yusuke1997/dblp-id-title huggingface dataset:
Area and power optimization approach for mixed polarity Reed-Muller logic circuits based on multi-strategy bacterial foraging algorithm
Fuzzy Linear regression based on approximate Bayesian computation
Accuracy and computational efficiency of suboptimal nonlinear predictive control based on neural models
Interval-valued spherical fuzzy MABAC method based on Dombi aggregation operators with unknown attribute weights to select plastic waste management process
A Pareto Front grid guided multi-objective evolutionary algorithm
Enhancing driver attention and road safety through EEG-informed deep reinforcement learning and soft computing
Trust based consensus model for social network in an incomplete linguistic information context
An alternating direction multiplier method with variable neighborhood search for electric vehicle routing problem with time windows and battery swapping stations
Dexterous workspace optimization for a six degree-of-freedom parallel manipulator based on surrogate-assisted constrained differential evolution
Fault diagnosis of ball bearings using continuous wavelet transform
Efficient (2N+1) selective harmonic elimination in modular multilevel converters using an evolutionary many-tasking approach with prior knowledge
Data-driven soft sensor for animal cell suspension culture process based on DRVM
Smiling at evolution
A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing
Modified cuckoo optimization algorithm (MCOA) to solve graph coloring problem
Special issue on soft computing for dynamic data mining
Physical-aware uncertainty prompt learning for real-world blind image restoration
GA optimization of Petri net-modeled concurrent service systems
Brain tumor detection with multi-scale fractal feature network and fractal residual learning
Tensor alternating least squares grey model and its application to short-term traffic flows
Advanced traffic congestion early warning system based on traffic flow forecasting and extenics evaluation
Brake light detection of vehicles using differential evolution based neural architecture search
The hierarchical and stochastic VIKOR to deal with imprecise and missing information
Optimal training subset in a support vector regression electric load forecasting model
A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems
A multi-criteria decision-making approach using bipolar fuzzy numbers for optimizing two-sided matching in technology transfer decisions
Image-based security techniques for water critical infrastructure surveillance
Ordinal proximity measures in the context of unbalanced qualitative scales and some applications to consensus and clustering
A decision fusion based methodology for fault Prognostic and Health Management of complex systems
Large-scale cyber attacks monitoring using Evolving Cauchy Possibilistic Clustering
LAnoBERT: System log anomaly detection based on BERT masked language model
An efficient modified grey wolf optimizer with Lévy flight for optimization tasks
A cosine similarity based QUALIFLEX approach with hesitant fuzzy linguistic term sets for financial performance evaluation
Zero-inflated Tweedie boosted trees with CatBoost for Insurance loss analytics
A computational tool for trend analysis and forecast of the COVID-19 pandemic
EEG-based emotion recognition using MobileNet Recurrent Neural Network with time-frequency features
Using hybrid MCDM to evaluate the service quality expectation in linguistic preference
Lyapunov stabilization of the nonlinear control systems via the neural networks
Nonlinear model identification and adaptive control of CO 2 sequestration process in saline aquifers using artificial neural networks
Routing optimization of emergency grain distribution vehicles using the immune ant colony optimization algorithm
Multi-center variable-scale search algorithm for combinatorial optimization problems with the multimodal property
A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting
Deep learning modeling of public's sentiments towards temporal evolution of COVID-19 transmission
A software system for collaborative robotics applications and its application in particle swarm optimization implementations
A parallel particle swarm optimization algorithm based on GPU/CUDA
Embedding neural sampling and adversarial bandit into gene expression programming for symbolic regression
Human action recognition using two-stream attention based LSTM networks
GPU-based acceleration of evolutionary induction of model trees
Towards fine-grained maize tassel flowering status recognition: Dataset, theory and practice
A modified two-part wolf pack search algorithm for the multiple traveling salesmen problem
Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization
Guided Stochastic Gradient Descent Algorithm for inconsistent datasets
Bi-objective multi-mode resource-constrained multi-project scheduling using combined NSGA II and Q-learning algorithm
Deep infrared pedestrian classification based on automatic image matting
TFETformer: A temporal-frequency enhanced Transformer for tool wear monitoring
A new approach to robust economic design of control charts
A novel state space representation for the solution of 2D-HP protein folding problem using reinforcement learning methods
A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification
Natural language report of the composting process status using linguistic perception
A dynamic learning-based genetic algorithm for scheduling resource-constrained projects with alternative subgraphs
Fundamental matrix estimation by multiobjective genetic algorithm with Taguchi's method
An optimized deep nonlinear integrated framework for wind speed forecasting and uncertainty analysis
An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets
A soft computing system for day-ahead electricity price forecasting
