yusuke1997/dblp-id-title huggingface dataset:
Hierarchical hashing-based multi-source image retrieval method for image denoising
Galactic Swarm Optimization: A new global optimization metaheuristic inspired by galactic motion
Fuzzy c-means based support vector machines classifier for perfume recognition
A hybrid Improved Quantum-behaved Particle Swarm Optimization-Simplex method (IQPSOS) to solve power system load flow problems
A Gaussian process mixture model-based hard-cut iterative learning algorithm for air quality prediction
Supplier selection in nuclear power industry with extended VIKOR method under linguistic information
Neutrosophic c-means and pre-trained AlexNet FC8 deep learning for classification of carbon emissions levels in Forest Biomass
A practical approach for reliability-oriented multi-objective unit commitment problem
Evaluation of a novel fuzzy sequential pattern recognition tool (fuzzy elastic matching machine) and its applications in speech and handwriting recognition
On the use of ensemble of classifiers for accelerometer-based activity recognition
Graph ensemble deep random vector functional link network for traffic forecasting
Knowledge Assisted Differential Evolution Extreme Gradient Boost algorithm for estimating mangrove aboveground biomass
A multi-attribute group decision making method considering both the correlation coefficient and hesitancy degrees under interval-valued intuitionistic fuzzy environment
Increasing-Dimension Evolution: Make the evolutionary design of passive filters more efficient
Challenges with hard-to-learn data in developing machine learning models for predicting the strength of multi-recycled aggregate concrete
A novel method for structure selection of the Recurrent Random Neural Network using multiobjective optimisation
Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations
Reliability analysis on competitive failure processes under fuzzy degradation data
Efficient and performant Transformer private inference with heterogeneous attention mechanisms
An implicit aspect-based sentiment analysis method using supervised contrastive learning and knowledge embedding
Computational model for identifying stereotyped behaviors and determining the activation level of pseudo-autistic
InOvIn: A fuzzy-rough approach for detecting overlapping communities with intrinsic structures in evolving networks
An application of Generative Adversarial Networks to improve automatic inspection in automotive manufacturing
GhostNet and pair-wise similarity module for cross-domain few-shot classification of hyperspectral images
Developing a new ensemble approach with multi-class SVMs for Manuka honey quality classification
An improved adaptive differential evolution optimizer for non-convex Economic Dispatch Problems
Ensemble multi-label classification using closed frequent labelsets and label taxonomies
A wrapper methodology to learn interval-valued fuzzy rule-based classification systems
Generalized face forgery detection with self-supervised face geometry information analysis network
Estimating long-term impacts of tunnel infrastructure development on urban sustainability using granular computing
Prediction of service life of large centrifugal compressor remanufactured impeller based on clustering rough set and fuzzy Bandelet neural network
Intelligent adaptive model-based control of robotic dynamic systems with a hybrid fuzzy-neural approach
Mixed spatial pyramid pooling for semantic segmentation
An immunoglobulin-based artificial immune system for solving the hybrid flow shop problem
A practical implementation of Robust Evolving Cloud-based Controller with normalized data space for heat-exchanger plant
Classical, Bayesian, and machine learning approaches for traffic intensity estimation in M/M/1 queues with balking
Glowworm swarm optimization algorithm with topsis for solving multiple objective environmental economic dispatch problem
Mutually-exclusive-and-collectively-exhaustive feature selection scheme
EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks
Semi-supervised learning using hidden feature augmentation
A branch-and-bound procedure for a single-machine earliness scheduling problem with two agents
Automatic design of fuzzy logic controllers for medium access control in wireless body area networks - An evolutionary approach
Design of a two-echelon freight distribution system in an urban area considering third-party logistics and loading-unloading zones
Dynamic metaheuristic selection via Thompson Sampling for online optimization
Characterization of runtime resource usage from analysis of binary executable programs
A vector-encirclement-model-based sparrow search algorithm for engineering optimization and numerical optimization problems
Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study
Cuckoo search algorithm with membrane communication mechanism for modeling overhead crane systems using RBF neural networks
Design of attribute control charts under uncertainty with normality analyses: Impact of operator hesitancy during inspection processes in manufacturing industry with a real case application
An adaptive new state recognition method based on density peak clustering and voting probabilistic neural network
Inception v3 based cervical cell classification combined with artificially extracted features
Online distributed fuzzy modeling of nonlinear PDE systems: Computation based on adaptive algorithms
Artificial bee colony directive for continuous optimization
Unsupervised representation learning with Laplacian pyramid auto-encoders
Modeling of input-output relationships for a plasma spray coating process using soft computing tools
FLAP: Fireworks algorithm based probabilistic planning
Combined fuzzy-metaheuristic framework for bridge health monitoring using UAV-enabled rechargeable wireless sensor networks
