yusuke1997/dblp-id-title huggingface dataset:
Multi-objective trajectory planning for segment assembly robots using a B-spline interpolation- and infeasible-updating non-dominated sorting-based method
Ship collision risk assessment: A multi-criteria decision-making framework based on Dempster-Shafer evidence theory
Data Augmentation by Guided Deep Interpolation
Modified cuckoo search algorithm for the optimal placement of actuators problem
Some sets of orthogonal polynomial kernel functions
Automated segmentation of retinal layers in optical coherence tomography images using Xception70 feature extraction
Prediction and analysis of train arrival delay based on XGBoost and Bayesian optimization
Optimizing deep transfer networks with fruit fly optimization for accurate diagnosis of diabetic retinopathy
Developing a decision support system for logistics service provider selection employing fuzzy MULTIMOORA & BWM in mining equipment manufacturing
Fuzzy rule-based similarity model enables learning from small case bases
Combining experimental design and artificial neural networks for the determination of chlorinated compounds in fish using matrix solid-phase dispersion
Fine-tuning Deep Belief Networks using Harmony Search
A mixing algorithm of ACO and ABC for solving path planning of mobile robot
Gear dynamics monitoring using discrete wavelet transformation and multi-layer perceptron neural networks
Fuzzy spectral clustering with robust spatial information for image segmentation
Bayesian network ensemble models applied to seismic liquefaction prediction based on different in-situ test databases
Optimizing the initial weights of a PID neural network controller for voltage stabilization of microgrids using a PEO-GA algorithm
Quantum-inspired design of resilient substitution boxes: From coding to hardware implementation
Limit surface/states searching algorithm with a deep neural network and Monte Carlo dropout for nuclear power plant safety assessment
A method for seismic fault identification based on self-training with high-stability pseudo-labels
Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM
Multi-agent-based integrated framework for intra-class testing of object-oriented software
Hybrid non-dominated sorting genetic algorithm with adaptive operators selection
T5-based anomaly-behavior video captioning using semantic relation mining
A comprehensive experimental evaluation of orthogonal polynomial expanded random vector functional link neural networks for regression
Reinforcement learning-driven adaptive intelligence for phytochemical optimization in cannabis cultivation using precision agriculture
Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19
Feature based quality assessment of DNA sequencing chromatograms
A comparative trade-off analysis on accuracy and efficiency for federated learning in demand forecasting
Suitability of different neural networks in daily flow forecasting
Decision support system for collision avoidance of vessels
Comparison of data selection methods for modeling chemical processes with artificial neural networks
Multiple-fault detection and identification scheme based on hierarchical self-organizing maps applied to an electric machine
Solving the Multi-robot task allocation with functional tasks based on a hyper-heuristic algorithm
Direct adaptive neural flight control system for an unstable unmanned aircraft
Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems
Unsupervised anomaly detection in unmanned aerial vehicles
A fuzzy robust stochastic model for designing a pharmaceutical supply chain with sustainability and resiliency dimensions
Group decision making in medical system: An intuitionistic fuzzy soft set approach
Mega trend diffusion-siamese network oversampling for imbalanced datasets' SVM classification
A hound-inspired pre-hybridized genetic approach for router placement in wireless mesh networks
Algorithmic stock trading based on ensemble deep neural networks trained with time graph
Large model for fault diagnosis of industrial equipment based on a knowledge graph construction
Detection of malicious URLs using Temporal Convolutional Network and Multi-Head Self-Attention mechanism
A new method of soft computing to estimate the contribution rate of S&T progress on economic growth
Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors
A constructive approach to data-driven randomized learning for feedforward neural networks
Stacking ensemble method for personal credit risk assessment in Peer-to-Peer lending
A group decision-making model based on incomplete comparative expressions with hesitant linguistic terms
Fault detection with confidence level evaluation for perception module of autonomous vehicles based on long short term memory and Gaussian Mixture Model
A T1OWA and aspect-based model for customizing recommendations on eCommerce
An optimum ANN-based breast cancer diagnosis: Bridging gaps between ANN learning and decision-making goals
Intuitionistic fuzzy twin support vector machines with the insensitive pinball loss
A lot streaming scheduling algorithm with variable sub-lots for solving a multi-objective flexible job shop scheduling problem
Cluster ensemble framework based on the group method of data handling
Usage of intelligent medical aided diagnosis system under the deep convolutional neural network in lumbar disc herniation
Fuzzy multi-neighborhood entropy-based interactive feature selection for unsupervised outlier detection
Aspect based sentiment analysis of consumer reviews using unsupervised attention neural framework
A multi-strategy iterated greedy algorithm with three-phase for hybrid flow shop scheduling in distributed factory
A fusion model for multiple partial-order quotient spaces based on three-way decision
Possibilistic chance-constrained data envelopment analysis framework for failure modes and effects analysis
