yusuke1997/dblp-id-title huggingface dataset:
Sharpness-aware multidomain imbalance generalization with external adversarial learning and intrinsic balanced entropy regularization for intelligent fault diagnosis
A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants
Hydrophobicity classification of composite insulators based on convolutional neural networks
Underwater acoustic signal recognition system with multi-scale hybrid cepstral feature strategy and joint deep network
Short-term district power load self-prediction based on improved XGBoost model
Possibilistic c-means clustering approach based on a novel weighted-kernel distance for imbalanced images with minority targets in sparsely distribution
Frequency stability prediction of renewable energy penetrated power systems using CoAtNet and SHAP values
Discontinuous and Pattern Matching algorithm to measure deformation having discontinuities
Feature selection using a sinusoidal sequence combined with mutual information
Point cloud semantic segmentation network based on graph convolution and attention mechanism
Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder
Inferring effort-safety trade off in perturbed squat-to-stand task by reward parameter estimation
Nonlinear dynamic modeling of turbojet engines using combined convolutional and long short-term memory networks
Evaluating the financial credibility of third-party logistic providers through a novel frank operators-driven group decision-making model with dual hesitant linguistic q-rung orthopair fuzzy information
An innovative deep anomaly detection of building energy consumption using energy time-series images
Deep reinforcement learning-based strategic bidding in electricity markets via variational autoencoder-assisted competitor behavior learning
Modeling and inference for troubleshooting with interventions applied to a heavy truck auxiliary braking system
Extensive review of microwave filter tuning techniques with a novel tuning Technique based on Dezert-Smarandache theory and machine learning
A method supporting fault-tolerant optical text recognition from video sequences recorded with handheld cameras
GA-ABC hybridization for profit maximization of green 4DTSPs with discrete and continuous variables
Fermatean fuzzy Z-analytic hierarchy process: An application to third party logistics providers
Prior-driven refinement network for small organ-at-risk segmentation in head and neck cancer
Artificial intelligence in service-oriented software design
Dynamic context modeling based lightweight high-resolution network for dense prediction
Bernstein-based oppositional-multiple learning and differential enhanced exponential distribution optimizer for real-world optimization problems
Using Recurrent Neural Networks to improve initial conditions for a solar wind forecasting model
Pretrained transformers for multimodal fake news detection: Explainability using SHapley Additive exPlanations for contributions from text, image, and image captions
A reinforcement learning approach for waterflooding optimization in petroleum reservoirs
Forward and inverse adversarial model applying to well-logging
Attention-based learning of self-media data for marketing intention detection
Experience-based service provider selection in agent-mediated E-Commerce
Leveraging quick response codes and vision transformer for distributed denial of service attack detection
Combining stationary wavelet transform and self-organizing maps for brain MR image segmentation
Affective analytics of demonstration sites
Cross-species animal pose estimation via feature map orthogonal decomposition decoder
Strawberry localization in a ridge planting with an autonomous rover
Deep gate information bottleneck-based prediction model for complex disease-related micro-ribonucleic acids via heterogeneous biological networks
Length of stay prediction for hospital management using domain adaptation
Spatial-Temporal relation inference Transformer combined with dynamic relationship and static causality for batch process modeling and the application of erythromycin fermentation
A computation-efficient network with feature aggregation for cancer subtype classification on histopathological images
A vehicle value based ride-hailing order matching and dispatching algorithm
Deep learning-based image analysis for in situ microscopic imaging of cell culture process
Multiple kernel graph clustering with shifted Laplacian reconstruction
Progressive Enhancement Dehazing for object detection in extreme weather
Multimodal prompt state space models for unified adverse weather removal
Improved and generalized learning strategies for dynamically fast and statistically robust evolutionary algorithms
Scaling-up medical vision-and-language representation learning with federated learning
Predicting aerodynamic instabilities in a blast furnace
Multiple attribute decision-making model for artificially intelligent last-mile delivery robots selection in neutrosophic square root environment
A novel hybrid liquid neural network with time dependent neuromorphic and transformer encoder based reservoir dynamics for respiratory sound classification
Symmetric non-negative matrix factorization-based deep representation algorithm for multi-view clustering
Iterative hybrid causal model based diagnosis: Application to automotive embedded functions
Spontaneous task composition in urban computing environments based on social, spatial, and temporal aspects
Adaptive time series classification using virtual adversarial domain adaptation techniques
A dual-branch multi-scale encoding and fusion model for multivariate time series forecasting
Applications of artificial intelligence in Orthopaedic surgery: A systematic review and meta-analysis
The importance of data noise reduction-wavelet transformation in stock price forecasting with Bidirectional Long Short-Term Memory network
