yusuke1997/dblp-id-title huggingface dataset:
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part I
WPG-CAM: A Novel Weighted Feature Fusion CAM Method Based on Information Entropy Using Pooling and Gaussian Upsampling
Learning to Collocate Fashion Items from Heterogeneous Network Using Structural and Textual Features
A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation
Meta-feature Extraction for Multi-objective Optimization Problems
LOS Guidance Law for Unmanned Surface Vehicle Path Following with Unknown Time-Varying Sideslip Compensation
Design of Particle Swarm Optimized Fuzzy PID Controller and Its Application in Superheat Degree Control
Self-Attention-Based Reconstruction for Planetary Magnetic Field
SGWnet: An Interpretable Convolutional Neural Network for Mechanical Fault Intelligent Diagnosis
A Bughole Detection Approach for Fair-Faced Concrete Based on Improved YOLOv5
A Bi-directional Relation Aware Network for Link Prediction in Knowledge Graph
International Conference on Neural Computing for Advanced Applications - 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part II
An Improved Partition Filter Network for Entity-Relation Joint Extraction
Detection and Identification of Digital Display Meter of Distribution Cabinet Based on YOLOv5 Algorithm
A Positive-Negative Dual-View Model for Knowledge Tracing
A Transformer-Based Decoupled Attention Network for Text Recognition in Shopping Receipt Images
Research on Chinese Diabetes Question Classification with the Integration of Different BERT Models
An Improved Weighted QMIX Based on Weight Function with Q-Value
An Enhanced Model Based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases
Enhancing Rural Electrification: Delivering Affordable and Clean Electricity Through Mobile Battery Solutions
A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection
Multivariate Time Series Imputation with Bidirectional Temporal Attention-Based Convolutional Network
Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine
Balancing of Bike-Sharing System via Constrained Model Predictive Control
COVID-19 Urban Emergency Logistics Planning with Multi-objective Optimization Model
A Novel Trajectory Tracking Controller for UAV with Uncertainty Based on RBF and Prescribed Performance Function
A Hybrid Approach to Risk Analysis for Critical Failures of Machinery Spaces on Unmanned Ships by Fuzzy AHP
Design of AUV Control System Based on BP Neural Network and PID
Optimization Method of Multi-body Integrated Energy System Considering Air Compression Energy Storage
Anomaly Detection of Residential Electricity Consumption Based on Ensemble Model of PSO-AE-XGBOOST
Systematic Analysis of Joint Entity and Relation Extraction Models in Identifying Overlapping Relations
ESN-Based Control of Bending Pneumatic Muscle with Asymmetric and Rate-Dependent Hysteresis
Latent Sparse Discriminative Learning for Face Image Set Classification
Prediction of TP in Effluent at Multiple Scales Based on ESN
Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks
Pedestrian Fall Detection Algorithm Based on Improved YOLOv7
A Novel Approach to Ship Operational Risk Analysis Based on D-S Evidence Theory
Data-Driven Recommendation Model with Meta-learning Autoencoder for Algorithm Selection
RPCA-Induced Graph Tensor Learning for Incomplete Multi-view Inferring and Clustering
Differential Evolution Algorithm Based on Staged Adaptive Mutation Strategy Selection
TE-BiLSTM: Improved Transformer and BiLSTM on Fraudulent Phone Text Recognition
Design and Development of Wearable Knee Rehabilitation System Based on Motor Imagery Brain Computer Interface
Application of WOA-SVM Based Algorithm in Tumor Cell Detection Research
Multi-size Scaled CAM for More Accurate Visual Interpretation of CNNs
An Interior Illuminance Prediction Model Based on Differential Evolution-Gaussian Fitting
A Two-Stage Framework for Kidney Segmentation in Ultrasound Images
