Computational Intelligence and Neuroscience

Classification of Task-State fMRI Data Based on Circle-EMD and Machine Learning

Generative Adversarial Network Technologies and Applications in Computer Vision

A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers

A Species Conservation-Based Particle Swarm Optimization with Local Search for Dynamic Optimization Problems

Channel and Feature Selection for a Motor Imagery-Based BCI System Using Multilevel Particle Swarm Optimization

Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules

Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme

Design and Performance Evaluation of a Deep Neural Network for Spectrum Recognition of Underwater Targets

Modified Support Vector Machine for Detecting Stress Level Using EEG Signals

Algorithms for Investment Project Distribution on Regions

A Cross-Reference Line Method Based Multiobjective Evolutionary Algorithm to Enhance Population Diversity

Density Peaks Clustering by Zero-Pointed Samples of Regional Group Borders

High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks

Cross-Modal Search for Social Networks via Adversarial Learning

A Novel Genetic Algorithm-Based Optimization Framework for the Improvement of Near-Infrared Quantitative Calibration Models

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents: 2020

Classification of Task-State fMRI Data Based on Circle-EMD and Machine Learning

Generative Adversarial Network Technologies and Applications in Computer Vision

A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers

A Species Conservation-Based Particle Swarm Optimization with Local Search for Dynamic Optimization Problems

Channel and Feature Selection for a Motor Imagery-Based BCI System Using Multilevel Particle Swarm Optimization

Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules

Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme

Design and Performance Evaluation of a Deep Neural Network for Spectrum Recognition of Underwater Targets

Modified Support Vector Machine for Detecting Stress Level Using EEG Signals

Algorithms for Investment Project Distribution on Regions

A Cross-Reference Line Method Based Multiobjective Evolutionary Algorithm to Enhance Population Diversity

Density Peaks Clustering by Zero-Pointed Samples of Regional Group Borders

High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks

Cross-Modal Search for Social Networks via Adversarial Learning

A Novel Genetic Algorithm-Based Optimization Framework for the Improvement of Near-Infrared Quantitative Calibration Models