yusuke1997/dblp-id-title huggingface dataset:
A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems
Extracting coarse-grained classifiers from large Convolutional Neural Networks
Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons
Ensemble learning for short circuit fault location estimation in distribution networks
Conformation of EPC Class 1 Generation 2 standards RFID system with mutual authentication and privacy protection
Bead nonlinear spiking neural P system for segmentation of multiple brain metastases at magnetic resonance imaging
Local sensitive discriminative broad learning system for hyperspectral image classification
Optimal placement of fixed hub height wind turbines in a wind farm using twin archive guided decomposition based multi-objective evolutionary algorithm
Underwater image dehazing using global color features
An adaptive decoding biased random key genetic algorithm for cloud workflow scheduling
Adaptive re-parameterization based on arbitrary scalar fields for shape optimization and surface fitting
LIDN: A novel light invariant image dehazing network
Collaborative multi-agent rock facies classification from wireline well log data
Multiple hierarchical compression for deep neural network toward intelligent bearing fault diagnosis
The Social Engineering Optimizer (SEO)
An effective information enhancement neural network with the optional localization mode for accurate water surface object detection
A hybrid adaptive Differential Evolution based on Gaussian tail mutation
Data expansion for industrial defect detection with diffusion prior
Early detection and classification of internal leakage in boom actuator of mobile hydraulic machines using SVM
Intelligent identification of power grid parameters based on dynamic weighting
Multi-size patch based collaborative representation for Palm Dorsa Vein Pattern recognition by enhanced ensemble learning with modified interactive artificial bee colony algorithm
Generative adversarial network-based imputation and personalized federated learning with Convolutional Neural Network-Long Short-Term Memory for air quality index prediction
Structural hole-based approach to control public opinion in a social network
End-to-end model for automatic seizure detection using supervised contrastive learning
Optimal dynamic wireless charging for on-road electric vehicle using resonant inverter and weighted optimized k-Nearest neighbor algorithm by incorporating parameter estimation
A hybrid genetic algorithm for the multi-depot vehicle routing problem
ENVQA: Improving Visual Question Answering model by enriching the visual feature
Breaking down multi-view clustering: A comprehensive review of multi-view approaches for complex data structures
Plant intelligence-based PILLO underwater target detection algorithm
Lane detection via disentangled representation network with slope consistency loss
Few-shot machine reading comprehension for bridge inspection via domain-specific and task-aware pre-tuning approach
A comprehensive survey and taxonomy of sign language research
A two-stage system proposal based on a type-2 fuzzy logic system for ergonomic control of classrooms and offices
Efficient fractional-order modified Harris hawks optimizer for proton exchange membrane fuel cell modeling
Local feature-based multi-object recognition scheme for surveillance
Application of practical fuzzy arithmetic to fuzzy internal model control
A self-interpretable deep learning network for early prediction of pathologic complete response to neoadjuvant chemotherapy based on breast pre-treatment dynamic contrast-enhanced magnetic resonance imaging
Automatic music mood classification using multi-modal attention framework
Diurnal emotions, valence and the coronavirus lockdown analysis in public spaces
A hierarchical network model for the estimate of the energy expenditure in individuals with type 1 diabetes
Classifying NIR spectra of textile products with kernel methods
Efficient three-way decision model based on Gaussian spherical fuzzy information granulation for medical diagnosis
A hybrid filtering for micro-video hashtag recommendation using graph-based deep neural network
RADDA-Net: Residual attention-based dual discriminator adversarial network for surface defect detection
The two-tier multi-depot vehicle routing problem with robot stations and time windows
A new approach to developing software projects by assigning teams to projects with interval-valued neutrosophic Z numbers
Improved Teaching Learning Algorithm with Laplacian operator for solving nonlinear engineering optimization problems
Short- and medium-term horizon photovoltaic power forecasting based on terrestrial solar radiation features
Fuzzy rules intelligent car real-time diagnostic system
Dual-stage interpretable domain generalization fault diagnosis: integrating prior knowledge and gradient-weighted class activation mapping
Mixed local channel attention for object detection
Deep reinforcement one-shot learning for artificially intelligent classification in expert aided systems
An interactively constrained discriminative dictionary learning algorithm for image classification
FMLGLN: Fast Multi-layer Graph Linear Network
Coordinating activities and change: An event-driven architecture for situated MAS
Internal combustion engine fuel synthesis, suitability, physical property evaluation using mixing models and backpropagation ANN algorithm
A parthenogenetic algorithm for single individual SNP haplotyping
Neuro-fuzzy networks and their application to fault detection of dynamical systems
Generative design of physical objects using modular framework
A computer vision-based crop and weed segmentation using federated ensemble learning in diverse multi-crop fields
Rule extraction for classification of acoustic emission signals using Ant Colony Optimisation
Agent-based distributed manufacturing control: A state-of-the-art survey
