yusuke1997/dblp-id-title huggingface dataset:
Multimodal data imputation and fusion for trustworthy fault diagnosis of mechanical systems
Soil seismic response modeling of KiK-net downhole array sites with CNN and LSTM networks
A Stackelberg security game with random strategies based on the extraproximal theoretic approach
A semi-supervised load identification method with class incremental learning
Reinforcement learning from expert demonstrations with application to redundant robot control
Integrating multimodal contrastive learning with prototypical domain alignment for unsupervised domain adaptation of time series
Project scheduling under uncertainty using fuzzy modelling and solving techniques
Modified bacterial foraging algorithm based multilevel thresholding for image segmentation
Designing Type-1 and Type-2 Fuzzy Logic Controllers via Fuzzy Lyapunov Synthesis for nonsmooth mechanical systems
A hybrid meta-heuristic algorithm for scientific workflow scheduling in heterogeneous distributed computing systems
How to learn from the resilience of Human-Machine Systems?
Classification of Upper limb phantom movements in transhumeral amputees using electromyographic and kinematic features
Global conformance checking measures using shallow representation and deep learning
Underground mine truck travel time prediction based on stacking integrated learning
Demand coverage diversity based ant colony optimization for dynamic vehicle routing problems
A multi-scale deep feature memory and recovery network for multi-sensor fault diagnosis in the channel missing scenario
SR-NBS: A fast sparse representation based N-best class selector for robust phoneme classification
Mechanical reliability of high-power modules via simulation-based machine learning
SD Builder ® : A production rules-based tool for on-line simulation, decision making and discrete process control
An enhanced deep reinforcement learning approach for efficient, effective, and equitable disaster relief distribution
Interpretable manifold learning for T-wave alternans assessment with electrocardiographic imaging
Predicting the properties of metamaterials consisting of curved-wall triangles using ensemble neural networks with interpretability
Neural network-based sliding mode control of electronic throttle
Thermal images-aware guided early fusion network for cross-illumination RGB-T salient object detection
Behavioral three-way decision based multi-attribute decision-making for credible hesitant fuzzy information systems
A pharmaceutical cold-chain logistics service quality model using a q-rung orthopair fuzzy framework with distance measure
Skin lesion segmentation network based on state space modeling and convolutional perception
A data-driven physics-constrained deep learning computational framework for solving von Mises plasticity
Fault diagnosis in railway track circuits using Dempster-Shafer classifier fusion
Lithium-ion battery state of health estimation using a hybrid model based on a convolutional neural network and bidirectional gated recurrent unit
Automaton based on fuzzy clustering methods for monitoring industrial processes
Input parameterized physics informed neural networks for de noising, super-resolution, and imaging artifact mitigation in time resolved three dimensional phase-contrast magnetic resonance imaging
A collaborative surface target detection and localization method for an unmanned surface vehicle swarm
Explaining contributions of features towards unfairness in classifiers: A novel threshold-dependent Shapley value-based approach
A high-precision and efficient method for badminton action detection in sports using You Only Look Once with Hourglass Network
Adaptive motion/force control strategy for non-holonomic mobile manipulator robot using recurrent fuzzy wavelet neural networks
The usage of soft-computing methodologies in interpreting capsule endoscopy
Altered mineral segmentation in thin sections using an incremental-dynamic clustering algorithm
Artificial-intelligence assisted advanced exergy analysis of a preheat train in a petroleum refinery
A Progressive Multilevel Mixing-based knowledge distillation framework for enhancing three-dimensional object detection on compressed point clouds
Enhanced tunicate swarm algorithm for optimizing shape of C 2 RQI-spline curves
A high-accuracy deep learning framework for digital twin model development of actual chemical processes
Intermittent fault diagnosis of analog circuit based on enhanced one-dimensional vision transformer and transfer learning strategy
Another way: Direct regression of meter readings for circular pointer meter images
Welding heat source parameter optimization using a dynamic hybrid surrogate model
Stochastic topic models for large scale and nonstationary data
Deep dynamic image prior for three-dimensional time-sequence pulmonary electrical impedance tomography
Detection of novel prohibited item categories for real-world security inspection
Physical-informed deep learning framework for CO2-injected EOR compositional simulation
An optimisation approach guided by crack variation mechanism in the informer prediction model
Multi-task label noise learning for classification
Machine learning-based investigation of activation energy for bio-convective boundary layer flow inspired by challenges in aerospace heat transfer systems
Missing nodes detection on graphs with self-supervised contrastive learning
Firefly search algorithm based on leader strategy
Modeling solid oxide fuel cells using continuous-time recurrent fuzzy systems
Fault-tolerant control based on adaptive dynamic programming for reentry vehicles subjected to state-dependent actuator fault
Search task extraction using k-contour based recurrent deep graph clustering
Time Series Language Model for descriptive caption generation
A multi-objective market-driven framework for power matching in the smart grid
Automatic extraction of the fuzzy control system by a hierarchical genetic algorithm
