yusuke1997/dblp-id-title huggingface dataset:
High-speed portrait video segmentation using the hybrid combination of deep-learning models and boundary movement adjustment
Adaptive multimodal control of trans-media vehicle based on deep reinforcement learning
Attention-interactive horizontal-vertical graph-aware network for medical spine segmentation
Classification of seed corn ears based on custom lightweight convolutional neural network and improved training strategies
Estimating the parameters of parametric lifetime distributions through an efficient acceptance-rejection sampler
Beyond spatial neighbors: Utilizing multivariate transfer entropy for interpretable graph-based spatio-temporal forecasting
FlexDx: A reconfigurable diagnosis framework
One-class learning for fake news detection through multimodal variational autoencoders
Multiple quality-of-services optimization in space-air-ground integrated network: Centralized and decentralized deep reinforcement learning approaches
Semi-supervised federated learning for collaborative security threat detection in control system for distributed power generation
Predicting water quality in municipal water management systems using a hybrid deep learning model
Evaluating feature extraction and classification techniques: A comparative approach to face annotation
TIE-LR: A multi-module deep learning framework for traffic monitoring on low-resolution videos
Efficient healthcare supply chain: A prioritized multi-task learning approach with task-specific regularization
A novel landslide susceptibility mapping method based on a backpropagation neural network algorithm with optimized non-landslide samples and hyperparameters
A hybrid ensemble model to detect Bitcoin fraudulent transactions
Advancing fault diagnosis in industrial systems: The power of V-nets for managing complex event sequences
Generative artificial intelligence-based modified abstractive cross attention enabled sequence to sequence model for abstractive Hindi text summarization
An initiative in medical diagnosis for detecting the factors of hypoglycemia disease with a new approach of interval-valued Pythagorean fuzzy linear Diophantine Aczel Alsina aggregation operators
Differential privacy scheme using Laplace mechanism and statistical method computation in deep neural network for privacy preservation
Cross-modal information balance-aware reasoning network for image-text retrieval
Data-driven prediction of change propagation using Dependency Network
Explainable stacking-based hybrid machine learning for predicting uni-axial creep deformation in concrete
The evolution of object detection methods
An adapted multi-objective genetic algorithm for solving the cash in transit vehicle routing problem with vulnerability estimation for risk quantification
A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding
Efficient quantized transformer for atrial fibrillation detection in cross-domain datasets
Cooperative reconnaissance coverage for heterogeneous unmanned aerial vehicle swarm in unknown communication interference environments
q-Rung orthopair fuzzy multi-criteria decision-making method for Internet of Things platforms selection
Gaussian process approach for modelling of nonlinear systems
A novel semi-supervised learning framework for large-scale imbalanced remote sensing object detection
Adaptive finite-time fault-tolerant control for the full-state-constrained robotic manipulator with novel given performance
Advanced multi-model prediction of aircraft engine remaining useful life with random sampling-based class balancing and voting-based features selection
Flame detection technology for buildings safety based on wireless sensing
A deep learning architecture for fast simulation of subsurface in-situ pressure profile dynamics based on Conditional Wasserstein Generative Adversarial Network with Gradient Penalty
Ensemble fuzzy models in personalized medicine: Application to vasopressors administration
Enhanced understanding of bond strength of fiber-reinforcement-polymer bars reinforced concrete subjected to elevated temperature for interfacial failure prevention: Explainable artificial intelligence method
Vector based sentiment and emotion analysis from text: A survey
A parallel memetic algorithm for qubit mapping on noisy intermediate-scale quantum machines
Robust prediction of remaining useful lifetime of bearings using deep learning
Hybrid adaptive learning neural network control for steer-by-wire systems via sigmoid tracking differentiator and disturbance observer
Big-data-driven vessel destination prediction for smart port management
Generation of broadband spectra from physics-based simulations using stochastic LSTM network
A zero-sample intelligent fault diagnosis method for bearings based on category relationship model
Hybrid Gaussian quantum particle swarm optimization and adaptive genetic algorithm for flexible job-shop scheduling problem
Remaining useful life estimation with multiple local similarities
A reaction-diffusion based level set method for image segmentation in three dimensions
Data extension-based analysis and application selection of process-composition-properties of die casting aluminum alloy
Event-driven emergency data dissemination in vehicular named data networking based on learning automata
Efficient citywide planning of open WiFi access networks using novel grouping harmony searchheuristics
Multilayer adaptive critic design with digital twin for data-driven optimal tracking control and industrial applications
Research on three-dimensional reconstruction method of small power equipment with sparse views in complex scenes by integrating discrete wavelet and Gaussian neural fields
MLR-Net: A multi-layer residual convolutional neural network for leather defect segmentation
Semi-supervised rotation-invariant representation learning for wafer map pattern analysis
A novel fractional-order type-2 fuzzy control method for online frequency regulation in ac microgrid