Digital twin-enabled 3D printer fault detection for smart additive manufacturing
Fabric defect detection via Explicit De-Background
Recurrent event query decoder for document-level event extraction
Informer learning framework based on secondary decomposition for multi-step forecast of ultra-short term wind speed
A deep patch network with spatiotemporal meta-parameter learning for soft sensor modeling of industrial processes
Fault diagnosis using novel AdaBoost based discriminant locality preserving projection with resamples
Vessel behavior recognition method for preventing vessel-bridge collisions via adaptive video analytics
Koopman-based predictive tracking control
Active Object Learning for intelligent social robots
A dynamic framework of multi-attribute decision making under Pythagorean fuzzy environment by using Dempster-Shafer theory
Toward optimum fuzzy support vector machines using error distribution
Robust optimal tuning of a reduced active disturbance rejection controller based on first order plus dead time model approximation
A highly robust automatic 3D reconstruction system based on integrated optimization by point line features
Accurate detection and characterization of sub-millimeter cracks using nonlinear ultrasonics-informed parallel multi-branch convolutional neural network
An integrated deep learning method and optimization algorithm framework for energy-saving steel billet heating
How to take into account piecewise constraints in constraint satisfaction problems
Diameter-adjustable mandrel for thin-wall tube bending and its domain knowledge-integrated optimization design framework
Task recognition integrating worker actions and machine operations: A video-based sensing approach without physical sensors
A novel robust approach for handling illumination changes in video segmentation
An adaptive lightweight small object detection method for incremental few-shot scenarios of unmanned surface vehicles
Confidence estimation of the multi-layer perceptron and its application in fault detection systems
Adaptive nonlinear recursive control based on normalized advantage neural network learning for large-scale cyber-physical power systems
Real-time point-cloud-based vehicle fleet monitoring system on the edge, edge computing, and deep learning technique
Dynamic token sampling for efficient unmanned aerial vehicles transformer tracking
Veracity handling and instance reduction in big data using interval type-2 fuzzy sets
Single-step prediction method of burning zone temperature based on real-time wavelet filtering and KELM
Advancements in deep learning and explainable artificial intelligence for enhanced medical image analysis: A comprehensive survey and future directions
Teach sample-specific knowledge: Separated distillation based on samples
A physics-informed global-local neural operator for parametric stochastic differential equations
MP and MT properties of fuzzy inference with aggregation function
Weighted class-aware matching adaptation network for aero-engine imbalanced multi-source cross-domain fault diagnosis under class shift
Predictive typing for the Persian language: A survey
Hybrid fuzzy MADM ranking procedure for better alternative discrimination
Sustainable driving operations of urban plugin hybrid buses considering restricted emission mapping zones
Hybrid physics-informed and data-driven predictive control strategy for active heave compensation in offshore crane-assisted ship-to-ship payload transfer
IGCRRN: Improved Graph Convolution Res-Recurrent Network for spatio-temporal dependence capturing and traffic flow prediction
Global and local interpretability techniques of supervised machine learning black box models for numerical medical data
RWFIM: Recent weighted-frequent itemsets mining
An integrated method of hotel site selection based on probabilistic linguistic multi-attribute group decision making
Automatic clustering by automatically generated algorithms
MIANet: Multi-level temporal information aggregation in mixed-periodicity time series forecasting tasks
Multi-echelon inventory optimization of waste electrical and electronic equipment closed-loop supply chain based on reinforcement learning under carbon tax policy
End-point detection of the aerobic phase in a biological reactor using SOM and clustering algorithms
A systematic review of artificial intelligence applications for indoor air quality monitoring in educational settings
Adaptable automation with modular deep reinforcement learning and policy transfer
Shape-independent model predictive control for Takagi-Sugeno fuzzy systems
Rotating machinery fault diagnosis based on one-dimensional convolutional neural network and modified multi-scale graph convolutional network under limited labeled data
MemMambaAD: Memory-augmented state space model for multivariate time series anomaly detection
Empirical method for developing a hyper-personalization artifact
An intelligent based decision support system for the detection of meat spoilage
Current status of hybrid structures in wind forecasting
Moving infrared dim and small target detection by mixed spatio-temporal encoding
Incremental forecaster using C-C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction
Robust and optimal epsilon-insensitive Kernel-based regression for general noise models
Radial basis functions with a priori bias as surrogate models: A comparative study
Development and implementation of a hybrid visual prediction algorithm for robotic smart tomato harvesting
Global-local adaptive resampling strategy for enhancing the performance of Physics-informed neural networks
Critical success factors for implementing artificial intelligence in construction projects: A systematic review and social network analysis
Two level time-aware network for clinical event prediction
Advances in evolutionary optimization based image processing
Data-driven torsional vibration-based fault diagnosis of large internal combustion engines without real fault data