A secure distributed machine learning protocol against static semi-honest adversaries
A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networks
Financial trading decisions based on deep fuzzy self-organizing map
A two-step multi-objectivization method for improved evolutionary optimization of industrial problems
A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA
A multi-objective pharmaceutical supply chain network based on a robust fuzzy model: A comparison of meta-heuristics
An improved MOEA/D algorithm for multi-objective multicast routing with network coding
An adaptive uniform search framework for constrained multi-objective optimization
Z-number-valued rule-based classification system
Roulette wheel-based level learning evolutionary algorithm for feature selection of high-dimensional data
A novel semi-quantitative Fuzzy Cognitive Map model for complex systems for addressing challenging participatory real life problems
Auto-tune learning framework for prediction of flowability, mechanical properties, and porosity of ultra-high-performance concrete (UHPC)
Spatio-temporal analysis for obstacle detection in agricultural videos
Evaluation of sustainable strategies for implementing blockchain technology in the solar energy supply chain under fuzzy ZE-numbers
A problem transformation method based on elite-inspired evolutionary algorithm for large-scale multi-objective optimization
Considering the imperfect cooperation among workers in the two-sided partial disassembly line balancing problem and the corresponding multi-modal multi-objective solution algorithm
An interval type-2 fuzzy logic system-based method for prediction interval construction
A Particle Swarm Optimization and Variable Neighborhood Search based multipopulation algorithm for Inter-Domain Path Computation problem
Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect
Reparameterized and regularized prompt learning based on feature attention for explainable recommendation system
An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms
Multi-agent simulated annealing algorithm with parallel adaptive multiple sampling for protein structure prediction in AB off-lattice model
Two-level K-nearest neighbors approach for invasive plants detection and classification
An information entropy-based evolutionary computation for multi-factorial optimization
Multi-level retrieval with semantic Axiomatic Fuzzy Set clustering for question answering
Dual linear latent space constrained generative adversarial networks for hyperspectral image classification
New benchmark algorithms for No-wait Flowshop Group Scheduling Problem with Sequence-Dependent Setup Times
Fuzzy robust flexible programming with Me measure for electric sustainable supply chain
Composite adaptive locally weighted learning control for multi-constraint nonlinear systems
On the diversity and robustness of parameterised multi-objective test suites
Incorporating asset growth potential and bear market safety switches in international portfolio decisions
Bayesian network safety risk analysis for the dam-foundation system using Monte Carlo simulation
Constrained evolutionary algorithms for epidemic spreading curing policy
An antigravity-based fuzzy Gravitational Search Algorithm for economic dispatch problems
Development, analysis and applications of a quantitative methodology for assessing customer satisfaction using evolutionary optimization
A synergistic expert-machine Bayesian Belief Network approach for innovation strategy selection
Rule inducing by fuzzy lattice reasoning classifier based on metric distances (FLRC-MD)
An interval type-2 fuzzy ORESTE method for waste-to-energy plant site selection: A case study in China
A Bayesian Imprecise Classification method that weights instances using the error costs
Artificial bee colony algorithm based on multiple neighborhood topologies
Approximation of functions with spatial inhomogeneity based on "true" ortho-ridgelet neural network
Deep learning and multilingual sentiment analysis on social media data: An overview
The regular language-constrained orienteering problem with time windows
Inventory replenishment model using fuzzy multiple objective programming: A case study of a high-tech company in Taiwan
A hybrid ant-tabu algorithm for solving a multistate flow network reliability maximization problem
Size optimization for hybrid photovoltaic-wind energy system using ant colony optimization for continuous domains based integer programming
An autonomous GP-based system for regression and classification problems
Adaptive encoding and comprehensive attention decoding network for medical image segmentation
A dual-reconstruction self-rectification framework with momentum memory-augmented network for multivariate time series anomaly detection
Deep semi-supervised regression via pseudo-label filtering and calibration
Hybrid techniques based on solving reduced problem instances for a longest common subsequence problem
Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos
Hybrid GA for material routing optimization in supply chain
Reinforcement learning-driven dual neighborhood structure artificial bee colony algorithm for continuous optimization problem
MACityChat: Integrating remote sensing professional large model with general-purpose large model for multi-domain urban land use analysis
Class-specific intuitionistic fuzzy kernel ridge regression classifier
Two-level iterated local search for WDM network design problem with traffic grooming
Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study
The knowledge trajectory and thematic evolution of the rough sets research: A main path and scientific mapping analysis
An integrated decision support system for supplier selection and performance evaluation in global supply chains
Cognitive-inspired knowledge graph fusion for gradient-aligned multimodal sentiment analysis