Intragroup-to-intergroup game envelopment analysis: Multi-subgroup modeling, dual Nash equilibrium, and dynamic evaluation application
Frequency-aware robust multidimensional information fusion framework for remote sensing image segmentation
IMA health state evaluation using deep feature learning with quantum neural network
Predicting and interpreting financial distress using a weighted boosted tree-based tree
Semi-supervised active learning hypothesis verification for improved geometric expression in three-dimensional object recognition
Understanding the impacts of negative advanced driving assistance system warnings on hazardous materials truck drivers' responses using interpretable machine learning
Navigating sentiment analysis through fusion, learning, utterance, and attention Methods: An extensive four-fold perspective survey
Multi-stage self-training social bot detection based on graph neural network
Enhanced medical image segmentation using U-Net with residual connections and dual attention mechanism
Remaining useful life prediction of machinery based on improved Sample Convolution and Interaction Network
Recurrent neural network based design of fractional order power system stabilizer for effective damping of power oscillations in multimachine system
Towards pedestrian head tracking: A benchmark dataset and a multi-source data fusion network
A flood inundation modelling using v-support vector machine regression model
Elite-based multi-objective improved iterative local search algorithm for time-dependent vehicle-drone collaborative routing problem with simultaneous pickup and delivery
Discriminative semi-supervised non-negative matrix factorization for data clustering
Hybrid path planning based on adaptive visibility graph initialization and edge computing for mobile robots
A novel method based on near-infrared imaging spectroscopy and graph-learning to evaluate the dyeing uniformity of polyester yarn
Remaining useful life transfer prediction integrated with time-varying operation condition decoupling transformation
Adaptive multi-view multiple-means clustering via subspace reconstruction
Deep learning based multi-source heterogeneous information fusion framework for online monitoring of surface quality in milling process
Fault diagnosis of wind turbine blades with continuous wavelet transform based deep learning model using vibration signal
An evolutionary single Gabor kernel based filter approach to face recognition
Long-term forecasting of multivariate time series in industrial furnaces with dynamic Gaussian Bayesian networks
A multi-scale feature extraction and fusion framework based on wavelet Kolmogorov-Arnold networks and parallel Bi-directional gated recurrent units for electric load forecasting
An intelligent fuzzy logic based-trust system in underwater acoustic sensor networks
Modeling and implementation of brain emotional controller for Permanent Magnet Synchronous motor drive
Machine learning approaches to predict oxidative potential of fine particulate matter based on chemical constituents
A data-driven tracking control framework using physics-informed neural networks and deep reinforcement learning for dynamical systems
Grid-based many-objective optimiser for aircraft conceptual design with multiple aircraft configurations
Gaussian processes and Fast Marching Square based informative path planning
Detection of undesirable communication patterns in multi-agent systems
A ground-based cloud image classification method for photovoltaic power prediction based on Convolutional Neural Networks and Vision Transformer
Explainable framework based on integrated sensor fusion and deep learning to estimate stability in high-speed micromilling of thin-walled titanium alloy
Predicting helpfulness of multimodal reviews with customer confirmation bias: A hierarchically trusted multi-view deep learning method
RoAN: A relation-oriented attention network for temporal knowledge graph completion
A service scenario generation scheme based on association rule mining for elderly surveillance system in a smart home environment
A deep transfer regression method based on seed replacement considering balanced domain adaptation
HB-RRT:A path planning algorithm for mobile robots using Halton sequence-based rapidly-exploring random tree
Thermal failure of diamond tools indicated by diamond degradation: Damage evaluation and property prediction on small image datasets
A genetic classification method for speaker recognition
Uncertainty measurement for single cell RNA-seq data via Gaussian kernel: Application to unsupervised gene selection
EEG channel selection using Gramian Angular Fields and spectrograms for energy data visualization
Legendre multiwavelet-based feature attention guidance lightweight network for accurate steel surface defect classification
A hybrid real-time tidal prediction mechanism based on harmonic method and variable structure neural network
Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads
Fault diagnosis of wind turbine based on dual-channel feature aggregation network with attentional mechanism
On some aspects of fuzzy logic application in machine monitoring and diagnostics
A knowledge-driven scatter search algorithm for the distributed hybrid flow shop scheduling problem
Non-dominated sorting moth flame optimization (NS-MFO) for multi-objective problems
Mechanism analysis of non-inertial particle swarm optimization for Internet of Things in edge computing
Learning of neural network with optimal control tools
Attention-based direct three-dimensional human pose estimation for point clouds
Intelligent detection of warning bells at level crossings through deep transfer learning for smarter railway maintenance
Residual adaptive sparse hybrid attention transformer for image super resolution
Clustering with label constrained Dirichlet process mixture model
On a clustering-based mining approach for spatially and temporally integrated traffic sub-area division
