yusuke1997/dblp-id-title huggingface dataset:
An improved marine predators algorithm for the optimal design of hybrid renewable energy systems
Robust one-class classification with support vector data description and mixed exponential loss function
Deep learning accelerated efficient framework for topology optimization
Multi-labeled image data-based generative topology optimization of primary mirror with conditional designable generative adversarial network and reinforcement learning
Task assignment in microtask crowdsourcing platforms using learning automata
Optimizing class priors to improve the detection of social signals in audio data
Time series classification models based on nonlinear spiking neural P systems
A unified framework for lung disease screening using chest X-ray images
Hybrid aero-engine performance modeling to enable real-time capability using physics-based analysis and machine learning
Comparison of evolutionary-based optimization algorithms for structural design optimization
Identification and control of power plant de-superheater using soft computing techniques
A minimax probability extreme machine framework and its application in pattern recognition
An empirical semantics approach to reasoning about communication
Deep Face Decoder: Towards understanding the embedding space of convolutional networks through visual reconstruction of deep face templates
Supervised contrastive learning for wafer map pattern classification
Meta-adversarial transfer learning based on a dual-channel transformer network for aircraft engine remaining useful life prediction
A Wavelet Disentanglement and topological semantic neural network for traffic flow forecasting
U-SMR: U-SwinT & multi-residual network for fabric defect detection
PEAVC : An improved minimum vertex cover solver for massive sparse graphs
How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark
Hierarchical recurrent transformer network for video super-resolution
Weighted Epistatic Analysis of NSAIDs Hypersensitivity Data
Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data
Machine learning based dual flat-spherical indentation approach for rough metallic surfaces
Resilient backstepping control for a class of switched nonlinear time-delay systems under hybrid cyber-attacks
A video-based text and equation editor for LaTeX
Genetically programmed-based artificial features extraction applied to fault detection
Application of heuristic and hybrid-GASA algorithms to tool-path optimization problem for minimizing airtime during machining
ZigZag+: A global optimization algorithm to solve the view selection problem for large-scale workload optimization
A novel deep Siamese framework for burned area mapping Leveraging mixture of experts
Multi-Modal Explainable Artificial Intelligence for neural network-based tool wear detection in machining
Generating various airfoils with required lift coefficients by combining NACA and Joukowski airfoils using conditional variational autoencoders
Django-based framework database for leakage detection using machine learning for water distribution networks
Self-evolutionary sibling models to forecast railway arrivals using reservation data
Online learning using deep random vector functional link network
DC-Net: Decomposing and coupling saliency map for lesion segmentation in ultrasound images
Deep learning model for the deformation prediction of concrete dams under multistep and multifeature inputs based on an improved autoformer
Identification of cyber harassment and intention of target users on social media platforms
Semi-supervised contrastive learning for flotation process monitoring with uncertainty-aware prototype optimization
Enhanced feedback analysis of vertical load reliability parameters for airplane landing gear using an improved generative adversarial network and explainable artificial intelligence techniques
Attention-guided generator with dual discriminator GAN for real-time video anomaly detection
Neural network-based analytical solver for Fokker-Planck equation
Intelligent predictive maintenance of hydraulic systems based on virtual knowledge graph
A text mining-based approach for understanding Chinese railway incidents caused by electromagnetic interference
Development of wavelet-based Kalman Online Sequential Extreme Learning Machine optimized with Boruta-Random Forest for drought index forecasting
Inter-relationship between preparation methods, nickel loading, characteristics and performance in the reforming of crude ethanol over Ni/Al 2 O 3 catalysts: A neural network approach
Advanced machine learning techniques for predicting wear performance in graphene oxide particulate interpenetrating polymer network composites
Overcoming catastrophic forgetting in tabular data classification: A pseudorehearsal-based approach
Uncertain remanufacturing reverse logistics network design in industry 5.0: Opportunities and challenges of digitalization
Multi-target search with incomplete information based on partial global path planning with Signal Caching And Rebound Exploration
Random color transformation for single domain generalized retinal image segmentation
Progressive boundary optimisation with cross-knowledge enhancement for arbitrary-shape text detection
A meta-heuristic approach to solve a JIT scheduling problem in hybrid flow shop
Survey of multi-agent systems for microgrid control
A sensing identification method for shearer cutting state based on modified multi-scale fuzzy entropy and support vector machine
Cross-domain fault diagnosis of marine diesel engines based on stepwise diffusion and iterative bidirectional optimization
An unsupervised anomaly detection framework for onboard monitoring of railway track geometrical defects using one-class support vector machine
An ensemble semi-supervised learning method for predicting defaults in social lending
Energy dispatch controllers for a photovoltaic system