Formal specification of an immune based agent architecture
Hybrid evolutionary algorithms and Lagrangian relaxation for multi-period star hub median problem considering financial and service quality issues
Model-driven engineering techniques for the development of multi-agent systems
Novel single and multi-layer echo-state recurrent autoencoders for representation learning
Asynchronous observer design for switched T-S systems with unmeasurable premises and switching mismatches
Overcoming model bias for robust offline deep reinforcement learning
An approach to optimizing semantic consistency for text-to-digital human generation
Deep Graph Weighted Convolutional Neural Network for healthcare recommendation with semantic level similarity hashing
Automated fluorescence microscopy image analysis of Pseudomonas aeruginosa bacteria in alive and dead stadium
MPI-based parallel synchronous vector evaluated particle swarm optimization for multi-objective design optimization of composite structures
A multi-agent deep reinforcement learning method for fully noisy observations
Emergency medical facility site selection in drone-based relief operations using an enhanced T-spherical fuzzy frank combined compromise solution method
A deep multi-instance neural network for dyeing-free inspection of yarn dyeing uniformity
Physics-guided neural network for predicting international roughness index on flexible pavements considering accuracy, uncertainty and stability
A deep learning-based sentiment flow analysis model for predicting financial risk of listed companies
An explainable and adaptive Internet of Things intrusion detection system supported by Large Language Models
Cooperative intelligent robust adaptive methodology for uncertain non-affine nonlinear multi-agent Systems: Application to multi-robot formation flight
Ground motion inversion utilizing sensor-based structural response time histories with a multi-head attention-enhanced temporal convolutional network
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
A constraint programming model for the scheduling of flexible manufacturing systems with machine and tool limitations
Automatic speech recognition for Moroccan dialect in noisy traffic environments
Scalability achievements for enumerative biclustering with online partitioning: Case studies involving mixed-attribute datasets
Riemann-Liouville fractional exponential sampling type neural network Kantorovich operators
Locality cross-view regression for feature extraction
A Dual-Population Constrained Multi-Objective Evolutionary Algorithm with Success Incentive Mechanism and its application to uncertain multimodal transportation problems
A dynamical artificial bee colony for vehicle routing problem with drones
FSGFuse: Feature synergy-guided multi-modality image fusion
RSHAN: Image super-resolution network based on residual separation hybrid attention module
Estimation of tool-chip contact length using optimized machine learning in orthogonal cutting
Knowledge-based operation optimization of a distillation unit integrating feedstock property considerations
Special issue on: "Emerging industrial Digitalisation and machine learning applications in maintenance engineering, asset, and operations management"
Binary dynamic stochastic search algorithm with support vector regression for feature selection in low-velocity impact localization problem
Nonlinear hierarchical editing: A powerful framework for face editing
Deep-learning-empowered visual ship detection and tracking: Literature review and future direction
Conducted Emission signal-based identification and real-time hardware security with deep learning
High-order correlation preserved multi-view unsupervised feature selection
Unsupervised fault diagnosis method for rolling bearings based on federated universal domain adaptation
Fault diagnosis of real-scenario battery systems in electric vehicles using the multi-scale fuzzy entropy algorithm
An Efficient Perceptual Video Compression Scheme Based on Deep Learning-Assisted Video Saliency and Just Noticeable Distortion
Physics-informed machine learning for near real-time stress prediction on a structural component: Application for landing gears
A novel knowledge-informed quadratic neurons residual network for explainable fault diagnosis in few-shot scenarios
Real time hand detection in a complex background
Semantic segmentation using Vision Transformers: A survey
Student progress assessment with the help of an intelligent pupil analysis system
Logic control law design for automated manufacturing systems
Health- and behavior-aware energy management strategy for fuel cell hybrid electric vehicles based on parallel deep deterministic policy gradient learning
A novel CT image segmentation model
Reliability-centered approach to artificial intelligence-driven predictive maintenance for industrial Internet of Things
Collaboration methods for ensembles of dispatching rules for the dynamic unrelated machines environment
Parameter identification of a nonlinear model of hydraulic turbine governing system with an elastic water hammer based on a modified gravitational search algorithm
PromptDNet: A weakly supervised prompt framework for single image dehazing via dual-level depth cues
Introducing a novel model of belief-desire-intention agent for urban land use planning
Cooperative multi-agent model for collision avoidance applied to air traffic management
Topological analysis of intuitionistic fuzzy distance measures with applications in classification and clustering
Improving the useful life of tools using active vibration control through data-driven approaches: A systematic literature review
Rice leaf disease identification and classification using machine learning techniques: A comprehensive review
A dynamic graph aggregation framework for 3D point cloud registration
Modelling of evaporation from the reservoir of Yuvacik dam using adaptive neuro-fuzzy inference systems
A GRASP×ELS for the vehicle routing problem with basic three-dimensional loading constraints