Machine learning approaches for predicting and evaluating pause rate at expressway rest areas
Multitask gated interactive network for automatic international classification of diseases coding with dual denoising mechanism
Ellipsoidal/radial basis functions neural networks enhanced with the Rvachev function method in application problems
Unsupervised anomaly detection in energy storage systems using Dual-View latent variable modeling
Data-driven methods for stress field predictions in random heterogeneous materials
Mining high average-efficiency itemsets based on a compact list structure
Neural differential constraint-based pedestrian trajectory prediction model in ego-centric perspective
An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes
Application of on-line adaptable Neural Network for the rolling force set-up of a plate mill
Exploiting fractional accumulation and background value optimization in multivariate interval grey prediction model and its application
A fast end-to-end method for automatic interior progress evaluation using panoramic images
Optimizing performance metrics with new distance and similarity measures using control parameters of linear Diophantine fuzzy sets
Current trends and future directions in eye tracking technology: A literature review
Community detection via deep motif-regularized asymmetric nonnegative matrix factorization
Optimizing quay crane scheduling using deep reinforcement learning with hybrid metaheuristic algorithm
Calculating of stomatal index for tomato and lettuce based on You Only Look Once version 8 and improved High-Resolution Network
An integrated multi-criteria decision-making approach with unknown weight information under probabilistic dual-hesitant Pythagorean fuzzy environment and its application to supplier selection
Ontology Coverage Analysis through Language Models
Explainable, interpretable, and trustworthy AI for an intelligent digital twin: A case study on remaining useful life
Graph Neural Network-based Deep Reinforcement Learning algorithm for Virtual Network Function forwarding graph embedding in Space-Air-Ground Integrated Network
Enhanced financial market forecasting using a hybrid deep learning prediction model with encoder-decoder architecture
Optimal maintenance scheduling of generators using multiple swarms-MDPSO framework
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems
Twin-Stream Network: Enhancing wave prediction by capturing spatiotemporal information
DGFaceNet: Lightweight and efficient face recognition
Automatic detection of Parkinson's disease based on acoustic analysis of speech
Image denoising by using PDE and GCV in tetrolet transform domain
SUCOLA: Self-adaptive structure refinement unsupervised contrastive learning framework for food safety risk early warning
Dual-domain sampling and feature-domain optimization network for image compressive sensing
Machine learning-based multiphase pipeline network modeling
Forecasting of short-term traffic-flow based on improved neurofuzzy models via emotional temporal difference learning algorithm
An interpretable dynamic Bayesian network method for time-varying seismic liquefaction uplift risk assessment of underground rectangular structures
A convergence and diversity guided leader selection strategy for many-objective particle swarm optimization
Explainable RUL estimation of turbofan engines based on prognostic indicators and heterogeneous ensemble machine learning predictors
ECSYAPPS - A framework for analyzing the effectiveness of classification techniques for early prediction of students academic performance in education sector
Improved extreme learning machine for multivariate time series online sequential prediction
Confidence-aware iterative training for cross-lingual entity alignment
Integrating the group-based fuzzy best-worst method and fuzzy technique for order of preference by similarity to ideal solution for selecting contractors for heritage building renovation projects
Identification of piecewise affine systems by means of fuzzy clustering and competitive learning
Almost sure exponential synchronization analysis of stochastic strict-feedback systems with semi-Markov jump
Identification and classification for multiple cyber attacks in power grids based on the deep capsule CNN
Evolutionary algorithms for VLSI multi-objective netlist partitioning
MPDNet: An underwater image deblurring framework with stepwise feature refinement module
Multi-scale information sharing and selection network with boundary attention for polyp segmentation
Blockchain-based auditing of legal decisions supported by explainable AI and generative AI tools
A new nonlinear ensemble framework based on dynamic-matched weights for tool remaining useful life prediction
A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines
Knowledge graph embedding with inverse function representation for link prediction
Forest-ORE: Mining an optimal rule ensemble to interpret random forest models
An intelligent fault diagnosis for rotating machine under strong noise based on cross-attention-driven spatial-temporal feature fusion and duplexing time sequence convolution optimization
Erasable itemset mining over incremental databases with weight conditions
TSRes-YOLO: An accurate and fast cascaded detector for waste collection and transportation supervision
Invariant Representations Learning with Future Dynamics
Federated learning-assisted intelligent yellow fever outspread prediction framework
Application of a dual foundation approach for construction of an intelligent system
Multi-scale feature fusion with knowledge distillation for object detection in aerial imagery
Decomposition-based modern metaheuristic algorithms for multi-objective optimal power flow - A comparative study
Continuous-Discrete Alignment Optimization for efficient differentiable neural architecture search
Genetic algorithm-based optimal design of modular robot topology based on distributed parallel kinematic modeling and analysis