Steering knuckle surface defect detection and segmentation based on reverse residual distillation
Fault resistance estimation for line-line fault in photovoltaic arrays using regression-based dense neural network
Adaptive temporal fusion network with depth supervision and modulation for robust three-dimensional object detection in complex scenes
CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images
Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem
Multiple kernel collaborative fuzzy clustering algorithm with weighted super-pixels for satellite image land-cover classification
A novel method for partial discharge source localization in three-dimensional power transformer models using particle swarm optimization and particle filtering
A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection
ZE-numbers: A new extended Z-numbers and its application on multiple attribute group decision making
Multimodal spectral-textual alignment and fusion of large language model and small model for seed quality assessment: A case study in maize vigor detection
A zeroing neural network model for form-finding problems: A nonlinear optimization approach
A new failure mode and effects analysis model using Dempster-Shafer evidence theory and grey relational projection method
A review on data-driven prognostics and health management for wind turbine systems
An interactive ontology-driven information system for simulating background radiation and generating scenarios for testing special nuclear materials detection algorithms
Probabilistic machine leaning models for predicting the maximum displacements of concrete-filled steel tubular columns subjected to lateral impact loading
Deep neural network for halftone image classification based on sparse auto-encoder
Designing an IoT-enabled supply chain network considering the perspective of the Fifth Industrial Revolution: Application in the medical devices industry
A study on metadata structure and recommenders of biological systems to support bio-inspired design
A soft set based VIKOR approach for some decision-making problems under complex neutrosophic environment
Uncertainty management in electricity demand forecasting with machine learning and ensemble learning: Case studies of COVID-19 in the US metropolitans
Density cluster-based feature selection: An information theory approach
Personalized text-to-image generation with Large Language and Vision Assistant enhanced training
Coordinated learning based on time-sharing tracking framework and Gaussian regression for continuous multi-agent systems
Defuzzification block: New algorithms, and efficient hardware and software implementation issues
Adaptive federated few-shot feature learning with prototype rectification
SCGRFuse: An infrared and visible image fusion network based on spatial/channel attention mechanism and gradient aggregation residual dense blocks
Exploratory parallel hybrid sampling framework for imbalanced data classification
Novel third-order hidden Markov models for speaker identification in shouted talking environments
Tuners review: How crucial are set-up values to find effective parameter values?
Deep learning techniques for biometric security: A systematic review of presentation attack detection systems
Planning robot manipulation to clean planar surfaces
Intra- and inter-instance Location Correlation Network for human-object interaction detection
Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach
Some features speak loud, but together they all speak louder: A study on the correlation between classification error and feature usage in decision-tree classification ensembles
Optimal demand response based dynamic pricing strategy via Multi-Agent Federated Twin Delayed Deep Deterministic policy gradient algorithm
An extended robust optimisation approach for sustainable and resilient supply chain network design: A case of perishable products
Wind speed multi-step prediction based on the comparison of wind characteristics and error correction: Focusing on periodic thermally-developed winds
A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process
Thermal conductivity estimation using Physics-Informed Neural Networks with limited data
A novel noise-robustness and rotation-invariant LADAR point cloud target classification method
Generative adversarial network-based prediction of microhole profile drilled with high-energy electron beam on silicon wafer
A physics-informed neural network framework to predict 3D temperature field without labeled data in process of laser metal deposition
A lightweight and explainable model for driver abnormal behavior recognition
A gradient-enhanced physics-informed neural network (gPINN) scheme for the coupled non-fickian/non-fourierian diffusion-thermoelasticity analysis: A novel gPINN structure
An engine-fault-diagnosis system based on sound intensity analysis and wavelet packet pre-processing neural network
Inter- and intra-hypergraph regularized nonnegative matrix factorization with hybrid constraints
Multimodal interval prediction of carbon dioxide emissions from heavy construction machinery: a missing-data robust inverted-transformer model considering sensors failure in complex construction environment
Leveraging the meta-embedding for text classification in a resource-constrained language
Sustainable-resilient-responsive supply chain with demand prediction: An interval type-2 robust programming approach
Deocclusion and integration of advantages for a better hand pose
EVolutionary independent DEtermiNistiC explanation
A Support Vector Machine approach based on physical model training for rolling element bearing fault detection in industrial environments
An improved heuristic algorithm for 2D rectangle packing area minimization problems with central rectangles
MM-UNet: A novel cross-attention mechanism between modules and scales for brain tumor segmentation
