yusuke1997/dblp-id-title huggingface dataset:
Dual self-report foot specific outcome measurements of patients with Hallux Valgus Based on plantar pressures
NG-DPSM: A neural green-distributed point source method for modelling ultrasonic field emission near fluid-solid interface using physics informed neural network
Automatic sunspot detection through semantic and instance segmentation approaches
A continuous learning algorithm for history matching
AdaBoost-driven multi-parameter real-time warning of rock burst risk in coal mines
Label correlations-based multi-label feature selection with label enhancement
Predictor-based state-constrained bipartite formation control for nonlinear multi-agent systems with disturbances
Joint feature extraction and alignment in object tracking with vision-language model
A systematic review on advancement and challenges in multi-fault diagnosis of rotating machines
A damping grey multivariable model and its application in online public opinion prediction
A novel adaptive gating neurons model with physical features weighted for bearing fault diagnosis under strong noise
Developing a surface mount technology defect detection system for mounted devices on printed circuit boards using a MobileNetV2 with Feature Pyramid Network
Resiliency of forecasting methods in different application areas of smart grids: A review and future prospects
Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon
Design of fractional-order PI lambda D µ controllers with an improved differential evolution
A hybrid error correction approach for prediction of credit approval: An explainable artificial intelligence approach
A framework for developing associative classifiers based on ICA
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications
Coordinating product, process, and supply chain decisions: A constraint satisfaction approach
Advances and challenges in Artificial Intelligence-driven flood and drought risk management: A comprehensive review
Pushing Artificial Intelligence to the Edge: Emerging trends, issues and challenges
ETMA-Net: Edge-and-threshold-guided multistage attention network for skin lesion image segmentation
Deep one-class classification model assisted by radius constraint for anomaly detection of industrial control systems
Automatic selection of inducing points in sparse Gaussian process for approximations of finite element analyses
A decision modeling approach for the development of sustainable transportation oil companies
Adaptive search space decomposition method for pre- and post-buckling analyses of space truss structures
A novel multi-objective artificial bee colony algorithm for solving the two-echelon load-dependent location-routing problem with pick-up and delivery
Generative models for anomaly detection and design-space dimensionality reduction in shape optimization
Partial identities as a foundation for trust and reputation
Context-aware inverse reinforcement learning for modeling individuals' daily activity schedules
Bidirectional temporal-delay graph convolutional network for detecting fake news
Length-aware center loss for sequence to sequence Thai scene text recognition
Forecasting power generation: A novel two-dimensional logistic fractional grey model
An empirical evaluation of preprocessing methods for machine learning based network intrusion detection systems
Adaptive fine-grained feature enhancement network for non-contact calf diarrhea detection
Pre-clustering active learning method for automatic classification of building structures in urban areas
A group-based traffic signal control with adaptive learning ability
Using radio frequency identification in agent-based control systems for industrial applications
Forecasting the eddy current loss of a large turbo generator using hybrid ensemble Gaussian process regression
A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets
Milling wear prediction using an artificial neural network model
Dynamic Interactive Graph Convolutional Recurrent Network for bidirectional spatiotemporal traffic flow forecasting
Nonlinear observer-based recurrent wavelet neuro-controller in disturbance rejection control of flexible structures
Gradient surgery: A necessity for robust test-time adaptation for detecting casting defects
OntoCAPE - A large-scale ontology for chemical process engineering
An offer-generating strategy for multiple negotiations with mixed types of issues and issue interdependency
Dynamic scheduling of maintenance tasks in the petroleum industry: A reinforcement approach
Universal transformer Hawkes process with adaptive recursive iteration
Evaluating autonomous urban freight solutions for smart and sustainable cities: A single valued neutrosophic multiple triangles scenarios model
An adaptive position-guided gravitational search algorithm for function optimization and image threshold segmentation
An interval-valued intuitionistic fuzzy DEMATEL method combined with Choquet integral for sustainable solid waste management
An execution time planner for the ARTIS agent architecture
Iterative learning control based tools to learn from human error
Block-based multi-view classification via view-based L2, p sparse representation and adaptive view fusion
Traffic event detection as a slot filling problem
Nested SVDD in DAG SVM for induction motor condition monitoring
A dynamic clustering ensemble learning approach for crude oil price forecasting
Presentation a Trust Walker for rating prediction in recommender system with Biased Random Walk: Effects of H-index centrality, similarity in items and friends
Deep neural annealing model for the semantic representation of documents
Unsupervised heat balance indicator construction based on variational autoencoder and its application to aluminum electrolysis process monitoring
Integrating case learning and consensus reaching in multi-criteria group sorting under hybrid assessment information
Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks
An effective multi-agent-based graph reinforcement learning method for solving flexible job shop scheduling problem
Evolution prediction of flame structure in a hydrogen-fueled scramjet combustor based on lightweight deformable convolutional residual neural network
A hierarchical neuro-fuzzy system to near optimal-time trajectory planning of redundant manipulators
A personalized ranking method based on inverse reinforcement learning in search engines
Comparative studies and performance analysis on neural-dynamics-driven control of redundant robot manipulators with unknown models
Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting
Rethinking the message passing for graph-level classification tasks in a category-based view
A novel hybrid clustering and classification framework for multi-level depression detection in social media texts
The Information Flow Problem in multi-agent systems
Double stage network inference system using k means clustering and fuzzy cognitive maps for cardiovascular disease diagnosis
Instance-specific algorithm configuration via unsupervised deep graph clustering
DMFF-Net: Double-stream multilevel feature fusion network for image forgery localization
Intelligent mining of safety hazard information from construction documents using semantic similarity and information entropy
Multivariate analysis of human behavior data using fuzzy windowing: Example with driver-car-environment system
An enhanced encoder-decoder network for temporomandibular joint segmentation in magnetic resonance images
Hidden Markov model-based classification of heart valve disease with PCA for dimension reduction
Exploration of Convolutional Neural Network models for source code classification
Calibration-free, machine learning based wavelength modulation spectroscopy sensor for fast gas concentration measurements
Fuzzy reliability analysis with only censored data
Special issue data mining and machine learning
A highly deterministic defect detection method for high-resolution weld based on deep learning and entropy quantization theory
Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment
The interval grey QFD method for new product development: Integrate with LDA topic model to analyze online reviews
Domain-adaptive person re-identification without cross-camera paired samples
Prognostic normative reasoning
MachNet, a general Deep Learning architecture for Predictive Maintenance within the industry 4.0 paradigm
A review of retinal vessel segmentation for fundus image analysis
Date fruits classification using texture descriptors and shape-size features
A sample average approximation-based approach for the last mile delivery and pickup problem with load-dependent travel time under uncertainties
A federated learning framework for arbitrary spatio-temporal graph neural networks
Semantic segmentation model based on edge information for rock structural surface traces detection
Complex-valued hyperchaos-assisted vector-valued artificial neural key coordination for improving security in the Industrial Internet of Things
Evolutionary method based integrated guidance strategy for reentry vehicles
FishMotionNet: Integrating hydrological factors and fishing motion patterns for enhanced vessel trajectory prediction
On the spatial prediction of the turbulent flow behind an array of cylinders via echo state networks
An AI-enabled secure framework for enhanced elder healthcare
Cross-modal correlation-guided hierarchical multiscale network for cloud removal of optical remote sensing imagery
Development of optimized machine learning models for predicting flat plate solar collectors thermal efficiency associated with Al2O3-water nanofluids
WITHDRAWN: A novel hybrid based on nature-inspired and Stochastic Fractal Search algorithms for optimizing of artificial neural network model in landslide susceptibility
Multi-modal and multi-product hierarchical hub location problem with fuzzy demands
Convolutional point transformer for semantic segmentation of sewer sonar point clouds
Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture
Performance evaluation of lightweight network-based bot detection using mouse movements
Dynamic feature weighting for data streams with distribution-based log-likelihood divergence
Predictive modeling of human operators using parametric and neuro-fuzzy models by means of computer-based identification experiment
Lightweight binary convolutional-transformers fusion network for facial expression recognition
Machine learning-driven high-fidelity ensemble surrogate modeling of Francis turbine unit based on data-model interactive simulation
Data-driven order reduction in Hammerstein-Wiener models of plasma dynamics
Design of robust fuzzy-logic control systems by multi-objective evolutionary methods with hardware in the loop
Agent-based modeling of high-rise building fires reveals self-rescue behaviors and better fire protection designs
Integrating multiple syntactic structures for enhanced aspect-based sentiment analysis
Fuzzy frequency response: Proposal and application for uncertain dynamic systems
A machine learning-based approach for estimation of deflection and contact area characteristics of tubeless and tube-type agricultural tyres
Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988-2018)
Underwater image restoration via backscatter pixel prior and color compensation
Structure-based curriculum learning ultrasound gallbladder image classification network
Digital twin of an industrial workstation: A novel method of an auto-labeled data generator using virtual reality for human action recognition in the context of human-robot collaboration
An intelligent Q-learning-based tree routing method in underwater acoustic sensor networks
Municipal solid waste gasification predictions using hybrid-data physics-informed neural networks
FCT-Net: A dual-encoding-path network fusing atrous spatial pyramid pooling and transformer for pavement crack detection
