yusuke1997/dblp-id-title huggingface dataset:
Rule induction for hierarchical attributes using a rough set for the selection of a green fleet
A residual autoencoder-based transformer for fault detection of multivariate processes
Ballet E-learning using fuzzy set induced posture recognition by piece-wise linear approximation of connected components
Neutrosophic classifier: An extension of fuzzy classifer
TSAKE: A topical and structural automatic keyphrase extractor
Granular fuzzy rule-based model construction under the collaboration of multiple organizations
Mamba-based multi-branch cost aggregation for stereo matching
Multi-Criteria Decision Making techniques for the management of public procurement tenders: A case study
Rough-fuzzy clustering and multiresolution image analysis for text-graphics segmentation
A self-adaptive PSO for joint lot sizing and job shop scheduling with compressible process times
Inter-block ladder-style transformer model with multi-subspace feature adjustment for object re-identification
Stochastic feature compensation methods for speaker verification in noisy environments
Towards generalized expression for schemata count
Unknown web attack threat detection based on large language model
Weighted Superposition Attraction (WSA): A swarm intelligence algorithm for optimization problems - Part 2: Constrained optimization
DTKD-DL: Dual-teacher knowledge distillation with dual-loops for continuous few-shot relation extraction
Adaptive integral neurodynamic model for dynamic nonlinear optimization problems with equality constraints and its application
Active distribution network operational optimization problem: A multi-objective tuna swarm optimization model
An incremental non-iterative learning method for one-layer feedforward neural networks
Optimized recommendations by user profiling using apriori algorithm
Optimization approach of berth-quay crane-truck allocation by the tide, environment and uncertainty factors based on chaos quantum adaptive seagull optimization algorithm
Small water body extraction in remote sensing with enhanced CNN architecture
Fault detection in dynamic systems by a Fuzzy/Bayesian network formulation
Population-based discrete state transition algorithm with decomposition and knowledge guidance applied to electrolytic cell maintenance decision
An enhanced ABC algorithm for single machine order acceptance and scheduling with class setups
Identifying critical success factors in Heart Failure Self-Care using fuzzy DEMATEL method
Cooperation and profit allocation for two-echelon logistics pickup and delivery problems with state-space-time networks
A dimensionless model and ant colony optimization fusion temperature prediction in tunnel fires
Pose control of constrained redundant arm using recurrent neural networks and one-iteration computing algorithm
Cryptocurrency malware hunting: A deep Recurrent Neural Network approach
Black box optimization using evolutionary algorithm with novel selection and replacement strategies based on similarity between solutions
Linking soft computing to art: introduction of efficient k-continuous line drawing
Transfer learning with spinally shared layers
Multi-modal multi-trip supply chain model aided by smart contract victim tracking - An innovative pathway to disaster management under uncertainty
Two-level Multi-surrogate Assisted Optimization method for high dimensional nonlinear problems
Developing pessimistic-optimistic risk-based methods for multi-sensor fusion: An interval-valued evidence theory approach
A multiagent system based cuckoo search optimization for parameter identification of photovoltaic cell using Lambert W-function
Parameter-efficient fine-tuning large language model approach for hospital discharge paper summarization
Adaptive fault diagnosis of railway vehicle on-board controller with large language models
Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application
Rough-Set-based timing characteristic analyses of distance protective relay
Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method
Balancing convergence and diversity preservation in dual search space for large scale particle swarm optimization
A systematic fuzzy rule based approach for fault classification in transmission lines
Pareto-optimal solution for fixed-charge solid transportation problem under intuitionistic fuzzy environment
Sentiment-influenced trading system based on multimodal deep reinforcement learning
Graph partitioning by multi-objective real-valued metaheuristics: A comparative study
Tournament-based harmony search algorithm for non-convex economic load dispatch problem
Novel hybrid approach to data-packet-flow prediction for improving network traffic analysis
Ultra-high reliable optimization based on Monte Carlo Tree Search over Nakagami-m Fading
Multi-Manifold based Rotation Forest for classification
A two-stage intrusion detection system with auto-encoder and LSTMs
fiXAIt: A novel feature importance-based XAI tool for enhanced explainability, self-consistency, and computational efficiency
Integrating large language models with cross-modal data fusion for advanced intelligent transportation systems in sustainable cities development
A novel self-constructing Radial Basis Function Neural-Fuzzy System
MISPSO-Attack: An efficient adversarial watermarking attack based on multiple initial solution particle swarm optimization
Generalized intuitionistic fuzzy soft sets with applications in decision-making
Adaptive SV-Borderline SMOTE-SVM algorithm for imbalanced data classification
Electrical load forecasting: A deep learning approach based on K -nearest neighbors
Image inpainting based on CNN-Transformer framework via structure and texture restoration
Fuzzy stochastic price scenario based portfolio selection and its application to BSE using genetic algorithm
