yusuke1997/dblp-id-title huggingface dataset:
A novel data clustering algorithm using heuristic rules based on k-nearest neighbors chain
Structuring and reusing knowledge from historical events for supporting nuclear emergency and remediation management
Machine Learning for public transportation demand prediction: A Systematic Literature Review
Evolutionary feature selection on high dimensional data using a search space reduction approach
An evolutionary approach comprising tailor-made variation operators for rescue unit allocation and scheduling with fuzzy processing times
Incorporating domain knowledge into reinforcement learning to expedite welding sequence optimization
Enhancing the effectiveness of emergency department computed tomography scans using pre-trained language models
Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition
Artificial neural network integrated SHapley Additive exPlanations modeling for sodium dichromate formation
Dual hesitant fuzzy Correlation coefficient-based decision-making algorithm and its applications to Engineering Cost Management problems
Multi-source data ensemble for energy price trend forecasting
Assessment of the running resistance of a diesel passenger train using evolutionary bilevel algorithms and operational data
Generating core domain ontologies from normalized dictionaries
Committee of Multi-scale Nonlinear Learning Frameworks for accurate stock price forecasting
A bidirectional graph neural network for traveling salesman problems on arbitrary symmetric graphs
Deep nested algorithm unrolling learning for inverse problems with its application in electrical capacitance tomography
A novel Complementary Dual-aware Network for point cloud classification
A qualitative systematic review of metaheuristics applied to tension/compression spring design problem: Current situation, recommendations, and research direction
A novel failure mode and effect analysis model based on extended interval-valued q-rung orthopair fuzzy approach for risk analysis
One-dimensional input space modelling of a simplified general type-2 Mamdani and Takagi-Sugeno Fuzzy Proportional Integral Derivative controller
Frequency-domain physical constrained neural network for nonlinear system dynamic prediction
Pattern diagnosis for stochastic discrete event systems
A review of state-of-the-art techniques for abnormal human activity recognition
Parallel scalable hardware implementation of asynchronous discrete particle swarm optimization
Artificial neural networks for mass transfer and bioconvection analysis in radiative Eyring-Powell flow over a convective cylinder surface: Application to microbial fuel cells
A novel parallel multi-swarm algorithm based on comprehensive learning particle swarm optimization
A novel neural network method for solid mechanics problems of heterogeneous bars
M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion
subGE: Enhancing the subgraph representation of molecular compounds structure-activity relationship discovery
Writer recognition enhancement by means of synthetically generated handwritten text
Multiple model extended continuous ant colony filter applied to real-time wind estimation in a fixed-wing UAV
Physically interpretable Stockwell weight initialization and adaptive fusion average threshold for intelligent fault diagnosis of rolling bearing under noisy environment
A behavioral multi-agent model for road traffic simulation
Emotion space modelling for social robots
A non-negative garrote shrinkage network with adaptive Swish for rotating machinery fault diagnosis under noisy environment
Dual seismic image collaborative recognition algorithm based on deep learning
Explainable deep learning model with the internet of medical devices for early lung abnormality detection
Significant wave height and energy flux range forecast with machine learning classifiers
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm
Application of wearable sensors for human gait analysis using fuzzy computational algorithm
An improved discrete bat algorithm for symmetric and asymmetric Traveling Salesman Problems
Multiple local domains transfer network for equipment fault intelligent identification
A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem
Application of neuro-fuzzy ensembles across domains: A systematic review of the two last decades (2000-2022)
Query-induced multi-task decomposition and enhanced learning for aspect-based sentiment quadruple prediction
Complementary knowledge augmented multimodal learning method for yarn quality soft sensing
Predicting customer absence for automobile 4S shops: A lifecycle perspective
TALK: Tracking Activities by Linking Knowledge
A novel localization algorithm integrated with sensor fusion for position estimation of mobile robot in the road following and roundabout environment
An efficient multilateral negotiation system for pervasive computing environments
A multitask learning-based fault detection approach for high impedance fault in resonant distribution networks
A machine learning-Powered digital twin framework for adaptive management of urban air quality in Chiang Mai, Northern Thailand
Real-time prediction of axial force in concrete-filled steel tubular columns under fire conditions using modular artificial intelligence techniques
A social network analysis-based model for failure mode and effect analysis under linguistic preference relation environment
A novel approach to skin lesion segmentation using transformer attention and focal modulation
Graph neural networks and implicit neural representation for near-optimal topology prediction over irregular design domains
Kalman filter-based method for Online Sequential Extreme Learning Machine for regression problems
A novel policy gradient algorithm with PSO-based parameter exploration for continuous control
Flow regime identification from acoustic sensors in pipe flow using deep neural networks
