yusuke1997/dblp-id-title huggingface dataset:
Automatic cluster evolution using gravitational search algorithm and its application on image segmentation
Unscented Kalman filter neural network with double-layer decomposition algorithm applied to the prediction of current efficiency in aluminum electrolysis processes
A novel adaptive fuzzy predictive control for hybrid systems with mixed inputs
Design and experimental evaluation of a fuzzy logic pressure controller for the Airbus 310/320 braking control system
Toward sensitive document release with privacy guarantees
A cross-dimensional synergistic network for brain tumor segmentation
Overall particle size distribution estimation method based on kinetic modeling and transformer prediction
Underwater moving target detection and tracking based on enhanced you only look once and deep simple online and realtime tracking strategy
Simultaneously local and global contrastive learning of graph representations
Target-shaped possibilistic clustering applied to local-model identification
PlantBiCNet: A new paradigm in plant science with bi-directional cascade neural network for detection and counting
Image captioning using transformer-based double attention network
Swarm control based on artificial potential field method with predicted state and input threshold
Intelligent mining methodology of product field failure data by fusing deep learning and association rules for after-sales service text
Towards non-visual bowel cancer diagnosis: A certainty-aware data-driven method of lesion characterisation using a vibrating capsule
Agent-based fuzzy constraint-directed negotiation mechanism for distributed job shop scheduling
Machine learning-based heat deflection temperature prediction and effect analysis in polypropylene composites using catboost and shapley additive explanations
Design and implementation of a fuzzy supervisor for on-line compensation of nonlinearities: An instability avoidance module
Particle swarm optimization for biomass-fuelled systems with technical constraints
A new Takagi-Sugeno-Kang model for time series forecasting
Preface of the special section on selected best papers of the Ninth International Workshop on Cooperative Information Agents (CIA-2004)
SubAttack: A word-level adversarial textual attack method via antonym substitution
Support vector machine classifier with huberized pinball loss
Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining
A quantum-inspired gravitational search algorithm for binary encoded optimization problems
Mechanical equipment health management method based on improved intuitionistic fuzzy entropy and case reasoning technology
Improving current interest with item and review sequential patterns for sequential recommendation
Multi-scale low-frequency enhanced spectral neural operator for reducing low-frequency error in partial differential equations solving
SCB-ADAE: An attention-based deep autoencoder for ground penetrating radar signal denoising
Rapid rock mass classification framework using machine learning and semantic segmentation for underground mining
Physics-informed neural ordinary differential equations and mass-spring system modeling framework for predicting the real-time soft-tissue deformations
Cross-attention interaction learning network for multi-model image fusion via transformer
A novel algorithm for privacy preserving utility mining based on integer linear programming
A WordNet-based semantic similarity measurement combining edge-counting and information content theory
Multi-objective optimization of buckling load and natural frequency in functionally graded porous nanobeams using non-dominated sorting genetic Algorithm-II
Blockchain-enabled federated learning with capsule network and incremental extreme learning machines for gastrointestinal bleeding detection in wireless capsule endoscopy
Tissue-contrastive semi-masked autoencoders for segmentation pretraining on chest computed tomography
BDI reasoning with normative considerations
Optimization of rule-based systems in mHealth applications
Multi-source domain adaptation with knowledge transfer for credit risk classification
Dynamic graph-based convergence acceleration for topology optimization in unstructured meshes
The PID controller optimisation module using Fuzzy Self-Tuning PSO for Air Handling Unit in continuous operation
Medical image segmentation method based on full perceived dynamic network
A three-dimensional dynamic spatial-temporal graph neural network for ocean temperature field prediction
A user-independent real-time emotion recognition system for software agents in domestic environments
Feature distillation and guide network for unsupervised underwater image enhancement
Dynamic scheduling of workshop resource in cloud manufacturing environment
Lightweight deep learning based solar cells defect detection using electroluminescence images
Inertial proximal stochastic gradient method with adaptive sampling for non-convex and non-smooth problems
Identification of tumor region parameters using evolutionary algorithm and multiple reciprocity boundary element method
Development of advanced hybrid mechanistic-artificial intelligence computational model for learning of numerical data of flow in porous membranes
Towards robust shielded reinforcement learning through adaptive constraints and exploration: The fear field framework
The two stage assembly flow-shop scheduling problem with batching and delivery
Fast selection of the sea clutter preferential distribution with neural networks
Research on efficient and fast extraction of vineyard navigation path based on key point detection
Quasi opposite-based learning and double evolutionary QPSO with its application in optimization problems
Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques
Autoregressive integrated moving average with semantic information: An efficient technique for intelligent prediction of dengue cases
