yusuke1997/dblp-id-title huggingface dataset:
A modified Fuzzy k-Partition based on indiscernibility relation for categorical data clustering
Network-based direction of movement prediction in financial markets
Uncertainty-aware focal loss for object segmentation
On validating propositional logic system descriptions for fault diagnosis
Scalable feed-forward and backward quantum image representation
An Artificial Neural Network approach to assess road roughness using smartphone-based crowdsourcing data
Stable adaptive control with recurrent neural networks for square MIMO non-linear systems
Passive robust fault detection using RBF neural modeling based on set membership identification
Securing healthcare data in industrial cyber-physical systems using combining deep learning and blockchain technology
YH-Pose: Human pose estimation in complex coal mine scenarios
Improved double TQWT sparse representation using the MQGA algorithm and new norm for aviation bearing compound fault detection
One-stage keypoint detection network for end-to-end cow body measurement
Risk preference evaluation approach based on the Choquet integral in q-rung orthopair fuzzy environment and its automotive performance assessment
Implementation of reinforcement learning for enhanced pressure control in a 190,000-barrel crude distillation unit: The first full-scale commercial deployment
An intelligent heart disease prediction framework by optimal feature integration with multi serial cascaded adaptive dilated network using heuristic improvement
A self-adaptive transformer-enhanced physics-informed neural network for railway dynamics system
A new MIMO ANFIS-PSO based NARMA-L2 controller for nonlinear dynamic systems
Hybrid semantic-structural graph neural network for fault knowledge graph completion in railway operational equipment
Health state assessment based on the Parallel-Serial Belief Rule Base for industrial robot systems
Investigating the influence of dimensionality reduction on force estimation in robotic-assisted surgery using recurrent and convolutional networks
Soft output decision convolutional (SONNA) decoders based on the application of neural networks
I-struve: Automatic linguistic descriptions of visual double stars
Automated function development for emission control with deep reinforcement learning
Soft Prompt-tuning with Self-Resource Verbalizer for short text streams
Algorithms for decision-making process using complex Pythagorean fuzzy set and its application to hospital siting for COVID-19 patients
A genetic algorithm tool for conceptual structural design with cost and embodied carbon optimization
Intelligent calculation of reachable domain under No-fly zone influence based on tangent flight trajectories
Web image annotation based on Tri-relational Graph and semantic context analysis
A sanitization approach for hiding sensitive itemsets based on particle swarm optimization
Improved generalization with deep neural operators for engineering systems: Path towards digital twin
Parameters identification of nonlinear state space model of synchronous generator
Optimising post-disaster waste collection by a deep learning-enhanced differential evolution approach
A Neural Rendering system for fashion design process
Short-term wind speed prediction method based on prior wind direction knowledge and multi-period decoupling
Designing multi-agent unit tests using systematic test design patterns-(extended version)
Interpretable spatio-temporal prediction using Deep Neural Network - Local Interpretable Model-agnostic Explanations: A case study on leptospirosis outbreaks in Malaysia
A decomposed fuzzy based fusion of decision-making and metaheuristic algorithm to select best unmanned aerial vehicle in agriculture 4.0 era
Model Predictive Control when utilizing LSTM as dynamic models
Context-aware knowledge-based middleware for selective information delivery in data-intensive monitoring systems
Effective electricity load forecasting using enhanced double-reservoir echo state network
A multi-label Continual Learning framework to scale deep learning approaches for packaging equipment monitoring
Twin data multimode collaborative transfer learning for bearing failure diagnosis
Blind source separation based on self-organizing neural network
A feature space class balancing strategy-based fault classification method in solar photovoltaic modules
An explainable artificial intelligence - human collaborative model for investigating patent novelty
Emerging Issues and Applications of Type-2 Fuzzy Sets and Systems
Dual-model: Revised imaging network and visual perception correction for underwater image enhancement
Developing of a multi-angle and varied walking conditions dataset for human gait recognition