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset
Decentralized adaptive neural network control of cascaded DC-DC converters with high voltage conversion ratio
A sample subspace optimization-based framework for addressing mislabeling in self-labeled semi-supervised classification
End-to-end predictive intelligence diagnosis in brain tumor using lightweight neural network
Enhanced N-BEATS for mid-term electricity demand forecasting
An Unequal Multi-hop Balanced Immune Clustering protocol for wireless sensor networks
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization
A matrix norm-based Pythagorean fuzzy metric and its application in MEREC-SWARA-VIKOR framework for solar panel selection
Detection of abnormalities in lumbar discs from clinical lumbar MRI with hybrid models
On the applicability of the minimal configured hierarchical fuzzy control and its relevance to function approximation
Co-scheduling of lock and water-land transshipment for ships passing the dam
Editorial for Special Issue on "Expert decision making for data analytics with applications"
Automatic model construction for the behavior of human crowds
WhoReview: A multi-objective search-based approach for code reviewers recommendation in modern code review
A sensitivity analysis method for driving the Artificial Bee Colony algorithm's search process
Neural speed estimator for line-connected induction motor embedded in a digital processor
Imprecise weighted extensions of random forests for classification and regression
Induced generalized hesitant fuzzy Shapley hybrid operators and their application in multi-attribute decision making
A high resolution Physics-informed neural networks for high-dimensional convection-diffusion-reaction equations
Multi-scale decomposition based supervised single channel deep speech enhancement
Aircraft longitudinal motion control based on Takagi-Sugeno fuzzy model
Client selection based weighted federated few-shot learning
Multi-objective transmission congestion management considering demand response programs and generation rescheduling
Genetically-modified Multi-objective Particle Swarm Optimization approach for high-performance computing workflow scheduling
Designing a model of FANP in brand image decision-making
Heuristics-based influence maximization for opinion formation in social networks
A scheduling and planning method for geological disasters
A novel adaptive e-learning model based on Big Data by using competence-based knowledge and social learner activities
Reliable simulation-optimization of traffic lights in a real-world city
A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture
Complemented subspace-based weighted collaborative representation model for imbalanced learning
Effective optic disc detection method based on swarm intelligence techniques and novel pre-processing steps
Multi-class imbalanced enterprise credit evaluation based on asymmetric bagging combined with light gradient boosting machine
Correlation-based feature selection using bio-inspired algorithms and optimized KELM classifier for glaucoma diagnosis
Multimodal particle swarm optimization for feature selection
A decomposition approach for large-scale non-separable optimization problems
A predictive and probabilistic load-balancing algorithm for cluster-based web servers
Computing mean absolute deviation under uncertainty
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time
An adaptive genetic algorithm as a supporting mechanism for microscopy image analysis in a cascade of convolution neural networks
Estimating job cycle time in a wafer fabrication factory: A novel and effective approach based on post-classification
An optimized equation based on the gene expression programming method for estimating tunnel construction costs considering a variety of variables and indexes
Enhancing credibility assessment in online social networks using multimodal deep learning
Reinforcement learning of competitive and cooperative skills in soccer agents
Cutset-type possibilistic c-means clustering algorithm
A dynamic scheme for collaborative redundant manipulators aided with neural networks in a competitive manner
An effective memetic algorithm for the close-enough traveling salesman problem
Exploring spatial-temporal relations via deep convolutional neural networks for traffic flow prediction with incomplete data
An investigation of the suitability of Artificial Neural Networks for the prediction of core and local skin temperatures when trained with a large and gender-balanced database
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment
Solving an imperfect EPQ model with safety stock for type-I and type-II screening error under constrained fuzzy Newton interpolation approach
A new fuzzy approach based on BWM and fuzzy preference programming for hospital performance evaluation: A case study
Image processing meets time series analysis: Predicting Forex profitable technical pattern positions
An RUL prediction approach for lithium-ion battery based on SADE-MESN
Research on WNN soft fault diagnosis for analog circuit based on adaptive UKF algorithm
A fuzzy Kano model proposal for sustainable product design: Mobile application feature analysis
Enhancing exchange rate forecasting with contextual sentiment indices: A fine-tuned FinBERT approach
Hospital readmission prediction based on long-term and short-term information fusion
A novel approach for measuring hyperspectral similarity
Fuzzy cognitive map based quality function deployment approach for dishwasher machine selection
Soft computing in big data intelligent transportation systems
Flipped classroom supported by music combined with deep learning applied in physical education
Market intelligence applications leveraging a product-specific Sentence-RoBERTa model
Improving the prediction and parsimony of ARX models using multiscale estimation