Fuzzy risk analysis based on a similarity measure of fuzzy numbers and its application in crop selection
Generating realistic urban traffic flows with evolutionary techniques
Data-driven spiking neural networks for intelligent fault detection in vehicle lithium-ion battery systems
Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process
Pedestrian re-identification algorithm based on global attention and region ranking
Exploring variable-length features (motifs) for predicting binding sites through interpretable deep neural networks
Automatic stem phenotyping in soybean using keypoint detection
Data Privacy Protection for Edge Computing of Smart City in a DIKW Architecture
Industrial device-aided data collection for real-time rail defect detection via a lightweight network
Control of absorption columns in the bioethanol process: Influence of measurement uncertainties
A feasible solution model for manifold clustering
A robust model selection framework for fault detection and system health monitoring with limited failure examples: Heterogeneous data fusion and formal sensitivity bounds
Adaptive detection method for driver fatigue using facial multisource dynamic behavior fusion
Investigating the effectiveness of hybrid gradient boosting models and optimization algorithms for concrete strength prediction
An end-to-end deep convolutional neural network-based data-driven fusion framework for identification of human induced pluripotent stem cell-derived endothelial cells in photomicrographs
RT-FedFlow: An efficient framework for real-time traffic signal optimization using federated multi-agent reinforcement learning
Fault-tolerant design of non-linear iterative learning control using neural networks
A modularized case adaptation method of case-based reasoning in parametric machinery design
A multiple criteria decision support on-line system for construction
A digital implantation system for Z-direction yarn of three-dimensional preform based on flexible oriented woven process
New mixed-coding PSO algorithm for a self-adaptive and automatic learning of Mamdani fuzzy rules
A quantum algorithm for solving weapon target assignment problem
Dynamic fuzzy paths and cycles in multi-level directed graphs
Mining of skyline patterns by considering both frequent and utility constraints
A prompt construction method for the reverse dictionary task of large-scale language models
Robust lane line segmentation based on group feature enhancement
A hybrid convolutional neural network-transformer method for received signal strength indicator fingerprinting localization in Long Range Wide Area Network
Autonomous dynamic formation for maritime target tracking using multi-agent reinforcement learning
The three-party evolutionary game of preannouncement strategies for platform's AI updates considering users' loyalties
An image-to-image adversarial network to generate high resolution wind data over complex terrains from weather predictions
Piston aero-engine fault cross-domain diagnosis based on unpaired generative transfer learning
Adaptive few-shot image augmentation for fine-grained industrial defects based on region-level modeling
Sparse Bayesian similarity learning based on posterior distribution of data
Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery
RGB-T image analysis technology and application: A survey
A rapid aerodynamic simulation framework for subsonic and transonic airfoil flow fields
Observer-biased bearing condition monitoring: From fault detection to multi-fault classification
An algorithm to compute time-balanced clusters for the delivery logistics problem
Self-organizing broad network with frequency-domain analysis
Hierarchical waste detection with weakly supervised segmentation in images from recycling plants
Robust modelling of binary decisions in Laplacian Eigenmaps-based Echo State Networks
Training neural networks with harmony search algorithms for classification problems
Detection of breath sounds in speech: A deep learning approach
Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures
Cross-domain facial expression recognition: Bi-Directional Fusion of Active and Stable Information
A new classification method based on the negation of a basic probability assignment in the evidence theory
Fuzzy logic-controlled diversity-based multi-objective memetic algorithm applied to a frequency assignment problem
Robust adaptive learning control using spiking-based self-organizing emotional neural network for a class of nonlinear systems with uncertainties
Fuzzy A∗ quantum multi-stage Q-learning artificial potential field for path planning of mobile robots
A problem-specific knowledge-based multi-objective algorithm for sustainable scheduling of distributed heterogeneous welding permutation flow shop
Multi-scale spatiotemporal feature fusion for super-resolution video reconstruction in dynamic scenes
Research on decision-level fusion method based on structural causal model in system-level fault detection and diagnosis
Deep softmax collaborative representation for robust degraded face recognition
A codebook-driven approach for low-light image enhancement
Facing the classification of binary problems with a hybrid system based on quantum-inspired binary gravitational search algorithm and K-NN method
DEM-AIA: Asymmetric inclination-aware trajectory planner for off-road vehicles with digital elevation models
End-to-end deep learning pipeline for on-board extraterrestrial rock segmentation
SVM-PSO based rotation-invariant image texture classification in SVD and DWT domains
Mamba model guided deep visual-inertial odometry
A novel uncertainty modeling method in complex evidence theory for decision making
Selection of relevant variables for industrial process modeling by combining experimental data sensitivity and human knowledge
A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach
