yusuke1997/dblp-id-title huggingface dataset:
Three-stage unsupervised learning approach fusing novel pseudo-label diffusion and math-physics translating for real-time structural damage detection
Deep stacked pinball transfer matrix machine with its application in roller bearing fault diagnosis
Deep learning-accelerated multiple design generation for sound-absorbing metaporous materials
Hybrid modelling and identification of mechanical systems using Physics-Enhanced Machine Learning
Towards machinery incremental fault diagnosis based on inverted transformer lifelong learning with learnable pruning mechanism
Learning automatic navigation control skills for miniature helical robots from human demonstrations
Multiscale fuzzy Kalman filtering
Network-based exploratory data analysis and explainable three-stage deep clustering for financial customer profiling
Transfer learning approach for identifying negative sentiment in tweets directed to football players
A search space reduction methodology for data mining in large databases
Block attention network: A lightweight deep network for real-time semantic segmentation of road scenes in resource-constrained devices
An artificial bee colony with diversified operators for energy-efficient hybrid flow shop scheduling with batch processing machines
Application of support vector machines to bandwidth reservation in sectored cellular communications
How to help seismic analysts to verify the French seismic bulletin?
A T-S fuzzy model identification approach based on evolving MIT2-FCRM and WOS-ELM algorithm
Trajectory planning for a 6-axis robotic arm with particle swarm optimization algorithm
mmSignature: Semi-supervised human identification system based on millimeter wave radar
Three-dimensional human pose estimation based on multi-scale spatial-temporal transformer
An efficient stochastic hybrid heuristic for flowshop scheduling
P2CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k-barriers for intrusion detection
Multi-view rotating machinery fault diagnosis with adaptive co-attention fusion network
Quantifying the trustworthiness of explainable artificial intelligence outputs in uncertain decision-making scenarios
Enhancing the sustainability and effectiveness of non-governmental organizations: An integrated neutrosophic decision-making model for determining the most effective corporate governance strategies
Error model-oriented vibration suppression control of free-floating space robot with flexible joints based on adaptive neural network
Graph neural networks for per- and poly-fluoroalkyl substances concentration prediction in water supply wells
A synthetic aperture radar small ship detector based on transformers and multi-dimensional parallel feature extraction
WGformer: A Weibull-Gaussian Informer based model for wind speed prediction
High performance concrete compressive strength forecasting using ensemble models based on discrete wavelet transform
Certainty-enhanced dual-teacher fusion for source-free domain adaptation in fundus image segmentation
The artificial tree (AT) algorithm
Local and Long-range Convolutional LSTM Network: A novel multi-step wind speed prediction approach for modeling local and long-range spatial correlations based on ConvLSTM
Enhancing smart grid resilience with deep learning anomaly detection prior to state estimation
Reducing power companies billing costs via empirical bayes and seasonality remover
Design and analysis of an unbiased intelligent recommendation system for all-rounders in cricket based on multiple criteria decision making
Attentive contrast deep neural network for imbalanced credit scoring
Visual Tracking based on deformable Transformer and spatiotemporal information
Sustainable PLM through Intelligent Products
Machine learning -driven predictions of lattice constants in ABX3 Perovskite Materials
Intelligent multiobjective optimization for high-performance concrete mix proportion design: A hybrid machine learning approach
Machine learning methods for predicting shoreline change from submerged breakwater simulations
Ambient Intelligence in Product Life-cycle Management
Deep learning-based real-time estimation of transcranial focused ultrasound acoustic field
Frequency-prompt guided spectral-spatial transformer for hyperspectral image classification
Likelihood-based agreement measurements with Pythagorean fuzzy paired point operators to enrichment evaluations and priority determination for an uncertain decision-theoretical analysis
Simplified probabilistic linguistic preference relation in decision making
Layer-wise feature refinement for accurate three-dimensional lane detection with enhanced bird's eye view transformation
A hybrid neural network model for shale gas production prediction considering production plans and produced water
