yusuke1997/dblp-id-title huggingface dataset:
An Evolutionary Optimization Method for Parameter Search in 3D Points Cloud Reconstruction
Mitigating Data Imbalance in Medical Report Generation Through Visual Data Resampling
Visible-Hidden Multi-view Collaborative Fuzzy Clustering Based on Graph Constraints
The Fast Blind Equalization Algorithm with Global Convergence
Multi-layer Feature Augmentation Based Transferable Adversarial Examples Generation for Speaker Recognition
Automatic Detection of Yeast and Pseudohyphal Form Cells in the Human Pathogen Candida Glabrata
Programmable Pushdown Store Base on DNA Computing
Moving Vehicle Detection Based on Visual Processing Mechanism with Multiple Pathways
Adaptive Graph Augmentation for Graph Contrastive Learning
Deep Learning for Cardiotocography Analysis: Challenges and Promising Advances
Detecting Community Structure in Complex Networks with Backbone Guided Search Algorithm
Application of a Strong Tracking Finite-Difference Extended Kalman Filter to Eye Tracking
On Classifying Diabetic Patients' with Proliferative Retinopathies via a Radial Basis Probabilistic Neural Network
Optimization of Ni-MH Battery Fast Charging in Electric Vehicles Using Dynamic Data Mining and ANFIS
Bilateral Negotiation in a Multi-Agent Energy Market
A Fuzzy Constraint Based Outlier Detection Method
Image Super-resolution Reconstruction Utilizing the Combined Method of K-SVD and RAMP
An Improved Nested Partitions Algorithm Based on Simulated Annealing in Complex Decision Problem Optimization
PCOPM: A Probabilistic CBR Framework for Obesity Prescription Management
A Supervised Breast Lesion Images Classification from Tomosynthesis Technique
Seizure Detection in Clinical EEG Based on Multi-feature Integration and SVM
Software Metrics Data Clustering for Quality Prediction
Enhancing Stock Similarity Analysis with Phase-Embedded Multivariate Similarity Measure
Intra-frame Adaptive Transform Size for Video Steganography in H.265/HEVC Bitstreams
An Accurate Online Non-rigid Structure from Motion Algorithm
MBDNet: Mitigating the "Under-Training Issue" in Dual-Encoder Model for RGB-d Salient Object Detection
Data Science Approaches for the Analysis of Animal Behaviours
Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations
MemoPA: Intelligent Personal Assistant Agents with a Case Memory Mechanism
Hand Gesture Tracking and Recognition System for Control of Consumer Electronics
Research on Dynamic Human Object Tracking Algorithm
A Hybrid Quantum-Inspired Evolutionary Algorithm for Capacitated Vehicle Routing Problem
Multi-cluster Layer-Sharing Container Scheduling in Cloud-Edge Collaboration
YOLO-MAOD: An Algorithm for Ground Object Detection in Open-Pit Mine Based on Remote Sensing Images
Automatic Construction of Bayesian Networks for Conversational Agent
Towards a Universal Steganalyser Using Convolutional Neural Networks
A Simulation Study on Fuzzy Markov Chains
An Efficient Topology-Based Algorithm for Transient Analysis of Power Grid
A Constrained Ant Colony Algorithm for Image Registration
Performance Analysis of Multimedia Communication System with Enhanced STTD Technique for USN
MPdeep: Medical Procession with Deep Learning
ACP-TransLSTM: A Novel Deep Learning Framework for Anticancer Peptide Prediction Using Multi-source Feature Integration
Comparison of Various Weighted K-Nearest Neighbor Methods for Positioning Systems Using Visible LED Lights
K-Nearest Neighbor Based Local Distribution Alignment
A Fine-Grained Pose-Aware Pattern Discovering ConvNet for Human Pose Estimation
Introspective Reward Modeling via Inverse Reinforcement Learning for LLM Alignment
WGMFDDA: A Novel Weighted-Based Graph Regularized Matrix Factorization for Predicting Drug-Disease Associations
Generation of Multiple Background Model by Estimated Camera Motion Using Edge Segments
Attributed Multi-relational Graph Embedding Based on GCN
DeepMHAttGRU-DTI: Prediction of Drug-Target Interactions Based on Knowledge Graph Random Walk Embeddings and GRU Neural Network
