Latent Prototype-Based Clustering: A Novel Exploratory Electroencephalography Analysis Approach

A Comparative Study of Causality Detection Methods in Root Cause Diagnosis: From Industrial Processes to Brain Networks

Epileptogenic Foci Localization with Intracranial EEG Using Effective Connectivity Network Based on Phase Transfer Entropy

Detecting Epileptic Seizures from iEEG with Spectral Envelope Analysis and Deep CNNs

Exploring Dynamic Features of EEG Signals with Slow Feature Analysis for Epileptic Seizure Detection

Slow Component Analysis Based Interictal-Preictal EEG Prediction

EEG-based Seizure Detection Using Generative Model and Deep Learning

An Approach for Detection of Epileptic Seizures from EEGs Considering Ictal-like Non-Ictal Signals

An Approach for Prediction of Epileptic Seizures from EEG Signals through Analysis of Slow Components

Epileptic Seizure Detection by Transfer Learning Considering Ictal-like Non-ictal Signals in Electroencephalogram

Seizure Forecast for Epilepsy patient monitoring Based on Specific Sub-bands Reconstruction

Identification of Epileptic Seizures from Electroencephalogram Using Transfer Learning

A 2-d State Observer Using Particle Filter by Incorporation of Batch-to-Batch Dynamics

Seizure Prediction Based on Specific Sub-waves Reconstruction and Maximum-Relevance, Minimum-Redundancy Feature Selection

A Bayesian Fault Diagnosis Method Incorporating Background Knowledge of Abnormality Signs

Evaluation of the Runtime Intrusion Prevention of ARM-Based Systems in Wireless Networks

Experimental Evaluation of the Defense Capability of ARM-based Systems against Buffer Overflow Attacks in Wireless Networks

Basis-Prediction Method for Short-Term Traffic Flow Prediction and Its Application

Short-term traffic flow prediction and its application based on the basis-prediction model and local weighted partial least squares method

Basis selection in spectral learning of predictive state representations

Bayesian hybrid state estimation for unequal-length batch processes with incomplete observations

A Bayesian Approach to Control Loop Performance Diagnosis Incorporating Background Knowledge of Response Information

Synchronized Bayesian state estimation in batch processes using a two-dimensional particle filter

Bayesian fault diagnosis using principal component analysis approach with continuous evidence

Bayesian approach to fault diagnosis with ambiguous historical modes

Integrating principal component analysis and optimal histogram estimation for Bayesian control loop diagnosis

Integration of Multi-Feature Fusion and PLS-DA in Protein Secondary Structure Prediction

Fault diagnosis of joint Bayesian method and LDA feature extraction in complicated industrial process

A new small-world network model for instant messaging chat network

Identification and predictive control for a circulation fluidized bed boiler

Structure-specific neural networks for parallel computation of all types of moore-penrose pseudoinverses

Pattern analysis approach reveals restriction enzyme cutting abnormalities and other cDNA library construction artifacts using raw EST data

Prediction of Plant Poly(A) Sites Based on GHMM-RWT

Hybrid intelligent control scheme of a polymerization kettle for ACR production

An intelligent control scheme for nonlinear time-varying systems with time delay

Modeling and fuzzy controller design for ACR polymerizing-kettles

The data platform for process industry to integrate Production Evaluation, Optimizing Control and Remote Monitoring