yusuke1997/dblp-id-title huggingface dataset:
Type-2 intuitionistic fuzzy matrix games based on a new distance measure: Application to biogas-plant implementation problem
Effluent ammonia nitrogen prediction using a phase space reconstruction method combining pipelined recurrent wavelet neural network
Neuro-genetic programming for multigenre classification of music content
EEG emotion recognition based on the TimesNet fusion model
Enhancing detectability of process variability in statistical process control under three-dimensional uncertainty: Evidence from textile industry
A new controller for DC-DC converters based on particle swarm optimization
NARX model based nonlinear dynamic system identification using low complexity neural networks and robust H ∞ filter
Incorporating Markov decision process on genetic algorithms to formulate trading strategies for stock markets
Optimal inspection and advance payment policy for deteriorating items using differential evolution metaheuristic
Picture fuzzy normalized projection-based VIKOR method for the risk evaluation of construction project
A cascade perceptron and Kohonen network approach to fault location in rural distribution feeders
A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines
Convolution-based Visual Transformer with Dual Space Shifting Attention hashing for image retrieval
The new extension of TOPSIS method for multiple criteria decision making with hesitant Pythagorean fuzzy sets
Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer
Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models
Hybrid BFOA-PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems
AI-fused construction portfolio investment system with risk hedging using machine learning and long-short strategies
Compromise point incorporating trade-off ratio in multi-objective optimization
Enhancing the privacy of negative surveys using negative combined categories
Predicting load capacity of shear walls using SVR-RSM model
Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm
A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations
Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation
Identification of DNA N4-methylcytosine sites via fuzzy model on self representation
A large language model-based method using weighted double-well potential support vector regression for foreign exchange rate robust forecasting
A novel enhanced cuckoo search algorithm for contrast enhancement of gray scale images
A novel ensemble of classifiers for microarray data classification
Sensorless wind energy conversion system maximum power point tracking using Takagi-Sugeno fuzzy cerebellar model articulation control
Semantic segmentation of tea geometrid in natural scene images using discriminative pyramid network
Green maritime transport performance analysis of G-7 countries using an interval-valued Fermatean fuzzy ARLON-based decision model
Disentangling copy-moved source and target areas
Granular data representation under privacy protection: Tradeoff between data utility and privacy via information granularity
A2AE: Towards adaptive multi-view graph representation learning via all-to-all graph autoencoder architecture
An improvement of quantitative strategic planning matrix using multiple criteria decision making and fuzzy numbers
Comparative performance analysis of various artificial immune networks applied to RFID reader-to-reader collision avoidance
GH2_MobileNet: Deep learning approach for predicting green hydrogen production from organic waste mixtures
On the difference in control performance of interval type-2 fuzzy PI control system with different FOU shapes
Online ensemble learning-based anomaly detection for IoT systems
A SomAgent statistical machine translation
FastTWE: Making TWE-based time-series similarity search faster via random convolutional kernels
Distributed clustering in peer to peer networks using multi-objective whale optimization
A new Kernelized hybrid c-mean clustering model with optimized parameters
TB-CoAuth: Text based continuous authentication for detecting compromised accounts in social networks
A new glass segmentation network with indoor and outdoor panoramic images
A MFO-based conformable fractional nonhomogeneous grey Bernoulli model for natural gas production and consumption forecasting
Mobile robot path planning with surrounding point set and path improvement
Weighted Centroids in Adaptive Nelder-Mead Simplex: With heat source locator and multiple myeloma predictor applications
A hybrid ensemble approach for the Steiner tree problem in large graphs: A geographical application
Laplacian least learning machine with dynamic updating for imbalanced classification
Thresholds learning of three-way decisions in pairwise crime linkage
Search and tracking strategy of autonomous surface underwater vehicle in oceanic eddies based on deep reinforcement learning
Genetic algorithm for path-based testing of component outage situations in IoT system processes
A predictive GA-based model for closed high-utility itemset mining
HFL-YOLOv8: a hyperbolic feature-enhanced lightweight network for object detection in ground penetrating radar images
Metaheuristics for maximization of obstacles constrained area coverage in heterogeneous wireless sensor networks
A hybrid model of stacked autoencoder and modified particle swarm optimization for multivariate chaotic time series forecasting
Signal processing and time series description: A Perspective of Computational Intelligence and Granular Computing
A manifold-based adversarial autoencoder with Fourier convolution for hyperspectral unmixing
Embedding a high speed interval type-2 fuzzy controller for a real plant into an FPGA
A bi-level nested heuristic algorithm for divisional seru order acceptance and scheduling problems
A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability
