yusuke1997/dblp-id-title huggingface dataset:
Range-free 3D node localization in anisotropic wireless sensor networks
GPR target detection using a neural network classifier designed by a multi-objective genetic algorithm
Basic emotion detection accuracy using artificial intelligence approaches in facial emotions recognition system: A systematic review
Pythagorean fuzzy TODIM approach to multi-criteria decision making
Assessment of digital transformation indicators to prioritize sustainable financial services using q-rung orthopair fuzzy rough decision-making model
A multi-agent fuzzy consensus model in a Situation Awareness framework
Learning trustworthy model from noisy labels based on rough set for surface defect detection
An easy-to-use real-world multi-objective optimization problem suite
Fuzzy QoS requirement-aware dynamic service discovery and adaptation
Elastic memory learning for fuzzy inference models
Novel quantum inspired approaches for automatic clustering of gray level images using Particle Swarm Optimization, Spider Monkey Optimization and Ageist Spider Monkey Optimization algorithms
Bio-YOLO: A bio-inspired lightweight small object detection network for aerial images
A dynamic SLAM algorithm based on improved YOLOv9S
A new method for identification of fuzzy models with controllability constraints
MLP-GNAS: Meta-learning-based predictor-assisted Genetic Neural Architecture Search system
Transformer-based identification of stochastic information cascades in social networks using text and image similarity
Iris anti-spoofing through score-level fusion of handcrafted and data-driven features
Censored deep reinforcement patrolling with information criterion for monitoring large water resources using Autonomous Surface Vehicles
A multimodal approach for regional GDP prediction using social media activity and historical information
On compatibility of uncertain additive linguistic preference relations based on the linguistic COWA operator
Fault analysis of photovoltaic based DC microgrid using deep learning randomized neural network
A two-stage granular consensus model for minimum adjustment and minimum cost under Pythagorean fuzzy linguistic information
TAS-TsC: A data-driven framework for Estimating Time of Arrival using Temporal-Attribute-Spatial Tri-space Coordination of truck trajectories
Quantum fuzzy logic for edge detection: A demonstration on NISQ hardware
Application of fuzzy measures in the product appearance value assessment
Multivariate time series anomaly detection: A framework of Hidden Markov Models
Adaptive self-constructing fuzzy neural network controller for hardware implementation of an inverted pendulum system
Churn prediction using comprehensible support vector machine: An analytical CRM application
A methodology for dam parameter identification combining machine learning, multi-objective optimization and multiple decision criteria
Differential evolution with multi-strategies for UAV trajectory planning and point cloud registration
Strategy allocation for financial trading using competitive reinforcement learning and fuzzy logic
Deep learning-based kiwifruit flower recognition method to facilitate automated pollination
Application of multilayer perceptron with data augmentation in nuclear physics
A genetic simulated annealing algorithm for parallel partial disassembly line balancing problem
Integrating multi-dimensional graph attention networks and transformer architecture for predicting air pollution in subway stations
A short-term memory clustering algorithm for evolving data streams
Fusion of region based extracted features for instance- and class-based CBIR applications
Euglena-based neurocomputing with two-dimensional optical feedback on swimming cells in micro-aquariums
Multiobjective synthesis of robust vaccination policies
Collaborative filtering based recommendation of sampling methods for software defect prediction
VHTformer: A joint query perception method for visual-haptic-textual information based on Transformer
Cluster-based prepositioning network for enhanced recovery resilience of critical infrastructure system using multiplex network
Constructing gene regulatory networks from microarray data using GA/PSO with DTW
A real-time fuzzy motion planning system for unmanned aerial vehicles in dynamic 3D environments
Syntactic-geometric-fuzzy hierarchical classifier of contours with application to analysis of bone contours in X-ray images
Lexicographic maximum dynamic evacuation modeling with partial lane reversal based on hesitant fuzzy TOPSIS
Knowledge transfer in evolutionary multi-task optimization: A survey
Combining sparse representation and singular value decomposition for plant recognition
A holonic intelligent decision support system for urban project planning by ant colony optimization algorithm
A representation learning framework for stock movement prediction
Scalable-Width Temporal Edge Detection for Recursive Background Recovery in adaptive background modeling
Human factors risk assessment: An integrated method for improving safety in clinical use of medical devices
A survey: Optimization and applications of evidence fusion algorithm based on Dempster-Shafer theory
Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features
ORESTE methodology within a circular intuitionistic fuzzy framework for preferential outranking in hybrid cloud service selection
Distributed cooperative search method for multi-UAV with unstable communications
Adaptive PI Hermite neural control for MIMO uncertain nonlinear systems
An integrated robust BWM and ExpTODIM method for investment decision-making in new energy vehicle charging infrastructure construction
Gradient Immune-based Sparse Signal Reconstruction Algorithm for Compressive Sensing
A bandwidth sourcing and task allocation model in telecommunications under stochastic QoS guarantees