A Two-stage Simulation Assisted Differential Evolution Algorithm for Reliable Chance Constrained Programming with Minimum Risk Level
Hybrid multi-agent framework for detection of stealthy probes
Minimum deviation ordinal consensus reaching in GDM with heterogeneous preference structures
An integrated production and procurement design for a multi-period multi-product manufacturing system with machine assignment and warehouse constraint
Attention based patch mixing network for robust few-shot hyperspectral image classification
Alert correlation in collaborative intelligent intrusion detection systems - A survey
Uncredibility with fuzzy variables in uncertainty and its use in decision support in making sense of heart sounds
Modified differential evolution approach for practical optimal reactive power dispatch of hybrid AC-DC power systems
Multi-objective genetic algorithm with maximum-entropy classification and domain-specific evolutionary operators for microorganism selection on microbiomes
An improved pheromone-based vehicle rerouting system to reduce traffic congestion
A new methodology for Decisions in Medical Informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques
Meta-heuristic approaches for minimizing error in localization of wireless sensor networks
A transformer-based deep learning approach for recognition of forgery methods in spoofing speech attribution
Forecasting in non-stationary environments with fuzzy time series
A Metacognitive Fully Complex Valued Functional Link Network for solving real valued classification problems
Discrete subspace structure constrained human motion capture data recovery
A fuzzy vector valued KNN-algorithm for automatic outlier detection
Risk assessment and dynamic game analysis of sustainable cooperative afforestation
Zero-order TS fuzzy model to predict hydro turbine speed in closed loop operation
A multi-orthogonal prototype contrastive learning framework with feature compression for imbalanced skin lesion classification
Stock index tracking by Pareto efficient genetic algorithm
Enhancing tree-seed algorithm via feed-back mechanism for optimizing continuous problems
Optimal control for stochastic linear quadratic singular neuro Takagi-Sugeno fuzzy system with singular cost using genetic programming
Fully fuzzy fixed charge multi-item solid transportation problem
Graph variational autoencoder with affinity propagation for community-aware anomaly detection in attributed networks
A hybrid computational intelligence framework in modelling of coal-oil agglomeration phenomenon
High-order Adams Network (HIAN) for image dehazing
Improved differential evolution algorithm based convolutional neural network for emotional analysis of music data
Class-specific early exit design methodology for convolutional neural networks
Study of occupational hazards under the environment of interval valued q-rung picture fuzzy sets
Hesitant information sets and application in group decision making
Vector control for loss minimization of induction motor using GA-PSO
Image encryption using DNA complementary rule and chaotic maps
A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method
A three-way conflict analysis model with decision makers' varying preferences
Overview of the multi-dimensional taylor network algorithm in control, prediction, data fitting and diagnosis
Attribute reductions of quantitative dominance-based neighborhood rough sets with A-stochastic transitivity of fuzzy preference relations
Evolving masked low-rank transformer for long text understanding
Power signal classification using dynamic wavelet network
Unconstrained convex minimization based implicit Lagrangian twin random vector Functional-link networks for binary classification (ULTRVFLC)
Deriving the priority weights from hesitant multiplicative preference relations in group decision making
COVID-WideNet - A capsule network for COVID-19 detection
Two-stage genetic algorithm for parallel machines scheduling problem: Cyclic steam stimulation of high viscosity oil reservoirs
Ranking fuzzy numbers based on epsilon-deviation degree
Deep Learning-based Integrated Framework for stock price movement prediction
Using simulated annealing for determination of the capacity of yard stations in a railway industry
Measuring the congruence of fuzzy partitions in fuzzy c-means clustering
Learnable feature alignment with attention-based data augmentation for handling data issue in ancient documents
Robust knowledge distillation based on feature variance against backdoored teacher model
A radial visualization method based on knee point information for many-objective optimization
Short-term forecasting of renewable energy consumption: Augmentation of a modified grey model with a Kalman filter
Fuzzy exponentially weighted moving average control chart for univariate data with a real case application
Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm
A hybrid occlusion free object tracking method using particle filter and modified galaxy based search meta-heuristic algorithm
Numerical algorithms for generating an almost even approximation of the Pareto front in nonlinear multi-objective optimization problems
An improved medical image enhancement scheme using Type II fuzzy set
Differential evolution aided adaptive resource allocation in OFDMA systems with proportional rate constraints
A model for a reliable single allocation hub network design under massive disruption
Face detection and recognition in an unconstrained environment for mobile visual assistive system
Online hierarchical streaming feature selection based on adaptive neighborhood rough set
A graph attention network with contrastive learning for temporal review-based recommendations
Asynchronous accelerating multi-leader salp chains for feature selection
Incremental modeling with rough and fine tuning method
Supervised pre-training for feature extraction in cell type annotation of single-cell multi-omics data