Finite-interval-valued Type-2 Gaussian fuzzy numbers applied to fuzzy TODIM in a healthcare problem
Robust design of multi-agent system interactions: A testing approach based on pattern matching
A survey on abnormal behavior detection based intelligence information video surveillance system using optimized machine learning methods
The energy-exergy-environmental-economic analysis and applying machine learning to study and optimize the moderate to intense low-oxygen dilution combustion
AdapterFusion-based multi-task learning for code-mixed and code-switched text classification
An enhanced framework for small object detection with middle-order interaction and adaptive cross-scale aggregation
TCAMixer: A lightweight Mixer based on a novel triple concepts attention mechanism for NLP
Heat production optimization using bio-inspired algorithms
Spiking neural network-based multi-task autonomous learning for mobile robots
An industrial disaster emergency decision-making based on China's Tianjin city port explosion under complex probabilistic hesitant fuzzy soft environment
Smart home healthcare using artificial intelligence of things: Emergency prediction and prevention for cerebrovascular disease patients
A novel multivariate filter method for feature selection in text classification problems
Machine learning-based acoustic emission technique for corrosion-induced damage monitoring in reinforced concrete structures
Agent-oriented methods for engineering complex distributed systems
LiDAR-camera fusion: Dual transformer enhancement for 3D object detection
Fuzzy reinforcement learning prescribed-time algorithm for the rigid-flexible coupled robotic mechanisms with input deadzone
Robust nonlinear control of permanent magnet synchronous motor drives: An evolutionary algorithm optimized passivity-based control approach with a high-order sliding mode observer
Universum driven cost-sensitive learning method with asymmetric loss function
Recognition of handwritten characters using local gradient feature descriptors
Learning unsupervised disentangled skill latents to adapt unseen task and morphological modifications
Wi-Fi sensing based person identification and activity recognition using two-phase deep learning model
A corpus-based semantic kernel for text classification by using meaning values of terms
Fuzzy decision-making approach of hobbing tool and cutting parameters
A modified adaptive large neighborhood search algorithm for serial-batching machines scheduling considering changeover time and rate-modifying activities
Dual-branch feature Reinforcement Transformer for preoperative parathyroid gland segmentation
Classification and rating of steel scrap using deep learning
A bearing fault diagnosis method for sample imbalance
A binary linear predictive evolutionary algorithm with feature analysis for multiobjective feature selection in classification
MEFNET: Multi-expert fusion network for RGB-Thermal semantic segmentation
Cognitive validation map for early occupancy detection in environmental sensing
Efficiently updating the discovered high average-utility itemsets with transaction insertion
Reinforcement learning based on multi agent value distribution for beamforming optimization in cellular networks
A multi-scale feature and cross-domain fusion network for image tampering localization
Reinforcement Learning in Manufacturing Control: Baselines, challenges and ways forward
Energy-efficient production scheduling through machine on/off control during preventive maintenance
Resilient object detection for autonomous vehicles: Integrating deep learning and sensor fusion in adverse conditions
GCCF: A lightweight and scalable network for underwater image enhancement
Rule extraction by fuzzy modeling algorithm for fuzzy logic control of cisatracurium as a neuromuscular block
A bipolar neutrosophic combined compromise solution-based hybrid model for identifying blockchain application barriers and Benchmarking consensus algorithms
An ALBERT-based TextCNN-Hatt hybrid model enhanced with topic knowledge for sentiment analysis of sudden-onset disasters
Voltage control of DC-DC converters through direct control of power switches using reinforcement learning
ESDMR-Net: A lightweight network with expand-squeeze and dual multiscale residual connections for medical image segmentation
A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns
Multi-component controllable diversified augmentation of industrial images based on feature disentanglement
Event-triggered predefined-time tracking control for high-order nonlinear systems with time-varying actuator failures and uncertain disturbances
Backward Q-learning: The combination of Sarsa algorithm and Q-learning
How to cope with unmeasurable premise variables in Takagi-Sugeno observer design: Dynamic extension approach