Tool condition prognostics using logistic regression with penalization and manifold regularization
Constrained differential evolution with multiobjective sorting mutation operators for constrained optimization
Hybrid parallel chaos optimization algorithm with harmony search algorithm
Multi-objective fuzzy multiprocessor flowshop scheduling
Robust least squares twin support vector machine for human activity recognition
A simulation-based modified backtracking search algorithm for multi-objective stochastic flexible job shop scheduling problem with worker flexibility
A decomposition-based many-objective evolutionary algorithm with adaptive weight vector strategy
Adopting microservice architecture: A decision support model based on genetically evolved multi-layer FCM
Ensemble regularized local finite impulse response models and soft sensor application in nonlinear dynamic industrial processes
A hybridization of extended Kalman filter and Ant Colony Optimization for state estimation of nonlinear systems
A new hesitant fuzzy linguistic approach for multiple attribute decision making based on Dempster-Shafer evidence theory
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids
A sensitivity analysis of parameters in an agent-based model for crowd simulations
Extensible Markup Language web data retrieval using hybrid deep learning model
Discovering interesting knowledge from a science and technology database with a genetic algorithm
A Moving Metaverse: QoE challenges and standards requirements for immersive media consumption in autonomous vehicles
Explainable anomaly detection framework for predictive maintenance in manufacturing systems
Applying the fuzzy SERVQUAL method to measure the service quality in certification & inspection industry
A generalized framework for ANFIS synthesis procedures by clustering techniques
Lion swarm optimization algorithm for comparative study with application to optimal dispatch of cascade hydropower stations
Direct adaptive power system stabilizer design using fuzzy wavelet neural network with self-recurrent consequent part
LWP-WL: Link weight prediction based on CNNs and the Weisfeiler-Lehman algorithm
Parallel graph neural architecture search optimization with incomplete features
Overcoming graph topology imbalance for inductive and scalable semi-supervised learning
MAkE: Multiobjective algorithm for k-way equipartitioning of a point set
Multivariate time series anomaly detection via separation, decomposition, and dual transformer-based autoencoder
A novel hybrid stock selection method with stock prediction
Statistical and density-based clustering of geographical flows for crowd movement patterns recognition
A self-adaptive gradient-based particle swarm optimization algorithm with dynamic population topology
Autonomous and deterministic supervised fuzzy clustering with data imputation capabilities
Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network
Evaluating commuters' travel mode choice using the Z-number extension of Parsimonious Best Worst Method
Influence Maximization in social networks using discretized Harris' Hawks Optimization algorithm
A comparative study of partitioning methods for crowd simulations
An open-set fault diagnosis framework for MMCs based on optimized temporal convolutional network
An attribute fuzzy concept-oriented three-way utility decision model in multi-attribute environments
A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images
The fuzzy filter based on the method of areas' ratio
Digital twin model construction of robot and multi-object under stacking environment for grasping planning
Evolutionary Echo State Network: A neuroevolutionary framework for time series prediction
Series clustering and dynamic periodic patching-based transformer for multivariate time series forecasting
Robust color image watermarking algorithm based on synchronization correction with multi-layer perceptron and Cauchy distribution model
PASS-Net: Parameter-adaptive state-space network for real-time and high-accuracy segmentation of industrial surface defects
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions
Multiscale convolutional attention Transformer based on transfer learning for temperature forecasting of ultra-supercritical coal-fired power plant reheater
Stackelberg-Nash equilibrium of pricing and inventory decisions in duopoly supply chains using a nested evolutionary algorithm
Minimum sum coloring for large graphs with extraction and backward expansion search
Adaptive group sample with central momentum contrast loss for unsupervised individual identification of cows in changeable conditions
Semi-supervised regression using diffusion on graphs
A 3D Monte Carlo tree search method for railway alignment optimization
Compression of recurrent neural networks for efficient language modeling
A human learning optimization algorithm and its application to multi-dimensional knapsack problems
An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem
A fuzzy cognitive maps-petri nets energy management system for autonomous polygeneration microgrids
A comparison of humans and machine learning classifiers categorizing emotion from faces with different coverings
A four-stage branch local search algorithm for minimal test cost attribute reduction based on the set covering
Navigational analysis of multiple humanoids using a hybrid regression-fuzzy logic control approach in complex terrains
Policy gradient empowered LSTM with dynamic skips for irregular time series data
Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model
A greedy classification algorithm based on association rule
Multilayer feed forward neural networks for non-linear continuous bidirectional associative memory
Bio-inspired computational heuristics for Sisko fluid flow and heat transfer models
On the use of the differential evolution algorithm for truss-type structures optimization
