yusuke1997/dblp-id-title huggingface dataset:
Dynamic multi-swarm whale optimization algorithm based on elite tuning for high-dimensional feature selection classification problems
A probabilistic neural network for uncertainty prediction with applications to manufacturing process monitoring
A two-stage feature selection approach using hybrid quasi-opposition self-adaptive coati optimization algorithm for breast cancer classification
Requirements engineering framework for human-centered artificial intelligence software systems
Congestion management by determining optimal location of series FACTS devices using hybrid bacterial foraging and Nelder-Mead algorithm
A novel system for multi-step electricity price forecasting for electricity market management
Dynamic dispatching system using a deep denoising autoencoder for semiconductor manufacturing
Tree trunk texture classification using multi-scale statistical macro binary patterns and CNN
Feature fusion technology based on serum FTIR spectra combined with chaos theory in the disease auxiliary diagnosis
Distributed and real-time IoT task scheduling approach through a decision tree reinforcement learning
Multi-subpopulation parallel computing genetic algorithm for the semiconductor packaging scheduling problem with auxiliary resource constraints
Randomized neural networks for multilabel classification
Lateral load bearing capacity modelling of piles in cohesive soils in undrained conditions: An intelligent evolutionary approach
Type II fuzzy set-based data analytics to explore amino acid associations in protein sequences of Swine Influenza Virus
Optimization design of electric vehicle charging stations based on the forecasting data with service balance consideration
A parallel particle swarm optimization framework based on a fork-join thread pool using a work-stealing mechanism
Early-stage atherosclerosis detection using deep learning over carotid ultrasound images
An explicit exploration strategy for evolutionary algorithms
Unsupervised domain adaptation methods for photovoltaic power forecasting
Design and optimization of a modified Sierpinski fractal antenna for broadband applications
A telemedicine-oriented framework for scenario-based disaster management: Integrating machine learning and multi-criteria decision making
Time series classification based on temporal features
Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm
Interactive object retrieval via cost-minimizing queries
Optimizing learning paths: Course recommendations based on graph convolutional networks and learning styles
Particle Swarm Optimization based support vector machine for damage level prediction of non-reshaped berm breakwater
Environmental economic dispatch in multi-area power system employing improved differential evolution with fuzzy selection
Multi-agent deep reinforcement learning algorithm with self-adaption division strategy for VNF-SC deployment in SDN/NFV-Enabled Networks
An IT2FS-PT3 based emergency response plan evaluation with MULTIMOORA method in group decision making
Development of associative memories with transformed data
A focal quotient gradient system method for deep neural network training
Fuzzy c-means clustering with weighted image patch for image segmentation
Neutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systems
The OWA operator in multiple linear regression
An improved closed form design method for the cosine modulated filter banks using windowing technique
Towards agentic smart design: An industrial large model-driven human-in-the-loop agentic workflow for geometric modelling
Multi-objective optimization of shared nearest neighbor similarity for feature selection
Maximum number of generations as a stopping criterion considered harmful
FPGA implementation of fuzzy sparse adaptive equalizer for indoor wireless communication systems
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM
Finding all solutions of nonlinear systems using a hybrid metaheuristic with Fuzzy Clustering Means
NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm
Leveraging LSTM-SMI and ARIMA architecture for robust wind power plant forecasting
Using Hill Climb Assembler Encoding neural networks to control follower vehicles in an underwater swarm
A Fuzzy-Neural approach for estimation of depth map using focus
Quantum-classical hybrid approach for codon optimization and its practical applications
Pattern similarity-based methods for short-term load forecasting - Part 1: Principles
A first-order meta learning method for remaining useful life prediction of rotating machinery under limited samples
Multiobjective evolutionary algorithm based on multimethod with dynamic resources allocation
Design of interval networks based on neural network and Choquet integral
A survey on Particle Swarm Optimization: Evolution, adaptations and practical implementations
Task scheduling using Bayesian optimization algorithm for heterogeneous computing environments
Web document clustering using a hybrid neural network
RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway
A team-oriented approach to particle swarms
A nearest-best neighbors optimization algorithm for constrained multimodal multiobjective problems
Design of electronically steerable linear arrays with evolutionary algorithms
Self-supervised hypergraph neural network for session-based recommendation supported by user continuous topic intent
A random searching algorithm for efficiently solving the connectivity-oriented robust optimization problem on large-scale networked systems
An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation
Fuzzy PWM based on Genetic Algorithm for battery charging
Reducing energy usage in drive storage clusters through intelligent allocation of incoming commands