Deep learning-driven pavement crack analysis: Autoencoder-enhanced crack feature extraction and structure classification
An unsupervised domain adaptation method for detecting blades icing for multiple wind turbines
Time-varying multi-objective smart home appliances scheduling using fuzzy adaptive dynamic SPEA2 algorithm
Transfer learning of syntactic structures for building taxonomies for search engines
A review of visual SLAM methods for autonomous driving vehicles
Fixed-outline floorplanning using robust evolutionary search
Direct transformation of coordinates for GPS positioning using the techniques of genetic programming and symbolic regression
MEI: An efficient algorithm for mining erasable itemsets
Sensor fault analysis of aero-engine using ensemble SCNN and Bayesian interval estimation
Automated detection of scaphoid fractures using deep neural networks in radiographs
Design of stochastic neural networks for the fifth order system of singular engineering model
On the robust regulation problem for nonlinear systems using fuzzy immersions
Feature-driven double deep Q-network with iterated greedy for intelligent scheduling optimization in reentrant hybrid flow shops
Dynamic clustering analysis for driving styles identification
Robust ultra-wideband range error mitigation with deep learning at the edge
Fuzzy unknown input observer for understanding sitting control of persons living with spinal cord injury
Zero-velocity update -aided navigation method for miniature quadruped robot based on adapted virtual inertial measurement unit
Social network regularized Sparse Linear Model for Top-N recommendation
Highway slope stability evaluation model based on similarity measures of spherical single-valued neutrosophic sets
Efficient forest fire occurrence prediction for developing countries using two weather parameters
Enhancing fuzzy cognitive map convergence through supervised and unsupervised learning algorithms: A case study of operational risk assessment in power distribution networks
A hybrid architecture of sparse convolutional neural network-transformer for enhanced spatial-geometric feature learning in surface reconstruction
A new evidential similarity measurement based on Tanimoto measure and its application in multi-sensor data fusion
Ultimate bearing capacity prediction method and sensitivity analysis of PBL
A constitutive framework for non-isothermal plasticity through micro-mechanism informed artificial neural networks
Observer-based robust adaptive interval type-2 fuzzy tracking control of multivariable nonlinear systems
Capacitive sensor-based fluid level measurement in a dynamic environment using neural network
Multi-objective optimization of a laterally perforated-finned heat sink with computational fluid dynamics method and statistical modeling using response surface methodology
Assistance from the Ambient Intelligence: Cyber-physical​ system applications in smart buildings for cognitively declined occupants
Optimizing the distribution of shopping centers with parallel genetic algorithm
Unified weakly and semi-supervised crack segmentation framework using limited coarse labels
An entropy-based membership approach on type-II fuzzy set (EMT2FCM) for biomedical image segmentation
Comparison of RBF and MLP neural networks to solve inverse kinematic problem for 6R serial robot by a fusion approach
Application of GA-BPNN on estimating the flow rate of a centrifugal pump
Real-time EEG classification via coresets for BCI applications
A multi-agent framework for collaborative geometric modeling in virtual environments
A link prediction method for Chinese financial event knowledge graph based on graph attention networks and convolutional neural networks
Enhancing next destination prediction: A novel long short-term memory neural network approach using real-world airline data
Using evolutionary design to interactively sketch car silhouettes and stimulate designer's creativity
Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis
Knowledge discovery-based identification of musical pitches and instruments in polyphonic sounds
Multiple-signal defect identification of hydraulic pump using an adaptive normalized model and S transform
Binarizing historical architectural drawings with shallow convolutional autoencoders
Evaluation of neural network variable influence measures for process control
Self-constructing wavelet neural network algorithm for nonlinear control of large structures
Physics-informed blind wavelet deconvolution transfer network for cross-machine bearing fault diagnosis
Semi-supervised dual-constraint centroid contrastive prototypical network for flip chip defect detection under limited labeled data
Application of effective gravitational search algorithm with constraint priority and expert experience in optimal allocation problems of distribution network
Robust regression with application to symbolic interval data
Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem
Temporal-constrained parallel graph neural networks for recognizing motion patterns and gait phases in class-imbalanced scenarios
A dynamic fuzzy cognitive map applied to chemical process supervision
Adaptive eco-cooperative adaptive cruise control for heterogeneous Vehicle platoons using online identification-informed deep reinforcement learning
Bilateral Triple-interaction network: An accurate segmentation model of wet-blue hide surface defects for leather industry
Evaluation of human standing balance using wearable inertial sensors: A machine learning approach
Automated pixel-level pavement marking detection based on a convolutional transformer
Physical and virtual safety evaluation in autonomous driving systems using three-dimensional adversarial implementations
An ontology-based approach for using physical effects in inventive design
A novel approach to hyperspectral band selection based on spectral shape similarity analysis and fast branch and bound search
Advanced forecast models for the climate and energy crisis: The case of the California independent system operator