An algorithm based on ant colony optimization for the minimum connected dominating set problem
A knowledge coverage-based trust propagation for recommendation mechanism in social network group decision making
Comparison of visualization of optimal clustering using self-organizing map and growing hierarchical self-organizing map in cellular manufacturing system
Green AI in the finance industry: Exploring the impact of feature engineering on the accuracy and computational time of Machine Learning models
Automatic clustering using a local search-based human mental search algorithm for image segmentation
Feature selection through adaptive sparse learning for scene recognition
On-line system identification of complex systems using Chebyshev neural networks
A skin lesion segmentation network with edge and body fusion
Topology optimization of trusses considering static and dynamic constraints using the CSS
A niching differential evolution algorithm for the large-scale combined heat and power economic dispatch problem
Multi-reference super-resolution reconstruction of remote sensing images based on hierarchical similarity mapping
Symbolic solution of fractional Volterra population models via physics-informed neural networks and distributed particle swarm optimization
A multi-granularity decision tree algorithm based on variable precision rough sets and Zentropy
A self-adaptive and gradient-based cuckoo search algorithm for global optimization
Noise gradient strategy for an enhanced hybrid convolutional-recurrent deep network to control a self-driving vehicle
Multi-population parallel self-adaptive differential artificial bee colony algorithm with application in large-scale service composition for cloud manufacturing
Swarm intelligent approaches to auto-localization of nodes in static UWB networks
Multi-period scheduling and fleet management in agricultural production logistics: A novel reinforcement learning approach
Dual-scale Contrastive Learning for multi-behavior recommendation
Fuzzy agents for product configuration in collaborative and distributed design process
A new real-coded quantum-inspired evolutionary algorithm for continuous optimization
Two bi-objective hybrid approaches for the frequent subgraph mining problem
RFPruning: A retraining-free pruning method for accelerating convolutional neural networks
Model-based methods for continuous and discrete global optimization
Opinion mining based on fuzzy domain ontology and Support Vector Machine: A proposal to automate online review classification
Convergence analysis of recurrent neural networks based on sparse mechanism and its application to time series and multiple classification problems
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities
Modeling of arsenic, chromium and cadmium removal by nanofiltration process using genetic programming
A novel imperialist competitive algorithm for generalized traveling salesman problems
Suppressed possibilistic fuzzy c-means clustering based on shadow sets for noisy data with imbalanced sizes
Performance analysis of distance metrics on the exploitation properties and convergence behaviour of the conventional firefly algorithm
Perceptual relativity-based semi-supervised dimensionality reduction algorithm
A fuzzy goal programming model in portfolio selection under competitive-cum-compensatory decision strategies
Long-short Term Cross Echo State Network for time series forecasting task
Hybrid-modelling of compact tension energy in high strength pipeline steel using a Gaussian Mixture Model based error compensation
Slope stability evaluation using Gaussian processes with various covariance functions
Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework
Automatic frequency-based feature selection using discrete weighted evolution strategy
An accurate approach of device-free localization with attention empowered residual network
A hybrid method for learning Bayesian networks based on ant colony optimization
An improved ranking method for fuzzy numbers with integral values
Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index
A local and global multi-head relation self-attention network for fault diagnosis of rotating machinery under noisy environments
An RNN-MCDA method to support efficient and stable matching under uncertain preferences in large-scale sharing platforms
Solving the integrated scheduling of production and rail transportation problem by Keshtel algorithm
A Q-learning-oriented multi-objective teaching-learning-based optimization algorithm for balancing U-shaped disassembly lines
WITHDRAWN: Intelligent decision support system for optimizing inventory management under stochastic events
Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition
Daily streamflow forecasting in Sobradinho Reservoir using machine learning models coupled with wavelet transform and bootstrapping
Cybernetic-parsimonious MCDM modeling with application to the adoption of Circular Economy in waste management
A comparative study of spark assisted bending process using teaching-learning based optimization, desirability approach and genetic algorithm
Strengthen EEG-based emotion recognition using firefly integrated optimization algorithm
Scheduling trucks in cross docking systems with temporary storage and repetitive pattern for shipping trucks
Digital workflows for informed decision making in building envelope design: A systematic literature review
Elucidating multiprocessors flow shop scheduling with dependent setup times using a twin particle swarm optimization
End-to-end learning of representations for instance-level document image retrieval
A rough set approach to multiple dataset analysis
Modeling and performance evaluation of wind turbine based on ant colony optimization-extreme learning machine
A computationally efficient genetic algorithm for MIMO broadcast scheduling
Determining the influence and correlation for parameters of flexible forming using the random forest method