Orthogonal support vector machine for credit scoring
Discovering similar Twitter accounts using semantics
Group decision-making strategy based on aggregation operators of linguistic confidence interval neutrosophic numbers in a linguistic neutrosophic multivalued scenario
Tutorial on time series prediction using 1D-CNN and BiLSTM: A case example of peak electricity demand and system marginal price prediction
Corrigendum to "Giving commands to a self-driving car: How to deal with uncertain situations?" [Eng. Appl. Artif. Intell. 103 (2021) 104257]
The determination of limit wheel profile for hunting instability of railway vehicles using stacking feature deep forest
Online learning for optimistic planning
Damage analysis and quantification of RC beams assisted by Damage-T Generative Adversarial Network
BFFN: A novel balanced feature fusion network for fair facial expression recognition
Semi-supervised soft sensor method for fermentation processes based on physical monotonicity and variational autoencoders
A metaheuristic-driven categorical boosting framework with interpretability for high-precision prediction of mechanical properties in corroded reinforced concrete beams
Correlation coefficient of linguistic variables and its applications to quantifying relations in imprecise management data
A novel integration of multiple learning methods for detecting misleading information from different datasets during the pandemic
RFA-Net: Residual feature attention network for fine-grained image inpainting
Fuzzy cellular automata and intuitionistic fuzzy sets applied to an optical frequency comb spectral shape
Solar radiation forecasting with deep learning techniques integrating geostationary satellite images
Outliers detection in environmental monitoring databases
Large language models for explainable fault diagnosis of machines
An meta-cognitive based logistics human resource modeling and optimal scheduling
Enhanced fault tolerant kinematic control of redundant robots with linear-variational-inequality based zeroing neural network
A multi-modal text-enhanced framework with face-guided query enhancement for cloth-changing person Re-identification
Remaining useful life estimation based on nonlinear feature reduction and support vector regression
Small samples noise prediction of train electric traction system fan based on a multiple regression-fuzzy neural network
A multi-objective adaptive memetic algorithm and engineering application for a double-floor layout problem with separate human and vehicle transport elevators
Generating method of Pythagorean fuzzy sets from the negation of probability
Semantically complex audio to video generation with audio source separation
A comprehensive survey on 3D face recognition methods
Locally informed gravitational search algorithm with hierarchical topological structure
Convolutional self-attention with adaptive channel-attention network for obstructive sleep apnea detection using limited training data
Robust design of multilayer feedforward neural networks: an experimental approach
Reliability analysis and Terahertz characterization of circuit board defect employing branchy neural network in edge-cloud fusion architecture
Obtaining the optimal shortest path between two points on a quasi-developable Bézier-type surface using the Geodesic-based Q-learning algorithm
Time series representation learning via cross-domain predictive and contextual contrasting: Application to fault detection
Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering
A data-driven approach to full-field stress reconstruction of ship hull structure using deep learning
Forced convective micropolar nanofluidic transportation with Cattaneo-Christov heat and mass flux model: Levenberg-Marquardt backpropagation neural network approach
Gate-guided spatial-channel reconstruction network: An efficient lightweight framework for steel surface defect detection
Spatial template-based geometric complexity reduction method for photo-realistic modeling of large-scale indoor spaces
Data-driven parameterization of fault detection algorithms in high voltage direct current systems using classification trees
MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities
Fractional ordering of activation functions for neural networks: A case study on Texas wind turbine
A federated distillation domain generalization framework for machinery fault diagnosis with data privacy
DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring
Classification Technique and its Combination with Clustering and Association Rule Mining in Educational Data Mining - A survey
Multi-slice Nested Recurrence Plot (MsNRP): A robust approach for person identification using daily ECG or PPG signals
Review on prognostics and health management in smart factory: From conventional to deep learning perspectives
Noise correction to improve data and model quality for crowdsourcing
Experimental and artificial intelligence approaches to measuring the wear behavior of DIN St28 steel boronized by the box boronizing method using a mechanically alloyed powder source
Prediction of parameters characterizing the state of a pollution removal biologic process
A comparison of machine-learning algorithms for dynamic scheduling of flexible manufacturing systems
Primal dual algorithm for solving the nonsmooth Twin SVM
Two efficient nature inspired meta-heuristics solving blocking hybrid flow shop manufacturing problem
Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system
Sustainable negotiation-based nesting and scheduling in additive manufacturing systems: A case study and multi-objective meta-heuristic algorithms
Efficiency evaluation of electricity distribution companies: Integrating data envelopment analysis and machine learning for a holistic analysis
Reliable deep learning framework for the ground penetrating radar data to locate the horizontal variation in levee soil compaction
Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
Threshold-guided multi-objective Generative Adversarial Networks for constructing artificial yet representative driving cycles
Robust structure low-rank representation in latent space
A novel intuitionistic fuzzy time series method based on bootstrapped combined pi-sigma artificial neural network
Green smart home design based on quality function deployment integrating customer requirements and life-cycle sustainability in Z-numbers environment
Accidents analysis of mining industry through semantic text representation and dimensionality reduction: An integrated clustering framework
Towards smart city supervision: A detection pipeline for illegal buildings
A novel decomposition-prediction hybrid model improved by dual-channel cross-attention mechanism for short-term wind speed prediction
Multi-variety and small-batch production quality forecasting by novel data-driven grey Weibull model
TriTSA: Triple Tree-Seed Algorithm for dimensional continuous optimization and constrained engineering problems
Single-cell distillation discriminative clustering based on asymmetric autoencoder
Retraction notice to "Optimal infrastructure in microgrids with diverse uncertainties based on demand response, renewable energy sources and two-stage parallel optimization algorithm" [Eng. Appl. Artif. Intell. 123 (2023) 106233]
A frequency and topology interaction network for hyperspectral image classification
Recursively learning fine-grained spatial-temporal features for video-based person Re-identification
Multimodal and multiscale learning network for efficient polyp segmentation
Remote detection of forest fires from video signals with classifiers based on K-SVD learned dictionaries
Data and knowledge-driven dual surrogate-assisted multi-objective rough fuzzy clustering algorithm for image segmentation
A fabric defect detection model based on deformable large kernel convolution and feature attention
Reinforcement learning adaptive network for nonaffine discrete-time control systems: Managing implicit zero-gain
Ensemble modeling of nanoscale thermal drift in high-precision linear axes for photonic integrated circuit testing
Cancer-drug response prediction via feature aggregation and association graph learning
Enhancing the scalability of fuzzy rough set approximate reduct computation through fuzzy min-max neural network and crisp discernibility relation formulation
A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions
Label consistency-based deep semisupervised NMF for tumor recognition
Global wavelet-integrated residual frequency attention regularized network for hypersonic flight vehicle fault diagnosis with imbalanced data
OBST-based segmentation approach to financial time series
GNN-fused CapsNet with multi-head prediction for diabetic retinopathy grading
An experimental evaluation of improving rule based classifiers with two approaches that change representations of learning examples
A simulation-based multi-objective genetic algorithm approach for networked enterprises optimization
A new data fusion driven-sparse representation learning method for bearing intelligent diagnosis in small and unbalanced samples
Soft computing approach for modeling power plant with a once-through boiler
Spatial-spectral patch-based multimodal hyperspectral-X data fusion classification network
A population-based algorithm for the bi-objective assembly line worker assignment and balancing problem
Community detection based on Game Theory
Design method for polyurethane-modified asphalt by using Kriging-Particle Swarm Optimization algorithm
ATALK: A decentralized agent platform for engineering open and dynamic organizations
Large-scale analytic hierarchy process method based on fuzzy-rough-advantage relation
Intelligent state assessment of complex autonomous objects based on wavelet analysis
Data-driven failure prediction of Fiber-Reinforced Polymer composite materials
A lightweight prior-encoding-decoding cascade framework for robust depth completion in robotic grasping of transparent objects using RGB-D sensors
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks
Machine learning for resilience analysis: a review of systems under cyberattacks
Machine learning applications in power system fault diagnosis: Research advancements and perspectives
Intelligent virtual manufacturing cell formation in cloud-based design and manufacturing
Four-dimension efficient pixel-frequency transformer for light field spatial and angular super-resolution
Model free adaptive support vector regressor controller for nonlinear systems
Low complexity adaptive neural network three-dimensional tracking control for autonomous underwater vehicles considering uncertain dynamics
A vehicle detection method based on cross-scale feature fusion
Performance enhancing techniques for deep learning models in time series forecasting
Multi-period mean-variance fuzzy portfolio optimization model with transaction costs
Fuzzy possibilistic modeling and sensitivity analysis for optimal fuel gas scheduling in refinery
An iterated greedy algorithm for the obnoxious p-median problem
M-GaitFormer: Mobile biometric gait verification using Transformers
Touching the limit of Rolling Multilayer Perceptron for efficient two-dimensional medical image segmentation
Learnable Daubechies wavelet neural layers: A novel fault diagnosis architecture for high-speed train under severe noise condition
RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation
Conformance testing of ontologies through ontology requirements
Real-time semantic segmentation for underground mine tunnel
A cascaded modeling approach for comprehensive reaction state perception of a hydrometallurgical reactor