Legal-LM: Knowledge Graph Enhanced Large Language Models for Law Consulting
A Linear Method for Determining Intrinsic Parameters from Two Parallel Line-Segments
Content-Based Diversifying Leaf Image Retrieval
A Heuristic Approach to Design and Analyze the Hybrid Electric Vehicle Powertrain and Energy Transmission Systems
Extraction of Relationship Between Esophageal Cancer and Biomolecules Based on BioBERT
LACD-MoE: Layer-Aware Adaptive Routing with Confidence-Difference Constraints for MoE Models
Sliding Window GBDT for Electricity Demand Forecasting
Multi-objective Optimal Strategy for Individual Consumption-Investment with Fuzzy Coefficients
Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile Devices
Missing Data Imputation in Time Series by Evolutionary Algorithms
Predicting Potential Ligands for Orphan GPCRs Based on the Improved Laplacian Regularized Least Squares Method
A Mutation-Particle Swarm Algorithm for Error-Bounded Polygonal Approximation of Digital Curves
Identification of Colorectal Cancer Candidate Genes Based on Subnetwork Extraction Algorithm
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation
License Plate Detection and Recognition Technology for Complex Real Scenarios
Stability and Stabilization of Impulsive Hybrid Dynamical Systems
T4Di: A Hybrid TTT-Transformer Backbone for Scalable and Efficient Diffusion Model
Prediction of Chemical Oxygen Demand in Sewage Based on Support Vector Machine and Neural Network
A Novel Clustering Algorithm Based on Variable Precision Rough-Fuzzy Sets
The Concept of Applying Lifelong Learning Paradigm to Cybersecurity
The Projection Neural Network for Solving Convex Nonlinear Programming
Water Wave Optimization for the Traveling Salesman Problem
A Cognitive Model of Morphological Neural Network
CDGMiner: A New Tool for the Identification of Disease Genes by Text Mining and Functional Similarity Analysis
Gait Identification Using Hip Joint Movement and Deep Machine Learning
Adaptive Weighted Fusion of Local Kernel Classifiers for Effective Pattern Classification
A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans
Research on Algorithm of Parallel Garbage Collection Based on LISP 2 for Multi-core System
Prediction Algorithms in Large Scale VOD Network Collaborations
A Double Deep Q Network Guided Online Learning Differential Evolution Algorithm
Automatic License Plate Recognition Based on Faster R-CNN Algorithm
Human Motion Analysis Using Eroded and Restored Skeletons
A Torque-Current Prediction Model Based on GRU for Circumferential Rotation Force Feedback Device
Data Fusion Algorithm Based on Event-Driven and Minimum Delay Aggregation Path in Wireless Sensor Network
Prediction of Plant lncRNA-Protein Interactions Using Sequence Information Based on Deep Learning
Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II
Predicting Protein-Protein Interactions from Protein Sequence Using Locality Preserving Projections and Rotation Forest
Analysis of Pi Series and Its Application to Image Encryption
Disruption Management for the Vehicle Routing Problem with Time Windows
A Secure Distributed Spectrum Sensing Scheme in Cognitive Radio
SPViM: Sparse Pyramid Video Representation Learning Framework for Fine-Grained Action Retrieval
A Fast Optimization Algorithm for K-Coverage Problem
Fast Wavelet Transform Based on Spiking Neural Network for Visual Images
Construction of the Ensemble of Logical Models in Cluster Analysis
HRLLM: A Hierarchical Graph Comparison Learning Recommendation Algorithm Based on a Large Language Model
Explore the Brain Response to Naturalistic and Continuous Music Using EEG Phase Characteristics
Efficient Reinforcement Learning via Decoupling Exploration and Utilization
A Comparative Investigation of PSG Signal Patterns to Classify Sleep Disorders Using Machine Learning Techniques
A BP Neural Network Based Technique for HIF Detection and Location on Distribution Systems with Distributed Generation
