yusuke1997/dblp-id-title huggingface dataset:
Federated regressive learning: Adaptive weight updates through statistical information of clients
The extended marine underwater environment database and baseline evaluations
A comparative study of optimistic and pessimistic multicriteria decision analysis based on atanassov fuzzy sets
A decision-making system based on case-based reasoning for predicting stroke rehabilitation demands in heterogeneous information environment
Project scheduling for minimizing temporary availability cost of rental resources and tardiness penalty of activities
IntensityPatches and RegionPatches for image recognition
A knowledge graph-GCN-community detection integrated model for large-scale stock price prediction
A particle swarm optimization method for fault localization and residue removal in digital microfluidic biochips
Robust fusion for RGB-D tracking using CNN features
A novel hybridization of artificial neural networks and ARIMA models for time series forecasting
Multi-resources co-scheduling optimization for home healthcare services under the constraints of service time windows and green transportation
Machine scheduling in custom furniture industry through neuro-evolutionary hybridization
A multi-objective genetic algorithm for assembly planning and supplier selection with capacity constraints
Quantile-guided multi-strategy algorithm for dynamic multiobjective optimization
Parallel evolutionary algorithm for single and multi-objective optimisation: Differential evolution and constraints handling
Benders decomposition-based particle swarm optimization for competitive supply networks with a sustainable multi-agent platform and virtual alliances
Deep multi-scale attentional features for medical image segmentation
Feature selection considering Uncertainty Change Ratio of the class label
An adaptive region based color texture segmentation using fuzzified distance metric
A new robust observer-based adaptive type-2 fuzzy control for a class of nonlinear systems
An influence power-based clustering approach with PageRank-like model
Granular modeling and computing approaches for intelligent analysis of non-geometric data
Robust soft-biometrics prediction from off-line handwriting analysis
Genetic evolving ant direction particle swarm optimization algorithm for optimal power flow with non-smooth cost functions and statistical analysis
Neural network classifier optimization using Differential Evolution with Global Information and Back Propagation algorithm for clinical datasets
A multi-objective evolutionary approach to image quality/compression trade-off in JPEG baseline algorithm
Functional networks models for rapid characterization of thin films: An application to ultrathin polycrystalline silicon germanium films
Feature library-assisted surrogate model for evolutionary wrapper-based feature selection and classification
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans
Flow-based tolerance rough sets for pattern classification
Privacy-preserving dual interactive wasserstein generative adversarial network for cloud-based road condition monitoring in VANETs
Recommendation rules to personalize itineraries for tourists in an unfamiliar city
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
Removal of impulse noise in color images based on convolutional neural network
Multi-modal feature fusion for 3D object detection in the production workshop
A novel method for ranking of vague sets for handling the risk analysis of compressor system
A novel approach to multi-attribute group decision-making: Optimistic and pessimistic three-state three-way decision models
Search-based procedural content generation for GVG-LG
Evolutionary algorithms for solving single- and multiple-objective political redistricting problems: The case study of Poland
An autonomous differential evolution based on reinforcement learning for cooperative countermeasures of unmanned aerial vehicles
Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach
A grid self-adaptive exploration-based algorithm for multimodal multiobjective optimization
Dynamic wagon assignment and reassignment for pick-up and delivery requests: A deep reinforcement learning framework to address uncertainty in locomotive availability
Privacy-preserving facial recognition based on temporal features
Mitigating adversarial threats in deep CT image diagnosis models via a dual-stage inference-time defense
A multi-stage multi-criteria hierarchical decision-making approach for sustainable supplier selection
Multi-type features separating fusion learning for Speech Emotion Recognition
A novel lightweight deep learning framework with knowledge distillation for efficient diabetic foot ulcer detection
Meta-knowledge-assisted sampling with variable sorting for large-scale multi-objective optimization
Structure-specified IIR filter and control design using real structured genetic algorithm
A new approach to online training for the Fuzzy ARTMAP artificial neural network
Dempster-Shafer structure based fuzzy logic system for stochastic modeling
Accurate segmentation of complex document image using digital shearlet transform with neutrosophic set as uncertainty handling tool
Balancing convergence and diversity in resource allocation strategy for decomposition-based multi-objective evolutionary algorithm
A weighted multi-feature transfer learning framework for intelligent medical decision making
Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks
A block chaotic image encryption scheme based on self-adaptive modelling
DualPhysMamba: Efficient end-to-end network based on noise modeling for remote photoplethysmography measurement
Interactive multi-criteria group decision-making with probabilistic linguistic information for emergency assistance of COVID-19
Viable intertwined supply network: Modelling and dynamic analysis using artificial neural networks