Function finding via genetic expression programming for strength and elastic properties of clay treated with bottom ash
Development of a land use extraction expert system through morphological and spatial arrangement analysis
Application of an enhanced decision tree learning approach for prediction of petroleum production
STENet: A hybrid spatio-temporal embedding network for human trajectory forecasting
Optimal production scheduling with multi-round information interaction for demander-dominated decentralized scheduling problem
Automatic real-time crack detection using lightweight deep learning models
Tabu search with graph reduction for finding maximum balanced bicliques in bipartite graphs
Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest
A modified genetic algorithm approach for scheduling of perfect maintenance in distributed production scheduling
Different applications of machine learning approaches in materials science and engineering: Comprehensive review
Improved K2 algorithm for Bayesian network structure learning
Self-supervised rotation-equivariant spherical vector network for learning canonical 3D point cloud orientation
Design of cooperative processes in a customer-supplier relationship: An approach based on simulation and decision theory
Coalition formation with dynamically changing externalities
An enhanced ensemble deep random vector functional link network for driver fatigue recognition
Interpretable knowledge-guided framework for modeling reservoir water-sensitivity damage based on Light Gradient Boosting Machine using Bayesian optimization and hybrid feature mining
Intelligent void identification of particle packing system of caved ore and rock
Solution of wide and micro background bias in contrastive action representation learning
Structural dynamics simulation using a novel physics-guided machine learning method
A Beta basis function Interval Type-2 Fuzzy Neural Network for time series applications
Real-time internal pressure prediction in air-supported membrane structures using a modified ideal gas law and neural networks
Explainable knowledge recommendation for product innovation concept design based on knowledge graph and multi-task learning
Policy derivation methods for critic-only reinforcement learning in continuous spaces
Advanced multi-layer deep learning model for accurate estimation of heat transfer and flow designing parameters across diverse dataset configurations
Cross-modal feature fusion and distillation for enhanced quantification accuracy in laser-induced breakdown spectroscopy and near-infrared spectroscopy
Information extraction from multi-layout invoice images using FATURA dataset
Applying convolutional attention mechanisms and Human Memory Search for effective English-Urdu translation
A cooperative EV charging scheduling strategy based on double deep Q-network and Prioritized experience replay
Goal-oriented requirements analysis and reasoning in the Tropos methodology
PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection
Multi-condition pipeline leak diagnosis based on acoustic image fusion and whale-optimized evolutionary convolutional neural network
A new framework for mining frequent interaction patterns from meeting databases
GMFLLM: A general manifold framework unifying three classic models for dimensionality reduction
Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language Inference
Attractive-and-repulsive center-symmetric local binary patterns for texture classification
Fault-Seg-LNet: A method for seismic fault identification based on lightweight and dynamic scalable network
Assessing the factors of blockchain technology-enabled hospitals using an integrated interval-valued q-rung orthopair fuzzy decision-making model
Artificial intelligence in industrial design: A semi-automated literature survey
A generative design method of airfoil based on conditional variational autoencoder
An interpretable and physics-informed adaptive multi-branch deep learning framework for intelligent fault diagnosis of large-scale multi-row tapered roller bearings
Prediction of mixing efficiency in induced charge electrokinetic micromixer for non-Newtonian fluids using hybrid computational fluid dynamics-artificial neural network approach
Continual learning classification method with human-in-the-loop based on the artificial immune system
Damage and energy dissipation prediction and multi-objective optimization design of latticed concrete-filled steel tube column-composite box girder joints based on extreme gradient boosting
A K-Net-based hybrid semantic segmentation method for extracting lake water bodies
A multi-external archive-guided Henry Gas Solubility Optimization algorithm for solving multi-objective optimization problems
Adaptive neural network control of manipulators with uncertain kinematics and dynamics
Optimal kernel choice for domain adaption learning
Dynamic event-triggered fixed-time consensus control for coupled multi-permanent magnet synchronous motors stochastic system with prescribed performance
A survey of causal discovery based on functional causal model
Remote sensing scene classification with relation-aware dynamic graph neural networks
DNoiseNet: Deep learning-based feedback active noise control in various noisy environments
A new belief divergence measure for Dempster-Shafer theory based on belief and plausibility function and its application in multi-source data fusion
A trial solution for imposing boundary conditions of partial differential equations in physics-informed neural networks
Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms
Flexible margins and multiple samples learning to enhance lexical semantic similarity
Complex Deng entropy for uncertainty measure in complex evidence theory
A novel intelligent approach for state space evolving forecasting of seasonal time series
Dynamic instance-aware layer-bit-select network on human activity recognition using wearable sensors
