Space-depth mutual compensation for fine-grained fabric defect detection model
Hybrid system of ART and RBF neural networks for online clustering
Adaptive Management of Multimodal Biometrics - A Deep Learning and Metaheuristic Approach
Enhancing risk management efficiency for building information modelling application via basic uncertain linguistic large-scale group decision making
Ensemble of evolving data clouds and fuzzy models for weather time series prediction
Country-level assessment of COVID-19 performance: A cluster-based MACONT-CRITIC analysis
Measuring building information modeling user satisfaction by using active interpretable machine learning
Enhancing scalability and accuracy of recommendation systems using unsupervised learning and particle swarm optimization
A prototype classifier based on gravitational search algorithm
NSGA-III-SD based Fuzzy energy management system optimization for lithium battery/supercapacitor HEV
A nonlinear model and an algorithm for identifying cancer driver pathways
Optimal capacitor placement and sizing using Fuzzy-DE and Fuzzy-MAPSO methods
A light spatial-frequency network for robust iris segmentation and localization
Bimodal valley switching surrogate-assisted optimization and its application for wireless sensor networks
Z-number integrated weighted VIKOR technique for hazard prioritization and its application in virtual prototype based EOT crane operations
Rethinking superpixel segmentation from biologically inspired mechanisms
Forecasting crude oil prices based on variational mode decomposition and random sparse Bayesian learning
Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation
Reinforcement learning driven heuristic for two-dimensional bandwidth minimization
Machine learning-based adaptive large neighborhood search algorithm for the integrated vessel scheduling and speed optimization problem in the compound channel
A patent text-based product conceptual design decision-making approach considering the fusion of incomplete evaluation semantic and scheme beliefs
Solving nonlinear systems of functional equations with fuzzy adaptive simulated annealing
A gradient-based approach for adversarial attack on deep learning-based network intrusion detection systems
Click-event sound detection in automotive industry using machine/deep learning
A class-specific feature selection and classification approach using neighborhood rough set and K-nearest neighbor theories
A neural clustering and classification system for sales forecasting of new apparel items
Skeleton-based robust registration framework for corrupted 3D point clouds
A hybrid CMA-ES and HDE optimisation algorithm with application to solar energy potential
Flexible assembly job shop scheduling problem considering reconfigurable machine: A cooperative co-evolutionary matheuristic algorithm
Optimizing wave energy converter layouts in real ocean conditions with a multi-layered spherical evolutionary algorithm
Application of artificial neural network for predicting weld quality in laser transmission welding of thermoplastics
Robust template matching with angle location using dynamic feature pairs updating
Modeling energy flow in natural gas networks using time series disaggregation and fuzzy systems tuned by particle swarm optimization
Hybrid ANFIS-PSO approach for predicting optimum parameters of a protective spur dike
A two-stage coevolutionary algorithm based on adaptive weights for complex constrained multiobjective optimization
A hierarchical deep learning-based recurrent convolutional neural network for robust voltage and frequency operation management in microgrids
Improving hybrid ad hoc networks: The election of gateways
Ensemble-learning based neural networks for novelty detection in multi-class systems
The automatic segmentation of residential solar panels based on satellite images: A cross learning driven U-Net method
Physics-informed neural control for mitigating flood effects: A case study based on a simulated hydrographic basin
A self-evolving functional-linked wavelet neural network for control applications
A decomposition-based many-objective artificial bee colony algorithm with reinforcement learning
Elite-based butterfly optimization algorithm and its application in speckle projection technique
A new global best guided artificial bee colony algorithm with application in robot path planning