Multi-agent systems for clinical decision support: A systematic review
Non-elastic time series fuzzy clustering for efficient analysis of industrial data sets
Dynamic Histogram Equalization for contrast enhancement for digital images
Hybrid monkey search algorithm for flow shop scheduling problem under makespan and total flow time
An innovative hybrid multi-objective particle swarm optimization with or without constraints handling
Fuzzy-neural self-adapting background modeling with automatic motion analysis for dynamic object detection
Resilient supply chain network design without lagging sustainability responsibilities
Application of self-improving Q-learning controller for a class of dynamical processes: Implementation aspects
Incremental particle swarm optimization for large-scale dynamic optimization with changing variable interactions
Application of possibility-probability distribution in risk analysis of landfall hurricane - A case study along the east coast of the United States
Active modes and switching instants identification for linear switched systems based on Discrete Particle Swarm Optimization
Enhancing dementia prediction models: Leveraging temporal patterns and class-balancing methods
Accelerated biogeography-based optimization with neighborhood search for optimization
Inputting molecular weights into a multilayer perceptron to estimate refractive indices of dialkylimidazolium-based ionic liquids - A purity evaluation
Retraction notice to "On-line system identification of complex systems using Chebyshev neural networks" [Appl. Soft Comput. 7(2007) 364-372]
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction
PRISM: PRIority based SiMulated annealing for a closed loop supply chain network design problem
Criteria system construction for sustainable supplier selection: A product-category-oriented intelligent model
Possibilistic programming approach for fuzzy multidimensional analysis of preference in group decision making
Semantic-based topic model for public opinion analysis in sudden-onset disasters
Evolutionary Algorithm for overlapping community detection using a merged maximal cliques representation scheme
Efficient hyperlink analysis using robust Proportionate Prestige Score in PageRank algorithm
A multi-label text message classification method designed for applications in call/contact centre systems
A multi-attribute decision-making fusion model for stock trading with customizable investor personality traits in a picture fuzzy environment
A clonal selection algorithm for urban bus vehicle scheduling
Federated progressive evolutionary neural architecture search with three-phase acceleration for privacy-preserving medical image segmentation
Application of a new combined intuitionistic fuzzy MCDM approach based on axiomatic design methodology for the supplier selection problem
A maximum power point tracking method for PV system with improved gravitational search algorithm
Robust fusion algorithm based on RBF neural network with TS fuzzy model and its application to infrared flame detection problem
A collaborative competition multitasking framework for constrained multi-objective optimization
A memory based differential evolution algorithm for unconstrained optimization
On segmentation of images having multi-regions using Gaussian type radial basis kernel in fuzzy sets framework
Cleaning decision model of MBR membrane based on Bandelet neural network optimized by improved Bat algorithm
Conic sections fitting in disperse data using Differential Evolution
Midpoint radius self-organizing maps for interval-valued data with telecommunications application
A neural network-based approach for an assembly cell control
Advancing cardiac diagnostics: Exceptional accuracy in abnormal ECG signal classification with cascading deep learning and explainability analysis
An experimental comparison of evolved neural network models for controlling simulated modular soft robots
Solution to global stability of fuzzy regulators via evolutionary computation
ANFIS learning using expectation maximization based Gaussian mixture model and multilayer perceptron learning
Enhancing knowledge distillation via genetic recombination
An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets
Improving generative adversarial network inversion via fine-tuning GAN encoders
A robust power system stabilizer for enhancement of stability in power system using adaptive fuzzy sliding mode control
Co-evolutionary traffic signal control using reinforcement learning for road networks under stochastic capacity
An evolutionary approach to Wall Shear Stress prediction in a grafted artery
A robust MILP and gene expression programming based on heuristic rules for mixed-model multi-manned assembly line balancing
A similarity measure of intuitionistic fuzzy soft sets and its application in medical diagnosis
Particle swarm optimization with Chebychev functional-link network model for engineering design problems
Evaluating CEO hubris effects on sustainable performance in the IC design industry: An integrated dynamic network DEA framework with machine learning
Transformer spectral optimization: From gradient frequency analysis to adaptive spectral integration
Protecting federated learning from malicious attacks using consensus technique
Relaxed observer design of discrete-time nonlinear systems via a novel ranking-based switching mechanism
Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system
An evolutionary algorithm with a history mechanism for tuning a chess evaluation function
Knowledge augmentation-based soft constraints for semi-supervised clustering
Chaotic gravitational constants for the gravitational search algorithm
sEMG-based real-time speech synthesis with feature distillation and dynamic chunk convolution
Indirect adaptive robust mixed H 2 /H ∞ general type-2 fuzzy control of uncertain nonlinear systems