A single-loop reliability-based design optimization using adaptive differential evolution
MOCCA-II: A multi-objective co-operative co-evolutionary algorithm
Adaptive non-additive generalized fuzzy systems
Sarcasm detection in mash-up language using soft-attention based bi-directional LSTM and feature-rich CNN
McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices
Dynamic chaotic Gold-Panning Optimizer and its typical engineering applications
A lightweight visual mamba network for image recognition under resource-limited environments
Automated selection of regression algorithms with soft computing techniques
Water cycle algorithm-based economic dispatcher for sequential and simultaneous objectives including practical constraints
Data clustering using leaders and followers optimization and differential evolution
Minimizing harmonic distortion in power system with optimal design of hybrid active power filter using differential evolution
Deep RegNet-150 architecture for single image super resolution of real-time unpaired image data
Dynamic cooperative coevolution based on variable importance for non-separable large-scale global optimization
Automated classification reveals morphological factors associated with dementia
Fast adapting value estimation-based hybrid architecture for searching the world-wide web
Quaternary converter based balanced graph contrastive learning for recommendation
Feature fusion-based hand gesture classification with time-domain descriptors and multi-level deep attention network
Optimizing anomaly detection in 3D MRI scans: The role of ConvLSTM in medical image analysis
An evidential DEMATEL method to identify critical success factors in emergency management
Enhancing medical image classification with generative AI using latent denoising diffusion probabilistic model and wiener filtering approach
AIGSA-based multi-jammer localization in wireless networks
A switched parameter differential evolution with optional blending crossover for scalable numerical optimization
End-to-End 3D point cloud question answering via state space models
Multi-view clustering via simultaneous weighting on views and features
Local-to-global multi-modal domain adversarial learning framework for multi-source domain mechanical fault diagnosis
Chaos-based Vortex Search algorithm for solving inverse kinematics problem of serial robot manipulators with offset wrist
A cluster-based data splitting method for small sample and class imbalance problems in impact damage classification
A surrogate assisted evolutionary multitasking optimization algorithm
A robust incomplete large-scale group decision-making model for metaverse metro operations and maintenance
Adaptive fuzzy logic with self-tuned membership functions based repetitive learning control of robotic manipulators
Body sway and global equilibrium condition of the elderly in quiet standing posture by using competitive neural networks
Non-parameter clustering algorithm based on saturated neighborhood graph
A hybrid method of 2-TSP and novel learning-based GA for job sequencing and tool switching problem
Sparsification of the alignment path search space in dynamic time warping
Leaf disease detection using machine learning and deep learning: Review and challenges
Forecasting of COVID19 per regions using ARIMA models and polynomial functions
Classifier design for static security assessment using particle swarm optimization
Design of a pipeline leakage detection using expert system: A novel approach
Identification of shaft orbit for hydraulic generator unit using chain code and probability neural network
Bio-inspired voice evaluation mechanism
Optimal design of passive power filters based on multi-objective bat algorithm and pareto front
2D Self-organized ONN model for Handwritten Text Recognition
New imbalanced bearing fault diagnosis method based on Sample-characteristic Oversampling TechniquE (SCOTE) and multi-class LS-SVM
Combining genetic local search into a multi-population Imperialist Competitive Algorithm for the Capacitated Vehicle Routing Problem
PCA and ICA processing methods for removal of artifacts and noise in electrocardiograms: A survey and comparison
Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm
A medical procedure-based patient grouping method for an emergency department
A comparative study on evolutionary multi-objective algorithms for next release problem
Efficient Distributed Genetic Algorithm for Rule extraction
Colonial competitive differential evolution: An experimental study for optimal economic load dispatch
A local binary social spider algorithm for feature selection in credit scoring model
Path-planning algorithm for small environmental surveillance unmanned surface vehicles
EEG channel reconstruction using convolutional neural networks in limited BCIs: A proposed method for neuromarketing applications
Deep non-local point cloud denoising network
A generalized Lorenz system-based initialization method for deep neural networks
Flocking behaviour in simple ecosystems as a result of artificial evolution
Wearing myopia glasses on GANs: Mitigating bias for pre-trained Generative Adversarial Networks via online prior perturbation
On the improved performances of the particle swarm optimization algorithms with adaptive parameters, cross-over operators and root mean square (RMS) variants for computing optimal control of a class of hybrid systems
An integrated driver warning system for driver and pedestrian safety
Smoke detection in video using convolutional neural networks and efficient spatio-temporal features
Support vector machines classification based on particle swarm optimization for bone age determination
Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction
A comparison of clustering-based privacy-preserving collaborative filtering schemes
System reliability prediction by support vector regression with analytic selection and genetic algorithm parameters selection
