WakaVT: A Sequential Variational Transformer for Waka Generation
A Hybrid Approach using the Fuzzy Logic System and the Modified Genetic Algorithm for Prediction of Skin Cancer
Synchronization of Quaternion Valued Neural Networks with Mixed Time Delays Using Lyapunov Function Method
An Adaptive Learning Rate Schedule for SIGNSGD Optimizer in Neural Networks
High Parameter Frequency Resolution Encoding Scheme for Spatial Audio Objects Using Stacked Sparse Autoencoder
Diffusion Modelling
MixNet: A Robust Mixture of Convolutional Neural Networks as Feature Extractors to Detect Stego Images Created by Content-Adaptive Steganography
Application of Supervised Machine Learning Methods on the Multidimensional Knapsack Problem
Classification Algorithm Using Branches Importance
An Effective Feature Extraction Approach Based on Spectral-Gabor Space Discriminant Analysis for Hyperspectral Image
Exploring Complex Dependencies for Multi-modal Semantic Trajectory Prediction
Prediction of Heart Attacks Using Biological Signals Based on Recurrent GMDH Neural Network
Syncretic Feature Selection for Machine Learning-Aided Prognostics of Hepatitis
Kinematic Control of Manipulator with Remote Center of Motion Constraints Synthesised by a Simplified Recurrent Neural Network
High-Accuracy Spiking Neural Network for Objective Recognition Based on Proportional Attenuating Neuron
An Efficient Dataflow Mapping Method for Convolutional Neural Networks
Density Weighted Twin Support Vector Machines for Binary Class Imbalance Learning
Emotional Neural Network Based on Improved CLPSO Algorithm For Time Series Prediction
3D Point Convolutional Network for Dense Scene Flow Estimation
Financial Distress Prediction with a Novel Diversity-Considered GA-MLP Ensemble Algorithm
A Dynamically Stabilized Recurrent Neural Network
Fixed-Time Fuzzy Adaptive Tracking Control for Output-Constrained Uncertain Nonlinear Systems in Nonstrict-Feedback Form
Deep Recurrent Neural Network Architecture of High Order Indirect Integration Method
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning
A One-Layer Recurrent Neural Network for Interval-Valued Optimization Problem with Linear Constraints
Continuous Recurrent Neural Networks Based on Function Satlins
DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning
LMI Conditions for Fractional Exponential Stability and Passivity Analysis of Uncertain Hopfield Conformable Fractional-Order Neural Networks
Lagrange Stability of BAM Quaternion-Valued Inertial Neural Networks via Auxiliary Function-Based Integral Inequalities
A Novel Multi-scale Deep Neural Framework for Script Invariant Text Detection
Deep Active Autoencoders for Outlier Detection
Continuous Positioning with Recurrent Auto-Regressive Neural Network for Unmanned Surface Vehicles in GPS Outages
Research on Visual Question Answering Based on GAT Relational Reasoning
A Entity Relation Extraction Model with Enhanced Position Attention in Food Domain
Fast Anomaly Detection Based on 3D Integral Images