Efficient mining product-based fuzzy association rules through central limit theorem
Adaptive Masked Autoencoder Transformer for image classification
A smart contract vulnerability line detection method based on graph neural network and fusion of multidimensional code representation
Dynamic-informed machine learning: Data-driven reconstruction of delay differential equations models
Modeling barriers to the adoption of metaverse in the construction industry: An application of fuzzy-DEMATEL approach
Meta-association rules for mining interesting associations in multiple datasets
Optimal wind turbines placement within a distribution market environment
A multi-factor evolutionary algorithm for solving the multi-tasking robust optimization problem on networked systems
Combination of classification and regression in decision tree for multi-labeling image annotation and retrieval
Low-epsilon adversarial attack against a neural network online image stream classifier
Training set selection and swarm intelligence for enhanced integration in multiple classifier systems
Simplified swarm optimization for bi-objection active reliability redundancy allocation problems
Fusing feasible search space into PSO for multi-objective cascade reservoir optimization
CMML: Combined metaheuristic-machine learning for adaptable routing in clustered wireless sensor networks
Q -learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem
A multi-objective endocrine PSO algorithm and application
Deep reinforcement learning-based low-latency task offloading for mobile-edge computing networks
Short-term inbound passenger flow prediction at high-speed railway stations considering the departure passenger arrival pattern
Integrating associative rule-based classification with Naïve Bayes for text classification
Artificial neural networks based modeling for solving Volterra integral equations system
Key generation for plain text in stream cipher via bi-objective evolutionary computing
A novel hybrid Coyote-Particle Swarm Optimization Algorithm for three-dimensional constrained trajectory planning of Unmanned Aerial Vehicle
Multi-objective optimization and multi-attribute decision-making support for optimal operation of multi stakeholder integrated energy systems
Application of triple orbit single unreliable server retrial queue in the diagnostic center using fuzzy approach
Deep Reinforcement Learning based dynamic optimization of bus timetable
Downsizing training data with weighted FCM for predicting the evolution of specific grinding energy with RNNs
Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget
Neural network based on adaptive resonance theory with continuous training for multi-configuration transient stability analysis of electric power systems
Molecular representation contrastive learning via transformer embedding to graph neural networks
Testing the consistency of performance scores reported for binary classification problems
Identifying and prioritizing factors affecting in-cabin passenger comfort on high-speed rail in China: A fuzzy-based linguistic approach
Discernible visualization of high dimensional data using label information
Classical simulation of variational quantum classifiers using tensor rings
Neuro-fuzzy based Indian Topographic map understanding system
Sugeno fuzzy PID tuning, by genetic-neutral for AVR in electrical power generation
Application of LSTM approach for modelling stress-strain behaviour of soil
Dynamic Self-Attention Network based opinion formation over dynamic social networks with application to live-streaming
Structural damage detection using fuzzy cognitive maps and Hebbian learning
A portfolio trading system using a novel pixel graph network for stock selection and a mean-CDaR optimization for portfolio rebalancing
Adversarial sample attacks algorithm based on cycle-consistent generative networks
Soft computing for automated surface quality analysis of exterior car body panels
Comparative analysis of artificial neural networks and dynamic models as virtual sensors
Gray Wolf Optimizer for hyperspectral band selection
A conditional generative adversarial network-based synthetic data augmentation technique for battery state-of-charge estimation
A Simplex Crossover based evolutionary algorithm including the genetic diversity as objective
Supplier selection paradigm: An integrated hierarchical QFD methodology under multiple-criteria environment
Simplex quantum-behaved particle swarm optimization algorithm with application to ecological operation of cascade hydropower reservoirs
Robust supervised rough granular description model with the principle of justifiable granularity
An efficient matheuristic for the minimum-weight dominating set problem
Wind turbine micrositing by using the firefly algorithm
A Metaverse text recognition model based on character-level contrastive learning
A decomposition-based multi-objective optimization approach for balancing the energy consumption of wireless sensor networks
A parallel membrane inspired harmony search for optimization problems: A case study based on a flexible job shop scheduling problem
Neural networks to predict earthquakes in Chile
SupRB in the context of rule-based machine learning methods: A comparative study
A multi-population multi-tasking Tabu Search with Variable Neighborhood Search algorithm to solve post-disaster clustered repairman problem with priorities
A pulsed plasma thruster fault detection and isolation strategy for formation flying of satellites
Repairing the crossover rate in adaptive differential evolution
BORF: A Bayesian optimized random forest for prediction of aerosol extinction coefficient from Mie Lidar signal
A novel bilateral impedance controls for underwater tele-operation systems
Fuzzy kernel hyperball perceptron