Estimation of operating blast furnace reactor invisible interior surface using Differential Evolution
Adaptive search strategy based chemical reaction optimization scheme for task scheduling in discrete multiphysical coupling applications
A new hybrid multi-start tabu search for finding hidden purchase decision strategies in WWW based on eye-movements
Robot learning through observation via coarse-to-fine grained video summarization
Dynamic task allocation in multi autonomous underwater vehicle confrontational games with multi-objective evaluation model and particle swarm optimization algorithm
Weighted error-output recurrent Xavier echo state network for concept drift handling in water level prediction
Many-objective evolutionary algorithm based on adaptive weighted decomposition
Optimized Bayesian convolutional neural networks for invasive breast cancer diagnosis system
Sparse large-scale high-order fuzzy cognitive maps guided by spearman correlation coefficient
Identifying association rules of specific later-marketed products
Pattern classification based on regional models
Data-driven multi-step energy consumption forecasting with complex seasonality patterns and exogenous variables: Model accuracy assessment in change point neighborhoods
Multi-Layer Selector(MLS): Dynamic selection based on filtering some competence measures
Scheduling different types of vehicles in distribution centers with fixed due dates and packed shipments
A type-3 fuzzy control for current sharing and voltage balancing in microgrids
Accelerating Gaussian Process surrogate modeling using Compositional Kernel Learning and multi-stage sampling framework
SimU-TACS: Ant Colony System for a planning problem in health simulation training
Affine invariant object shape matching using genetic algorithm with multi-parent orthogonal recombination and migrant principle
Hyperparameter optimization of two-branch neural networks in multi-target prediction
Visualization and dynamic evaluation model of corporate financial structure with self-organizing map and support vector regression
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification
Tensor product graph diffusion based on nonlinear fusion of multi-source information to predict circRNA-disease associations
Contrastive learning based self-supervised time-series analysis
An evolving learning style detection approach for online education using bipartite graph embedding
Developing seasonal z-number regression for waste-disposal forecasting in a Taiwanese hospital
A deep learned fuzzy control for inertial sensing: Micro electro mechanical systems
Three-way multi-label classification: A review, a framework, and new challenges
A dissipative structure theory based emotion updating method applied to multi-stage emergency decision making
Masked Conditional Neural Networks for sound classification
Integration of Z-numbers and Bayesian decision theory: A hybrid approach to decision making under uncertainty and imprecision
Adaptive neural controller for cooperative multiple robot manipulator system manipulating a single rigid object
A swarm intelligence-based robotic search algorithm integrated with game theory
Evidential reasoning-based Fuzzy AHP approach for the evaluation of design alternatives' environmental performances
Evolutionary hash functions for specific domains
Mining fuzzy temporal association rules by item lifespans
Soil micromorphological image classification using deep learning: The porosity parameter
Optimal design of interval type 2 fuzzy controllers based on a simple tuning algorithm
Data-driven time series prediction based on multiplicative neuron model artificial neuron network
Hesitant convolutional neural networks and intelligent drive algorithm fused subjective guidance
A fuzzy cognitive map of the psychosocial determinants of obesity
A physics-informed mitigation method for DC microgrids under cyber attacks
Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis
Automatic paper writing based on a RNN and the TextRank algorithm
A group medical diagnosis model based on intuitionistic fuzzy soft sets
Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies
Identifying good algorithm parameters in evolutionary multi- and many-objective optimisation: A visualisation approach
Dynamic assessment of Internet public opinions based on the probabilistic linguistic Bayesian network and Prospect theory
A flocking-based approach to maintain connectivity in mobile wireless ad hoc networks
Interactive ontology matching based on partial reference alignment
A dynamic programming approach for finding shortest chains in a fuzzy network
Using differential evolution for fine tuning naïve Bayesian classifiers and its application for text classification
Unsupervised adversarial and cycle consistent feature extraction network for intelligent fault diagnosis
Design and modeling of adaptive IIR filtering systems using a weighted sum - variable length particle swarm optimization
A dissolved oxygen levels prediction method based on single-hidden layer feedforward neural network using neighborhood information metric
Knowledge distilling based model compression and feature learning in fault diagnosis
A hybrid approach for forecasting ship motion using CNN-GRU-AM and GCWOA
Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack
Secure information hiding: A scheme combining chaotic secret sharing and GAN-based encoding
Complex agent networks: An emerging approach for modeling complex systems
An intuitionistic fuzzy system for time series analysis in plant monitoring and diagnosis
Solving the team orienteering problem using effective multi-start simulated annealing
Slime mould algorithm with mechanism of leadership and self-phagocytosis for multilevel thresholding of color image
Decision support system of unplanned dilution and ore-loss in underground stoping operations using a neuro-fuzzy system