Detecting Distributed Denial of Service Attacks in Neighbour Discovery Protocol Using Machine Learning Algorithm Based on Streams Representation
Fuzzy Modeling Via On-Line Clustering and Support Vector Machine
ETMixer: An Enhanced Trend Modeling Approach to Multivariate Time Series Forecasting
PECA-Net: Pyramidal Attention Convolution Residual Network for Architectural Heritage Images Classification
A General Framework for Adaptive Filtering in Wireless Sensor Networks Based on Fuzzy Logic
Fast ICA for Multi-speaker Recognition System
Time-Frequency Feature Enhancement Method for Moving Multiple Sound Source Localization in Noisy Environments
Q-learning Aided and Elite Guidance Snow Ablation Optimizer for Heterogeneous Wireless Sensor Networks Coverage
Sensor-Less Contact Force Estimation in Physical Human-Robot Interaction
Exploring Behavior-Driven Development for Code Generation
An Indexing Matrix Based Retrieval Model
Large-Scale Vehicle Navigation Preference Generation Based on Dual Deep Reinforcement Learning
A Risk Model for Assessing Exposure Factors Influence Oil Price Fluctuations
Solving Vehicle Routing Problem Using Ant Colony and Genetic Algorithm
Weighted Fuzzy C-Means Clustering Based on Double Coding Genetic Algorithm
Context Information Model Using Ontologies and Rules Based on Spatial Object
Overlapping Entity Relation Extraction Based on Syntactic Dependency Tree and Multi-dimensional Corner Marking Strategy
A Semantic-Structural Synergistic Chunking Method for Enhancing Domain-Specific LLM Fine-Tuning
ISE-UFDS: A Dataset for Detecting the Degree of Danger to Vehicles in Urban Flooding and Performance Assessment
Double Optimization for Design of Protein Energy Function
An Improved Block Truncation Coding Using Rectangular Non-symmetry and Anti-packing Model
Global-Local Decoupling for Graph Anomaly Detection
Gabor Feature-Based Fast Neighborhood Component Analysis for Face Recognition
Green Permutation Flowshop Scheduling: A Trade- off- Between Energy Consumption and Total Flow Time
Topic Extraction Based on Knowledge Cluster in the Field of Micro-blog
Image Classification Based on Deep Belief Network and YELM
A Classification Method for Diabetic Retinopathy Based on Self-supervised Learning
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part V
Optimization Algorithm for Scalar Multiplication in the Elliptic Curve Cryptography over Prime Field
Mining Infrequent Itemsets Based on Extended MMS Model
Method Combining Rule-Based and Corpus-Based Approaches for Oracle-Bone Inscription Information Processing
Adaptive Control Systems with Network Closed Identification Loop
Non-targeted Adversarial Attacks on Object Detection Models
A New Low-Cost Eye Tracking and Blink Detection Approach: Extracting Eye Features with Blob Extraction
Template Frame for DNA Computing
A New Efficient Parallel Revised Relaxation Algorithm
Financial Time Series Analysis of SV Model by Hybrid Monte Carlo
AGN: Adversarial Grafting Network for Few-Shot Visual Haze Classification
An Artificial Retina Chip Using Switch-Selective Resistive Network for Intelligent Sensor Systems
Simplifying Aspect-Sentiment Quadruple Prediction with Cartesian Product Operation
Differential Lévy-Flights Bat Algorithm for Minimization Makespan in Permutation Flow Shops
Profiling Multiple Domains of User Interests and Using Them for Personalized Web Support
Investigation of New Statistical Features for BCI Based Sleep Stages Recognition through EEG Bio-signals
Robust Real-Time Face Detection Using Hybrid Neural Networks
An Approach to Automated User Interest Matching in Online Classified Advertising Systems
Verification of Pathotyping by Quasispecies Model
Study on Line Loss Prediction of Low-Voltage Platform Area Based on Internet of Things
Anomaly Detection for Time Series Based on the Neural Networks Optimized by the Improved PSO Algorithm
MPRNet: Multi-scale Pointwise Regression Network for Crowd Counting and Localization