A heterogeneous fuzzy collaborative intelligence approach: Air quality monitor selection study
A feature interaction learning approach for crowdfunding project recommendation
Jointly optimization for activity recognition in secure IoT-enabled elderly care applications
Market segmentation and ideal point identification for new product design using fuzzy data compression and fuzzy clustering methods
Edge-preserving image deraining network using cumulative feature aggregation
Multi-objective evolution strategy for multimodal multi-objective optimization
AdaSwitch: Adapting switch from Adam to SGDM by exponential function
Enhancing robustness of the inverted PBI scalarizing method in MOEA/D
Elevator group control as a constrained multiobjective optimization problem
On scheduling transactions in a grid processing system considering load through Ant Colony Optimization
SLOVA: Uncertainty estimation using single label one-vs-all classifier
Intra-group collaborative updating and inter-group mutual learning for federated model fusion across heterogeneous clients
A novel adaptive control for reaching movements of an anthropomorphic arm driven by pneumatic artificial muscles
Stability analysis and robustness design of nonlinear systems: An NN-based approach
Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares
Probabilistic neural networks for incremental learning over time-varying streaming data with application to air pollution monitoring
N-BEATS-GAN: A risk-aware financial time series forecasting with generative adversarial networks
Towards the sustainable economy through digital technology: A drone-aided after-sales service scheduling model
An ameliorated particle swarm optimizer for solving numerical optimization problems
Distributed multi-objective grey wolf optimizer for distributed multi-objective economic dispatch of multi-area interconnected power systems
Mining temporal association rules with frequent itemsets tree
FAMACROW: Fuzzy and ant colony optimization based combined mac, routing, and unequal clustering cross-layer protocol for wireless sensor networks
A state alignment-centric approach to federated system identification: The FedAlign framework
A multistage risk decision making method for normal cloud model considering behavior characteristics
A grid-level segmentation model based on encoder-decoder structure with multi-source features for crop lodging detection
A meta-learning based neural network and LSTM for univariate time series missing data imputation
Efficiency evaluation in two-stage data envelopment analysis under a fuzzy environment: A common-weights approach
A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets
Improved global-best-guided particle swarm optimization with learning operation for global optimization problems
Pressure-sensitive paint images inpainting network via region convolution and pyramid attention
Multi-level image thresholding by synergetic differential evolution
A neuro-genetic approach for selection of process parameters in abrasive waterjet cutting considering variation in diameter of focusing nozzle
An ordered search with a large margin classifier for feature selection
Consensus in innovation contest categorisation by means of fuzzy partitions
A genetic programming based cooperative evolutionary algorithm for flexible job shop with crane transportation and setup times
A linguistic consensus model for Web 2.0 communities
Multiple criteria group decision making method based on extended hesitant fuzzy sets with unknown weight information
Adaptive intelligent control of aircraft systems with a hybrid approach combining neural networks, fuzzy logic and fractal theory
Fuzzy control of a swells canal system
Layout optimization of satellite module using soft computing techniques
Applying weakest t-norm based approximate intuitionistic fuzzy arithmetic operations on different types of intuitionistic fuzzy numbers to evaluate reliability of PCBA fault
Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method
Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification
A state of the art literature review of VIKOR and its fuzzy extensions on applications
Computing with words for hierarchical competency based selection of personnel in construction companies
Failure mode and effects analysis method based on Fermatean fuzzy weighted Muirhead mean operator
Feature selection for label distribution learning based on neighborhood fuzzy rough sets
A heuristic method to rank the alternatives in the AHP synthesis
GMM based SPECT image classification for the diagnosis of Alzheimer's disease
Feature fusion for a robust traffic accident assistance forecasting model with deep learning
Edge computing-based person detection system for top view surveillance: Using CenterNet with transfer learning
Canonical triangular interval type-2 fuzzy linguistic distribution assessment EDAS approach with its application to production supplier evaluation and ranking
Comparative analysis of fuzzy classifier and ANN with histogram features for defect detection and classification in planetary gearbox
Hybrid wavelet-neural network models for time series
Solving fuzzy capacitated location routing problem using hybrid variable neighborhood search and evolutionary local search
Cryptographic Boolean functions: One output, many design criteria
The periodic Sinc kernel: Theoretical design and applications in machine learning and scientific computing
Unsupervised image stitching based on Generative Adversarial Networks and feature frequency awareness algorithm
Chaotic populations in genetic algorithms
Adolescent mental health state assessment framework by combining YOLO with random forest
Set algebra - based algebraic evolutionary algorithm for binary optimization problems
Multi-objective cellular particle swarm optimization for wellbore trajectory design