Tracking performance control of a cable communicated underwater vehicle using adaptive neural network controllers
Optimization methodology based on neural networks and self-adaptive differential evolution algorithm applied to an aerobic fermentation process
Interactive Fuzzy Interval Reasoning for smart Web shopping
Optimization of urban heat effect mitigation based on multi-type ant colony algorithm
Multi-objective scheduling strategy for scientific workflows in cloud environment: A Firefly-based approach
Enhanced global optimization methods applied to complex fisheries stock assessment models
Assessing solution quality of biobjective 0-1 knapsack problem using evolutionary and heuristic algorithms
A fusion algorithm based on whale and grey wolf optimization algorithm for solving real-world optimization problems
Bug report severity prediction based on text embedding via graph transformer
An improved adaptive human learning algorithm for engineering optimization
Deterministic Sampling Classifier with weighted Bagging for drifted imbalanced data stream classification
Broad fuzzy cognitive map systems for time series classification
Uncertain linear programming with cloud set constraints integrating fuzziness and randomness
Stability analysis of RBF network-based state-dependent autoregressive model for nonlinear time series
A review on the design and optimization of interval type-2 fuzzy controllers
Study on multi-center fuzzy C-means algorithm based on transitive closure and spectral clustering
A dendrite net learning multi-objective artificial bee colony algorithm for UAV
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?
Clustering right-skewed data stream via Birnbaum-Saunders mixture models: A flexible approach based on fuzzy clustering algorithm
Metaheuristic-optimized hybrid machine learning framework for rutting prediction in flexible pavements considering M&R activities
Rime algorithm with partial reinforcement and edge strategies for lupus nephritis image segmentation
Automatic optimization for generating adversarial malware based on prioritized evolutionary computing
A network security situation assessment method based on adversarial deep learning
Neural networks for load torque monitoring of an induction motor
Robust multiobjective optimisation for fuzzy job shop problems
Bio-inspired computational heuristics to study the boundary layer flow of the Falkner-Scan system with mass transfer and wall stretching
A hybrid evolutionary framework assisted by reinforcement learning for mixed multi-objective optimization features
Uncertainty awareness in transmission line fault analysis: A deep learning based approach
Exactly satisfying initial conditions neural network models for numerical treatment of first Painlevé equation
Fairness in examination timetabling: Student preferences and extended formulations
Application of random triangular and Gaussian type-2 fuzzy variable to solve fixed charge multi-item four dimensional transportation problem
A positive real order weakening buffer operator and its applications in grey prediction model
Controlling a drone: Comparison between a based model method and a fuzzy inference system
Inspection by exception: A new machine learning-based approach for multistage manufacturing
Classification of diabetic retinopathy with feature selection over deep features using nature-inspired wrapper methods
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery
Neutrosophic data envelopment analysis based on parametric ranking method
A directed batch growing self-organizing map based niching differential evolution for multimodal optimization problems
Optimal coordination of over-current relay in a power distribution network using opposition based learning fractional order class topper optimization (OBL-FOCTO) algorithm
Exploiting local label correlation from sample perspective for multi-label classification via three-way decision theory
Defect classification based on deep features for railway tracks in sustainable transportation
Dynamic data assigning assessment clustering of streaming data
Adaptive reinforcement learning-based control using proximal policy optimization and slime mould algorithm with experimental tower crane system validation
Order book mid-price movement inference by CatBoost classifier from convolutional feature maps
Cooperation and profit allocation in two-echelon logistics joint distribution network optimization
A surrogate-assisted evolutionary algorithm based on the genetic diversity objective
A framework for predicting the remaining useful life of machinery working under time-varying operational conditions
An RBFN-Wiener hybrid filter using higher order signal statistics
Corrigendum to "Dynamic data mining technique for rules extraction in a process of battery charging" [Appl. Soft Compututing 8 (3) 1252-1258]
An optimal relevance vector machine with a modified degradation model for remaining useful lifetime prediction of lithium-ion batteries
Dual residual learning of frequency fingerprints in detecting synthesized biomedical imagery
Novel hybrid object-based non-parametric clustering approach for grouping similar objects in specific visual domains
An indicator and adaptive region division based evolutionary algorithm for many-objective optimization
Fixing the inconsistencies of continuous changing operations in fuzzy spatiotemporal RDF graph
A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems
Fuzzy cognitive maps for artificial emotions forecasting
Adaptive simulation budget allocation in Simulation assisted Differential Evolution algorithm
Multi-scale covering rough sets with applications to data classification
A new incomplete pattern belief classification method with multiple estimations based on KNN
How to stop undesired propagations by using bi-level genetic algorithms