SinkFlow: Fast and traceable root-cause localization for multidimensional anomaly events
A knowledge-guided reinforcement learning method for lateral path tracking
Multi-objective modeling of price and pollution in large-scale energy hubs with load management
Development of a self-tuning fuzzy logic controller for intelligent control of elevator systems
Evaluation of deep learning approaches for oil & gas pipeline leak detection using wireless sensor networks
PCB defects target detection combining multi-scale and attention mechanism
Adaptive control design using stability analysis and tracking errors dynamics for nonlinear square MIMO systems
Exploring the trade-off between performance and annotation complexity in semantic segmentation
Human-like mechanism deep learning model for longitudinal motion control of autonomous vehicles
MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation
A novel modular Q-learning architecture to improve performance under incomplete learning in a grid soccer game
Compressors quantitative health assessment based on local spatial-temporal relations and moving graph convolutional network
Review of artificial intelligence for enhancing intrusion detection in the internet of things
From time-series to 2D images for building occupancy prediction using deep transfer learning
Smart grid security through fusion-enhanced federated learning against adversarial attacks
Irregular cellular learning automata-based algorithm for sampling social networks
Gait-based age group classification with adaptive Graph Neural Network
A comprehensive comparison among metaheuristics (MHs) for geohazard modeling using machine learning: Insights from a case study of landslide displacement prediction
A neural network based efficient leader-follower formation control approach for multiple autonomous underwater vehicles
An investigation on implementation of generating adversarial network-based surrogate models for prediction of turbine endwall film cooling effectiveness
An efficient multilayer adaptive self-organizing modeling methodology for improving the generalization ability of organic Rankine cycle (ORC) data-driven model
Real-time multi-factory scheduling in Industry 4.0 with virtual alliances
Traffic classification using distributions of latent space in software-defined networks: An experimental evaluation
Energy-efficiency prediction of fluid machinery based on knowledge-aided ensemble learning
Greedy-AutoML: A novel greedy-based stacking ensemble learning framework for assessing soil liquefaction potential
Anomaly detection in distributed systems based on Spatio-Temporal Causal Inference
Change detection in SAR images by artificial immune multi-objective clustering
Nonlinear system identification: From multiple-model networks to Gaussian processes
Integrating color cues to improve multimodal sentiment analysis in social media
MFLSCI: Multi-granularity fusion and label semantic correlation information for multi-label legal text classification
A study on sustainable system for managing municipal solid waste through a multi-criteria group decision-making technique
A property perceived service quality evaluation method for public buildings based on multisource heterogeneous information fusion
Human flow recognition using deep networks and vision methods
Discriminative transfer regression for low-rank and sparse subspace learning
AnoFed: Adaptive anomaly detection for digital health using transformer-based federated learning and support vector data description
Extending process automation systems with multi-agent techniques
Review of swarm intelligence-based feature selection methods
Application of latent variable models for hidden pattern identification and machine learning prediction improvement in structural engineering
Semi-supervised graph contrastive learning for emotion recognition based on electroencephalogram signals
A graph convolutional neural network that dynamically adapts its architecture to input data at inference time to predict the short-term states of traffic
Two-layer knowledge graph transformer network-based question and answer explainable recommendation
Temporal signed gestures segmentation in an image sequence using deep reinforcement learning
An integrated sustainable medical supply chain network during COVID-19
Interpreting injection molding quality defect using explainable artificial intelligence and analysis of variance
A novel hybrid optimization approach for reactive power dispatch problem considering voltage stability index
Synthetic data enhancement using diffusion models for improved miscanthus identification and bioenergy extraction
Hierarchical fusion evaluation and optimization of radar intelligent tracking algorithm via hybrid weight design mechanism
