Computational Intelligence and Neuroscience

Machine Learning Model for Computer-Aided Depression Screening among Young Adults Using Wireless EEG Headset

A Study Based on Network Pharmacology Decoding the Multi-Target Mechanism of Duhuo Jisheng Decoction for the Treatment of Intervertebral Disc Degeneration

Thai Word Segmentation with a Brain-Inspired Sparse Distributed Representations Learning Memory

Integrating BERT Embeddings and BiLSTM for Emotion Analysis of Dialogue

Speech Deception Detection Based on EMD and Temporal Neural Network

Popular Tag Recommendation by Neural Network in Social Media

Swarm Intelligence to Face IoT Challenges

Adaptive Optimal Control of Hybrid Electric Vehicle Power Battery via Policy Learning

A Survey on Learning Objects’ Relationship for Image Captioning

Gas Concentration Monitoring Prewarning Based on Adaptive Prediction and Feature Extraction

Localized Simple Multiple Kernel K-Means Clustering with Matrix-Induced Regularization

End to End Multitask Joint Learning Model for Osteoporosis Classification in CT Images

A Deep-Learning Framework for Analysing Students’ Review in Higher Education

Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease

Road-Type Classification with Deep AutoEncoder

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents

Machine Learning Model for Computer-Aided Depression Screening among Young Adults Using Wireless EEG Headset

A Study Based on Network Pharmacology Decoding the Multi-Target Mechanism of Duhuo Jisheng Decoction for the Treatment of Intervertebral Disc Degeneration

Thai Word Segmentation with a Brain-Inspired Sparse Distributed Representations Learning Memory

Integrating BERT Embeddings and BiLSTM for Emotion Analysis of Dialogue

Speech Deception Detection Based on EMD and Temporal Neural Network

Popular Tag Recommendation by Neural Network in Social Media

Swarm Intelligence to Face IoT Challenges

Adaptive Optimal Control of Hybrid Electric Vehicle Power Battery via Policy Learning

A Survey on Learning Objects’ Relationship for Image Captioning

Gas Concentration Monitoring Prewarning Based on Adaptive Prediction and Feature Extraction

Localized Simple Multiple Kernel K-Means Clustering with Matrix-Induced Regularization

End to End Multitask Joint Learning Model for Osteoporosis Classification in CT Images

A Deep-Learning Framework for Analysing Students’ Review in Higher Education

Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease

Road-Type Classification with Deep AutoEncoder