Efficient and privacy-preserving deep inference towards cloud-edge collaborative
Safety management of waterway congestions under dynamic risk conditions - A case study of the Yangtze River
A practical regularity model based evolutionary algorithm for multiobjective optimization
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system
Novel adaptive genetic algorithm sample consensus
Improving the performance of multi-layer perceptron and radial basis function models with a decision tree model to predict flow variables in a sharp 90° bend
An integrated recommender system for multi-day tourist itinerary
A fast and robust ensemble evolving pixel cloud-based image segmentation approach
Multi-colony bacteria foraging optimization with cell-to-cell communication for RFID network planning
Memetic Elitist Pareto Differential Evolution algorithm based Radial Basis Function Networks for classification problems
Quality of service objectives for vehicle routing problem with time windows
A Self-adaptive neuroevolution approach to constructing Deep Neural Network architectures across different types
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction
Evolving neurocomputing systems for horticulture applications
A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring
A constrained portfolio selection model at considering risk-adjusted measure by using hybrid meta-heuristic algorithms
A learning-based metaheuristic administered positioning model for 3D IoT networks
Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification
Explosion gravitation field algorithm with dust sampling for unconstrained optimization
Diverse partner selection with brood recombination in genetic programming
Identifying and properly handling context in crowdsourcing
An interpretable evolutionary broad learning system for damage identification in aircraft structures using Lamb waves
Dual-branch fusion network with mutual learning for 12-lead electrocardiogram signal classification
A dynamic multi-objective optimization based on knowledge prediction and density clustering strategy
Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC
Combined use of principal component analysis and self organisation map for condition monitoring in pickling process
Temporal Convolutional Networks with RNN approach for chaotic time series prediction
The predictive accuracy of feed forward neural networks and multiple regression in the case of heteroscedastic data
Intelligent process instruction generation method: Combining large-scale pre-trained language model and multi-reasoning
An attention-based multiple band interaction network for motor imagery EEG decoding
A matheuristic for making order acceptance decisions in multi-product, multi-stage manufacturing systems
Ensemble selector mixed with pareto optimality to feature reduction
Fuzzy least absolute linear regression
A multiobjective robust controller synthesis approach aided by multicriteria decision analysis
A novel capacity sharing mechanism to collaborative activities in the blood collection process during the COVID-19 outbreak
Robust control of uncertain asymmetric hysteretic nonlinear systems with adaptive neural network disturbance observer
Ludo game-based metaheuristics for global and engineering optimization
A disease diagnosis system for smart healthcare based on fuzzy clustering and battle royale optimization
A novel recursive approach for real-time transient stability assessment based on corrected kinetic energy
A novel coordinated path planning method using k-degree smoothing for multi-UAVs
Failure mode and effects analysis based on rough cloud model and MULTIMOORA method: Application to single-point mooring system
Secure and efficient vehicle control of autonomous vehicles using federated deep reinforcement learning
Aggregating information and ranking alternatives in decision making with intuitionistic multiplicative preference relations
Stable indirect adaptive interval type-2 fuzzy sliding-based control and synchronization of two different chaotic systems
Eagle strategy using uniform mutation and modified whale optimization algorithm for QoS-aware cloud service composition
An iterated local search for the multi-objective permutation flowshop scheduling problem with sequence-dependent setup times
A fuzzy collaborative forecasting approach based on XAI applications for cycle time range estimation
Efficient data management for incoherent ray tracing
A framework for objective image quality measures based on intuitionistic fuzzy sets
Finite-time stabilization of fractional-order neural networks with time-varying delays: A generalized inequality approach and controller design
Using Hill Climb Modular Assembler Encoding and Differential Evolution to evolve modular neuro-controllers of an autonomous underwater vehicle acting as a Magnetic Anomaly Detector
Development and research of triangle-filter convolution neural network for fuel reloading optimization of block-type HTGRs
Optimal power flow using black-hole-based optimization approach
A methodology for using players' chat content for dynamic difficulty adjustment in metaverse multiplayer games
Fuzzy C-Means clustering through SSIM and patch for image segmentation
A credibilistic decision support system for portfolio optimization
Risk evaluation through decision-support architectures in threat assessment and countering terrorism
Evaluation measures for cluster ensembles based on a fuzzy generalized Rand index
Internal fault detection techniques for power transformers
Object detection with a dynamic interactive network based on relational graph routing
Removal of self co-articulation and recognition of dynamic hand gestures using deep architectures
Recursive subspace system identification for parametric fault detection in nonlinear systems
Real-coded adaptive range genetic algorithm applied to transonic wing optimization