SHGNN: A Substructure-Aware and High Expressive Graph Neural Network for Graph Classification
Anomaly Detection and Alarm Limit Design for In-Hole Bit Bounce Based on Interval Augmented Mahalanobis Distance
Research on Non-intrusive Household Load Identification Method Applying LightGBM
Container Damage Identification Based on Fmask-RCNN
Multi-layer Integrated Extreme Learning Machine for Mechanical Fault Diagnosis of High-Voltage Circuit Breaker
Temporal Knowledge Graph Link Prediction Using Synergized Large Language Models and Temporal Knowledge Graphs
A Study on Image Reconstruction Based on Decoding fMRI Through Extracting Image Depth Features
Master Multiple Real-Time Strategy Games with a Unified Learning Model Using Multi-agent Reinforcement Learning
Neural Computing for Advanced Applications - 5th International Conference, NCAA 2024, Guilin, China, July 5-7, 2024, Proceedings, Part I
Unmanned Combat Aerial Vehicle Air Combat Decision-Making Method Based on Trust Region-Based Proximal Policy Optimization with Rollback
TextSMatch: Safe Semi-supervised Text Classification with Domain Adaption
Examining and Predicting Teacher Professional Development by Machine Learning Methods
Many-Objective Artificial Bee Colony Algorithm Based on Decision Variable Grouping
Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting
Application of Bat Algorithm to Reduce Power Loss in Electrical Power Systems
Adaptive Allocation Method of Terminal Container Parameters Based on Evolutionary Game
Interactive Clothes Image Retrieval via Multi-modal Feature Fusion of Image Representation and Natural Language Feedback
Item-Behavior Sequence Session-Based Recommendation
Artificial Bee Colony Algorithm with an Adaptive Search Manner
EmoBART: Multi-label Emotion Classification Method Based on Pre-trained Label Sequence Generation Model
Online Car-Hailing Order Matching Method Based on Demand Clustering and Reinforcement Learning
Multi-period Distributed Delay-Sensitive Tasks Offloading in a Two-Layer Vehicular Fog Computing Architecture
Multi-layer Echo State Network with Nonlinear Vector Autoregression Reservoir for Time Series Prediction
A Hybrid Neural Network RBERT-C Based on Pre-trained RoBERTa and CNN for User Intent Classification
Discriminative Subspace Learning for Cross-view Classification with Simultaneous Local and Global Alignment
An Extended TODIM Method Based on Interval-Valued Pythagorean Hesitant Fuzzy Sets and Its Utilization in Green Shipping
Deep Reinforcement Learning Method of Target Hunting for Multi-agents with Flocking Property
Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects
Self-supervised Learning Advance Fault Diagnosis of Rotating Machinery
Multi-Feature Fusion and Reinforcement Model for High-Speed Train Axle Box Bearing Fault Diagnosis Under Variable Speed Domain
Research on Visual Servo Control System of Substation Insulator Washing Robot
Research and Simulation of Fuzzy Adaptive PID Control for Upper Limb Exoskeleton Robot
Ascent Guidance for Airbreathing Hypersonic Vehicle Based on Deep Neural Network and Pseudo-spectral Method
Analysis of the Impact of Regional Customer Charging on the Grid Under the Aggregator Model
Empirical Mode Decomposition Based Deep Neural Networks for AQI Forecasting
UWYOLOX: An Underwater Object Detection Framework Based on Image Enhancement and Semi-supervised Learning
LCSW: A Novel Indoor Localization System Based on CNN-SVM Model with WKNN in Wi-Fi Environments
An Hybrid Model CMR-Color of Automatic Color Matching Prediction for Textiles Dyeing and Printing
Container Lead Seal Detection Based on Nano-CenterNet
A Predictive Maintenance Platform for a Conveyor Motor Sensor System Using Recurrent Neural Networks
Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables
FPLGen: A Personalized Dialogue System Based on Feature Prompt Learning