Fractional-order mutation based self-adaptive spherical search algorithm for global optimization
Integrated dimensionality reduction technique for mixed-type data involving categorical values
Federated learning enabled hotel customer classification towards imbalanced data
Robot selection by using generalized interval-valued fuzzy numbers with TOPSIS
Fuzzy-based dynamic bandwidth allocation for heterogeneous sources in ATM networks
A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems
FPGA multi-filter system for speech enhancement via multi-criteria optimization
Enhanced Generative Adversarial Network with Leaked Information (E-LeakGAN): A deep learning framework for synthesizing computational creativity in scientific domain
A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments
Intuitionistic fuzzy analytical network process models for maritime supply chain
A framework for radial data comparison and its application to fingerprint analysis
Hierarchical learning multi-objective firefly algorithm for high-dimensional feature selection
Multi-label feature selection via asymmetric redundancy and variable precision dependency
Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models
Dual quaternion hand-eye calibration algorithm for hunter-prey optimization based on twice opposition-learning and random differential variation
Software systems supporting remote education - Fuzzy assessment using a multi-criteria group decision-making method
Optimum aeroelastic control via iterative neural network training for wind-resistant cyber-physical buildings
Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction
Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach
Cooperative coevolution of real predator robots and virtual robots in the pursuit domain
Learning graph representation with Randomized Neural Network for dynamic texture classification
Expert system to predict forging load and axial stress
Spatial area determination problem: Definition and solution method based on Memetic Algorithm
SpamSpotter: An efficient spammer detection framework based on intelligent decision support system on Facebook
An eigenspace divide-and-conquer approach for large-scale optimization
A variable-length encoding genetic algorithm for incremental service composition in uncertain environments for cloud manufacturing
Neuromorphic deep learning frequency regulation in stand-alone microgrids
A new fast associative classification algorithm for detecting phishing websites
Physics-informed deep learning: A promising technique for system reliability assessment
Effect of hybridizing Biogeography-Based Optimization (BBO) technique with Artificial Immune Algorithm (AIA) and Ant Colony Optimization (ACO)
A feature dependent Naive Bayes approach and its application to the software defect prediction problem
Predicting insertion positions in word-level machine translation quality estimation
Classification of cervical cells leveraging simultaneous super-resolution and ordinal regression
Multi-objective optimization using self-organizing decomposition and its application to crashworthiness design
Data aggregation in multi-source assessment model based on evidence theory
New model for occupational health and safety risk assessment based on Fermatean fuzzy linguistic sets and CoCoSo approach
A hybrid multi-objective PSO-EDA algorithm for reservoir flood control operation
Genetic algorithms applied in BOPP film scheduling problems: minimizing total absolute deviation and setup times
A particle swarm approach for tuning washout algorithms in vehicle simulators
Lightweight speaker verification for online identification of new speakers with short segments
Advancing public-private partnerships in waste management facilities: A risk assessment framework based on a trapezoidal cloud model and Bayesian network
An adaptive modeling and asset allocation approach to financial markets based on discrete microstructure model
A novel algorithm for colour image steganography using a new intelligent technique based on three phases
EvoTSC: An evolutionary computation-based traffic signal controller for large-scale urban transportation networks
A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning
Effective segmentation and classification of thyroid histopathology images
Editorial: Special issue on hybrid intelligent methods for health technologies
A hybrid descent method with genetic algorithm for microphone array placement design
An efficient nonlinear interval uncertain optimization method using Legendre polynomial chaos expansion
Evaluation of services using a fuzzy analytic hierarchy process
Mitigating the risk of infection spread in manual order picking operations: A multi-objective approach
Automatically building datasets of labeled IP traffic traces: A self-training approach
On the use of multiobjective optimization for solving the Location Areas strategy with different paging procedures in a realistic mobile network
A LLM-driven and motif-informed linearizing graph transformer for Web API recommendation
Introduction to the Special Section on Applying Machine Learning Systems for IoT Services in Industrial Informatics
A novel ensemble algorithm for biomedical classification based on Ant Colony Optimization
Data-driven distributionally robust support vector machine method for multiple criteria sorting problem with uncertainty
Hybrid NSGA-III and surrogate model framework for sustainable concrete mix design: Balancing strength, energy, and carbon
A novel adaptive cuckoo search algorithm for intrinsic discriminant analysis based face recognition
Evaluation of reservoir sedimentation using data driven techniques
Hyperspectral image analysis using genetic programming
Enhanced leader PSO (ELPSO): A new PSO variant for solving global optimisation problems