Detection of local and clustered outliers based on the density-distance decision graph
A robust evaluating strategy of tunnel deterioration using ensemble machine learning algorithms
A hybrid evolution strategies-simulated annealing algorithm for job shop scheduling problems
A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models
Cognitive spectrum management in dynamic cellular environments: A case-based Q-learning approach
Unsupervised Signal Anomaly Transformer method: Achieving bearing life anomaly detection without the need for failure samples
A morphological information-guided detection network for various morphological objects in remote sensing imagery
A novel image segmentation method based on fast density clustering algorithm
Pixel-Level Semantics Boosted Fine-Grained Bird Image Classification
Physics-informed deep neural network for modeling the chloride diffusion in concrete
Multi-scale split dual calibration network with periodic information for interpretable fault diagnosis of rotating machinery
Variational adversarial negative sampling for multimodal knowledge graph completion
A novel genetic programming approach to nonlinear system modelling: application to the DAMADICS benchmark problem
A novel radial basis function neural network classifier based on three-way decisions
Machine learning-driven gerotor profile synthesis and optimization using Conditional Generative Adversarial Networks
Predicting Air Traffic Flow Management hotspots due to weather using Convolutional Neural Networks
Order reduced Gaussian process fused physical information for assessing long-term multiple properties using very little high-variance experimental data -a real-world concrete dam application
Intelligent evaluation system for new energy vehicles based on sentiment analysis: An MG-PL-3WD method
Blockchain data with Ransomware detection based on deep feed forward Maxout network
Fusing spatial-temporal information into deep learning via wind propagation theory to enhance wind power prediction
Flow decomposition based spatial-temporal filtering self-attention networks for traffic flow forecasting
Experimental validation of a type-2 fuzzy logic controller for energy management in hybrid electrical vehicles
CARMEL: Capturing spatio-temporal correlations via time-series sub-window imaging for home appliance classification
Voice feature description of Parkinson's disease based on co-occurrence direction attribute topology
A survey on semi-supervised graph clustering
An Efficient Large Kernel Convolution Network Designed for Neural Processing Unit
A reduced order model based on machine learning for numerical analysis: An application to geomechanics
Hypoglycaemia prediction using information fusion and classifiers consensus
Nonlinear control of a boost converter using a robust regression based reinforcement learning algorithm
Optimizing aircraft engine longevity: A comparative framework for dynamically adaptive predictive maintenance using autoencoders, LSTMs, and Gaussian processes
Evaluation of the performance of clustering algorithms for a high voltage industrial consumer
Markerless Gait Analysis for Parkinson's disease diagnosis: A study on machine learning integration and features explainability
Solving floating pollution with deep learning: A novel SSD for floating objects based on continual unsupervised domain adaptation
Modified lightning search algorithm for optimization
Research on an unsupervised person re-identification based on image quality enhancement method
Regularized joint self-training: A cross-domain generalization method for image classification
A probabilistic reliable linguistic PROBID method for selecting electronic mental health platforms considering users' bounded rationality
Integrating cumulative binomial probability into artificial bee colony algorithm for global optimization in mechanical engineering design
Fault detection and fuzzy rule extraction in AC motors by a neuro-fuzzy ART-based system
Optimization of stochastic networks using simulated annealing for the storage and recalling of compressed images using SOM
Survival analysis of failures based on Hawkes process with Weibull base intensity
Combined framework based on data preprocessing and multi-objective optimizer for electricity load forecasting
Intelligent image compression based on neighborhood dynamic perception and multi-parameter optimized entropy model
Neural network-guided genetic algorithm for multi-objective optimization of fin-and-tube heat exchangers incorporating novel curved winglets
Formalizing the construction of populations in multi-agent simulations
Active learning for improving a soft subspace clustering algorithm
Real-time cooperative target tracking in cluttered environments using multiple drone swarms with adaptive fuzzy emotional learning
A survey of collaborative decision-making: Bibliometrics, preliminaries, methodologies, applications and future directions
Attention based network for fusion of polarimetric and contextual features for polarimetric synthetic aperture radar image classification
Robust fault detection of non-linear systems using set-membership state estimation based on constraint satisfaction
An enhanced segmentation network built upon the you only look once framework for precise weed recognition in early-stage cotton
Unsupervised domain adaptation for lithology classification using dynamic entropy-based prototype learning
Hierarchical attention aggregation with multi-resolution feature learning for GAN-based underwater image enhancement
Computationally efficient analysis of cable-stayed bridge for GA-based optimization
Automated eigenmode classification for airfoils in the presence of fixation uncertainties
Rock joint roughness determination method based on deep learning of time-frequency​ spectrogram
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
GHR-2D: Gaze and head redirection via disentanglement and diffusion for gaze estimation