An Investigation on the Effects of Exemplars Selection on Convergence and Diversity in Large-Scale Particle Swarm Optimizer
Physical-Property Guided End-to-End Interactive Image Dehazing Network
Adaptive Multiple-View Label Propagation for Semi-supervised Classification
Named Entity Recognition of Belt Conveyor Faults Based on ALBERT-BiLSTM-SAM-CRF
Resource Allocation and Trajectory Optimization for UAV Assisted Mobile Edge Computing Systems with Energy Harvesting
A Study of Chinese-English Translation Teaching Based on Data Mining
Reliable Neighbors-Based Collaborative Filtering for Recommendation Systems
Multiagent Reinforcement Learning for Combinatorial Optimization
Observer-Based Adaptive Security Control for Network Control Systems Under TDS Actuator Attacks
Improved Road Defect Detection Model Based on RT-DETR for UAV Images
A Federated Learning Method for Non-intrusive Load Monitoring Based on Fed-Prox and Bi-GRU
TRUST-TECH Assisted GA-SVM Ensembles and Its Applications
Synergistic Integration of Renewable Energy and HVDC Technology for Enhanced Multi-objective Economic Emission Dispatch Using the Salp Swarm Algorithm
An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection
2-Dimensional Interval Neutrosophic Linguistic Numbers and Their Utilization in Group Decision Making
Disaggregated Power System Signal Recognition Using Capsule Network
An Optimization Method to Boost the Resilience of Power Networks with High Penetration of Renewable Energies
Feature Selection for High-Dimensional Data Based on a Multi-objective Particle Swarm Optimization with Self-adjusting Strategy Pool
Formation Control Optimization via Leader Selection for Rotor Unmanned Aerial Vehicles
Blockchain-Based Multi-target Distributed Passive Localization
Fault Diagnosis of Photovoltaic Modules Based on Feature Extraction
A Span-Based Joint Model for Measurable Quantitative Information Extraction
Optimal Control of Nonlinear Time-Delay Systems with Input Constraints Using Reinforcement Learning
Artificial Bee Colony Based on Adaptive Search Strategies and Elite Selection Mechanism
Analysis of Autoencoders with Vapnik-Chervonenkis Dimension
An Improved Cloud Particles Optimizer for Function Optimization
Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm
A Dual-Size Convolutional Kernel CNN-Based Approach to EEG Signal Classification
Backstepping Control of Air-Handling Unit for Indoor Temperature Regulation
A Similarity Index Time-Effect Collaborative Filtering Algorithm Based on Attentional Double BP Network
A Method for Imbalanced Fault Diagnosis Based on Self-attention Generative Adversarial Network
Neural Computing for Advanced Applications - First International Conference, NCAA 2020, Shenzhen, China, July 3-5, 2020, Proceedings
Indicators Directed Multi-strategy Artificial Bee Colony Algorithm
Downhole Condition Identification for Geological Drilling Processes Based on Qualitative Trend Analysis and Expert Rules
A LSTM Assisted Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization
A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost
Privacy Sensitive Large-Margin Model for Face De-Identification
Optimization of Rural Integrated Energy System with Shared Energy Storage on Multiple-Timescales
A Deep Learning Algorithm for Synthesizing Magnetic Resonance Images from Spine Computed Tomography Images using Mixed Loss Functions
Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features
UAV-Assisted Blind Area Pedestrian Detection via Terminal-Edge-Cloud Cooperation in VANETs
A Stacked Autoencoder Based Meta-Learning Model for Global Optimization
Short-Term Load Forecasting of Secondary CEEMDAN-SE-Transformer-BiLSTM Combined with Error Correction
Dynamic Monitoring Method Based on Comparative Study of Power and Environmental Protection Indicators
Privacy Preserving Average Consensus via Integrable Function Based Masking
A New Total Variation Denoising Algorithm for Piecewise Constant Signals Based on Non-convex Penalty