Fuzzy based sliding surface for shape memory alloy wire actuated classical super-articulated control system
Constrained binary artificial bee colony to minimize the makespan for single machine batch processing with non-identical job sizes
Hierarchical multi-criteria risk-benefit analysis in fuzzy environment
Corrigendum to "Development and investigation of efficient artificial bee colony algorithm for numerical function optimization" [Appl. Soft Comput. 12(2012) 320-332]
An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis
A clustering-based differential evolution with different crowding factors for nonlinear equations system
Feature selection using Information Gain and decision information in neighborhood decision system
New heuristic approaches for the dominating tree problem
A morphological difference and statistically sparse transformer-based deep neural network for medical image segmentation
Assessment of traffic congestion with ORESTE method under double hierarchy hesitant fuzzy linguistic environment
A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting
Beer froth artificial bee colony algorithm for job-shop scheduling problem
Multi-stream Global-Local Motion Fusion Network for skeleton-based action recognition
A third-generation prospect theory-based three-way decision method for coalbed methane development favorable area selection
A multi-objective genetic algorithm for compression of weighted graphs to simplify epidemic analysis
Evolutionary Learning Based Simulation Optimization for Stochastic Job Shop Scheduling Problems
A behavior prediction method for complex system based on belief rule base with structural adaptive
Developing a computer vision method based on AHP and feature ranking for ores type detection
Soft-computing based heuristics for location on networks: The p-median problem
Pinhole-imaging-based learning butterfly optimization algorithm for global optimization and feature selection
Hybrid meta-heuristic algorithms for independent job scheduling in grid computing
Explainable ResNet50 learning model based on copula entropy for cotton plant disease prediction
A population-based approach for multi-agent interpretable reinforcement learning
Punishment-driven consensus reaching model in social network large-scale decision-making with application to social capital selection
A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms
Modified particle swarm optimization structure approach to direction of arrival estimation
Granular neural networks: A study of optimizing allocation of information granularity in input space
Source and transmission line maintenance outage scheduling in a power system using teaching learning based optimization algorithm
Differential evolution with guiding archive for global numerical optimization
Weighted elitism based Ant Lion Optimizer to solve optimum VAr planning problem
Ovarian cancer diagnosis using a hybrid intelligent system with simple yet convincing rules
Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression
The scope of human values and human activities in decision making
Adoption of an improved PSO to explore a compound multi-objective energy function in protein structure prediction
Density-based approach for fuzzy rule interpolation
Relations between complex vague soft sets
Hierarchical multi-UAVs task assignment based on dominance rough sets
A data mining application to deposit pricing: Main determinants and prediction models
Feature-filter: Detecting adversarial examples by filtering out recessive features
Clustering-based method for large group decision making with hesitant fuzzy linguistic information: Integrating correlation and consensus
An artificial bee colony algorithm with variable degree of perturbation for the generalized covering traveling salesman problem
Human action prediction in collaborative environments based on shared-weight LSTMs with feature dimensionality reduction
Extension of safety and critical effect analysis to neutrosophic sets for the evaluation of occupational risks
Learning Vector Quantization based predictor model selection for hourly load demand forecasting
Using differential evolution for improving distance measures of nominal values
A novel approach to signal classification with an application to identifying the alcoholic brain
Attention-aware graph contrastive learning with topological relationship for recommendation
Adaptive verifiability-driven strategy for evolutionary approximation of arithmetic circuits
Fuzzy logic in the gravitational search algorithm enhanced using fuzzy logic with dynamic alpha parameter value adaptation for the optimization of modular neural networks in echocardiogram recognition
Improving data exploration in graphs with fuzzy logic and large-scale visualisation
A completed local shrinkage pattern for texture classification
Evaluation of different initial solution algorithms to be used in the heuristics optimization to solve the energy resource scheduling in smart grids
Hybrid metaheuristics and multi-agent systems for solving optimization problems: A review of frameworks and a comparative analysis
Palmprint authentication based on discrete orthonormal S-Transform
An adaptive large neighborhood search for the multi-vehicle profitable tour problem with flexible compartments and mandatory customers
A bi-level school bus routing problem with bus stops selection and possibility of demand outsourcing
A multi-objective two-echelon location-routing problem for cash logistics: A metaheuristic approach
Maintaining filter structure: A Gabor-based convolutional neural network for image analysis
A green scheduling algorithm for the distributed flowshop problem
Optimal control of Takagi-Sugeno fuzzy-model-based systems representing dynamic ship positioning systems