Preference ranking organization method for enrichment evaluation-based feature selection for multiple source ordered information systems
Role of artificial intelligence and augmented reality in fashion industry from consumer perspective: Sustainability through waste and return mitigation
A stochastic gravitational approach to feature based color image segmentation
Multi-category intuitionistic fuzzy twin support vector machines with an application to plant leaf recognition
Weakly-supervised learning approach for potato defects segmentation
Reliability-based approach to the inverse kinematics solution of robots using Elman's networks
Derive knowledge of Z-number from the perspective of Dempster-Shafer evidence theory
Sim-to-real transfer via a Style-Identified Cycle Consistent Generative Adversarial Network: Zero-shot deployment on robotic manipulators through visual domain adaptation
Genetic learning and performance evaluation of interval type-2 fuzzy logic controllers
A hierarchical CSP search for path planning of cooperating self-reconfigurable mobile fixtures
VAE4RSS: A VAE-based neural network approach for robust soft sensor with application to zinc roasting process
Swin-JDE: Joint Detection and Embedding Multi-Object Tracking in Crowded Scenes Based on Swin-Transformer
Enhancing speech emotion detection with Windowed Long-Term Average Spectrum and Logistic-Rectified Linear Unit
Global-local coupled learning method for autonomous underwater vehicle side-scan sonar image recognition
A novel method for correcting dew point protection data of heavy-duty diesel vehicles based on random forest
A multistage retrieval system for health-related misinformation detection
A target intention recognition method based on information classification processing and information fusion
Enhancement of tool life using magneto-rheological fluid damping and tool wear prediction through deep learning model in milling
Solving the forward kinematics problem in parallel robots using Support Vector Regression
A new hybrid evolutionary based RBF networks method for forecasting time series: A case study of forecasting emergency supply demand time series
Causal reinforcement learning based on Bayesian networks applied to industrial settings
Determinants of travel satisfaction for commercial airlines: A data mining approach
Estimating ink density from colour camera RGB values by the local kernel ridge regression
Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis
Restoration of magnetohydrodynamic-corrupted 12-lead electrocardiogram to enhance cardiac monitoring during magnetic resonance imaging
Evidential framework for Error Correcting Output Code classification
Time-series clustering: A benchmark study on energy data with insights into demand response
Learning semantic information from Internet Domain Names using word embeddings
A novel grey Riccati-Bernoulli model and its application for the clean energy consumption prediction
Combining accuracy and success-rate to improve the performance of eXtended Classifier System (XCS) for data-mining and control applications
Prioritization of key quality characteristics with the three-dimensional HoQ model-based interval-valued spherical fuzzy-ORESTE method
FSD-CLCD: Functional semantic distillation graph learning for cross-language code clone detection
An efficient power extraction using artificial intelligence based machine learning model for SPV array reconfiguration in solar industries
Improving action segmentation via explicit similarity measurement
Scheduling operations in a large hospital by multiple agents
Incremental model-based global dual heuristic programming with explicit analytical calculations applied to flight control
Toward accurate and efficient weather prediction using a dual-gated spatiotemporal attention network
An adaptive financial trading strategy based on proximal policy optimization and financial signal representation
A novel structural adaptive seasonal grey Bernoulli model in natural gas production forecasting
A reliable traversability learning method based on human-demonstrated risk cost mapping for mobile robots over uneven terrain
Chronicle knowledge-based multi-level response prediction for predictive control by forest models in process industry
Fast sparse twin learning framework for large-scale pattern classification
Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies
Scalable incomplete multi-view clustering via tensor Schatten p -norm and tensorized bipartite graph
Energy performance prediction of centrifugal pumps based on adaptive support vector regression
A non-stationary channel prediction method for UAV communication network with error compensation
Multi-agent based scheduling method for tandem automated guided vehicle systems
Workload-based adaptive decision-making for edge server layout with deep reinforcement learning