An adaptive shuffled frog-leaping algorithm for flexible flow shop scheduling problem with batch processing machines
Multi-mode resource constrained project scheduling and contractor selection: Mathematical formulation and metaheuristic algorithms
A two-stage ranking method to minimize ordinal violation for pairwise comparisons
A splicing-driven memetic algorithm for reconstructing cross-cut shredded text documents
OccupancySense: Context-based indoor occupancy detection & prediction using CatBoost model
Rapid detection and identification of road manhole cover safety hazards in complex scenarios
A hybrid EDA for load balancing in multicast with network coding
Preference-driven Pareto front exploitation for bloat control in genetic programming
A Symbiotic Organisms Search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems
Mining fuzzy rules using an Artificial Immune System with fuzzy partition learning
Unsupervised adaptive neural-fuzzy inference system for solving differential equations
Large language model driven multiple operating conditions identification and predictive control
Gas-expensive patterns detection to optimize smart contracts
Value aided optimal load shedding accounting voltage stability consideration employing Crow Search Algorithm with modification based on Lampinen's criterion
Contrast enhancement for cephalometric images using wavelet-based modified adaptive histogram equalization
Tensor-based multigraph fusion for Alzheimer's disease diagnosis
Piranha predation optimization algorithm (PPOA) for global optimization and engineering design problems
Fuzzy formal concept analysis based opinion mining for CRM in financial services
A bi-objective continuous review inventory control model: Pareto-based meta-heuristic algorithms
Attention-based multimodal sentiment analysis and emotion recognition using deep neural networks
Manta ray foraging optimization based on mechanics game and progressive learning for multiple optimization problems
Convex-hull based robust evolutionary optimization approach for ROC maximization under label noise
A survey on applications and variants of the cuckoo search algorithm
A realistic variant of bi-objective unrelated parallel machine scheduling problem: NSGA-II and MOACO approaches
Bio-inspired UAV swarm operation approach towards decentralized aerial electronic defense
A customer-driven quality function deployment approach for intelligent product design: A case of automatic-dishwasher
A multi-level classification and modified PSO clustering based ensemble approach for credit scoring
Unsupervised feature selection using swarm intelligence and consensus clustering for automatic fault detection and diagnosis in Heating Ventilation and Air Conditioning systems
An application of phonocardiography signals for psychological stress detection using non-linear entropy based features in empirical mode decomposition domain
Solving bi-objective flow shop problem with hybrid path relinking algorithm
A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images
A multi-demand negotiation model based on fuzzy rules elicited via psychological experiments
Design of fractional comprehensive learning PSO strategy for optimal power flow problems
Artificial Bee Colony algorithm for optimization of truss structures
A hybrid differential evolution algorithm for job shop scheduling problems with expected total tardiness criterion
DPDGS: Dynamic scene rendering via spatio-temporal physical constraints with decomposition and camera motion deblurring
A hybrid model based on differential fuzzy logic relationships and imperialist competitive algorithm for stock market forecasting
FPGA-based implementation of deep neural network using stochastic computing
An improved focused crawler based on Semantic Similarity Vector Space Model
A stochastic approximation method for probability prediction of docking success for aerial refueling
Multi-objective constrained black-box optimization algorithm based on feasible region localization and performance-improvement exploration
An improved multiobjective estimation of distribution algorithm for environmental economic dispatch of hydrothermal power systems
Hybrid PSO-SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank
Multi-atlas classification of autism spectrum disorder with hinge loss trained deep architectures: ABIDE I results
A local search enhanced differential evolutionary algorithm for sparse recovery
MCLP-based methods for improving "Bad" catching rate in credit cardholder behavior analysis
Universal Functions Originator
An electromagnetism metaheuristic for solving the Maximum Betweenness Problem
The exact solutions of fuzzy wave-like equations with variable coefficients by a variational iteration method
End-to-end learning of adaptive coded modulation schemes for resilient wireless communications
Bibliometric analysis of rough sets research
Multi-time Scale Augmented Neural ODEs graph neural for traffic flow prediction with elastic channel variation
A multi-objective cuckoo search algorithm using generalized Lèvy flight and dissimilar egg identification for multispectral image thresholding
Application of long short-term memory neural networks for electric arc furnace modeling
Optimizing sequential diagnostic strategy for large-scale engineering systems using a quantum-inspired genetic algorithm: A comparative study
A robust singular point detection algorithm
On the robust PID adaptive controller for exoskeletons: A particle swarm optimization based approach
Extended rule-based opinion target extraction with a novel text pre-processing method and ensemble learning
Automated diatom detection in forensic drowning diagnosis using a single shot multibox detector with plump receptive field
Creating and measuring diversity in multiple classifier systems using support vector data description
A data-driven approach towards the full anthropometric measurements prediction via Generalized Regression Neural Networks