Assessing sustainability of supply chains by fuzzy Malmquist network data envelopment analysis: Incorporating double frontier and common set of weights
An improved evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms
Efficient fog prediction with multi-objective evolutionary neural networks
Decomposed Neural Architecture Search for image denoising
An evolutionary fuzzy rule-based system applied to the prediction of soil organic carbon from soil spectral libraries
Immune clonal algorithm based on directed evolution for multi-objective capacitated arc routing problem
An explanation-based tools for debugging constraint satisfaction problems
A fuzzy framework to evaluate service quality in the healthcare industry: An empirical case of public hospital service evaluation in Sicily
Local manipulations of the fitness landscape mitigate stall in particle swarm optimization
Road link traffic speed pattern mining in probe vehicle data via soft computing techniques
Advancing allergy source mapping: A comprehensive multidisciplinary framework integrating machine learning, graph theory and game theory
Evolutionary optimization of policy responses to COVID-19 pandemic via surrogate models
A modeling approach to financial time series based on market microstructure model with jumps
A novel classification method: A hybrid approach based on extension of the UTADIS with polynomial and PSO-GA algorithm
Fuzzy Electromagnetism Optimization (FEMO) and its application in biomedical image segmentation
Fitness-guided particle swarm optimization with adaptive Newton-Raphson for photovoltaic model parameter estimation
Dynamic adaptive spatio-temporal graph neural network for multi-node offshore wind speed forecasting
An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing
Trend following in financial time series with multi-objective optimization
MMUEChange: A generalized LLM agent framework for intelligent multi-modal urban environment change analysis
FDP-Net: Fourier transform guided lightweight depthwise and pointwise dynamic pooling based neural network for medical image classification
Evolutionary multi-feature construction for data reduction: A case study
A neuro-genetic approach for modeling and optimizing a complex cogeneration process
Artificial neural networks in business: Two decades of research
An improved genetic algorithm for structural optimization of Au-Ag bimetallic nanoparticles
IT2CFNN: An interval type-2 correlation-aware fuzzy neural network to construct non-separable fuzzy rules with uncertain and adaptive shapes for nonlinear function approximation
Learning from hybrid labels with partial labels via hybrid-grained contrast regularization
A novel ensemble fuzzy classification model in SARS-CoV-2 B-cell epitope identification for development of protein-based vaccine
Quantile Fuzzy Varying Coefficient Regression based on kernel function
Self-Adapting Particle Swarm Optimization for continuous black box optimization
A neural-network-based nonlinear metamodeling approach to financial time series forecasting
An effective discrete artificial bee colony for the rectangular cutting problem with guillotine in transformer manufacturing
Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms
Water-Energy-Food nexus evaluation using an inverse approach of the graph model for conflict resolution based on incomplete fuzzy preferences
Fault detection based on auto-regressive extreme learning machine for nonlinear dynamic processes
The landscape adaptive particle swarm optimizer
Stream cipher for binary image encryption using Ant Colony Optimization based key generation
A multi-objective evolutionary approach for planning and optimal condition restoration of secondary distribution networks
Two coupled neural-networks-based solution of the Hamilton-Jacobi-Bellman equation
A Multi-Embedding Fusion Network for attributed graph clustering
Bee and Frog Co-Evolution Algorithm and its application
A multi-phase decision-making approach for supplier selection and order allocation with corporate social responsibility
A primary unit commitment approach with a modification process
Multi-objective differential evolution with performance-metric-based self-adaptive mutation operator for chemical and biochemical dynamic optimization problems
A novel incremental conceptual hierarchical text clustering method using CFu-tree
A review of soft computing applications in supply chain management
Secure Quantum-based Adder Design for Protecting Machine Learning Systems Against Side-Channel Attacks
Modelling energy storage systems using Fourier analysis: An application for smart grids optimal management
Multi-criteria group decision-making for optimal management of water supply with fuzzy ELECTRE-based outranking method
A dynamic multi-objective evolutionary algorithm based on two-stage dimensionality reduction and a region Gauss adaptation prediction strategy
Prediction of hydraulics performance in drain envelopes using Kmeans based multivariate adaptive regression spline
An improved particle swarm optimization algorithm for the capacitated location routing problem and for the location routing problem with stochastic demands
Wind speed prediction based on U-shaped 2D multi-scale model
A deep evidence mining approach for trustworthy open-set fault diagnosis of rotating machinery
Optimal reactive power dispatch by improved GSA-based algorithm with the novel strategies to handle constraints
Computational intelligence for preventive maintenance of power transformers
Segmentation of the customers based on customer value: A three-way decision perspective
Berth-quay crane-experiment allocation method based on improved genetic algorithm for cargo and scientific research port
Solving differential equations with Fourier series and Evolution Strategies
A granular sigmoid extreme learning machine and its application in a weather forecast