Real-time motion detection by lateral inhibition in accumulative computation
A grey-layered ANP based decision support model for analyzing strategies of resilience in electronic supply chains
Complete coverage planning using Deep Reinforcement Learning for polyiamonds-based reconfigurable robot
A novel incremental method with dynamic learnable pruning mechanism for low-speed machinery fault diagnosis
A spatial squeeze and multimodal feature fusion attention network for multiple tumor segmentation from PET-CT Volumes
Multi-shot human re-identification using a fast multi-scale video covariance descriptor
A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors
A grid-based boundary sharpening clustering algorithm
Unsupervised word sense induction using rival penalized competitive learning
Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data
Flare detection and detail compensation for nighttime flare removal
Combined analysis of thermofluids and electromagnetism using physics-informed neural networks
Corrigendum to "Short-term high-speed rail passenger flow prediction by integrating ensemble empirical mode decomposition with multivariate grey support vector machine" [Eng. Appl. Art. Intellig. 136PB (2024) 109005]
Hyper boundary conditions: Data-driven operator for boundary value problems
Low-high frequency network for spatial-temporal traffic flow forecasting
BV-NORM: A neural operator learning framework for parametric boundary value problems on complex geometric domains in engineering
Efficient active flow control strategy for confined square cylinder wake using deep learning-based surrogate model and reinforcement learning
Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data
Multi-scale orthogonal Gabor filters based ConvNets for illumination robust single sample face recognition
A game theory competitive intelligence solution stimulated from a Stackelberg game: A three players scenario
Forecasting childhood and adolescent obesity prevalence in Türkiye through 2030: A novel application of artificial neural networks for public health planning
Learnable patchmatch and self-teaching for multi-frame depth estimation in monocular endoscopy
Towards explainable and accurate medical waste detection: A You Only Look Once Version 11-based framework with SlideLoss and channel attention
Information guided attention network for bearing remaining useful life prediction adaptive to working conditions and fault modes
The object-oriented dynamic task assignment for unmanned surface vessels
Enhancing sustainability in supply chain management using softmax Schweizer-Sklar information aggregation
Vehicle theft detection by generative adversarial networks on driving behavior
Multi-modal self-supervised contrastive representation learning for three-dimensional point cloud understanding
Multiple deep neural networks with multiple labels for cross-modal hashing retrieval
Minutia reconstruction in sonar images with diffusion probabilistic models
Loop closure detection with patch-level local features and visual saliency prediction
A novel interdependence based multilevel thresholding technique using adaptive equilibrium optimizer
PVDet: Towards pedestrian and vehicle detection on gigapixel-level images
Note on m-polar fuzzy graph representation of concept lattice: How to really compute m-polar fuzzy concepts
Modeling research on the sorption kinetics of pentachlorophenol (PCP) to sediments based on neural networks and neuro-fuzzy systems
A bidirectional bi-objective graph search model for sustainable urban railway alignment optimization
Continuous spatio temporal prompts for visual tracking
Thermographic fault diagnosis of electrical faults of commutator and induction motors
An innovative method of multi-view face frontalization based on receptive field-enhanced conditional generative adversarial network
Corrigendum to "Interpretable spatio-temporal prediction using deep neural network - Local interpretable model-agnostic explanations: A case study on leptospirosis outbreaks in Malaysia" [Engineering Applications of Artificial Intelligence 151 (2025) 110665]
An insight into crash avoidance and overtaking advice systems for Autonomous Vehicles: A review, challenges and solutions
Enhanced prediction of parking occupancy through fusion of adaptive neuro-fuzzy inference system and deep learning models
Incremental learning for property price estimation using location-based services and open data
A novel interval type-2 fuzzy consensus reaching process model and group decision-making method for renewable energy investment
Rotation and semantic co-aware Transformer for oriented object detection in remote sensing images
Emotion recognition using speech and neural structured learning to facilitate edge intelligence