Multi-objective fitness landscape-based estimation of distribution algorithm for distributed heterogeneous flexible job shop scheduling problem
Solution to profit based unit commitment problem using particle swarm optimization
Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-grid
A hybrid particle swarm optimization based algorithm for high school timetabling problems
An integrated design concept evaluation method based on best-worst entropy and generalized TODIM considering multiple factors of uncertainty
Virus detection using clonal selection algorithm with Genetic Algorithm (VDC algorithm)
A real-integer-discrete-coded differential evolution
Constructing the geometric Bonferroni mean from the generalized Bonferroni mean with several extensions to linguistic 2-tuples for decision-making
Federated learning frameworks in smart e-healthcare: A systematic literature review with bias evaluation
Artificial neural network based crossover for evolutionary algorithms
A unified transductive and inductive learning framework for Few-Shot Learning using Graph Neural Networks
A hybrid ABC-TS algorithm for the unrelated parallel-batching machines scheduling problem with deteriorating jobs and maintenance activity
WamGLM: A multimodal large-scale language model for wafer map defect information in-depth query through multi-turn dialogue based on prototypical supervised contrastive learning
An interpretable convolutional neural network for nuclear power plant abnormal events
A multi-objective Chaos Game Optimization algorithm based on decomposition and random learning mechanisms for numerical optimization
Optimal design of a quadratic parameter varying vehicle suspension system using contrast-based Fruit Fly Optimisation
Speaker verification using attentive multi-scale convolutional recurrent network
Dynamic ensemble multi-strategy based bald eagle search optimization algorithm: A controller parameters tuning approach
Solving fractional programming problem through fuzzy goal setting and approximation
Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms
A hybrid niching PSO enhanced with recombination-replacement crowding strategy for multimodal function optimization
Imbalanced sample fault diagnosis of rotating machinery using conditional variational auto-encoder generative adversarial network
Assessment of rock slope stability using the Fuzzy Slope Mass Rating (FSMR) system
Improving unbalanced image classification through fine-tuning method of reinforcement learning
Decision-making method combining machine learning and expert subjective judgment and its application to typhoon-induced house damage assessment
Adaptive modulation recognition based on the evolutionary algorithms
Optimizing fairness and utility in healthcare machine learning models
CNNTracker: Online discriminative object tracking via deep convolutional neural network
Portfolio rebalancing with respect to market psychology in a fuzzy environment: A case study in Tehran Stock Exchange
Cultural coalitions detection approach using GPU based on hybrid Bat and Cultural Algorithms
Assessment of metaverse integration options in the higher education institution using interval-valued T-spherical fuzzy-WHMA-CEM-GLDS framework
Particle swarm optimization algorithm using complex-order derivative concept: A comprehensive study
Co-optimization of ampacity and lifetime with considering harmonic and stochastic parameters by Imperialist Competition Algorithm
Cooperative localization for multiple AUVs based on the rough estimation of the measurements
Meta fuzzy functions: Application of recurrent type-1 fuzzy functions
Contrastive learning for unsupervised image-to-image translation
A new image encryption algorithm based on non-adjacent coupled map lattices
Solving the tourist trip design problem with time windows and variable profit using incremental local search
DILA: Dynamic Gaussian Distribution Fitting and Imitation Learning-Based Label Assignment for tiny object detection
jMetalSP: A framework for dynamic multi-objective big data optimization
Multi-agent reinforcement learning system framework based on topological networks in Fourier space
Distributionally robust fuzzy project portfolio optimization problem with interactive returns
Data augmentation based estimation for the censored composite quantile regression neural network model
EEW-SC: Enhanced Entropy-Weighting Subspace Clustering for high dimensional gene expression data clustering analysis
Using fuzzy inference system for architectural space analysis
Learning and processing framework using Fuzzy Deep Neural Network for trading and portfolio rebalancing
Prediction of landslide displacement with controlling factors using extreme learning adaptive neuro-fuzzy inference system (ELANFIS)
Opposition versus randomness in soft computing techniques
Erratum to 'Investigating vesicular selection: A selection operator in in-vitro evolution' [Applied Soft Computing 11/8 (2012) [5528-5550]
Fuzzy clustering in community detection based on nonnegative matrix factorization with two novel evaluation criteria
Non-iterative procedure incorporated into the fuzzy identification on a hybrid method of functional randomization for time series forecasting models
Potential bias when creating a differential-vector movement algorithm
Bayesian network model for quality control with categorical attribute data
A heterogeneous ensemble architecture coupling model selection sorting and residual error iterative correction for crude oil price forecasting
A fuzzy inference and categorization approach for supplier selection using compensatory and non-compensatory decision rules
Directional optimization of elevator scheduling algorithms in complex traffic patterns
A more general reliability allocation method using the hesitant fuzzy linguistic term set and minimal variance OWGA weights