Abnormality Detection and Identification Algorithm for High-Speed Freight Train Body
Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios
Smoothed Multi-view Subspace Clustering
An Enhanced Subregion Dominance Relation for Evolutionary Many-Objective Optimization
Fault Arc Detection Method Based on Multi Feature Analysis and PNN
An Improved Convolutional Neural Network Model by Multiwavelets for Rolling Bearing Fault Diagnosis
Prediction of Monthly Precipitation in Guangxi Based on EVO-CNN-LSTM-Attention Model
A New Indoor Occupancy Detection Model by Integrating the Efficient Multi-scale Attention Mechanism into the EfficientDet Model
GT-ACGAN: Graph Topology-Based Auxiliary Classifier GAN for Graph Long-Tailed Classification
A MSARM-Based EIT Image Reconstruction Method
LQR Optimal Control Method Based on Two-Degree-of Freedom Manipulator
Path Planning of Mobile Robot with Improved RRT Algorithm
Path Planning for Mobile Robots Based on Improved A* Algorithm
DRLN: Disentangled Representation Learning Network for Multimodal Sentiment Analysis
Dynamic Multi-objective Prediction Strategy for Transfer Learning Based on Imbalanced Data Classification
An Adaptive Clustering Approach for Efficient Data Dissemination in IoV
Adaptive Methods of Differential Evolution Multi-objective Optimization Algorithm Based on Decomposition
Application of Machine Learning in Enterprise Financial Risk Assessment: A Study About China's A-Share Listed Manufacturing Companies
Design of Online ESN-ADP for Dissolved Oxygen Control in WWTP
Efficient Path Planning for Large-Scale Vehicular Networks via Multi-agent Mean Field Reinforcement Learning
SFDA: Chinese Diabetic Text Classification Based on Sentence Feature Level Data Augmentation
Multi-agent Reinforcement Learning for Taxi-Fleet Cruising Strategy in Ride-Hailing Services
A Computational Model Based on Neural Network of Visual Cortex with Conceptors for Image Classification
ASTGCN for Traffic Flow Prediction Based on Weather Influence
An Analysis on Balance Model of Exploration and Exploitation Under Decoupled-Learning Pattern for Large-Scale Particle Swarm Optimizers
Strategy Determination for Multiple USVs: A Min-max Q-learning Approach
CE-DSLAM: A Dynamic SLAM Framework Based on Human Contact Experience for Escort Robots
Cage Mass Center Capture for Whirl Analysis Using an Improved MultiResUNet from the Multimodal Biomedical Image Segmentation
Multi-view Spectral Clustering with High-order Similarity Learning
Neural Network-Based Adaptive Control for EMS Type Maglev Vehicle Systems with Time-Varying Mass
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part II
Ensemble Tidal Prediction Scheme by Combining Harmonic Analysis and Meteorological Predictive Module
Tailored Pruning via Rollback Learning
A Recognition Method of Hand Gesture Based on Dual-SDAE
Explicit Facial Attribute Disentanglement for Hierarchical Relationships Detection
Bayesian Optimization Based Seq2Seq Network Models for Real Estate Price Prediction in Hong Kong
A Multi-scale Feature Adaptation ConvNeXt for Cross-Domain Fault Diagnosis
International Conference on Neural Computing for Advanced Applications - 4th International Conference, NCAA 2023, Hefei, China, July 7-9, 2023, Proceedings, Part I
Adaptive Hierarchical Clustering Based Student Group Exercise Recommendation via Multi-objective Evolutionary Method
Feed Formula Optimization Based on Improved Tabu Search Algorithm
Modeling Data Center Networks with Message Passing Neural Network and Multi-task Learning
Bolt Loosening Detection Based on Principal Component Analysis and Support Vector Machine
Wire Rope Damage Detection Method Based on Support Vector Machine Wavelet Kernel Function Algorithm
GFU-Net: A Deep Learning Approach for Automatic Metal Crack Detection
Student-centered Education in Metaverse: Transforming the Language Listening Curriculum