A novel data driven anticipatory framework for the communicable syndrome
An integrated decision model for cloud vendor selection using probabilistic linguistic information and unknown weights
Deep Reinforcement Learning of group consciousness for multi-robot pathfinding
Optimal fog node selection based on hybrid particle swarm optimization and firefly algorithm in dynamic fog computing services
A digital twin-based decision support approach for AGV scheduling
Adaptive learning for dynamic environments: A comparative approach
Alleviating confirmation bias in perpetually dynamic environments: Continuous unsupervised domain adaptation-based condition monitoring (CUDACoM)
Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data
Kernel based nonlinear fuzzy regression model
A study on the automation of borehole image auto-recognition based on instance segmentation
Freezing partial source representations matters for image inpainting under limited data
A unified region and concept-level explainable artificial intelligence method for explainability and active learning of defect segmentation model
Orienteering-based informative path planning for environmental monitoring
Decision making for energy investments by using neutrosophic present worth analysis with interval-valued parameters
Robust scheduling of EMU first-level maintenance in a stub-end depot under stochastic uncertainties
Automatic semantic indexing of medical images using a web ontology language for case-based image retrieval
Consistency-based decision-making method with linguistic Q-rung orthopair fuzzy preference relation for power battery selection of new energy vehicles
Enhanced multi-modal emotion recognition using the feature level fusion
A combined Adaptive Gaussian Short-Term Fourier Transform and Mamba framework for stock price prediction
The Fast Maximum Distance to Average Vector (F-MDAV): An algorithm for k-anonymous microaggregation in big data
Fast and accurate prediction of H2 combustion via data-augmented physics-informed operator learning
Three-dimensional reconstruction and fracture segmentation based on X-ray and computed tomography paired dataset
Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification
Neighborhood search with heuristic-based feature selection for click-through rate prediction
Utility of machine learning algorithms to classify age groups based on gait pattern: A biomechanical calendar
Artificial immune classifier with swarm learning
A survey on the mechanism and countermeasures of low-frequency swaying of high-speed trains caused by aerodynamic loads
Visual sensing approach for high-precision pressure estimation in robotic manipulation
Application of artificial neural networks for predicting the bearing capacity of the tip of a pile embedded in a rock mass
Sketch & Fetch: Draw a logo sketch to fetch the suspect from surveillance footage
Distributed approach to group control of elevator systems using fuzzy logic and FPGA implementation of dispatching algorithms
Data Flow and Distributed Deep Neural Network based low latency IoT-Edge computation model for big data environment
Prediction of arthritis using a modified Kohonen mapping and case based reasoning
A two-stage reinforcement learning-based approach for multi-entity task allocation
Mechanism of knowledge management system self-learning case and knowledge matching based on bidirectional dimension reduction
A multi-granularity probabilistic linguistic decision support system with incomplete weight information affected by psychological disparity for smart water engineering
Interpretable adaptive multiwavelet kernel-driven two-dimensional convolutional neural network for mechanical fault diagnosis
Multi-spatio-temporal Fusion Graph Recurrent Network for Traffic Forecasting
Tabu search with feasible and infeasible searches for equitable coloring
Editorial note for the special issue on 'Artificial Intelligence Techniques for Supply Chain Management'
Presenting the special issue on Engineering Applications of Neural Networks - Novel applications of neural networks in engineering
Transductive gradient injection for improved hyperspectral image denoising
Elastic net regularization and gabor dictionary for classification of heart sound signals using deep learning
Interval-valued Fermatean fuzzy heronian mean operator-based decision-making method for urban climate change policy for transportation activities
Modeling of complex industrial process based on active semi-supervised clustering
Medical hyperspectral image classification based weakly supervised single-image global learning network
Efficient web service QoS prediction using local neighborhood matrix factorization