A dimensional tolerancing knowledge management system using Nested Ripple Down Rules (NRDR)
Three-dimensional facial surface modeling applied to recognition
Reconstructing causal networks from data for the analysis, prediction, and optimization of complex industrial processes
Sample-to-sample correspondence for unsupervised domain adaptation
SFANet: Semantic feature aware for domain generalized semantic segmentation
Using weighted genetic programming to program squat wall strengths and tune associated formulas
CNCAN: Contrast and normal channel attention network for super-resolution image reconstruction of crops and weeds
Robust control of human-machine collaborative steering based on driver preview characteristics
Constraint-based rostering using meta-level reasoning and probability-based ordering
AgriDet: Plant Leaf Disease severity classification using agriculture detection framework
LayoutQT - Layout Quadrant Tags to embed visual features for document analysis
Multi-sentiment fusion for stock price crash risk prediction using an interpretable ensemble learning method
Erasure-based interaction network for red-green-blue and thermal object detection and a unified benchmark
Development of a fuzzy goal programming model for optimization of lead time and cost in an overlapped product development project using a Gaussian Adaptive Particle Swarm Optimization-based approach
Learning fair representations for accuracy parity
Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning
Accelerating topology optimization using deep learning-based image super-resolution
Accurate diagnosis of induction machine faults using optimal time-frequency representations
Feature selection for packer classification based on association rule mining
A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market
Explainable artificial intelligence based microscopic peripheral blood cell image classification by exploiting quadradic convex optimization
Identifying nonlinear roll damping and restoring parameters via physics-informed neural network
SAFE-Net: Multi-head attention enhanced framework for defect detection in anti-corrosion coatings on steel structures
A safe multi-agent reinforcement learning algorithm using constraint update projection approach
ASDS-you only look once version 8: A real-time segmentation method for cross-scale prefabricated laminated slab components
Unsupervised motion-based anomaly detection with graph attention networks for industrial robots labeling
Airport detection in remote sensing real-open world using deep learning
Hyperspectral image mixed noised removal via jointly spatial and spectral difference constraint with low-rank tensor factorization
Design of optimal high pass and band stop FIR filters using adaptive Cuckoo search algorithm
Statistical inference in a redesigned Radial Basis Function neural network
A dynamic fuzzy video compression control algorithm for wireless Advanced Driver Assistance Systems
Maintenance decision-making model for gas turbine engine component considering the inspection threshold and partial repair
Quantized kernel recursive minimum error entropy algorithm
Dictionary domain adaptation transformer for cross-machine fault diagnosis of rolling bearings
Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning
Improved undamaged-to-damaged acceleration response translation for Structural Health Monitoring
A Bayesian-physical informed conditional tabular generative adversarial network framework for low-carbon concrete data augmentation and hyperparameter optimization
A predictive model for the maintenance of industrial machinery in the context of industry 4.0
Application of artificial intelligence to predict energy consumption and thermal efficiency of hybrid convection-radiation dryer for garlic slices
Exploring Design smells for smell-based defect prediction
Distributed deep reinforcement learning-based gas supply system coordination management method for solid oxide fuel cell
An adaptive hybrid surrogate model for FEA of telescopic boom of rock drilling jumbo
Learning-based airborne sensor task assignment in unknown dynamic environments
PAVAL: A location-aware virtual personal assistant for retrieving geolocated points of interest and location-based services
Human-in-the-loop for computer vision assurance: A survey
Embedded holonic fault diagnosis of complex transportation systems
A survey of dynamic replication and replica selection strategies based on data mining techniques in data grids
Time-dependent compressibility characteristics of soil: Experimental and integrated machine learning framework
Convolutional-LSTM networks and generalization in forecasting of household photovoltaic generation
Imbalanced tabular data modelization using CTGAN and machine learning to improve IoT Botnet attacks detection
A multi-threshold approach and a realistic error measure for vanishing point detection in natural landscapes
Anomaly detection in offshore open radio access network using long short-term memory models on a novel artificial intelligence-driven cloud-native data platform
An improved you only look once model for the multi-scale steel surface defect detection with multi-level alignment and cross-layer redistribution features
Multi-modal feature integration network for Visible-Depth-Thermal salient object detection
Geometric score function of Pythagorean fuzzy numbers determined by the reliable information region and its application to group decision-making
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai'i
A double-region learning algorithm for counting the number of pedestrians in subway surveillance videos
Q-learning and hyper-heuristic based algorithm recommendation for changing environments
Twin support vector machines and subspace learning methods for microcalcification clusters detection
Development of feature extraction method based on interval-valued Pythagorean fuzzy decision theory
