yusuke1997/dblp-id-title huggingface dataset:
Expert consensus-driven spatial-temporal graph neural network for enhanced diagnosis of chronic fetal distress
A survey on learning with noisy labels in Natural Language Processing: How to train models with label noise
Grey-box and ANN-based building models for multistep-ahead prediction of indoor temperature to implement model predictive control
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures
Deep learning algorithm for real-time automatic crack detection, segmentation, qualification
Optimisation criteria in development of fuzzy controllers with dynamics
Applied an in-motion transfer alignment approach during global positioning system outages utilizing a recurrent neural network algorithm
Model-agnostic explainable artificial intelligence for object detection in image data
Automatic requirements elicitation from user-generated content: A review of data, methods, and representations
A review on aggregate production planning under uncertainty: Insights from a fuzzy programming perspective
Accurate identification and confidence evaluation of automatic generation control command execution effect based on deep learning fusion model
Optimizing group-oriented multiple attribute decision-making method based on dominance-based rough set model with advantaged (disadvantaged) neighborhoods
Deep learning in standard least-squares theory of linear models: Perspective, development and vision
Parkinson's disease detection based on artificial intelligence: Methodologies, datasets, clinical applications, challenges and future directions
Peak shaving in district heating exploiting reinforcement learning and agent-based modelling
A novel hybrid undersampling method for mining unbalanced datasets in banking and insurance
Evaluation of climate change-resilient transportation alternatives using fuzzy Hamacher aggregation operators based group decision-making model
Estimation of time-dependent Darcy-forchheimer flow through artificial intelligence-based technique for chemically reactive trihybrid nanofluid configured by rotating sphere invoked bioconvection analysis
Aggregation operators of quadripartitioned single-valued neutrosophic Z-numbers with applications to diverse COVID-19 scenarios
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms
Self-adaptive physics-driven deep learning for seismic wave modeling in complex topography
A fusion scheme for eliminating input interference induced by spelling errors
Multi-agent model predictive control based on resource allocation coordination for a class of hybrid systems with limited information sharing
Preventing design conflicts in distributed design systems composed of heterogeneous agents
CB-SAGE: A novel centrality based graph neural network for floor plan classification
Artificial intelligence techniques empowered edge-cloud architecture for brain CT image analysis
Seismic damage assessment of reinforced concrete frame structures based on transfer-residual networks
What artificial intelligence can do for high-performance computing systems?
Deep learning approach for short-term entry passenger flow forecasting in urban rail transit stations
Feedback linearizing control using hybrid neural networks identified by sensitivity approach
Dual-domain attentions for unmanned aerial vehicle small object detection
A hybrid model based on discrete wavelet transform (DWT) and bidirectional recurrent neural networks for wind speed prediction
Early fault detection with health stage division:an adversarial learning method with model update mechanism for condition monitoring
Reinforcement learning control with n-step information for wastewater treatment systems
Research on enhancing model performance by merging with Korean language models
Performance analysis of Chaotic Multi-Verse Harris Hawks Optimization: A case study on solving engineering problems
The way to smart civil aviation: An integrated decision making approach for smart civil aviation assessment in China
Multi-mode filter target tracking method for mobile robot using multi-agent reinforcement learning
Combining eye-tracking technologies with web usage mining for identifying Website Keyobjects
A multi-criteria framework for electric vehicle charging location selection using double hierarchy preferences and unknown weights
Occlusion-based estimation of independent multinomial random variables using occurrence and sequential information
Domain knowledge based explainable feature construction method and its application in ironmaking process
Neuro-heuristic and regression-based modeling of three-dimensional Williamson-micropolar nanofluid flow with regularization and uncertainty quantification
Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence
A diffusion model using semantic and sketch information for anomaly detection
Post-earthquake residual track irregularities prediction using wavelet-packet-transformation-powered domain adaptive neural network
Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates
Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets
Mining the fuzzy control rules of aeration in a Submerged Biofilm Wastewater Treatment Process
Aczel-Alsina operations-based linguistic q-rung orthopair fuzzy aggregation operators and their application to site selection of electric vehicle charging station
Visual tracking with pyramidal feature fusion and transformer based model predictor
A sparse representation based approach for recognition of power system transients
A graph-based pivotal semantic mining framework for rumor detection
Mutual transfer learning for cuff-less blood pressure estimation using photoplethysmography-based visibility graphs
A composite insulator aging level classification method based on fourier transform infrared spectroscopy and deep learning model
Solving multi-objective model of assembly line balancing considering preventive maintenance scenarios using heuristic and grey wolf optimizer algorithm