Modified Recursive Least Squares algorithm to train the Hybrid Multilayered Perceptron (HMLP) network
Developing model-based software to optimise wheat storage and transportation: A real-world application
The application of stochastic machine learning methods in the prediction of skin penetration
Evolving convolutional neural networks by symbiotic organisms search algorithm for image classification
Quantum alternating operator ansatz with PSO optimizer for portfolio optimization problem
Analytical structure and stability analysis of a fuzzy PID controller
Modeling and simulation of chaotic phenomena in electrical power systems
Prognosis prediction based on liver histopathological image via graph deep learning and transformer
Memory-saving memetic computing for path-following mobile robots
A modified neuro-fuzzy classifier and its parallel implementation on modern GPUs for real time intrusion detection
A novel consensus model integrating asynchronous opinion evolution and dynamic trust-driven three-way decision for incomplete multi-scale information systems
Evolving spiking wavelet-neuro-fuzzy self-learning system
Automated extraction of fragments of Bayesian networks from textual sources
A generalized linguistic gained and lost dominance score method for landslide hazard treatment
Divergence-based cross entropy and uncertainty measures of Atanassov's intuitionistic fuzzy sets with their application in decision making
The fusion of fuzzy theories and natural language processing: A state-of-the-art survey
A suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets
A feature engineering based model architecture for modeling initial public offerings
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
Short-term multistep wind direction prediction of unmanned sailboats based on OVMD and optimized deep learning model
Support Vector Regression Model for the prediction of Loadability Margin of a Power System
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images
F2CAU-Net: A dual fuzzy medical image segmentation cascade method based on fuzzy feature learning
Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction
Vector quantization of images with variable block size
Multi-task twin bounded support vector machine and its safe screening rule
Improved estimation of software development effort using Classical and Fuzzy Analogy ensembles
Feature selection and its combination with data over-sampling for multi-class imbalanced datasets
Efficiency classification by hybrid Bayesian networks - The dynamic multidimensional models
Two effective simulated annealing algorithms for the Location-Routing Problem
Network traffic analysis based on cybersecurity intrusion detection through an effective Automated Separate Guided Attention Federated Graph Neural Network
Two-stage deep image restoration network with application to single image shadow removal
MSFLA/GHS/SFLA-GHS/SDE algorithms for economic dispatch problem considering multiple fuels and valve point loadings
Ensemble clustering with low-rank optimal Laplacian matrix learning
Greedy mechanism-based bi-objective optimization for green scheduling in manufacturing systems considering transportation
A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO
Efficient reordering algorithm for color palette image using adaptive particle swarm technique
Extended dynamic fuzzy logic system (DFLS) based indirect stable adaptive control of non-linear systems
Multi-criteria food waste treatment method selection using single-valued neutrosophic-CRITIC-MULTIMOORA framework
Multi-objective metaheuristics for discrete optimization problems: A review of the state-of-the-art
Utilizing a feature-aware external memory network for helpfulness prediction in e-commerce reviews
Evaluating the performance of countries in COVID-19 management: A data-driven decision-making and clustering
An improved similarity measure for generalized fuzzy numbers and its application to fuzzy risk analysis
A probabilistic reliable linguistic model for blockchain-based student information management system assessment
Bi-directional Long Short-Term Memory model to analyze psychological effects on gamers
Fuzzy GRASP with path relinking for the Risk-constrained Cash-in-Transit Vehicle Routing Problem
Fuzzy logic control for flexible link robot arm by singular perturbation approach
Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques
Advancing image inpainting efficiency: An exploration of pixel and channel split operations
An effective handling of secure data stream in IoT
A control-oriented operation mode recognizing method using fuzzy evaluation and attention LSTM networks
A hybrid wavelet decomposer and GMDH-ELM ensemble model for Network function virtualization workload forecasting in cloud computing
Surrogate modeling based on granular models and fuzzy aptitude functions
Hierarchical aggregation of multiple fuzzy controllers for global complex control problems
Fast simulated annealing hybridized with quenching for solving job shop scheduling problem
Quality-aware fuzzy min-max neural networks for dynamic brain network analysis and its application to schizophrenia identification
A hybrid Differential Evolution - Tabu Search algorithm for the solution of Job-Shop Scheduling Problems
Optimizing multi-drone patrol path planning under uncertain flight duration: A robust model and adaptive large neighborhood search with simulated annealing
Balanced scorecard performance evaluation in a closed-loop hierarchical model under uncertainty
Identifying optimal architectures of physics-informed neural networks by evolutionary strategy
Image inpainting based on GAN-driven structure- and texture-aware learning with application to object removal
Analysis and evaluation of autoencoder-driven dimensionality reduction for face recognition pipelines