Pixel-level clustering network for unsupervised image segmentation
Image deraining via invertible disentangled representations
2-tuple linguistic decision-making with consistency adjustment strategy and data envelopment analysis
A multimodal automatic generation and annotation framework for prohibited and restricted goods in online transactions
Cost function based on the self-organizing map for parameter estimation of chaotic discrete-time systems
JTangCSPS: A composite and semantic publish/subscribe system over structured P2P networks
Finite-time fuzzy tracking control for networked suspension systems under Gilbert-Elliott fading channels
Interpretable policies for reinforcement learning by genetic programming
HK-MOEA/D: A historical knowledge-guided resource allocation for decomposition multiobjective optimization
Simulation data-driven adaptive frequency filtering focal network for rolling bearing fault diagnosis
A small object detection algorithm for mine environment
Pairwise control in swarm flocking with application to UAVs
Machine learning-aided damage identification of mock-up spent nuclear fuel assemblies in a sealed dry storage canister
Ontology matching system for future energy smart grids
Two-stage ANN based intelligent technique for optimal positioning and sizing of DERs in distribution system
Forecasting train travel times of China-Europe Railway Express through a hybrid deep learning model optimized with a bandit-based approach
Extra-adaptive robust online subspace tracker for anomaly detection from streaming networks
A transfer learning-based approach to maritime warships re-identification
A wavelet tensor fuzzy clustering scheme for multi-sensor human activity recognition
Multiple scales fusion and query matching stabilization for detection with transformer
Simheuristic-based decision support system for efficiency improvement of an iron ore crusher circuit
Economic dispatch of virtual power plant using reinforcement learning method with improved state space and hybrid action representation
Context-based behaviour modelling and classification of marine vessels in an abalone poaching situation
Lightweight advanced deep-learning models for stress detection on social media
Improved sine cosine algorithm combined with optimal neighborhood and quadratic interpolation strategy
Predictive typing method for Persian office automation
An enhanced optimization kernel for analog IC design automation using the shrinking circles technique
A deep neural network for small object detection in complex environments with unmanned aerial vehicle imagery
The applications of machine learning mechanisms in the compositions of internet of things services: A systematic study, current progress, and future research agenda
Hybrid cross-modality fusion network for medical image segmentation with contrastive learning
Covid based question criticality prediction with domain adaptive BERT embeddings
Predicting seismic events in coal mines based on underground sensor measurements
SA-MVSNet: Self-attention-based multi-view stereo network for 3D reconstruction of images with weak texture
A target detection method for persimmon based on an improved fifth version of the you only look once algorithm
Time-aware cross-domain point-of-interest recommendation in social networks
Enhancing hydroponic farming with Machine Learning: Growth prediction and anomaly detection
MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism
A novel ECG diagnostic system for the detection of 13 different diseases
Unveiling learning trends in convolutional neural networks with dynamic mode decomposition
A dual-similarity based consensus reaching process in quality function deployment with heterogeneous linguistic preference relations
Finite-frequency H∞ control design for T-S fuzzy systems with state/input delay and physical constraints
Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation
AONet: Active Offset Network for crowd flow prediction
Application of MOKA methodology in generative model creation using CATIA
Bearing fault diagnosis with intermediate domain based Layered Maximum Mean Discrepancy: A new transfer learning approach
An integrated model for evaluating the risk factors of crypto-currencies under fuzzy environment
Heuristics for designing multi-sink clustered WSN topologies
A lightweight vision transformer with embedded hybrid attention for quick response code defect classification
Reliable federated learning based on delayed gradient aggregation for intelligent connected vehicles
Interpreting the influential factors in ship detention using a novel random forest algorithm considering dataset imbalance and uncertainty
A multiobjective swarm intelligence approach based on artificial bee colony for reliable DNA sequence design
Unveiling the potential: Exploring the predictability of complex exchange rate trends