A Dynamic Cross-Domain Recommendation Model with Target-Aware Complementary Preference Transfer and Information Fusion
Multimodality based deep learning method for cancer-related T-cell receptor sequence prediction
Color texture image retrieval based on Copula multivariate modeling in the Shearlet domain
Design of ensemble neural network using the Akaike information criterion
The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems
Fault diagnosis of monoblock centrifugal pumps using pre-trained deep learning models and scalogram images
Determining predictable strike points on tossed objects: A 2D physics simulation approach
Cooperative coevolutionary approach for integrated vehicle routing and scheduling using cross-dock buffering
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning
Integrating Belief-Desire-Intention agents with large language models for reliable human-robot interaction and explainable Artificial Intelligence
Deep reinforcement learning-tuning hierarchical vehicle trajectory tracking framework based on improved kinematic model predictive control
Multi-class classification via heterogeneous ensemble of one-class classifiers
A reliable enhanced learning algorithm for ship detection in inland water maritime surveillance system
G-HFIN: Graph-based Hierarchical Feature Integration Network for propaganda detection of We-media news articles
A combined negative selection algorithm-particle swarm optimization for an email spam detection system
Deep learning approach for accurate and stable recognition of driver's lateral intentions using naturalistic driving data
A hybrid approach combining extreme learning machine and sparse representation for image classification
Achieving accurate trajectory predicting and tracking for autonomous vehicles via reinforcement learning-assisted control approaches
A framework to represent, capture, and trace ontology development processes
Hybridation of Bayesian networks and evolutionary algorithms for multi-objective optimization in an integrated product design and project management context
Driving risk prediction of urban arterial and collector roads using multi-dimensional real-time data
Three-dimensional deep shape optimization with a limited dataset
Machine learning-enabled performance-based design of three-dimensional printed engineered cementitious composites
Short-term electric load forecasting using particle swarm optimization-based convolutional neural network
Effective Flood prediction model based on Twitter Text and Image analysis using BMLP and SDAE-HHNN
FEDA-NRP: A fixed-structure multivariate estimation of distribution algorithm to solve the multi-objective Next Release Problem with requirements interactions
A deep learning-based surrogate model for probabilistic analysis of high-speed railway tunnel crown settlement in spatially variable soil considering construction process
On formalisation of the goal concept in law
Research on weld start point detection and localization using deep learning techniques
Deep Deterministic Policy Gradient Virtual Coupling control for the coordination and manoeuvring of heterogeneous uncertain nonlinear High-Speed Trains
Robust kernel adaptive filters based on mean p-power error for noisy chaotic time series prediction
A multi-modal approach for detecting drivers' distraction using bio-signal and vision sensor fusion in driver monitoring systems
Electric motor defects diagnosis based on kernel density estimation and Kullback-Leibler divergence in quality control scenario
Multi-objective optimization-based updating of predictions during excavation
Evaluation of a set of new ORF kernel functions of SVM for speech recognition
Aircraft detection in remote sensing image based on corner clustering and deep learning
Automation of trimming die design inspection by zigzag process between AI and CAD domains
Generalized deep neural network for seismic site response prediction with transfer learning
Hybrid framework of penetration resistance analysis by machine learning and finite element simulation
MCAGU-Net: A model for composite fault diagnosis of multi-sensor node networks
Experimental analyses of the K-hidden algorithm
Unsupervised learning for motion correction and assessment in brain magnetic resonance imaging using severity-based regularized cycle consistency
Correlation mining of multimodal features based on higher-order partial least squares for emotion recognition in conversations
Waveform level adversarial example generation for joint attacks against both automatic speaker verification and spoofing countermeasures
A practical approach to explaining defect proneness of code commits by causal discovery
Offline reinforcement learning for badminton tactical decision-making
New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform
Improving blind face restoration by utilizing edge semantic enhancement
EcoForecast: An interpretable data-driven approach for short-term macroeconomic forecasting using N-BEATS neural network
Knowledge-enhanced multi-objective memetic algorithm for energy-efficient flexible job shop scheduling with limited multi-load automated guided vehicles
A hybrid self-adaptive particle swarm optimization and modified shuffled frog leaping algorithm for distribution feeder reconfiguration
Magnetic resonance imaging-clonal selection algorithm: An intelligent adaptive enhancement of brain image with an improved immune algorithm
Asynchronous optimization approach for evidential reasoning rule-based classifier
Vehicle trajectory prediction model based on graph attention Kolmogorov-Arnold networks and multiple attention
A novel metaheuristic approach for the flow shop scheduling problem
Inverse parameter identifications and forward strip temperature simulations of the continuous annealing line with physics-informed neural network and operation big data
Fast scene analysis using vision and artificial intelligence for object prehension by an assistive robot