Inverse problem based differential evolution for efficient structural health monitoring of trusses
Vision Transformer with window sequence merging mechanism for image classification
Strategic system selection with linguistic preferences and grey information using MCDM
Secure and economical multi-cloud storage policy with NSGA-II-C
A graph neural network model for deciphering the biological mechanisms of plant electrical signal classification
Federated learning for COVID-19 screening from Chest X-ray images
Using entropy maximisation for establishing city-wide touristic tour patterns
Role-aware adapters for dialogue summarization in Seq2Seq models
Optimizing islanded microgrid scheduling with reinforcement learning enhanced multi-strategy cuckoo search algorithm
A simultaneous facility location, vehicle routing and dynamic pricing in a distribution network
Quantum-inspired optimization algorithm with adaptive correction of energy position: Methodology and a case study
On performance of case-based reasoning in Chinese business failure prediction from sensitivity, specificity, positive and negative values
ELTHON: An Escher-like Tile design method using Hierarchical Optimization
Analyzing the performance of classical consensus models in large scale group decision making: A comparative study
Adaptive state feedback speed controller for PMSM based on Artificial Bee Colony algorithm
Adaptation and interaction in dynamical systems: Modelling and rule discovery through evolving connectionist systems
A discrete artificial bee colony algorithm for the distributed heterogeneous no-wait flowshop scheduling problem
A conglomerated ion-motion and crisscross search optimizer for electric power load dispatch
RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints
Intelligent facial emotion recognition using a layered encoding cascade optimization model
MJaya-ELM: A Jaya algorithm with mutation and extreme learning machine based approach for sensorineural hearing loss detection
Supervised fuzzy reinforcement learning for robot navigation
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study
CLUSTMOSA: Clustering for GPS trajectory data based on multi-objective simulated annealing to develop mobility application
A distance-type-insensitive clustering approach
On the need for augmented appraisal degrees to handle experience-based evaluations
PSOGSA-Explore: A new hybrid metaheuristic approach for beampattern optimization in collaborative beamforming
Differential evolution using ancestor tree for service restoration in power distribution systems
Medical image zero watermarking algorithm based on dual-tree complex wavelet transform, AlexNet and discrete cosine transform
Balancing and sequencing problem of mixed-model U-shaped robotic assembly line: Mathematical model and dragonfly algorithm based approach
Multi-index prediction and optimal decision-making method for the cement calcining process
Efficient face anti-spoofing via head-aware transformer based knowledge distillation with 5 MB model parameters
A hybrid immune simulated annealing algorithm for the job shop scheduling problem
Optimized ensemble highest ranking-based trio-phased intelligent skin cancer detection: Contribution of deep learning
A novel artificial bee colony algorithm for the workforce scheduling and balancing problem in sub-assembly lines with limited buffers
CELOF: Effective and fast memory efficient local outlier detection in high-dimensional data streams
Survivability evaluation towards attacked WSNs based on stochastic game and continuous-time Markov chain
Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm
Swarm robotics search & rescue: A novel artificial intelligence-inspired optimization approach
USVDD: A one-class outlier detection method with imprecisely- observed data
Study of differential search algorithm based automatic generation control of an interconnected thermal-thermal system with governor dead-band
Metaheuristics based long short term memory optimization for sentiment analysis
A nondominated sorting simplified swarm optimization with local search mechanisms for multi-objective vehicle routing problems with time windows
Random forest-based small training dataset complementation and features selection for capacity estimation of lithium-ion batteries in electric-powered application
Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting
Differentiable architecture search for GANs with rollback mechanism
A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model
Using an unsupervised approach of Probabilistic Neural Network (PNN) for land use classification from multitemporal satellite images
Purchasing decision of machine tool by exploiting uncertain information in nested probabilistic linguistic model
Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection
Bayesian sample steered discriminative regression for biometric image classification
Fuzzy decision by opinion score method
Interpretable Temporal Attention Network for COVID-19 forecasting
GSETSK: a generic self-evolving TSK fuzzy neural network with a novel Hebbian-based rule reduction approach
Navigating the unseen: System-enhanced real-time perception and decision-making for negative obstacle avoidance in autonomous vehicles
Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi-Sugeno-Kang fuzzy logic autopilots
Evaluation of urban taxi-carpooling matching schemes based on entropy weight fuzzy matter-element
Defending against XML-related attacks in e-commerce applications with predictive fuzzy associative rules
A selection hyper-heuristic algorithm with Q-learning mechanism
SCGAFusion: A skip-connecting group convolutional attention network for infrared and visible image fusion
Modeling of true triaxial strength of rocks based on optimized genetic programming
An advanced neural network based solution to enforce dispatch continuity in smart grids