Revolutionizing sentiment classification: A deep learning approach using self-attention based encoding-decoding transformers with feature fusion
WSRGAN: A wavelet-based GAN for super-resolution of plane-wave ultrasound images without sampling loss
Advanced crack detection and quantification strategy based on CLAHE enhanced DeepLabv3+
Trajectory planning of redundant parallel mechanism considering motion accuracy based on reinforcement learning
Optimizing an integrated home care problem: A heuristic-based decision-support system
Decision system for copper flotation backbone process
Robust spatiotemporal crash risk prediction with gated recurrent convolution network and interpretable insights from SHapley additive explanations
Sparse large-scale multi-objective optimization algorithm based on impact factor assistance
An optimised product-unit neural network with a novel PSO-BP hybrid training algorithm: Applications to load-deformation analysis of axially loaded piles
An adaptive differential evolution with dynamic perturbation and dimensional bidirectional crossover mechanism for diversity enhancement
Adaptive gradient-aware neural dynamics: Towards fast and accurate solutions for dynamic convex optimization
Evolutionary algorithm determining defuzzyfication operators
Transfer learning enhanced deep neural network application in Gauss quadrature for isogeometric analysis
TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems
AI-based UAV navigation framework with digital twin technology for mobile target visitation
Dual-stage dynamic hierarchical attention framework for saliency-aware explainable diabetic retinopathy grading
Dual angle magnetic arc blow estimation in keyhole tungsten inert gas welding using high dynamic range imaging and a lightweight vision transformer network with coordinate attention and multiple auxiliary branches
A rational and consensual method for group decision making with interval-valued intuitionistic multiplicative preference relations
Gated recurrent unit accelerators for financial time series prediction on field-programmable gate array
Heterogeneous ensemble short-term integrated load forecasting considering differentiated cycle-trend properties
T-distributed stochastic neighbor embedding echo state network with state matrix dimensionality reduction for time series prediction
Clustering analysis using an adaptive fused distance
Common and specific deep feature representation for multimode process monitoring using a novel variable-wise weighted parallel network
A hybrid deep learning approach for the design of 2D low porosity auxetic metamaterials
A sea-land clutter classification framework for over-the-horizon radar based on weighted loss semi-supervised generative adversarial network
Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news
Intelligent breast cancer diagnosis: K-means-based oversampling and comparative feature selection for enhanced classification
Fatigue life prediction driven by mesoscopic defect data
RailEINet:A novel scene segmentation network for automatic train operation based on feature alignment
CFENet: Cost-effective underwater image enhancement network via cascaded feature extraction
Reinforcement learning-based secure tracking control for nonlinear interconnected systems: An event-triggered solution approach
Active learning for image retrieval via visual similarity metrics and semantic features
Customizable 6 degrees of freedom grasping dataset and an interactive training method for graph convolutional network
Forecasting the sales and stock of electric vehicles using a novel self-adaptive optimized grey model
High-resolution multi-view stereo with multi-scale feature fusion
Global-to-Local Deep Interaction and Boundary-Aware Transformer for accurate polyp segmentation
Fixed time synchronization of octonion valued neural networks with time varying delays
Solving combined economic and emission dispatch problems using reinforcement learning-based adaptive differential evolution algorithm
Overcoming data scarcity: A transfer learning framework with fine-tuned neural networks and multi-sensor satellite image fusion for soil moisture estimation
MF2-Net: A multipath feature fusion network for medical image segmentation
Contrastive deep graph clustering via higher-order heuristic augmentation and propagation
A deep evidence fusion framework for apple leaf disease classification
Agent-based virtual organization architecture
Surrogate relaxation of a fuzzy multidimensional 0-1 knapsack model by surrogate constraint normalization rules and a methodology for multi-attribute project portfolio selection
A fuzzy clustering-based genetic algorithm approach for time-cost-quality trade-off problems: A case study of highway construction project
Composite descriptor based on contour and appearance for plant species identification