Neural Processing Letters（NPL ）的JUNE 2021, ISSUE 3论文列表

Neural Processing Letters （NPL） - June 2021, issue 3 论文列表

点击这里查看 Neural Processing Letters 的JCR分区、影响因子等信息

卷期号： June 2021, issue 3

发布时间：

卷期年份： 2021

卷期官网： https://link.springer.com/journal/11063/volumes-and-issues/53-3

本期论文列表

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