Advancing Evolution Characterization in Dynamic Networks: A Quantum Walk and Thermodynamics Perspective

Application of improved YOLOv5 for illegal wearing detection in electric power construction

Image feature learning combined with attention-based spectral representation for spatio-temporal photovoltaic power prediction

Position-aware and structure emb e dding networks for deep graph matching

PA-GM: POSITION-AWARE LEARNING OF EMBEDDING NETWORKS FOR DEEP GRAPH MATCHING

Lithium battery health degree and residual life prediction algorithm

Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation

Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision

Multi-view short-term photovoltaic power prediction combining satellite images feature learning and graph mutual information feature representation

Knowledge Graph Completion for Power Grid Main Equipment Using Pretrained Language Models

Power Grid Knowledge Graph Completion with Complex Structure Learning

Hybrid CNN-LSTM Model for Multi-industry Electricity Demand Prediction

Sliding Window GBDT for Electricity Demand Forecasting

Improve Knowledge Graph Completion for Diagnosing Defects in Main Electrical Equipment

A Novel Approach to Analyzing Defects: Enhancing Knowledge Graph Embedding Models for Main Electrical Equipment

Knowledge Graph-Based Approach for Main Transformer Defect Grade Analysis

Explainable Knowledge Reasoning on Power Grid Knowledge Graph

ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy

LiDAR-based localization using universal encoding and memory-aware regression (vol 128, 108685, 2022)

Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation

Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone

LiDAR-based localization using universal encoding and memory-aware regression

DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds

Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition

Two-Level Graph Neural Network

Statistical mechanical analysis for unweighted and weighted stock market networks

Multimodal fusion for indoor sound source localization

Thermodynamic motif analysis for directed stock market networks

Blockchain Based Trusted Identity Authentication in Ubiquitous Power Internet of Things

Two-Pathway Style Embedding for Arbitrary Voice Conversion

Learning EEG topographical representation for classification via convolutional neural network

Semi-Supervised Face Frontalization in the Wild

Graph Motif Entropy for Understanding Time-Evolving Networks

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis

Single image super resolution via neighbor reconstruction

Structural network inference from time-series data using a generative model and transfer entropy

Depth-based subgraph convolutional auto-encoder for network representation learning

Quantum-based subgraph convolutional neural networks

Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks

Depth-based Subgraph Convolutional Neural Networks

Weighted Patches Based Face Super-Resolution Via Adaboost

Polar Transformation on Image Features for Orientation-Invariant Representations

Recovering variations in facial albedo from low resolution images

Recovering variations in facial albedo from low resolution images

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions

Face Frontalization Using an Appearance-Flow-based Convolutional Neural Network

Single image super resolution via neighbor reconstruction

A preliminary survey of analyzing dynamic time-varying financial networks using graph kernels

Directed network analysis using transfer entropy component analysis

A mixed entropy local-global reproducing kernel for attributed graphs

Deep multi-task learning to recognise subtle facial expressions of mental states

H-Net: Neural network for cross-domain image patch matching

A graph-based approach to automated EUS image layer segmentation and abnormal region detection

Identifying the most informative features using a structurally interacting elastic net

Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks

Face image super-resolution via weighted patches regression

Joint hypergraph learning and sparse regression for feature selection

Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval

Deep Face Model Compression Using Entropy-Based Filter Selection

Study of TCM clinical records based on LSA and LDA SHTDT model

Discriminative Lasso

Discriminative sparse representation for face recognition

P2P lending analysis using the most relevant graph-based features

High-order covariate interacted Lasso for feature selection

Quantum kernels for unattributed graphs using discrete-time quantum walks

High-order graph matching kernel for early carcinoma EUS image classification

Unsupervised feature selection by joint graph learning

Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model

An aligned subtree kernel for weighted graphs

Isometric mapping hashing

An Edge-Based matching kernel through Discrete-Time quantum walks

An edge-based matching kernel for graphs through the directed line graphs

Coupled-feature hypergraph representation for feature selection

Adaptive graph learning for unsupervised feature selection

A high-order depth-based graph matching method

A quantum Jensen-Shannon graph kernel using discrete-time quantum walks

Unsupervised feature selection by graph optimization

Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models

A hypergraph based semi-supervised band selection method for hyperspectral image classification