Lightweight and high-performance object detector and tracking model for concrete surface defect detection
Leveraging multi-strategy labels for long-tailed classification
Visual analysis of a cold rolling process using a dimensionality reduction approach
Attention-based multi-head feature-fusion network: A generalised method for hot deformation behaviour prediction in low-alloy steels
A denoising autoencoder based on U-Net and bidirectional long short-term memory for multi-level random telegraph signal analysis
A novel fuzzy multi-criteria decision-making for enhancing the management of medical waste generated during the coronavirus pandemic
Chemically-Guided extreme gradient boosting models for predicting the elastic modulus of alkali-activated Concrete: Insights into base learner variants
Multi-stage generative adversarial networks for generating pavement crack images
Artificial immune algorithm for IIR filter design
Dynamic anomaly detection in blast furnace operations using a Transformer-Enhanced Isolation Forest framework
EDHMoR: Evolutionary designer of heterogeneous modular robots
Early warning for fault-slip risk based on genetic algorithm-back propagation neural network: An intelligent mathematical evaluation model study
An agent-oriented approach to process partition and planning in migrating workflow systems
Illustration of low oscillating magnetic field on sodium alginate-based hybrid nanofluid flow between two revolving disks: An artificial neural network-based study
Prediction of frequency spectrum of wall pressure fluctuations beneath turbulent boundary layers based on deep learning
State-space modeling for control based on physics-informed neural networks
Scenario-based improved bayesian network model for construction safety assessment
Inter-graph and Intra-graph: Utilizing global financial markets and constituent stocks for stock index prediction
Haze removal using deep convolutional neural network for Korea Multi-Purpose Satellite-3A (KOMPSAT-3A) multispectral remote sensing imagery
Engineering open environments with electronic institutions
Stable auto-tuning of hybrid adaptive fuzzy/neural controllers for nonlinear systems
Heterogeneous graph contrastive learning-based transductive health condition assessment of Francis turbine unit
Inception 1D-convolutional neural network for accurate prediction of electrical insulator leakage current from environmental data during its normal operation using long-term recording
RTLSeg: A novel multi-component inspection network for railway track line based on instance segmentation
An end-to-end harmful object identification method for sizer crusher based on time series classification and deep learning
Towards robust ferrous scrap material classification with deep learning and conformal prediction
An optimized plane detection-based topological metric for LiDAR simultaneous localization and mapping evaluation
Neural networks deterioration models for serviceability condition of buried stormwater pipes
Zero-shot image translation via query compensation and style enhancement
Decentralized optimal neuro-controllers for generation and transmission devices in an electric power network
Joint embedding for multi-structural hypergraph based dimensionality reduction in rotor fault diagnosis
Multi-objective node deployment in WSNs: In search of an optimal trade-off among coverage, lifetime, energy consumption, and connectivity
A digital twin-assisted algorithm for diagnosis of permanent magnet synchronous generator interturn short circuit fault and converter open circuit fault in wind power systems using Pearson correlation coefficient
MAAR: Robust features to detect malicious activity based on API calls, their arguments and return values
Prototypical networks with unlabeled data for few-shot node classification
Forecasting of global solar radiation: A statistical approach using simulated annealing algorithm
Perturbation-augmented Graph Convolutional Networks: A Graph Contrastive Learning architecture for effective node classification tasks
AlloyManufacturingNet for discovery and design of hardness-elongation synergy in multi-principal element alloys
Grey prediction of carbon emission and carbon peak in several developing countries
A swarm intelligence framework in complex environments: Optimizing area coverage guidance and control
Cloud-assisted collaborative estimation for next-generation automobile sensing
An artificial intelligence-driven analysis of blood-based ternary nanofluid flow: A novel framework for enhanced hemorheological applications
Optimal short-term hydro-thermal scheduling using quasi-oppositional teaching learning based optimization
Multi-objective virtual calibration method for parameters in two control strategies of a complex hybrid electric vehicle
Improved Deep CNN-based Two Stream Super Resolution and Hybrid Deep Model-based Facial Emotion Recognition
Representing-behavior-based online driving style recognition and its road verification
Time-frequency informed stacked long short-term memory-based generative adversarial network for missing data imputation in sensor networks
Unsupervised rapid lowlight enhancement via deep curve and statistic loss
Long-tailed detection and classification of wafer defects from scanning electron microscope images robust to diverse image backgrounds and defect scales
Fuzzy adaptive automatic train operation control with protection constraints: A residual nonlinearity approximation-based approach
Pose estimation in robotic electric vehicle plug-in charging tasks using auto-annotation and deep learning-based keypoint detector
Transformer-based deep probabilistic network for load forecasting
Less is more: A semi-supervised fine-grained object detection for satellite video
TinyDepth: Lightweight self-supervised monocular depth estimation based on transformer
Predicting customer satisfaction based on online reviews and hybrid ensemble genetic programming algorithms
Machine learning for multi-view eye-pair detection