An Advanced Actor-Critic Algorithm for Training Video Game AI
Learning Unsupervised Video Summarization with Semantic-Consistent Network
RoBERTa-wwm-CBA: A Mental Disease Identification Model Based on RoBERTa-wwm and Hybrid Neural Networks
Study on the Carbon Emission Efficiency of Pearl River Delta Ports Based on the Super-SBM-GML Index Model
Self-supervised Contrastive Representation Learning for Machinery Fault Diagnosis
A Method for Sleep Staging Using Single-Channel EEG Signals Based on Horizontal Visibility Graph and Graph Isomorphism Network
A Method for Identifying Fraudulent Behavior in Electricity Bill Collection Based on Nearest Neighbor Metric Matching
Conditional Diffusion Model-Based Data Augmentation for Alzheimer's Prediction
Cross Languages One-Versus-All Speech Emotion Classifier
Marine Ship Detection Under Fog Conditions Based on an Improved Deep-Learning Approach
A Novel Automatic Generation Method for Neural Network by Using Iterative Function System
Sequential Seeding Initialization for SNIC Superpixels
Novel TD-based Adaptive Control for Nonlinearly Parameterized Stochastic Systems
A Multi-Surrogate-Assisted Artificial Bee Colony Algorithm for Computationally Expensive Problems
A Neural Approach Towards Real-time Management for Integrated Energy System Incorporating Carbon Trading and Electrical Vehicle Scheduling
A New Unified Control Approach for Finite-/Fixed-Time Synchronisation of Multi-weighted Dynamical Networks
Image Intelligence-Assisted Time-Series Analysis Method for Identifying "Dispersed, Disordered, and Polluting" Sites Based on Power Consumption Data
Weighted Average Consensus in Directed Networks of Multi-agents with Time-Varying Delay
Optimization Design of Photovoltaic Power Generation System Under Complex Lighting Conditions
Improved Faster R-CNN Algorithm for Transmission Line Small Target Detection
Daily PM2.5 Forecasting Using Graph Convolutional Networks Based on Human Migration
Fast Dynamic Response Based on Active Disturbance Rejection Control of Dual Active Bridge DC-DC Converter
Pheromone Based Independent Reinforcement Learning for Multiagent Navigation
Teaching Pre-editing for Chinese-to-English MT: An Experiment with Controlled Chinese Rules
Sensor Embedding and Variant Transformer Graph Networks for Multi-source Data Anomaly Detection
Cervical Spondylotic Myelopathy Segmentation Using Shape-Aware U-net
LDA-Enhanced Federated Learning for Image Classification with Missing Modality
Brain Storm Optimization Algorithms: A Brief Review
MAMF: A Multi-Level Attention-Based Multimodal Fusion Model for Medical Visual Question Answering
Semantic Segmentation via Efficient Attention Augmented Convolutional Networks
Design of Echo State Network with Coordinate Descent Method and l 1 Regularization
Towards Efficient Federated Learning via Vehicle Selection and Resource Optimization in IoV
Heterogeneous Adaptive Denoising Networks for Recommendation
Coordinative Hyper-heuristic Resource Scheduling in Mobile Cellular Networks
Psychological Consultation Dialogue Generation Based on Multi-label Classification Model and GPT
Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks
A Twin Learning Evolutionary Algorithm for Capacitated Vehicle Routing Problem
Optimal Path Planning for Unmanned Vehicles Using Improved Ant Colony Optimization Algorithm
A Survey on Deep Learning-Based Medical Image Registration
Rapid Detection of Formaldehyde Emission from Wood-Based Panels Based on the IPOA-XGBoost
Rehabilitation Training Program Recommendation System Based on ALBERT-LDA Model
A Traffic Light Control System Based on Reinforcement Learning and Adaptive Timing
Building Energy Performance Certificate Labelling Classification Based on Explainable Artificial Intelligence
Deep Echo State Network Based Neuroadaptive Control for Uncertain Systems
Adaptive Neural Network Control for Double-Pendulum Tower Crane Systems