A commercial vehicle weight prediction method based on driving simulation data
A multi-start iterated local search with tabu list and path relinking for the two-echelon location-routing problem
Exploring cross-branch information for semi-supervised remote sensing object detection
On the problem of early detection of users interaction outbreaks via stochastic differential models
Modified Sauvola binarization for degraded document images
Applications of machine vision technology for conveyor belt deviation detection: A review and roadmap
Revolutionizing bioconvection: Artificial intelligence-powered nano-encapsulation with oxytactic microorganisms
Learning adaptive distractor-aware-suppression appearance model for visual tracking
Exploring comprehensible classification rules from trained neural networks integrated with a time-varying binary particle swarm optimizer
A new multi-objective differential evolution approach for simultaneous clustering and feature selection
A ship-radiated noise classification method based on domain knowledge embedding and attention mechanism
Candidate ratio guided proximal policy optimization
A study of the efficacy of generative flow networks for robotics and machine fault-adaptation
An improved intelligent water drops algorithm for solving multi-objective job shop scheduling
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets
Modelling of plane strain compression (PSC) test for aluminium alloys using finite elements and fuzzy logic
A few-shot enhancement method for railway foreign object detection using sample generation and transfer learning
Deep learning-based modelling of polyvinyl chloride tube-confined concrete columns under different load eccentricities
Digital Twin for Continual Learning in Location Based Services
Multiple-attribute decision making based on equivalence consistency under probabilistic linguistic dual hesitant fuzzy environment
ABC-Learning: Attention-Boosted Contrastive Learning for unsupervised person re-identification
Multi-source contrastive cluster center method for cross-domain bearing fault identification
Dynamic-demand vulnerability analysis of water networks using a two-index neural network algorithm
StrokeViT with AutoML for brain stroke classification
SEMeL-LR: An improvised modeling approach using a meta-learning algorithm to classify breast cancer
A wavelet-based image denoising using least squares support vector machine
Dynamic momentum contrastive learning network for diabetic retinopathy grading
Multi-scale features with temporal information guidance for video captioning
Performance prediction and Bayesian optimization of screw compressors using Gaussian Process Regression
Lazy deep Q networks for unified rotor angle stability framework with unified time-scale of power systems with mass distributed energy storage
Robust underwater imaging model and automatic parameter optimization for underwater image restoration
Interactive streaming feature selection based on neighborhood rough sets
Metric learning-based generalized Gaussian kernel for nonlinear classification
Leveraging a predictive model of the workload for intelligent slot allocation schemes in energy-efficient HPC clusters
The predictability of the effectiveness of chains of classifiers in the out-of-domain detection
Harmony better than uniformity: A new pre-training anomaly detection method with tensor domain adaptation for early fault evaluation
Event-triggered predefined-time output feedback fuzzy adaptive control of permanent magnet synchronous motor systems
Peridynamic-driven feature-enhanced Vision Transformer for predicting defects and heterogeneous materials locations: Applications of deep learning in inverse problems
Low power FIR filter design using modified multi-objective artificial bee colony algorithm
TSN-based routing and scheduling scheme for Industrial Internet of Things in underground mining
Online set-point optimisation cooperating with predictive control of a yeast fermentation process: A neural network approach
Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease
Efficient kriging-based wall deflection prediction in braced excavation considering model and measurement errors
Long-term joint scheduling of hydropower station group in the upper reaches of the Yangtze River using partition parameter adaptation differential evolution
Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking
Aerial combat maneuvering policy learning based on confrontation demonstrations and dynamic quality replay
Urban traffic volume estimation using intelligent transportation system crowdsourced data
Predicting soil water retention curves using machine learning: A study of model architecture and input variables
PASTS: Progress-aware spatio-temporal transformer speaker for vision-and-language navigation
Prediction and rationality analysis of new energy vehicle sales in China with a novel intelligent buffer operator
RANCOM: A novel approach to identifying criteria relevance based on inaccuracy expert judgments
Uncertainty-propagated Cartesian coordinated human-robot collaboration on Riemannian manifold with hidden state-space model
A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery
Adaptive Kalman-Informed Transformer
Artificial Neural Network-based digital twin for a flat plate solar collector field
MSE-Net: A novel master-slave encoding network for remote sensing scene classification
Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model
Multi-agent based collaborative fault detection and identification in chemical processes
A binary particle swarm optimization with dual encoding mechanism for feature selection
Co-optimizing for task performance and energy efficiency in evolvable robots
Manufacturing time estimation for offer pricing: A machine learning application in a French metallurgy industry
Semantic Text Kernels: A hybrid interpretable framework for deep semantic analysis in textual data