Hyper-heuristic Ant Colony Optimization Algorithm for Multi-objective Two-Echelon Vehicle Routing Problem with Time Windows
Multi-class Text Classification Model Based on Weighted Word Vector and BiLSTM-Attention Optimization
A New Weighted Support Vector Machine for Regression and Its Parameters Optimization
A Decomposition-Based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolio Optimization
Deep Learning with PCANet for Human Age Estimation
Join Social and Temporal Information for Rumor Detection
Research on Information Security of College Ideology
Graph-Based Ant System for Optimal Sizing of Standalone Hybrid Wind/PV Power Systems
A Novel Local Regional Model Based on Three-Layer Structure
Multi-step Probabilistic Load Forecasting for University Buildings Based on DA-RNN-MDN
A Review of Image Recognition with Deep Convolutional Neural Network
Modeling and Adaptive Control for Flapping-Wing Micro Aerial Vehicle
TS-Net: An Emotion Recognition Network Based on Temporal-Spatial Features of EEG Signals
News Sequence Recommendation Model with Dual-View Category Enhancement
Behavior of the Soft Constraints Method Applied to Interval Type-2 Fuzzy Linear Programming Problems
ModalLogicBench: Unveiling Modal Logic Reasoning Abilities of Large Language Models
A Hashing Image Retrieval Method Based on Deep Learning and Local Feature Fusion
Blockchain-Based Equilibrium Anchors Game Pricing Method for Data Element
A Novel Image Interpolation Method Based on Both Local and Global Information
Phrase-Based Statistical Machine Translation by Using Reordering Search and Additional Features
A Multi-Instance Multi-Label Learning Approach for Protein Domain Annotation
Collaborative Hyper-Heuristic Ant Colony Algorithm for Solving Multi-objective Fuzzy Low-Carbon Distributed Permutation Flow-Shop and Two-Echelon Vehicle Transportation Integrated Scheduling Problem
Exponential Synchronization for a Class of Chaotic Neural Network with Time-Delay
An Improved Artificial Bee Colony Algorithm for Solving Extremal Optimization of Function Problem
A Sub-captions Semantic-Guided Network for Image Captioning
A Recursive Parametric Spectral Subtraction Algorithm for Speech Enhancement
SGLFT-Occ: 3D Occupancy Prediction with Self-supervised Global Local Flatten Transformer
Study on Prior-Altitude-Locating-Algorithm for Video Target Based on UAV
Enhancing Large Language Models with Graph-Based Node Sampling for Fault Attribution in Power Distribution Networks
Improved Particle Swarm Optimization Algorithm Combined with Reinforcement Learning for Solving Flexible Job Shop Scheduling Problem
Power Supply and Its Expert System for Cold Welding of Aluminum and Magnesium Sheet Metal
Hierarchical Attention Network for Predicting DNA-Protein Binding Sites
A Discrete Sine Cosine Algorithm for Community Detection
Delay-Dependent Stability Analysis for a Class of Delayed Neural Networks
Implementation of a Centralized Scheduling Algorithm for IEEE 802.15.4e TSCH
On Initial Rectifying Learning for Linear Time-Invariant Systems with Rank-Defective Markov Parameters
Image Super-Resolution Reconstruction Based on Two-Stage Dictionary Learning
Design of Intelligent Predictive Controller for Electrically Heated Micro Heat Exchanger
Microscopic Image Mosaicing Algorithm Based on Normalized Moment of Inertia
Palmprint Recognition Based on Neighborhood Rough Set
RNG k-ε Pump Turbine Working Condition of Numerical Simulation and Optimization of the Model
Image Denoising via Multiple Images Nonlocally Means and Residual Tensor Decomposition
A Contrastive Learning Framework for Alzheimer's Disease Classification (CLFAD)
Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features
Sliding Mode Observer Based Anti-Windup PI Speed Controller for Permanent Magnet Synchronous Motors
Leveraging Large Language Models for Document-Level Complex Relation Extraction Through Self-Verification and Tool-Assisted Relational Reasoning
Rolling Partial Rescheduling with Efficiency and Stability Based on Local Search Algorithm