A sparse probabilistic approach with chaotic artificial bee colony optimization for sea clutter soft computing
Grey wolf optimizer based deep learning mechanism for music composition with data analysis
Transient stability evaluation of electrical power system using generalized regression neural networks
A two phase removing algorithm for minimum independent dominating set problem
MetaQuant: A framework for metaheuristic based quantification
A context sensitive energy thresholding based 3D Otsu function for image segmentation using human learning optimization
A parallel algorithm based on quantum annealing and double-elite spiral search for mixed-integer optimal control problems in engineering
Solving transcendental equation using artificial neural network
Quality of Service constrained routing optimization using Evolutionary Computation
Constructing parsimonious analytic models for dynamic systems via symbolic regression
Risk-based material selection process supported on information theory: A case study on industrial gas turbine
Online clinical decision support system using optimal deep neural networks
Do you know your customer? Bank risk assessment based on machine learning
Solving dynamic double row layout problem via combining simulated annealing and mathematical programming
Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems
Bayesian system reliability assessment under the vague environment
Solving the p-median bilevel problem with order through a hybrid heuristic
Multi-population differential evolution with balanced ensemble of mutation strategies for large-scale global optimization
Chest X-ray analysis empowered with deep learning: A systematic review
Single-stage filter-based local feature selection using an immune algorithm for high-dimensional microarray data
Assessment actions for improving railway sector performance using intuitionistic fuzzy-rough multi-criteria decision-making model
Gene selection using rough set based on neighborhood for the analysis of plant stress response
Free Pattern Search for global optimization
Neuro-genetic approach to optimize parameter design of dynamic multiresponse experiments
3D reconstruction of arbitrary granular media utilizing vision foundation model
Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions
A dual-dynamic population multi-objective evolutionary algorithm for large-scale crude oil scheduling optimization
Formulating and solving a class of optimization problems for high-performance gray world automatic white balance
Approaches to decision making with linguistic preference relations based on additive consistency
Design of a novel adaptive TSK-fuzzy speed controller for use in direct torque control induction motor drives
Implementation of adaptive fuzzy logic and PI controllers to regulate the DC bus voltage of shunt active power filter
A wave forecasting method based on probabilistic diffusion LSTM network for model predictive control of wave energy converters
On the use of local search heuristics to improve GES-based Bayesian network learning
Benchmark problems for nonlinear system identification and control using Soft Computing methods: Need and overview
A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators
Optimising the job-shop scheduling problem using a multi-objective Jaya algorithm
A lévy flight-based shuffled frog-leaping algorithm and its applications for continuous optimization problems
A context-ensembled refinement network for image segmentation of coated fuel particles
Uncertain demand estimation with optimization of time and cost using Facebook disaster map in emergency relief operation
Evolutionary algorithm characterization in real parameter optimization problems
Two-stage consensus model based on opinion dynamics and evolution of social power in large-scale group decision making
Blood sugar regularization based evolutionary algorithm for data classification
Transformer-guided optimization of railway alignments using an adaptive rapidly-exploring random tree algorithm
Evolutionary cepstral coefficients
Instance reduction algorithm based on elitist min-max ant colony optimization technique
Entropy-based weights on decision makers in group decision-making setting with hybrid preference representations
Divergence measure of Pythagorean fuzzy sets and its application in medical diagnosis
Incorporating periodic preventive maintenance into flexible flowshop scheduling problems
Real-world-events data sifting through ultra-small labeled datasets and graph fusion
Incremental-based YoloV3 model with hyper-parameter optimization for product image classification in E-commerce sector
Defect recognition network for optical fiber cables based on feature information compensation
Application of the Sugeno integral in Fuzzy Rule-Based Classification
A robust critical path in an environment with hybrid uncertainty
SentiMI: Introducing point-wise mutual information with SentiWordNet to improve sentiment polarity detection
A multi-agent approach to the integrated production scheduling and distribution problem in multi-factory supply chain
Adaptive fuzzy neuro-observer applied to low cost INS/GPS
A self-adaptive framework of reducing domain bias under distribution shift for semi-supervised domain generalization
Density estimation of SARS-CoV2 spike proteins using super pixels segmentation technique
Liver fibrosis staging using CT image texture analysis and soft computing
Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections
A multi-objective Covering Salesman Problem with 2-coverage
A MIL-based framework via contrastive instance learning and multimodal learning for long-term ECG classification
An enhanced secondary decomposition model considering energy price for carbon price prediction
Multi-objective optimal power flow using quasi-oppositional teaching learning based optimization