A novel attention-based long short term memory and fully connected neutral network approach for production energy consumption prediction under complex working conditions
Advanced informatic technologies for intelligent construction: A review
A novel deep learning-based approach for video quality enhancement
A mixture density network approach to modelling and exploiting uncertainty in nonlinear control problems
Echo state networks for online, multi-step MPC relevant identification
Unsupervised feature selection based on adaptive similarity learning and subspace clustering
Combining 2D encoding and convolutional neural network to enhance land cover mapping from Satellite Image Time Series
A general Evolutionary Framework for different classes of Critical Node Problems
A partial prior knowledge framework to discover the cycling visual environment coupling street view images and shared bike trajectory using deep learning
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting
Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach
A framework of fermatean fuzzy cognitive map and its extension based on Hamacher operation
An improved differential evolution algorithm for the task assignment problem
Trustworthy distributed mirror learning for secure and private multi-agent coordination
An online path planning algorithm for autonomous marine geomorphological surveys based on AUV
Control-allocation-based hierarchical coordinated control for the transient mode transition of a compound power-split hybrid electric vehicle
A quantized subtraction-convolution network for industrial lightweight edge interpretable diagnosis
Co-Utility: Self-Enforcing protocols for the mutual benefit of participants
Dual-stream Representation Fusion Learning for accurate medical image segmentation
A comprehensive review on type 2 fuzzy logic applications: Past, present and future
DFNet: Discriminative feature extraction and integration network for salient object detection
Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning
A hybrid ETS-ANN model for time series forecasting
Health diagnostics using multi-attribute classification fusion
Ontologies for supporting negotiation in e-commerce
Physics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns
Fast mining local high-utility itemsets
Modified YOLO network model for metaphase cell detection in antinuclear antibody images
A comprehensive survey of weapon target assignment problem: Model, algorithm, and application
A pattern based PSO approach for block matching in motion estimation
An explainable machine learning method for predicting and designing crashworthiness of multi-cell tubes under oblique load
A hybrid machine learning approach for predicting fiber-reinforced polymer-concrete interface bond strength
A high-confidence instance boundary regression approach and its application in coal-gangue separation
Z-numbers based novel method for assessing groundwater specific vulnerability
Deep learning with nonlocal and local structure preserving stacked autoencoder for soft sensor in industrial processes
Deep learning model based on Bayesian optimization for predicting the infinite dilution activity coefficients of ionic liquid-solute systems
Service price forecasting of urban charging infrastructure by using deep stacked CNN-BiGRU network
Spatio-spectral feature classification combining 3D-convolutional neural networks with long short-term memory for motor movement/imagery
DIMN: Dual Integrated Matching Network for multi-choice reading comprehension
Towards cross-lingual voice cloning in higher education
A time-series based deep survival analysis model for failure prediction in urban infrastructure systems
Enhancing remote sensing object detection via selective-perspective-class integration
A cluster-based wavelet feature extraction method and its application
Optimal network design and storage management in petroleum distribution network under uncertainty
Subtask-masked curriculum learning for reinforcement learning with application to UAV maneuver decision-making
An automated voice command classification model based on an attention-deep convolutional neural network for industrial automation system
Hybrid ensemble paradigms for estimating tunnel boring machine penetration rate for the 10-km long Bahce-Nurdagi twin tunnels
Temporal dilated convolution and nonlinear autoregressive network for predicting solid oxide fuel cell performance
Metric assessment of autonomous capabilities in unmanned maritime vehicles
A comb concatenation diffusion model for hyperspectral image super-resolution
An intelligent healthcare framework for breast cancer diagnosis based on the information fusion of novel deep learning architectures and improved optimization algorithm
A new Exponentially Expanded Robust Random Vector Functional Link Network based MPPT model for Local Energy Management of PV-Battery Energy Storage Integrated Microgrid
Graph attention-based U-net conditional generative adversarial networks for the identification of synchronous generation unit parameters
Development of residual learning in deep neural networks for computer vision: A survey
Adversarial and self-adaptive domain decomposition physics-informed neural networks for high-order differential equations with discontinuities
Performance evaluation of artificial intelligence algorithms for virtual network embedding
Optimization of the model predictive control meta-parameters through reinforcement learning
A novel complex evidential distance with its application in pattern recognition
NPoSC-A3: A novel part of speech clues-aware adaptive attention mechanism for image captioning
Practical reasoning with norms for autonomous software agents
Data-driven failure prediction and RUL estimation of mechanical components using accumulative artificial neural networks
Fuzzy Local Information C -Means based clustering and Fractional Dwarf Mongoose optimization enabled deep learning for relevant document retrieval