Automatic Reconstruction of Two-Dimensional Broken Objects
BDGTA: A Hybrid Neural Architecture for Enhanced RFID Indoor Positioning Using Bidirectional GRU and Sparse Attention Mechanisms
DrugGAN-MSM: A Generative Adversarial Approach to Molecular Design Integrating Masked Modeling and Multi-objective Optimization
Two Techniques to Improve the NEH Algorithm for Flow-Shop Scheduling Problems
Occluded Object Classification with Assistant Unit
CoT-NER: A Reasoning Method via Chain of Thought for Chinese Named Entity Recognition
Detection of Basal Cell Carcinoma by Automatic Classification of Confocal Raman Spectra
The Equilibrium Network Model and Its Genetic Algorithm
Multi-NPDQ: A Multi-agent Approach Through Deep Reinforcement Learning for Operation Scheduling
Smooth Multi-instance Learning for Object Detection
Design and Implementation of a General-Purpose MCU Simulation Software
Information Bottleneck Driven Masked Autoencoders for Data-Efficient Auxiliary Learning
LBA: Multi-Scale Video Segment Sampling for Open-Ended Video Question Answering
Road Network Construction and Hot Routes Inferring with Vehicular Trajectories
Friend Recommendation by User Similarity Graph Based on Interest in Social Tagging Systems
Correlated Multi-label Refinement for Semantic Noise Removal
Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification
Motion Deblurring for a Power Transmission Line Inspection Robot
Image Super-Resolution Reconstruction Based on Dual-Branch Channel Attention
A Method for Dam Safety Evaluation Based on Dempster-Shafer Theory
Path Planning of UCAV Based on a Modified GeesePSO Algorithm
OB-HPPO: An Option and Intrinsic Curiosity Based Hierarchical Reinforcement Learning Approach for Real-Time Strategy Games
Drug-Target Interaction Prediction Based on Knowledge Graph and Convolutional Neural Network Integrated with CBAM Module
Siamese Adaptive Template Update Network for Visual Tracking
Discrimination and Prediction of Protein-Protein Binding Affinity Using Deep Learning Approach
StoryWeaver: Consistent Multi-character Open-Ended Story Generation
Pre-Trained Language Model for Missing Value Imputation in Ocean Buoy Data
The Novel Feature Selection Method Based on Emotion Recognition System
Similarity Measure Construction Using Fuzzy Entropy and Distance Measure
An Improved Harmony Search Algorithm for the Location of Critical Slip Surfaces in Slope Stability Analysis
Using Dynamic Multi-Swarm Particle Swarm Optimizer to Improve the Image Sparse Decomposition Based on Matching Pursuit
Graph-Based Anomaly Detection via Attention Mechanism
Exploration Strategy Related Design Considerations of WSN-Aided Mobile Robot Exploration Teams
A Multiway Semi-supervised Online Sequential Extreme Learning Machine for Facial Expression Recognition with Kinect RGB-D Images
A PKI Based Digital Rights Management System for Safe Playback
Measuring Protein Structural Similarity by Maximum Common Edge Subgraphs
EMD Based Power Spectral Pattern Analysis for Quasi-Brain-Death EEG
ElevPatch: An Adversarial Patch Attack Scheme Based on YOLO11 Object Detector
Expected Value Model and Algorithm for Network Bottleneck Capacity Expansion Under Fuzzy Environment
Optimal Design of Passive Power Filters Based on Multi-objective Cultural Algorithms
Two-Dimensional Sparse Principal Component Analysis for Palmprint Recognition
Joint Deep Recurrent Network Embedding and Edge Flow Estimation
Numerical Knowledge Representation Learning and Link Prediction over Knowledge Graph
The Covariance Constraint Control Method of Fault Detect for Complicated Systems
RDP-FedAB: A Federated Learning Framework Balancing Privacy Protection and Model Performance
A Covering-Based Pessimistic Multigranulation Rough Set
Topographic Modulations of Neural Oscillations in Spiking Networks
An Open Source Web Browser for Visually Impaired
A DEA-Benchmarking Optimization Model and Method Based on the Theory of Maximum Entropy
Mobile Phone Number Management System Using an X-internet Approach