A novel non-parametric method for time series classification based on k-Nearest Neighbors and Dynamic Time Warping Barycenter Averaging
Deep Learning based techniques for Neuro-degenerative disorders detection
Hyperspectral image denoising via group-sparsity constrained low-rank matrix triple factorization and spatial-spectral residual total variation
Fouling detection in a heat exchanger by observer of Takagi-Sugeno type for systems with unknown polynomial inputs
Prescribed-time convergence noise-tolerant zeroing neural network for multi-robot position management and coordination
A multidimensional probabilistic model based evolutionary algorithm for the energy-efficient distributed flexible job-shop scheduling problem
Cluster-based fine-to-coarse superpixel segmentation
TCGNN: Packet-grained network traffic classification via Graph Neural Networks
A curriculum-guided and explainable reinforcement learning framework for fixed-wing unmanned aerial vehicle autopilots
Topological persistence guided knowledge distillation for wearable sensor data
FDI based on pattern recognition using Kalman prediction: Application to an induction machine
Inverse design of nanophotonic devices using generative adversarial networks
Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance
Hierarchical semantics guided multi-scale correlation network for alignment-free red-green-blue and thermal salient object detection
Deep learning driven prediction of dynamic stress-strain response in limestone: insights into transient mechanical behavior under complex loadings for shield tunneling
Masked autoencoder with dynamic multi-loss adaptation mechanism for few shot wafer map pattern recognition
A population-based incremental learning approach with artificial immune system for network intrusion detection
Fuzzy finite element analysis of imprecisely defined structures with fuzzy nodal force
An improved you only look once algorithm for pronuclei and blastomeres localization
Probabilistic linguistic group bi-matrix game and applications
Characterizing the hydrodynamic and mechanical properties of hydraulic fractured shale plays using a Kolmogorov-Arnold-Network-assisted data assimilation approach
A novel time-depended evolutionary fuzzy SVM inference model for estimating construction project at completion
Constrained self-adaptive differential evolution based design of robust optimal fixed structure controller
Dynamic speed trajectory generation and tracking control for autonomous driving of intelligent high-speed trains combining with deep learning and backstepping control methods
Enhancing tropical cyclone intensity forecasting over the Bien Dong Sea with foundation model and prompt tuning
An improved flocking control algorithm to solve the effect of individual communication barriers on flocking cohesion in multi-agent systems
The dynamics of reinforcement social learning in networked cooperative multiagent systems
Multi-attribute strategic weight manipulation with minimum adjustment trust relationship in social network group decision making
Enhanced light detection and ranging simultaneous localization and mapping based on three-dimensional moving object tracking in dynamic scenes
Machine learning technique for optimization of solar unit equipped with a novel design tube filled with nanofluid
An advanced detector and dual-shortest distance intersection algorithm for navigation path extraction in complex orchards
Energy efficiency and delay determinacy tradeoff in energy harvesting-powered zero-touch deterministic industrial M2M communications
Hybrid solution algorithms for task scheduling problem with moving executors
Transformer-based fall detection in videos
Material handling machine activity recognition by context ensemble with gated recurrent units
Rotation adaptive grasping estimation network oriented to unknown objects based on novel RGB-D fusion strategy
An interpretable privacy-preserving real-time carbon emission estimation approach for heterogeneous industrial enterprises
Motion detection with pyramid structure of background model for intelligent surveillance systems
Robust robot control enhanced by a hierarchical adaptive fuzzy algorithm
A new grey model for traffic flow mechanics
Optimizing optic cup and optic disc delineation: Introducing the efficient feature preservation segmentation network
The application of iterative interval arithmetic in path-wise test data generation
Time-staged photoelastic image prediction using multi-stage convolutional autoencoders
Leveraging Contrastive Language-Image Pre-Training and Bidirectional Cross-attention for Multimodal Keyword Spotting
Enhancing non-orthogonal multiple access systems: A reconfigurable Machine Learning classification approach
Local interpretation of deep learning models for Aspect-Based Sentiment Analysis
Feature-refined box particle filtering for autonomous vehicle localisation with OpenStreetMap
Distributed gas concentration prediction with intelligent edge devices in coal mine
Automation of load balancing for Gantt planning using reinforcement learning
Crowd analysis using Bayesian Risk Kernel Density Estimation
A generalized matrix profile framework with support for contextual series analysis
Invariance embedded physics-infused deep neural network-based sub-grid scale models for turbulent flows
A novel dual neural network-based method for weed detection in cabbage fields
Wind turbine blade surface defect detection model based on improved you only look once version 10 small and integrated compression
Application of the novel four-parameter discrete optimized grey model to forecast the wastewater discharged in Chongqing China
Dynamic security reconfiguration for the semantic web
Deep learning-driven False Data Injection attack in renewable integrated smart grids
SpaceLDA: Topic distributions aggregation from a heterogeneous corpus for space systems
Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning
Adversarial robustness and attacks for multi-view deep models