Effective recognition of MCCs in mammograms using an improved neural classifier
Prediction based mean-value-at-risk portfolio optimization using machine learning regression algorithms for multi-national stock markets
An intuitionistic fuzzy multi-distance based evaluation for aggregated dynamic decision analysis (IF-DEVADA): Its application to waste disposal location selection
Tracking the weld seam under strong interference in laser-arc hybrid welding via a novel local-add U-net
Photovoltaic system modeling and forecasting techniques: A survey
Multi-scale Feature Refinement via Perspective Scaling and Adaptive Regularization for text-based person search
Generalized Dombi-based probabilistic hesitant fuzzy consensus reaching model for supplier selection under healthcare supply chain framework
Recognition of driving postures by multiwavelet transform and multilayer perceptron classifier
A hybrid fuzzy decision-making framework for methodological analysis of barriers to low-carbon technology adoption in net-zero manufacturing supply chains
Parallel social spider clustering algorithm for high dimensional datasets
Online human motion analysis in industrial context: A review
Real-time inner wall surface defect detection based on multi-morphological feature fusion network
A prospect theory-based MABAC algorithm with novel similarity measures and interactional operations for picture fuzzy sets and its applications
A belief Hellinger distance for D-S evidence theory and its application in pattern recognition
On efficient multistep non-linear time series prediction in chaotic diode resonator circuits by optimizing the combination of non-linear time series analysis and neural networks
Multi-node load forecasting based on multi-task learning with modal feature extraction
Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks
Identification of multiple-input and single-output Hammerstein controlled autoregressive moving average system based on chaotic dynamic disturbance sand cat swarm optimization
Concurrent multi-process graph-based design component synthesis: Framework and algorithm
Toward predicting the performance of novice CAD users based on their profiled technical attributes
Incorporating stock prices and text for stock movement prediction based on information fusion
Deep learning in electrical utility industry: A comprehensive review of a decade of research
The Power Line Inspection Software (PoLIS): A versatile system for automating power line inspection
A Multi-Criteria Decision Framework for network selection over LTE and WLAN
Neuromorphic electronics for robotic perception, navigation and control: A survey
Research on Fake News Detection Based on Dual Evidence Perception
A bilevel coevolution framework with knowledge transfer for large-scale optimization and its application in multiperiod economic dispatch
A methodology for developing intelligent product manuals
Physically interpretable discrete latent representations for the design of advanced mechanical metamaterials in complex geometries
Label-guided graph learning network via two-stage cross-modal fusion for multi-label skin disease diagnosis
A real-time vehicle detection method in unmanned aerial vehicle images with selective contextual features
Identification of nonlinear systems using adaptive variable-order fractional neural networks (Case study: A wind turbine with practical results)
A neuro-fuzzy approach to fast ferry vertical motion modelling
An adaptive gravitational search algorithm for optimizing mechanical engineering design and machining problems
Long-term self-supervised learning for accelerometer-based sleep-wake recognition
A novel probabilistic intuitionistic fuzzy set based model for high order fuzzy time series forecasting
Refraction-learning-based whale optimization algorithm for high-dimensional problems and parameter estimation of PV model
Strength and durability predictions of ternary blended nano-engineered high-performance concrete: Application of hybrid machine learning techniques with bio-inspired optimization
Block information strategy for multi-modal remote sensing image registration
Determining optimal sensor locations in freeway using genetic algorithm-based optimization
Corrigendum to "Multi-objective optimization of lightweight and crashworthiness of automotive front-end structures based on stacked regression surrogate" [Eng. Appl. Artific. Intellig. 155 (2025) 111138]
Genetic algorithms based robust frequency estimation of sinusoidal signals with stationary errors
ICA-Net: Industrial defect detection network based on convolutional attention guidance and aggregation of multiscale features
A dynamic support ratio of selected feature-based information for feature selection
Advanced fetal cerebellar vermis segmentation and gestational age prediction in ultrasound imaging for prenatal neural development assessment
A novel probabilistic linguistic decision-making method with consistency improvement algorithm and DEA cross-efficiency
Flow field reconstruction and prediction of the two-dimensional cylinder flow using data-driven physics-informed neural network combined with long short-term memory
Cascade of convolutional models for few-shot automatic cephalometric landmarks localization
A novel dual-channel model with adaptive multi-scale attention for time series forecasting
Supplier selection through interval type-2 trapezoidal fuzzy multi-attribute group decision-making method with logarithmic information measures
Two-stage credibility-constrained programming with Hurwicz criterion (TCP-CH) for planning water resources management
Neural networks in virtual reference tuning
A graph convolutional neural network model based on fused multi-subgraph as input and fused feature information as output
An Adaptive Image Dehazing Network with Multi-Color Feature for Complex Real-World Hazy Scenes