DLIRIR : Deep learning based improved Reverse Image Retrieval
MTFR: An universal multimodal fusion method through Modality Transfer and Fusion Refinement
Neural network adaptive force control for pneumatic polishing end-actuator with external disturbances and full-state constrains
Artificial intelligence assisted non-destructive testing of welding joints: A review of techniques, X-ray image processing and applications
A feature-enhanced long short-term memory network combined with residual-driven ν support vector regression for financial market prediction
MAViT: A lightweight hybrid model with mutual attention mechanism for driver behavior recognition
Reinforcement learning-dijkstra-genetic algorithm for debris removal problem under different scenarios: An earthquake case study
Performance improvement of deep neural network classifiers by a simple training strategy
Weight optimisation for iterative distributed model predictive control applied to power networks
Fuzzy clustering of time series data using dynamic time warping distance
Roadside vegetation segmentation with Adaptive Texton Clustering Model
Big Bird-disentangled representation and adaptive contrast transformer for abstractive text summarization with contrast attention
Weakly supervised semantic segmentation via Graph RecalibratiOn with Scaling Weight uNit
Agent deception via polynomial path planning
Coupled fault diagnosis for centrifugal pumps through Boruta-Shap feature selection and rime-enhanced stacked denoised autoencoder
Hybrid and multiple ensemble metamodel-based evaluation for operating tunnel performance in three-dimensional spatially variable soils
Hyperspectral band selection via region-wise latent feature fusion and graph filter embedded subspace clustering
Double reverse diffusion for realistic garment reconstruction from images
An enhanced algorithm for object detection based on generative adversarial structure
Enhanced transfer learning with data augmentation
Objective transformation-based and niche-based many-objective evolutionary algorithm with a two-step coordination mechanism
Physics-informed neural networks for three-dimensional cerebrovascular hemodynamic prediction: A point cloud preprocessing strategy based on limited data
Application of natural language processing in residential building defects analysis: Australian stakeholders' perceptions, causes and types
A new risk quantification method in project-driven supply chain by MABACODAS method under interval type-2 fuzzy environment with a case study
A genetic-fuzzy-neuro model encodes FNNs using SWRM and BRM
Multi-modal recognition of worker activity for human-centered intelligent manufacturing
Automation of hemocompatibility analysis using image segmentation and supervised classification
Contrast gas detection: Improving infrared gas semantic segmentation with static background
Feature fusion-based computer vision system for fall and head injury detection trained on a new humanlike doll-based dataset
A hybrid time series forecasting method based on neutrosophic logic with applications in financial issues
State-of-the-art AI-enabled mobile device for real-time water stress detection of field crops
Stochastic reliability optimization of a controlled memristor-based Van der Pol circuit using a new intelligent algorithm
A solar radiation intelligent forecasting framework based on feature selection and multivariable fuzzy time series
A novel weight-optimized machine-learning hybrid model for daily river runoff prediction
Weighted multi-error information entropy based you only look once network for underwater object detection
A cooperative population-based iterated greedy algorithm for distributed permutation flowshop group scheduling problem
Improving weakly-supervised object localization using adversarial erasing and pseudo label
Sustainable benchmarking of e-scooter micromobility systems: A hybrid q-rung orthopair fuzzy score function and distance measure-based ranking approach
Tiny machine learning empowers climbing inspection robots for real-time multiobject bolt-defect detection
Semantic similarity for mobile application recommendation under scarce user data
Microservices performance forecast using dynamic Multiple Predictor Systems
Modeling of chemical mechanical polishing process using FEM and abductive network
Development and improvement of a method for determining the worst-case typhoon path for storm surge deviation through Bayesian optimization
An outranking method for optimizing anti-aircraft missile system with 2-tuple linguistic m-polar fuzzy data
Prediction of production indicators of fractured-vuggy reservoirs based on improved Graph Attention Network
Immune optimization algorithm for solving joint call admission control problem in next-generation wireless network
A computation offloading algorithm based on multi-objective evolutionary optimization in mobile edge computing
Guided deep reinforcement learning framework using automated curriculum scheme for accurate motion planning
A Differential Privacy protection-based federated deep learning framework to fog-embedded architectures
The PRISMA Hand I: A novel underactuated design and EMG/voice-based multimodal control
Multimodal fusion in speech emotion recognition: A comprehensive review of methods and technologies
High-quality three-dimensional cartoon avatar reconstruction with Gaussian splatting
Extended belief rule base with ensemble imbalanced learning for lymph node metastasis diagnosis in endometrial carcinoma
A cluster multivariate statistical method for environmental quality management
Unsupervised feature selection via graph matrix learning and the low-dimensional space learning for classification
A bi-level encoding scheme for the clustered shortest-path tree problem in multifactorial optimization
An Artificial Intelligence maturity assessment framework based on international standards
K-nearest neighbor driving active contours to delineate biological tumor volumes
Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis
FedTrustAug: Federated sparse trust augmentation for service recommendation
A threat assessment method based on correlation-similarity information and three-way decisions in interval intuitionistic fuzzy environment
Fuzzy-based Text Augmentation to boost the Statistical Machine Translation for Indic Languages
Novel intrusion detection system based on a downsized kernel method for cybersecurity in smart agriculture
Modeling the correlations of crude oil properties based on sensitivity based linear learning method
Deep transferable model with multi-head attention for small sample fault diagnosis of hydraulic pumps
An effective clustering method based on data indeterminacy in neutrosophic set domain
Generative adversarial networks based synthetic biology: A promising approach to sars-cov-2 mutations prediction
Scalable and transferable graph neural networks for predicting temperature evolution in laser powder bed fusion
Flight deck crew reserve: From data to forecasting
Distributed long-time series prediction based on multiple feature decomposition and federated meta-learning under data heterogeneity
A weighted Gaussian process regression model based on improved local outlier factor and its application in state of health estimation of lithium-ion battery
Automatic borehole fracture detection and characterization with tailored Faster R-CNN and simplified Hough transform
Hessian scatter regularized twin support vector machine for semi-supervised classification
A novel hybrid data-driven domain generalization approach with dual-perspective feature fusion for intelligent fault diagnosis
Dynamic boundary guided adversarial robust distillation to improve robustness
Hybrid network via key feature fusion for image restoration
An integrated exergy efficiency and machine learning method for optimizing organic solid waste gasification process
Region-based weighting-and-enhancement network with adaptive class weighting loss for postoperative inguinal hernia prediction
Time-lagged relation graph neural network for multivariate time series forecasting
Group decision making under generalized fuzzy soft sets and limited cognition of decision makers
Joint Cauchy dictionary learning and graph learning for unsupervised feature selection
Self-supervised monocular depth estimation in dynamic scenes with moving instance loss
Risk assessment for complex product delivery: Group decision-making incorporating personalized cognition and dual belief superposition
Nonlinear model predictive control algorithm with iterative nonlinear prediction and linearization for long short-term memory network models
Accurate multi-step wind and solar power forecasting based on multi-scale convolutional Kolmogorov-Arnold network and improved Lemming-optimized attention fusion
Change detection in images using shape-aware siamese convolutional network
Frequency-domain multi-scale Kolmogorov-Arnold representation attention network for mixed-type wafer defect recognition
A model and multi-core parallel co-evolution algorithm for identifying cancer driver pathways
Concept mining for indexing medical literature
An incremental unsupervised learning based trajectory controller for a 4 wheeled skid steer mobile robot
Risk upper bound for a NM-type multiresolution classification scheme of random signals by Daubechies wavelets
MNEMONIC: Multikernel contrastive domain adaptation for time-series classification
Application of ant colony optimization with wide-area search concept in path planning for complex large-scale environments
Towards an intelligent waste management system: An adaptive and sustainable medical waste supply chain for infectious and hazardous risk reduction
A zero-shot tree-structured multi-objective evolutionary Neural Architecture Search
Defect identification in centrifugal pumps based on vulnerable grams and end-to-end deep learning framework
Combination of dynamic bit vectors and transaction information for mining frequent closed sequences efficiently
Solving the Fm∣block∣C max problem using Bounded Dynamic Programming
Fault detection and isolation for PEM fuel cell stack with independent RBF model
Edge-aware and spectral-spatial information aggregation network for multispectral image semantic segmentation
An adaptive teacher-student learning algorithm with decomposed knowledge distillation for on-edge intelligence
From clustering to clustering ensemble selection: A review
Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter
Real-time joint recognition of weather and ground surface conditions by a multi-task deep network
Data driven-based thesis defense scheduling system: A theoretical framework and empirical development
Covid-19 epidemic and regional carbon emissions: A study based on metabolic multivariate grey model with new information priority
Bayesian retinex underwater image enhancement
SkeletonDETR: A novel multimodal fusion based object detection framework for chemical safety applications
Securing and classification of active directory domain banking data using the integration of blockchain and artificial intelligence
FISOF: A formal industrial symbiosis opportunity filtering method
A hybrid data-driven model for state of health estimation of Lithium-ion battery with capacity recovery
A hybrid approach based on dual hesitant q -rung orthopair fuzzy Frank power partitioned Heronian mean aggregation operators for estimating sustainable urban transport solutions
On the mathematical background of the paper "Fractal interpolation in the context of prediction accuracy optimization, Engineering Applications of Artificial Intelligence, 133 (2024), 108380"
Autonomic networks: engineering the self-healing property
View synthesis with multiplane images from computationally generated RGB-D light fields
Energy, cost and job-tardiness-minimized scheduling of energy-intensive and high-cost industrial production systems
Availability modelling of repairable systems using Bayesian networks