Prioritizing the elective surgery patient admission in a Chinese public tertiary hospital using the hesitant fuzzy linguistic ORESTE method
A decision-making approach using point-cloud-based granular information
A combined fuzzy approach to determine the best region for a nuclear power plant in Turkey
Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+
An initial seed selection algorithm for k-means clustering of georeferenced data to improve replicability of cluster assignments for mapping application
A coevolutionary constrained multi-objective algorithm with a learning constraint boundary
Adaptive multi-population artificial bee colony algorithm based on fitness landscape analysis
Recursive elimination-election algorithms for wrapper feature selection
Solving time varying many-objective TSP with dynamic θ-NSGA-III algorithm
A multivariate methodology combining recurrent neural networks with the modified variable neighborhood search algorithm for unemployment forecasting
Robust observer-based output-feedback control for epidemic models: Positive fuzzy model and separation principle approach
Combining ontology reductions with new approaches to automated abstract planning of Planics
Cloud service selection based on weighted KD tree nearest neighbor search
The impact of topology on energy consumption for collection tree protocols: An experimental assessment through evolutionary computation
Extended semi-supervised fuzzy learning method for nonlinear outliers via pattern discovery
A deep ensemble-based framework for the prediction of oral cancer through histopathological images
RSS-based e-learning recommendations exploiting fuzzy FCA for Knowledge Modeling
Automated Detection of Covid-19 from Chest X-ray scans using an optimized CNN architecture
Feature selection for modular GA-based classification
A fuzzy optimization model based on chaotic quantum AHA for offshore wind farm operation and maintenance scheduling problem
Multi-objective ensemble forecasting with an application to power transformers
Analysis of the socioeconomic impact due to COVID-19 using a deep clustering approach
Soft computing based multi-objective optimization of Brayton cycle power plant with isothermal heat addition using evolutionary algorithm and decision making
A two-phase quasi-affine transformation evolution with feedback for parameter identification of photovoltaic models
Dynamic rough clustering and its applications
Fuzzy Self-tuning Bees Algorithm for designing optimal product lines
An adaptive Harris hawks optimization technique for two dimensional grey gradient based multilevel image thresholding
MoBLS: A broad learning system with multi-objective optimization
Multi-level learning based memetic algorithm for community detection
Joint operations algorithm for large-scale global optimization
Using complexity measures to determine the structure of directed acyclic graphs in multiclass classification
Topology-aware road crack semantic segmentation via multiscale stripe pyramid and cross-layer directional attention
Integrated fuzzy logic and genetic algorithmic approach for simultaneous localization and mapping of mobile robots
A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables
Artificial neural networks based Internet hypertension prediction tool development and validation
A complex network-based firefly algorithm for numerical optimization and time series forecasting
Single machine scheduling with two-agent for total weighted completion time objectives
Dynamic discreduction using Rough Sets
Area temperature system monitoring and computing based on adaptive fuzzy logic in wireless sensor networks
A new artificial bee colony algorithm employing intelligent forager forwarding strategies
Stock price series forecasting using multi-scale modeling with boruta feature selection and adaptive denoising
Interval quantile regression models based on swarm intelligence
A new hybrid method based on Particle Swarm Optimization, Ant Colony Optimization and 3-Opt algorithms for Traveling Salesman Problem
Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete
Retinal vessel segmentation using multifractal characterization
Feature-guided dictionary learning for patch-and-group sparse representations in single image deraining
An ELECTRE I-based multi-criteria group decision making method with interval type-2 fuzzy numbers and its application to supplier selection
An ensemble of decision trees with random vector functional link networks for multi-class classification
Optimized video content delivery for mobile networks using the transformative computing model
GA-based path planning for mobile robot systems employing an active search algorithm
Decision analytics for Indian culinary tourism: A holistic group approach considering correlation
Dynamic classification of ballistic missiles using neural networks and hidden Markov models
Real-time task scheduling with fuzzy uncertainty in processing times and deadlines
An advanced combination strategy for multi-classifiers employed in large multi-class problem domains
Knowledge-based parameter identification of TSK fuzzy models
Multi-objective optimization ensembled generative design for large-diameter tunnel passing underneath existing tunnels
Benchmarking surrogate-based optimisation algorithms on expensive black-box functions
An approximate/exact objective based search technique for solving general scheduling problems
Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation
Rule extraction based on PROMETHEE-assisted multi-objective genetic algorithm for generating interpretable neural networks
An enhanced vortex search algorithm based on fluid particle density transfer for global and engineering optimization
A survey on expensive optimization problems using differential evolution
Color image segmentation based on multiobjective artificial bee colony optimization
Efficient compression algorithm using learning networks for remote sensing images