A lightweight deep learning approach for patient-specific electrocardiogram beat classification using local and long-term dependencies
Automatic amber gemstones identification by color and shape visual properties
An end-to-end deep learning framework for accurate estimation of intracranial pressure waveform characteristics
ECG signal enhancement based on improved denoising auto-encoder
A two-stage classification-regression method for prediction of flexural strength of fiber reinforced polymer strengthened reinforced concrete beams
A deep reinforcement learning algorithm to control a two-wheeled scooter with a humanoid robot
Handling heterogeneity in Human Activity Recognition data by a compact Long Short Term Memory based deep learning approach
Adaptive interval type-2 fuzzy neural network nonsingular fast terminal sliding mode control for cable-driven parallel robots
Research on a hierarchical feature-based contour extraction method for spatial complex truss-like structures in aerial images
Applications of machine learning & Internet of Things for outdoor air pollution monitoring and prediction: A systematic literature review
Multi-stream feature aggregation network with multi-scale supervision for single image dehazing
Large-scale stochastic production decision-making for coupled economy-environment-energy systems in sustainable industrial processes under uncertainty: A data-driven two-stage multi-objective optimization framework
A machine vision inspector for beer bottle
Explore Unicin Milvus Optimization-based Scale Invariant Signal interference Noise loss enabled Cycle Generative Adversarial Network for audio source separation
Multi-modal semantic feature alignment medical cross-modal hashing
An evolutionary algorithm with indirect representation for droplet routing in digital microfluidic biochips
On cosine fuzzy sets and uncertainty quantification
Ghost-UNet: Lightweight model for underwater image enhancement
Designing digital IIR filters using ant colony optimisation algorithm
An imputation-based matrix factorization method for improving accuracy of collaborative filtering systems
Prediction-based peer-to-peer energy transaction market design for smart grids
Continuous ant colony filter applied to online estimation and compensation of ground effect in automatic landing of quadrotor
Segmentation of endocardium in ultrasound images based on sparse representation over learned redundant dictionaries
An evolutionary multitasking algorithm for multi-objective feature selection using dual-perspective reduction
Counterfactual-based minority oversampling for imbalanced classification
A multi-domain adversarial transfer network for cross domain fault diagnosis under imbalanced data
Smart building evacuation by tracking multi-camera network and explainable Re-identification model
A printed circuit board surface defect detection method for long-tail and multi-scale scenarios
Harnessing Fusion Modeling for Enhanced Breast Cancer Classification through Interpretable Artificial Intelligence and In-Depth Explanations
Experiments on semantic interoperability of agent reputation models using the SOARI architecture
An efficient fault classification method in solar photovoltaic modules using transfer learning and multi-scale convolutional neural network
A memetic algorithm for real world multi-intersection traffic signal optimisation problems
Ada-CCFNet: Classification of multimodal direct immunofluorescence images for membranous nephropathy via adaptive weighted confidence calibration fusion network
Real time algorithm based on time series data abstraction and hybrid bond graph model for diagnosis of switched system
A novel hybrid risk assessment approach under fuzzy environment in steel industry
A two-layered solution for automatic heliostat aiming
CWAN: Self-supervised learning for deep grape disease image composition
Revolutionizing breast cancer diagnosis: A computer-aided diagnosis framework with Vision Transformers for multistage histopathology-based classification
Estimating room acoustic descriptors from bag-of-vectors representation with transformers
A deep learning based classifier framework for automated nuclear atypia scoring of breast carcinoma
Ensemble framework by using nature inspired algorithms for the early-stage forest fire rescue - A case study of dynamic optimization problems
A new model for resilient-sustainable energy project portfolio with bi-level budgeting and project manager skill utilization under neutrosophic fuzzy uncertainty: A case study
Optimizing strategy selection in hidden role games
Reducing the estimation bias and variance in reinforcement learning via Maxmean and Aitken value iteration
A framework with reasoning capabilities for crisis response decision-support systems