Global Optimization of Binary Quadratic Programming: A Neural Network Based Algorithm and Its FPGA Implementation
Two Matrix-Type Projection Neural Networks for Matrix-Valued Optimization with Application to Image Restoration
Integrating Classical Control into Reinforcement Learning Policy
An Effective Microscopic Detection Method for Automated Silicon-Substrate Ultra-microtome (ASUM)
Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method
N2SkyC: User Friendly and Efficient Neural Network Simulation Fostering Cloud Containers
A Wiener Causality Defined by Divergence
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors
Multi-object Spatial–Temporal Anomaly Detection Using an LSTM-Based Framework
Balanced Gradient Training of Feed Forward Networks
Exponential Synchronization of Delayed Switching Genetic Oscillator Networks via Mode-Dependent Partial Impulsive Control
Enhancing Top-N Recommendation Using Stacked Autoencoder in Context-Aware Recommender System
Enhanced Non-parametric Sequence-based Learning Algorithm for Outlier Detection in the Internet of Things
Detection-Oriented Backbone Trained from Near Scratch and Local Feature Refinement for Small Object Detection
Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning
Formal Derivation of Mesh Neural Networks with Their Forward-Only Gradient Propagation
Extraction of Competitive Factors in a Competitor Analysis Using an Explainable Neural Network
Attention-Based Deep Gated Fully Convolutional End-to-End Architectures for Time Series Classification
Estimation of the Domain of Attraction of Discrete-Time Impulsive Cohen-Grossberg Neural Networks Model With Impulse Input Saturation
Weighted Discriminative Sparse Representation for Image Classification
Global convergence of Negative Correlation Extreme Learning Machine
Sampling Active Learning Based on Non-parallel Support Vector Machines
User’s Review Habits Enhanced Hierarchical Neural Network for Document-Level Sentiment Classification
Feature Extraction via Sparse Fuzzy Difference Embedding (SFDE) for Robust Subspace Learning
A Comprehensive Study on VLAD
Approximate Analytic Solution of Burger Huxley Equation Using Feed-Forward Artificial Neural Network
Multi-residual Connection Network for Edge Detection
Exponential Synchronization of Stochastic Neural Networks with Time-Varying Delays and Lévy Noises via Event-Triggered Control
Multi-Objective Memetic Algorithms with Tree-Based Genetic Programming and Local Search for Symbolic Regression
Performance of Genetic Algorithm and Levenberg Marquardt Method on Multi-Mother Wavelet Neural Network Training for 3D Huge Meshes Deformation: A Comparative Study
A New Method for Separating EMI Signal Based on CEEMDAN and ICA
Related Study Based on Otsu Watershed Algorithm and New Squeeze-and-Excitation Networks for Segmentation and Level Classification of Tea Buds
NRIC: A Noise Removal Approach for Nonlinear Isomap Method
Wasserstein Distance-Based Auto-Encoder Tracking
A Survey of Algorithmic and Hardware Optimization Techniques for Vision Convolutional Neural Networks on FPGAs
Editorial Expression of Concern: No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features