Recognizing learning emotion based on convolutional neural networks and transfer learning
An approximate stability analysis of nonlinear systems described by Universal Learning Networks
Regularizing Model Predictive Control for pixel-based long-horizon tasks
Combined HCS-RBFNN for energy management of multiple interconnected microgrids via bidirectional DC-DC converters
An evolvable adversarial network with gradient penalty for COVID-19 infection segmentation
Design teacher and supervised dual stacked auto-encoders for quality-relevant fault detection in industrial process
A new hybrid SSA-TA: Salp Swarm Algorithm with threshold accepting for band selection in hyperspectral images
Neural networks modeling of shear strength of SFRC corbels without stirrups
Logistic hub location problem under fuzzy Extended Z-numbers to consider the uncertainty and reliable group decision-making
Parameter tuning of PBIL and CHC evolutionary algorithms applied to solve the Root Identification Problem
Cycle-consistent GAN-based stain translation of renal pathology images with glomerulus detection application
Soft computing for smart production to empower industry 4.0
Multi-branch and multi-loss learning for fine-grained image retrieval
An adaptive strategy quantum particle swarm optimization method based on intuitionistic fuzzy entropy and evolutionary game theory
Density peak clustering algorithm based on boundary elimination and backbone construction
A hybrid network intrusion detection system using simplified swarm optimization (SSO)
UDA-SD: Unsupervised domain adaptation based on self-distillation for cross-domain audio anti-spoofing
Finding and exploring promising search space for The 0-1 Multidimensional Knapsack Problem
Texture selection for automatic music genre classification
Hyper-Heuristics based on Reinforcement Learning, Balanced Heuristic Selection and Group Decision Acceptance
A shareholder voting method for proxy advisory firm selection based on 2-tuple linguistic picture preference relation
The L 1/2 regularization method for variable selection in the Cox model
Memetic binary differential evolution to solve wind-thermal profit based unit commitment problem
A soft intelligent allocation-based hybrid model for uncertain complex time series forecasting
An improved network structural balance approach based on weighted node-to-node influence with evolutionary algorithm
SMOTE-ENN resampling technique with Bayesian optimization for multi-class classification of dry bean varieties
Emotion classification on eye-tracking and electroencephalograph fused signals employing deep gradient neural networks
Error-feedback three-phase optimization to configurable convolutional echo state network for time series forecasting
Twin-layer attention graph convolutional network (TLA-GCN): Enhancing abnormality detection in chest x-rays
Fuzzy entropy based optimal thresholding using bat algorithm
Medical image classification with KAN-integrated transformers and dilated neighborhood attention
HiRN: Hierarchical recurrent neural network for video super-resolution (VSR) using two-stage feature evolution
On the detection of card-sharing traffic through wavelet analysis and Support Vector Machines
Dynamic classification for video stream using support vector machine
Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns
Dynamic context learning using multiple visual scanpaths for action classification in still images
Adaptive neuro-fuzzy inference system for deburring stage classification and prediction for indirect quality monitoring
A simplified swarm optimization-based restricted Boltzmann machine algorithm for a time series clustering
Building real estate valuation models with comparative approach through case-based reasoning
Hybrid FORM-Sampling simulation method for finding design point and importance vector in structural reliability
Structural rule-based modeling with granular computing
Negative selection algorithm with constant detectors for anomaly detection
Differential evolutionary particle swarm optimization with orthogonal learning for wind integrated optimal power flow
Enhancing evolutionary algorithms with solution prediction for influence maximization in social networks
Constrained multi-objective optimization via neural network and cooperative populations
An Adaptive Large Neighborhood Search for the green mixed fleet vehicle routing problem with realistic energy consumption and partial recharges
Multi-level thresholding with a decomposition-based multi-objective evolutionary algorithm for segmenting natural and medical images
The Categorized Orienteering Problem with Count-Dependent Profits
A dual-branch self-supervised contrastive learning framework for emotion recognition based on time-frequency fusion
A novel multi-objective bacteria foraging optimization algorithm (MOBFOA) for multi-objective scheduling
An integrated three-way decision methodology for sustainability of wastewater circularity in thermal power plants
Stochastic approximation driven particle swarm optimization with simultaneous perturbation - Who will guide the guide?
Cancer classification using a novel gene selection approach by means of shuffling based on data clustering with optimization
Climbing combinatorial fitness landscapes
A generalized fuzzy Multiple-Layer NDEA: An application to performance-based budgeting
Minimizing sum of the due date assignment costs, maximum tardiness and distribution costs in a supply chain scheduling problem
An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images
Real coded chemical reaction based optimization for short-term hydrothermal scheduling
Model reference adaptive robust fuzzy control for ship steering autopilot with uncertain nonlinear systems
Soft computing-based gait planners for a dynamically balanced biped robot negotiating sloping surfaces