A coordinated modelling and control of modified pumped storage governor with unified power flow controller to damp low frequency oscillations in power system for stochastic renewable penetrations
Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset
A classification method for online consultation on civil disputes based on deep transfer learning with small datasets
A cross-domain multi-scale feature fusion network based on graph convolution for intelligent fault diagnosis
Economic model predictive control of thermal-power boiler-turbine units with extreme learning machine-deep belief network
Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction
A three-dimensional probabilistic fermatean neutrosophic hesitant green transportation system for the sustainable management of biomedical waste
Improvement of Bagging performance for classification of imbalanced datasets using evolutionary multi-objective optimization
Modelling stress-strain and volume change behaviour of unsaturated soils using an evolutionary based data mining technique, an incremental approach
Explainable causal variational autoencoders based equivariant graph neural networks for analyzing the consumer purchase behavior in E-commerce
A novel distance function of D numbers and its application in product engineering
Integrating permutation feature importance with conformal prediction for robust Explainable Artificial Intelligence in predictive process monitoring
AI-based condition monitoring on mechanical systems using multibody dynamics models
Event-centric hierarchical hyperbolic graph for multi-hop question answering over knowledge graphs
An adaptive optimization machine of mass function for conflict management
A novel partial grey prediction model based on traffic flow wave equation and its application
A review of driver gaze estimation and application in gaze behavior understanding
Single-chip fuzzy logic controller design and an application on a permanent magnet dc motor
Efficient real-time object detection for embedded and industrial systems:The You Only Look Once-Compact approach
Photon/electron classification in liquid argon detectors by means of Soft Computing
A competitive new multi-objective optimization genetic algorithm based on apparent front ranking
A dual-branch convolutional neural network with domain-informed attention for arrhythmia classification of 12-lead electrocardiograms
Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification
The customer-based supplier selection and order allocation problem based on the waste management and resilience dimensions: A data-driven approach
Research on mathematical model of green behavior propagation based on big data statistical analysis and artificial intelligence algorithm
Dynamic Visual Attention-based Neuron Awakening and Shifting in deep reinforcement learning
Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study
PSO-based sink placement and load-balanced anycast routing in multi-sink WSNs considering compressive sensing theory
Leak detection for natural gas gathering pipeline using spatio-temporal fusion of practical operation data
Scoring and assessment in medical VR training simulators with dynamic time series classification
Redundancy-aware masked graph autoencoder for overlapping community detection in attributed networks
A MapReduce-based approach for shortest path problem in large-scale networks
A survey of federated learning-based gradient compression for internet of vehicles
Estimation of the orientation of potatoes and detection bud eye position using potato orientation detection you only look once with fast and accurate features for the movement strategy of intelligent cutting robots
Preserving complex object-centric graph structures to improve machine learning tasks in process mining
Backtracing Byzantine attacks in distributed average consensus networks: A gated graph neural network approach with graph reconstruction
Surrogate-agent modeling for improved training
Examining the application of strategic management and artificial intelligence, with a focus on artificial neural network modeling to enhance human resource optimization with advertising and brand campaigns
IMS 10 - Validation of a co-evolving diagnostic algorithm for evolvable production systems
Segmentation-enhanced Medical Visual Question Answering with mask-prompt alignment using contrastive learning and multitask object grounding
SPSNet: Boosting 3D point-based object detectors with stable point sampling
Caspar: Towards decision making helpers agents for IoT, based on natural language and first order logic reasoning
Planning for mechatronics systems - Architecture, methods and case study
Exploring the role of Convolutional Neural Networks (CNN) in dental radiography segmentation: A comprehensive Systematic Literature Review
Speculation and negation identification via unified Machine Reading Comprehension frameworks with lexical and syntactic data augmentation
Deep adaptive wavelet autoencoder with mutually independent empirical cumulative distribution for unsupervised motor anomaly detection
A robust deep learning based model for denoising phonocardiogram signals in clinical environments
Identification of product definition patterns in mass customization by multi-information fusion weighted support vector machine
Fuzzy nonlinear programming approach to the evaluation of manufacturing processes
An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique
A dynamic probabilistic graphical model for mapping tasks to virtual machines in data centers
Machine-tool condition monitoring with Gaussian mixture models-based dynamic probabilistic clustering
Additive dynamic Bayesian networks for enhanced feature learning in soft sensor modeling
A powerful variant of symbiotic organisms search algorithm for global optimization
SlimDL: Deploying ultra-light deep learning model on sweeping robots
Multimodal contrastive learning for face anti-spoofing