Modeling of the carbon dioxide capture process system using machine intelligence approaches
Incremental reinforcement learning for multi-objective analog circuit design acceleration
Visual-tactile fusion learning for material recognition based on channel switching and dual cross-attention
Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data
Performance investigation of channel estimation for intelligent reflecting surface assisted wireless communications using neural network
Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery
Semantic analysis and classification method for customer enquiries in telecommunication services
An electric vehicle sales hybrid forecasting method based on improved sentiment analysis model and secondary decomposition
Novel inverse predictive system integrated with industrial lubricant information
Solving optimal reactive power dispatch problem using a novel teaching-learning-based optimization algorithm
Entropy based fuzzy multi-view twin random vector functional link for class imbalanced data
Learning latent features with local channel drop network for vehicle re-identification
Effect of feature optimization on performance of machine learning models for predicting traffic incident duration
Stacked machine learning-based probabilistic seismic demand and risk assessment of railway embankments with variable slopes
Classification model for blast furnace status based on multi-source information
Corrigendum to: "Genetic algorithm for supply planning in two-level assembly systems with random lead times" [Engineering Applications of Artificial Intelligence 22 (2009) 906-915]
Enhancing autism spectrum disorder early detection with parent-child dyads block-play protocol and attention-enhanced hybrid deep learning framework
Efficient human activity recognition: A deep convolutional transformer-based contrastive self-supervised approach using wearable sensors
Learning weakly correlated cause-effects for gardening with a cognitive system
Hardware opposition-based PSO applied to mobile robot controllers
A multi-modal model for removal of crack image shadow based on language prior information
Adaptive fuzzy sliding mode control of magnetic levitation system based on Interval Type-2 Fuzzy Neural Network Identification with an Extended Kalman-Bucy filter
Advancing interpretable cardiac disease diagnosis via a transformer-convolutional hybrid network on electrocardiograms
Computational intelligence-based approaches to fault-tolerant and self-healing control and maintenance of dynamic systems
Mamba enhanced you only look once network with multiscale spatial attention for remote sensing object detection
A crude oil price ensemble forecasting system based on outlier correction and adaptive error-compensation strategy
Domain adaptation based automatic identification method of vortex induced vibration of long-span bridges without prior information
Assessment of camouflage in heterogeneous environments through deep learning: Analyzing object patterns and effectiveness
Entropy-based fuzzy 1norm twin random vector functional link networks for binary class imbalance learning
A methodology for urban planning generation: A novel approach based on generative design
Event-driven spiking neural network based on membrane potential modulation for remote sensing image classification
Adaptive Adversarial Learning based cross-modal retrieval
Named entity recognition based on anchor span for manufacturing knowledge extraction
Multi-agent model based proactive risk management for equity investment
A self-adaptive evolutionary algorithm for a fuzzy multi-objective hub location problem: An integration of responsiveness and social responsibility
DSU-Net: Distraction-Sensitive U-Net for 3D lung tumor segmentation
Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Graph Neural Networks for multivariate time-series forecasting via learning hierarchical spatiotemporal dependencies
A polynomial-fuzzy-model-based synchronization methodology for the multi-scroll Chen chaotic secure communication system
A powerful hybrid clustering method based on modified stem cells and Fuzzy C-means algorithms
A looped-type functional for non-fragile fuzzy sampled-data control of doubly fed induction generator-based wind energy conversion systems with failures
2D and 3D curve modeling - multidimensional data recovery
Pattern recognition in multivariate time series - A case study applied to fault detection in a gas turbine
A hybrid optimization for coordinated control of distributed generations
Graph Dual-stream Convolutional Attention Fusion for precipitation nowcasting
Phased Noise Enhanced Multiple Feature Discrimination Network for fabric defect detection
Target recognition and localization of environmental perception system based on binocular cameras for unmanned cleaning vehicle
Optimal drug-dosing of cancer dynamics with fuzzy reinforcement learning and discontinuous reward function
DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks
A camouflage target classification method based on spectral difference enhancement and pixel-pair features in land-based hyperspectral images
Enhancing accuracy in fall detection and prediction for elderly individuals using ensemble wavelet neural network and maximal overlap discrete wavelet transform
Relaxed LMI conditions for closed-loop fuzzy systems with tensor-product structure
A hardware accelerator to support deep learning processor units in real-time image processing
Machine and deep learning methods in identifying malaria through microscopic blood smear: A systematic review
An algorithm for extracting similar segments of moving target trajectories based on shape matching
Taximeter verification using imprecise data from GPS
Neural network estimation of ground peak acceleration at stations along Taiwan high-speed rail system