A Hybrid Particle Swarm Optimization for Binary CSPs
CPMA: Spatio-Temporal Network Prediction Model Based on Convolutional Parallel Multi-head Self-attention
Abnormal Driving Detection Based on Human Pose Estimation and Facial Key Points Detection
Position Accuracy Improvement of Robots having Closed-Chain Mechanisms
DISRec: Dual-Interest Sequential Recommendation with Temporal and Frequency Enhancement
A Similarity-Based Approach for Shape Classification Using Region Decomposition
Feature Selection Techniques, Company Wealth Assessment and Intra-sectoral Firm Behaviours
Discrete Artificial Electric Field Optimization Algorithm for Graph Coloring Problem
Sequence-Based Prediction of Protein-Protein Interactions Using Random Tree and Genetic Algorithm
Conditional Value at Risk Methodology under Fuzzy-Stochastic Approach
A Trapezoidal Fuzzy Broad Learning System Based on Distance Correlation
Tourism Network Comments Sentiment Analysis and Early Warning System Based on Ontology
Measure of Certainty with Fuzzy Entropy Function
Fuzzy Data Clustering Using Artificial Immune Network
Water Wave Optimization for the Multidimensional Knapsack Problem
Adaptive Image Steganography Based on Edge Detection Over Dual-Tree Complex Wavelet Transform
Multiscale and Multidimensional Lightweight Network for Small-Target Detection in UAV Images
Chaotic Neural Network with Initial Value Reassigned and Its Application
Prompt-Based and Modality-Semantic Enhanced Multimodal Recommendation
A New Learning Algorithm for Function Approximation by Encoding Additional Constraints into Feedforward Neural Network
Simplex Bat Algorithm for Solving System of Non-linear Equations
Improving Deep Learning Accuracy with Noisy Autoencoders Embedded Perturbative Layers
A Two-View CoTraining Rule Induction System for Information Extraction
A "Content-Behavior" Learner Model for Adaptive Learning System
GA-Based Resource-Constrained Project Scheduling with the Objective of Minimizing Activities' Cost
DBPrompt: A Database Anomaly Operation Detection and Analysis via Prompt Learning
Reducing Grammar Errors for Translated English Sentences
A Study on the P3PProblem
Dependent Source Separation with Nonparametric Non-Gaussianity Measure
A Variable Neighborhood Search Approach for the Capacitated m-Ring-Star Problem
Graph Embedding-Based Deep Multi-view Clustering
A Hybrid Electromagnetism-Like Algorithm for Single Machine Scheduling Problem
Robotic Wheelchair Moving with Caregiver Collaboratively
A Topic-Specific Web Crawler with Concept Similarity Context Graph Based on FCA
DefGAN-Im: Adversarial Industrial Defect Synthesis with Conditional Feature Disentanglement on Imbalanced Datasets
Multi-task Learning Based on Dense Feature Pyramid Network and Multi-scale Attention for Class-Imbalanced Hyperspectral Image Classification
Audio-Visual Salient Object Detection
Distributed Computing Paradigm for Target Classification in Sensor Networks
EBFP: Example-Based Further Pre-training
EGAP-YOLO: An Efficient Crack Detection Model Based on YOLO Architecture
Lie Detection from Speech Analysis Based on K-SVD Deep Belief Network Model
A Network Protocol Reverse Engineering Method Based on Dynamic Taint Propagation Similarity
Evolutionary Algorithm-Based Background Generation for Robust Object Detection
Dynamic Analysis and Simulation for Two Different Chaos-Like Stochastic Neural Firing Patterns Observed in Real Biological System
Human Face Recognition Using Modified Hausdorff ARTMAP
LWSpace: A Multi-scale State Space Framework for Enhanced Time Series Forecasting
Multi-granularity Prompts for Topic Shift Detection in Dialogue
AFDS-Net: An Attention-Fused Depthwise Separable Network for Acoustic Scene Classification
An Efficient Approach for Fish Bone Detection Based on Image Preprocessing and Particle Swarm Clustering
Anatomy-Aware Mixture of Experts for Medical Vision-Language Pre-training
Neighborhood Preserving Projections (NPP): A Novel Linear Dimension Reduction Method