Immunity-based hybrid evolutionary algorithm for multi-objective optimization in global container repositioning
A machine learning approach for user localization exploiting connectivity data
Evaluating pre-trained convolutional neural networks and foundation models as feature extractors for content-based medical image retrieval
Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
Enhancing the performance of Piezoelectric Energy Harvester under electrostatic actuation using a robust metaheuristic algorithm
Enhancing healthcare supply chain management through artificial intelligence-driven group decision-making with Sugeno-Weber triangular norms in a dual hesitant q-rung orthopair fuzzy context
A lightweight and high-accuracy framework for Printed Circuit Board defect detection
A modal transfer enhanced deep learning for structural dynamic response with sparse spatial data
Connected vehicle following control based on gated recurrent unit with attention mechanism
A new approach for multimodel identification of complex systems based on both neural and fuzzy clustering algorithms
Deep learning with image-based autism spectrum disorder analysis: A systematic review
Density peak clustering based on nearest neighbors
A novel carbon price combination forecasting approach based on multi-source information fusion and hybrid multi-scale decomposition
Boundary-refined prototype generation: A general end-to-end paradigm for semi-supervised semantic segmentation
Evolution of Building Energy Management Systems for greater sustainability through explainable artificial intelligence models
Cooperative task assignment of heterogeneous unmanned aerial vehicles for simultaneous multi-directional attack on a moving target
Relaxed multi-view discriminant analysis
Prototype-driven hierarchical skeleton modeling for visible-infrared person Re-identification
A dual branch fusion network for self-supervised sonar image despeckling
Concurrent historical data clustering and common feature learning for new-mode zero-shot industrial anomaly detection
Source-free cross-machine fault diagnosis method in a two-stage pseudo-supervised framework
Enhancing fine-grained geographic named entity recognition by Multi-scale Siamese Reconstruction Network
Exponential distance transform maps for cell localization
Velocity based artificial bee colony algorithm for high dimensional continuous optimization problems
Data interpretation framework integrating machine learning and pattern recognition for self-powered data-driven damage identification with harvested energy variations
Satellite constellation method for ground targeting optimized with K-means clustering and genetic algorithm
A network intrusion detection system based on self-supervised learning of traffic differentiation in Internet of Things
An improved generative adversarial network to oversample imbalanced datasets
An ensemble and shared selective adversarial network for partial domain fault diagnosis of machinery
An augmented system approach for LMI-based control design of constrained Takagi-Sugeno fuzzy systems
Deep learning based multi-labelled soil classification and empirical estimation toward sustainable agriculture
Three-level-fused attribute reductions based on three-view uncertainty measures of three-view weighted neighborhood rough sets
Learning from more to predict with less: Representation-level multimodal distillation to address training-inference data asymmetry in surrogate modeling
Magentix2: A privacy-enhancing Agent Platform
Development of mechanistic-artificial intelligence model for simulation of numerical data of water flow in porous materials
GRASP/VND and multi-start evolutionary local search for the single truck and trailer routing problem with satellite depots
Identification of nonlinear systems with outliers using wavelet neural networks based on annealing dynamical learning algorithm
Auto feature weighted c-means type clustering methods for color image segmentation
High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition
An autonomous cooperative system of multi-AUV for underwater targets detection and localization
A graph neural network-based teammate recommendation model for knowledge-intensive crowdsourcing
A novel unmanned aerial vehicles task allocation approach based on the intuitionistic fuzzy multi-criteria bilateral matching-based decision-making method
An uncertainty-aware safe-evolving reinforcement learning algorithm for decision-making and control in highway autonomous driving
An unsupervised neural network for graphical health index construction and residual life prediction
A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
A hierarchical airlight estimation method for image fog removal
Metaheuristics in circular supply chain intelligent systems: A review of applications journey and forging a path to the future
Nearly optimal neural network stabilization of bipedal standing using genetic algorithm
Attention-guided network for infrared unmanned aerial vehicle target detection
Some aspects concerning the implementation of a parallel hybrid metaheuristic
Designing an adaptive learning framework for predicting drug-target affinity using reinforcement learning and graph neural networks
Decorrelating structure via adapters makes ensemble learning practical for Semi-supervised Learning
Graph-based multi-source domain adaptation with contrastive and collaborative learning for image deraining
Performing predefined tasks using the human-robot interaction on speech recognition for an industrial robot
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
A dual-time dual-population multi-objective evolutionary algorithm with application to the portfolio optimization problem
Learning configurations of wires for real-time shape estimation and manipulation planning
Compound short- and long-term memory for memory augmented neural networks