A local correlation estimation surrogate-assisted bi-objective evolutionary algorithm for heterogeneous objectives
Surrogate-assisted operator-repeated evolutionary algorithm for computationally expensive multi-objective problems
Evolutionary computing in manufacturing industry: an overview of recent applications
Characterization of graph properties for improved Pareto fronts using heuristics and EA for bi-objective graph coloring problem
A hybrid ANN-based imperial competitive algorithm methodology for structural damage identification of slab-on-girder bridge using data mining
Performance enhancement and multi-objective optimization of a novel solar-driven system using soft computing for sustainable energy applications
Mining search engine query logs for social filtering-based query recommendation
A dual branch SPD-Conv infrared distant multi-target tracking method with high target association accuracy
An injected multi-objective metaheuristic approach for optimizing aerial-robot swarm guidance in cluttered environments
A local opposition-learning golden-sine grey wolf optimization algorithm for feature selection in data classification
Structural health performance assessment using hysteretic-driven neural network with physical self-correction mechanism and its experimental study
Contourlet hidden Markov Tree and clarity-saliency driven PCNN based remote sensing images fusion
Noise-robust graph-based semi-supervised learning with dynamic shaving label propagation
Application of a fuzzy TOPSIS method base on modified preference ratio and fuzzy distance measurement in assessment of traffic police centers performance
A bearing prognosis framework based on deep wavelet extreme learning machine and particle filtering
Hyperscale data analysis oriented optimization mechanisms for higher education management systems platforms with evolutionary intelligence
Long-term water quality model in aquaculture based on dilated convolution feature fusion and interactive learning
Self-evolving type-2 fuzzy brain emotional learning control design for chaotic systems using PSO
A novel neural network method for shortest path tree computation
Robust and fuzzy goal programming optimization approaches for a novel multi-objective hub location-allocation problem: A supply chain overview
A hybrid decision support system based on rough set and extreme learning machine for diagnosis of hepatitis disease
Semi-supervised learning quantization algorithm with deep features for motor imagery EEG Recognition in smart healthcare application
Utilizing cumulative population distribution information in differential evolution
A power-efficient routing protocol for underwater wireless sensor networks
A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method
Automated framework for classification and selection of software design patterns
A new logarithmic fuzzy full consistency method for prioritizing critical success factors of technology start-ups in Thailand
Improving online education through automatic learning style identification using a multi-step architecture with ant colony system and artificial neural networks
Parameter tuning, feature selection and weight assignment of features for case-based reasoning by artificial immune system
Enhanced predictive modeling of rotating machinery remaining useful life by using separable convolution backbone networks
A linear programming aggregation method based on generalized Zhenyuan integral in q-ROFN environment and the application of talent recruitment in universities
Advanced monitoring of rail breakage in double-track railway lines by means of PCA techniques
Deep anomaly detection: A linear one-class SVM approach for high-dimensional and large-scale data
Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan
Two-stream neural network for the prediction of multiple defects in continuous casting
A novel firefly algorithm based on gender difference and its convergence
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner
Evaluating the strength of intact rocks through genetic programming
A modified particle swarm optimization for correlated phenomena
Emphasizing typing signature in keystroke dynamics using immune algorithms
Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks
A knowledge-based intelligent framework for anterior cruciate ligament rehabilitation monitoring
Perceptual maps to aggregate assessments from different rating profiles: A hesitant fuzzy linguistic approach
Simultaneous stochastic optimization of an open-pit mining complex with preconcentration using reinforcement learning
Artificial bee colony algorithm based on adaptive neighborhood search and Gaussian perturbation
An efficient Differential Evolution algorithm for stochastic OPF based active-reactive power dispatch problem considering renewable generators
Machine learning techniques via ensemble approaches in stock exchange index prediction: Systematic review and bibliometric analysis
ModInterv COVID-19: An online platform to monitor the evolution of epidemic curves
Autonomous Learning Multiple-Model zero-order classifier for heart sound classification
Cooperation search algorithm: A novel metaheuristic evolutionary intelligence algorithm for numerical optimization and engineering optimization problems
Using a hybrid MCDM model to evaluate firm environmental knowledge management in uncertainty
A two-step method for damage identification in moment frame connections using support vector machine and differential evolution algorithm
A differential evolution optimization-based black widow spider method in PV systems under shading conditions
Multitask differential evolution with adaptive dual knowledge transfer
Physics-aware Gaussian processes in remote sensing
Systemic risk measurement: A Quantile Long Short-Term Memory network approach