Sustainable circular supplier evaluation in project-driven supply chains with a fuzzy stochastic decision model under uncertainty
Detecting and differentiating the DDoS and flash events using adaptive deep learning models
A hybrid method for crude oil price direction forecasting using multiple timeframes dynamic time wrapping and genetic algorithm
A novel codification and modified heuristic approaches for optimal reconfiguration of distribution networks considering losses cost and cost benefit from voltage profile improvement
A genetic algorithm for a creativity matrix cubic space clustering: A case study in Mazandaran Gas Company
An improved runner-root algorithm for solving feature selection problems based on rough sets and neighborhood rough sets
Short search space and synthesized-reference re-ranking for face image retrieval
Topology and size optimization for a flexure hinge using an integration of SIMP, deep artificial neural network, and water cycle algorithm
Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives
Trust-region based adaptive radial basis function algorithm for global optimization of expensive constrained black-box problems
Multi-scale feature fusion distilled attention network for efficient image super-resolution
A competitive Predator-Prey approach to enhance surveillance by UAV swarms
Self-supervised learning for fair recommender systems
Using variable reduction strategy to accelerate evolutionary optimization
PSOSCALF: A new hybrid PSO based on Sine Cosine Algorithm and Levy flight for solving optimization problems
Implementing the confidence constraint cloud-edge collaborative computing strategy for ultra-efficient arrhythmia monitoring
Deep Q network with action retention for going long and short selling
CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients
A full-featured cooperative coevolutionary memory-based artificial immune system for dynamic optimization
Enhancing the performance of CNN models for pneumonia and skin cancer detection using novel fractional activation function
A hyper-heuristic based framework for dynamic optimization problems
A real-time neuro-adaptive controller with guaranteed stability
An efficient regular expression inference approach for relevant image extraction
A parallel hybrid optimization algorithm for fitting interatomic potentials
A three-way c-means algorithm
Efficient dual-branch high-resolution transformer design for crack segmentation
A data-driven implicit deep adaptive neuro-fuzzy inference system capable of manifold learning for function approximation
Gene selection for designing optimal fuzzy rule base classifier by estimating missing value
A vague set approach for identifying shot transition in videos using multiple feature amalgamation
Fuzzy logic controller for rate-adaptive heart pacemaker
A novel dependency definition exploiting boundary samples in rough set theory for hyperspectral band selection
Novel fuzzy clustering scheme for 3D wireless sensor networks
Supporting the development of synchronous text-based computer-mediated communication with an intelligent diagnosis tool
A learnheuristic approach for the team orienteering problem with aerial drone motion constraints
An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images
UIStore: A secure encryption framework for underwater images based on hybrid chaotic dynamics and metaheuristic optimization
Unravelling sleep patterns: Supervised contrastive learning with self-attention for sleep stage classification
Adaptive robotics in entertainment
Multimodal brain tumor detection using multimodal deep transfer learning
Modeling the process of shaping the public opinion through Multilevel Fuzzy Cognitive Maps
Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects
Novel leakage detection by ensemble 1DCNN-VAPSO-SVM in oil and gas pipeline systems
A Quasi-Oppositional-Chaotic Symbiotic Organisms Search algorithm for global optimization problems
A linear directional optimum weighting (LDOW) approach for parallel hybridization of classifiers
A surrogate evolutionary neural architecture search algorithm for graph neural networks
A biased randomised GRASP for the electric vehicle routing problem with heterogeneous supplemental infrastructures
A type-2 neural fuzzy system learned through type-1 fuzzy rules and its FPGA-based hardware implementation
Group decision making using distances between unbalanced linguistic assessments
Computational intelligence in optical remote sensing image processing
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
A new ABC variant for solving inverse kinematics problem in 5 DOF robot arm
Evolutionary neuro-fuzzy system for surface roughness evaluation
Hybrid-biomarker case-based reasoning system for water pollution assessment in Abou Hammad Sharkia, Egypt
Multi-objective colonial competitive algorithm for hybrid flowshop problem
Smarten up computational intelligence to decipher time series data
MSMANet: A multi-scale mesh aggregation network for brain tumor segmentation
Exponential Stability of uncertain functional differential equations
Safe drug recommendation through forward data imputation and recurrent residual neural network
Designing deep-network based novelty assessment model in Design education
A multi-class learning method for multiconlitron using hybrid binary tree architecture
Hybridization of Chaos and Flower Pollination Algorithm over K-Means for data clustering
A multi-objective evolutionary algorithm with decomposition and the information feedback for high-dimensional medical data
Risk prioritization by Z-VIKOR method under incomplete reliable information and its application in CCUS project site selection
Economic dispatch of power systems using an adaptive charged system search algorithm
A stochastic proportional-differential TLBO algorithm and its applications for wafer transfer finger