Sequential hypothesis tests for streaming data via symbolic time-series analysis
Comprehensive evaluation of deep reinforcement learning for permanent magnet synchronous motor current tracking and speed control applications
Multimodal emotion recognition by fusing complementary patterns from central to peripheral neurophysiological signals across feature domains
Dual attention transformer network for hyperspectral image classification
Anti-vibration hammer defect detection based on structural knowledge representation
Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study
Knowledge-based self-tuning of PID control gains for continuum soft robots
Enhancing patient information performance in internet of things-based smart healthcare system: Hybrid artificial intelligence and optimization approaches
Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design
Knowledge-elicitation and data-mining: Fusing human and industrial plant information
Evolutionary Semi-Vectorial Bilevel Optimization in the mechanical and control design of systems
A multimodal shared network with a cross-modal distribution constraint for continuous emotion recognition
An application for plagiarized source code detection based on a parse tree kernel
Unsupervised deep domain adaptation algorithm for video based human activity recognition via recurrent neural networks
Rough controllers with state feedback
A self-training method based on fast binary bare-bones particle swarm optimization for semi-supervised classification
Deep learning-based 3D multigrid topology optimization of manufacturable designs
Multi-objective optimization of rail welded joint grinding in railroad tracks via reinforcement learning
Integrating overlapping community discovery and role analysis: Bayesian probabilistic generative modeling and mean-field variational inference
Neural network based tire/road friction force estimation
Perceiving Multiple Representations for scene text image super-resolution guided by text recognizer
A dual spatial temporal neural network for bottleneck prediction in manufacturing systems
An improved performance of reversible data hiding in encrypted images using decision tree algorithm
CVT on-line error measurement hybrid-driven by domain knowledge and Stacking Model
Estimating hydrocarbon recovery factor at reservoir scale via machine learning: Database-dependent accuracy and reliability
Interval-based global optimization in engineering using model reformulation and constraint propagation
WB-YOLO: An efficient wild bat detection method for ecological monitoring in complex environments
Parametric reconfiguration improvement in non-iterative concurrent mechatronic design using an evolutionary-based approach
A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition
Spatio-temporal attention based collaborative local-global learning for traffic flow prediction
Energy-saving light positioning using heuristic search
A two-stage data-driven metaheuristic to predict last-mile delivery route sequences
Keyword spotting in handwritten chinese documents using semi-markov conditional random fields
Fault diagnosis of mine main ventilator based on multi-eigenvalue selection and data fusion
Trace encoding in process mining: A survey and benchmarking
MAE-diff: Masked-AutoEncoder-Guided diffusion framework for source-free domain adaptive medical image segmentation
Estimation and prediction of the OD matrix in uncongested urban road network based on traffic flows using deep learning
MOIT: A Novel task for mining opinions towards implicit targets
Scheduling analysis of automotive glass manufacturing systems subject to sequence-independent setup time, no-idle machines, and permissive maximum total tardiness constraint
Rolling bearings remaining useful life estimation using digital twin and physics-informed methods with uncertainty quantification
Multi-scale target detection of metal surface defects in additive manufacturing based on reinforcement learning
A multimodal gait and ocular geometric representation to generate a Parkinson progression report
CSPNeXt: A new efficient token hybrid backbone
Enhanced recognition of insulator defects on power transmission lines via proposal-based detection model with integrated improvement methods
Adaptive cybersecurity in bio-medical modules: A dynamic programming neural network-based protection for Markov-chain fabricated data attacks
A systematic overview of health indicator construction methods for rotating machinery
VectorSketcher: Learning to create a vector-based free-hand sketch
An edge-guided defect segmentation network for in-service aerospace engine blades
Sports video retrieval and classification using focus u-net based squeeze excitation and residual mapping deep learning model
Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks
Identification of grape leaf diseases based on VN-BWT and Siamese DWOAM-DRNet
A global constraint for total weighted completion time for cumulative resources
A transferable framework for cross-city forecasting via invariant structural knowledge learning
Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor
Review of artificial neural networks-contribution methods integrated with structural equation modeling and multi-criteria decision analysis for selection customization
Health indicator modeling leveraging time-independent and time-dependent subtasks with adaptive standardization and physics-based Bayesian optimization for aeronautical structures
Evolutionary computing based mobile robot localization
Weighted nonlinear information extension based time series Kolmogorov-Arnold Network for industrial application with soft sensing
Microgrid control under uncertainty
Water level identification with laser sensors, inertial units, and machine learning
HT-AggNet: Hierarchical temporal aggregation network with near-zero-cost layer stacking for human activity recognition