Local connection reinforcement learning method for efficient robotic peg-in-hole assembly
A review of high-definition map creation methods for autonomous driving
A zero-shot anomaly detection network with patch-augmented prompts and test-time adaptation
Divide-and-conquer framework for image restoration and enhancement
Development of noise robust real time automatic speech recognition system for Kannada language/dialects
A gaze-driven manufacturing assembly assistant system with integrated step recognition, repetition analysis, and real-time feedback
An efficient eye detection and tracking system based on particle swarm optimization and adaptive block-matching search algorithm
Part-aware attention correctness for video salient object detection
Many-Objective Gradient-Based Optimizer to Solve Optimal Power Flow Problems: Analysis and Validations
A hybrid algorithm for time-dependent vehicle routing problem with soft time windows and stochastic factors
Integral reinforcement learning-based dynamic event-triggered safety control for multiplayer Stackelberg-Nash games with time-varying state constraints
Enhancing crop disease recognition via prompt learning-based progressive Mixup and Contrastive Language-Image Pre-training dynamic calibration
A physically informed neural network approach for modeling wave transformation in vegetated waters
Finding the underlying viscoelastic constitutive equation via universal differential equations and differentiable physics
Improved global motion estimation via motion vector clustering for video stabilization
Execution infrastructure for normative virtual environments
A simulation-optimization framework for enhancing robustness in bulk berth scheduling
Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring
A survey on automated melanoma detection
Optimization of blasting patterns in Esfordi phosphate mine using hybrid analysis of data envelopment analysis and multi-criteria decision making
Weakly supervised histopathology tissue semantic segmentation with multi-scale voting and online noise suppression
A novel technique for minimizing energy functional using neural networks
BrainSeek: A neural-driven deep semantic reasoning framework from functional magnetic resonance imaging signals
Review helpfulness prediction on e-commerce websites: A comprehensive survey
Wooden spoon crack detection by prior knowledge-enriched deep convolutional network
Wide residual quantum dilated convolutional neural network for zero-day attack detection
Classification of non-standard mechanical parts with graph convolutional networks
A robust integrated multi-strategy bus control system via deep reinforcement learning
Aircraft flight regime recognition with deep temporal segmentation neural network
Unmanned Aerial Vehicles anomaly detection model based on sensor information fusion and hybrid multimodal neural network
Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction
Robust RGB-D tracking via compact CNN features
Lightning risk assessment of offshore wind farms considering tropical cyclone impacts based on an improved gradient boosting algorithm
An adversarial transfer learning method based on domain distribution prediction for aero-engine fault diagnosis
Lite-UNet: A lightweight and efficient network for cell localization
A novel method for improving the robustness of deep learning-based malware detectors against adversarial attacks
Deploying data analytics models in asset administration shells: Energy prediction in manufacturing
IMS10-image-based milling toolpaths with tool engagement control for complex geometry
Efficient safe learning for controller tuning with experimental validation
Reinforcement Learning based scheduling in a workflow management system
Observer-based fixed-time adaptive fuzzy control for SbW systems with prescribed performance
Self-supervised anomaly detection and localization for X-ray cargo images: Generalization to novel anomalies
Blockchain and deep learning-enabled IoT device-to-device authentication approach for smart cities using 5th generation technology
Progressive cross-domain knowledge distillation for efficient unsupervised domain adaptive object detection
A novel integrated price and load forecasting method in smart grid environment based on multi-level structure
Multi-step control method of traffic flow data quality based on spatiotemporal similarity at video frame rate
Bio-inspired multi-agent systems for reconfigurable manufacturing systems
Optimizing neuro-fuzzy modules for data fusion of vehicular navigation systems using temporal cross-validation
Two coding based adaptive parallel co-genetic algorithm with double agents structure
Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems
Low-complexity joint transmit and receive antenna selection for MIMO systems
Efficient crack segmentation with multi-decoder networks and enhanced feature fusion
A small sample crop seed quality detection system based on spectral-image bimodal fusion technology
Iterative minority oversampling and its ensemble for ordinal imbalanced datasets
Artificial intelligence-powered precision: Unveiling the landscape of liver disease diagnosis - A comprehensive review
An efficient method for multi-view sheep face recognition
Intelligent identification of shale pores and minerals based on deep learning theory: Application of object detection technology in shale reservoir evaluation
Application of artificial intelligence models for assessing the performance of closed vertical refrigerated display cabinet - A comparative study of different operating scenarios
Integrated clustering and routing protocol for wireless sensor networks using Cuckoo and Harmony Search based metaheuristic techniques
A high-speed interval type 2 fuzzy system approach for dynamic parameter adaptation in metaheuristics
Enhancing healthcare supply chains: A comprehensive evaluation of lean, agile, resilient and green paradigms