Extended Kalman Filter-Based Adaptively Sliding Mode Control with Dead-Zone Compensator for an Anchor-Hole Driller
Clothes Image Retrieval via Learnable FashionCLIP
Dynamic Community Detection via Adversarial Temporal Graph Representation Learning
Shared Task 1 on NCAA 2023: Chinese Diabetes Question Classification
Preference Weight Vector Adjustment Strategy Based Dynamic Multiobjective Optimization
Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition
A Collaborators Recommendation Method Based on Multi-feature Fusion
A Dominance-Based Many-Objective Artificial Bee Colony Algorithm
Dual-Population Adaptive Strategy Comprehensive Learning Particle Swarm Optimization
PointAF: A Novel Semantic Segmentation Network for Point Cloud
Sparse Multi-task Least-Squares Support Vector Machine
A Perception Method Based on Point Cloud Processing in Autonomous Driving
A Scene Perception Method Based on MobileNetV3 for Bionic Robotic Fish
Template-Enhanced Aspect Term Extraction with Bi-Contextual Convolutional Neural Networks
A Deep Learning-Based Method Facilitates scRNA-seq Cell Type Identification
Non-intrusive Load Identification Based on Steady-State V-I Trajectory
A Hybrid Machine Learning Approach for Customer Loyalty Prediction
An Early Prediction and Label Smoothing Alignment Strategy for User Intent Classification of Medical Queries
PF-BiCGAN: An Abnormal Values Replacement Approach for Port Electrical Load Forecasting
Complementary Environmental Selection for Evolutionary Many-Objective Optimization
3D Pose Estimation of Markerless Fish on Deep Learning
Research on Crack Identification of Highway Asphalt Pavement Based on Deep Learning
Mitigating Dimensional Collapse and Model Drift in Non-IID Data of Federated Learning
Obstacle Avoidance Algorithm for Mobile Robot Based on ROS and Machine Vision
Mr-ResNeXt: A Multi-resolution Network Architecture for Detection of Obstructive Sleep Apnea
An Ultra-High Speed Gesture Recognition Algorithm Based on MobileNetV2
Sample Reduction Using ℓ 1 -Norm Twin Bounded Support Vector Machine
A Decision-Making Method Combining Multi-granularity Rough Set and VIKOR Method
A New Multi-level Knowledge Retrieval Model for Task-Oriented Dialogue
MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features
Cross Elitist Learning Multifactorial Evolutionary Algorithm
Short-Term Building Load Forecast Based on Patch Learning with Long Short-Term Memory Network and Support Vector Regression
Design Optimization of Plate-Fin Heat Exchanger Using Sine Cosine Algorithm
Aperiodic Sampling Based Event-Triggering for Synchronization of Nonlinear Systems
Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction
A Tree-Structure Convolutional Neural Network for Temporal Features Exaction on Sensor-Based Multi-resident Activity Recognition
Safety Helmet-Wearing Detection Method Fusing Pose Estimation
Deep K-Means: A Simple and Effective Method for Data Clustering
Radical Basis Neural Network Based Anti-swing Control for 5-DOF Ship-Mounted Crane
Active Learning Method Based on Axiomatic Fuzzy Sets and Cost-Sensitive Classification
Spreading Dynamics Analysis for Railway Networks
Scalable Multi-agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games
Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex
An Improved Reinforcement Learning for Security-Constrained Economic Dispatch of Battery Energy Storage in Microgrids
Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization
A Data Enhancement Method for Gene Expression Profile Based on Improved WGAN-GP
Image Registration Algorithm Based on Manifold Regularization with Thin-Plate Spline Model
An Improved Ensemble Classification Algorithm for Imbalanced Data with Sample Overlap
Adaptive Fuzzy Distributed Formation Tracking for Second-order Nonlinear Multi-agent Systems with Prescribed Performance
A Binary Superior Tracking Artificial Bee Colony for Feature Selection