Collaborative dual-harmonization reconstruction network for large-ratio cloud occlusion missing information in high-resolution remote sensing images
Hypergraph temporal multi-behavior recommendation
Monocular depth estimation using self-supervised learning with more effective geometric constraints
Performing in-situ analytics: Mining frequent patterns from big IoT data at network edge with D-HARPP
Intelligent optimization of electrical discharge machining parameters for Inconel 718 using Taguchi Grey relational analysis and fuzzy logic
Linguistic Pythagorean fuzzy CRITIC-EDAS method for multiple-attribute group decision analysis
Low-light image enhancement network based on central difference convolution
Credit risk assessment of automobile loans using machine learning-based SHapley Additive exPlanations approach
Ship course-keeping in waves using sample-efficient reinforcement learning
Low-cost and sparsity for continual semantic segmentation
Document-level relation extraction with multi-layer heterogeneous graph attention network
Development of an obstacle avoiding autonomous vehicle by using stereo depth estimation and artificial intelligence based semantic segmentation
Quantifying algorithmic discrimination: A two-dimensional approach to fairness in artificial intelligence
Classifying carpets based on laser scanner data
Improvements in the accuracy of an Inverse Problem Engine's output for the prediction of below-knee prosthetic socket interfacial loads
Group of components detection in engineering drawings based on graph matching
Automated insomnia detection using wavelet scattering network technique with single-channel EEG signals
A hybrid semantic attribute-based zero-shot learning model for bearing fault diagnosis under unknown working conditions
Evaluating strength properties of Eco-friendly Seashell-Containing Concrete: Comparative analysis of hybrid and ensemble boosting methods based on environmental effects of seashell usage
Prediction of dose escalation for rheumatoid arthritis patients under infliximab treatment
Motion planning for 7-degree-of-freedom bionic arm: Deep deterministic policy gradient algorithm based on imitation of human action
A neural network transformer model for composite microstructure homogenization
General structure of Interval Type-2 fuzzy PI/PD controller of Takagi-Sugeno type
Test case generation using improved differential evolution algorithms with novel hypercube-based learning strategies
NPV-based decision support in multi-objective design using evolutionary algorithms
Hybrid knowledge representation in a blackboard KBS for liquid retaining structure design
A novel grey model based on fractional derivative and self-adaptive reverse accumulation and its application in energy forecasting
DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques
Korean football in-game conversation state tracking dataset for dialogue and turn level evaluation
Uncovering the geometry-dependent optical asymmetry of gold nanorods helical assemblies using artificial neural networks
DCServCG: A data-centric service code generation using deep learning
A novel damage identification algorithm by combining the boundary element method and a series connection neural network
Spatiotemporal graph neural network for multivariate multi-step ahead time-series forecasting of sea temperature
Extended pheromone-based short-term traffic forecasting models for vehicular systems
Aggregate Reinforcement Learning for multi-agent territory division: The Hide-and-Seek game
Identifying fake reviews for refund purposes: Evaluating the effectiveness of a transfer-learning model against emerging Large Language Models
Synthetic Aperture Radar image analysis based on deep learning: A review of a decade of research
Model-free output feedback optimal tracking control for two-dimensional batch processes
Opportunities and pitfalls of regression algorithms for predicting the residual value of heavy equipment - A comparative analysis
Enhanced pediatric pneumonia auxiliary diagnosis: Integrating optical fiber vibration sensing with machine learning
Attention gate guided multiscale recursive fusion strategy for deep neural network-based fault diagnosis
Thorax and internal organs boundary geometries determination using Convolutional Neural Networks in Electrical Impedance Tomography
Enhancing scene understanding based on deep learning for end-to-end autonomous driving
An efficient and robust negotiating strategy in bilateral negotiations over multiple items
Chaotic secure communication based on a gravitational search algorithm filter
Cyclical weighting: A new training strategy for long-tailed recognition
Unsupervised single image-based depth estimation powered by coplanarity-driven disparity derivation
A sampling interval-adaptive transformer for industrial time sequence modeling with heterogeneou s sampling rates in quality prediction
Analysis on fetal phonocardiography segmentation problem by hybridized classifier
PRAT: Accurate object tracking based on progressive attention
An axiomatic fuzzy set theory-based fault diagnosis approach for rolling bearings
Cooperative co-evolution of GA-based classifiers based on input decomposition
Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems
A physical-modulated framework for process optimization and shape inference of industrial metal tube
Cross-modal misalignment-robust feature fusion for crowd counting
An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions
Anatomically accurate cardiac segmentation using Dense Associative Networks
Bridging control and artificial intelligence theories for diagnosis: A survey
Improved variational mode decomposition for combined imbalance-and-misalignment fault recognition and severity quantification
A Pythagorean language neutrosophic set method for the evaluation of water pollution control technology in pulp and paper industry