Applied Computational Intelligence and Soft Computing

Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis

An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application

Three-Axes Mems Calibration Using Kalman Filter and Delaunay Triangulation Algorithm

An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems

TOPSIS Method Based on Entropy Measure for Solving Multiple-Attribute Group Decision-Making Problems with Spherical Fuzzy Soft Information

Fuzzy Set and Soft Set Theories as Tools for Vocal Risk Diagnosis

A Comparative Analysis of Traditional SARIMA and Machine Learning Models for CPI Data Modelling in Pakistan

A Two-Phase Pattern Generation and Production Planning Procedure for the Stochastic Skiving Process

Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department

Forged Video Detection Using Deep Learning: A SLR

Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications

Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10)

Local Search-Based Metaheuristic Methods for the Solid Waste Collection Problem

An Intelligent Framework Based on Deep Learning for SMS and e-mail Spam Detection

ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO₂ Signal

Applied Computational Intelligence and Soft Computing

Table of Contents

Table of Contents

Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis

An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application

Three-Axes Mems Calibration Using Kalman Filter and Delaunay Triangulation Algorithm

An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems

TOPSIS Method Based on Entropy Measure for Solving Multiple-Attribute Group Decision-Making Problems with Spherical Fuzzy Soft Information

Fuzzy Set and Soft Set Theories as Tools for Vocal Risk Diagnosis

A Comparative Analysis of Traditional SARIMA and Machine Learning Models for CPI Data Modelling in Pakistan

A Two-Phase Pattern Generation and Production Planning Procedure for the Stochastic Skiving Process

Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department

Forged Video Detection Using Deep Learning: A SLR

Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications

Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10)

Local Search-Based Metaheuristic Methods for the Solid Waste Collection Problem

An Intelligent Framework Based on Deep Learning for SMS and e-mail Spam Detection

ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO₂ Signal

Applied Computational Intelligence and Soft Computing

Table of Contents

Table of Contents

Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis

An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application

Three-Axes Mems Calibration Using Kalman Filter and Delaunay Triangulation Algorithm

An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems

TOPSIS Method Based on Entropy Measure for Solving Multiple-Attribute Group Decision-Making Problems with Spherical Fuzzy Soft Information

Fuzzy Set and Soft Set Theories as Tools for Vocal Risk Diagnosis

A Comparative Analysis of Traditional SARIMA and Machine Learning Models for CPI Data Modelling in Pakistan

A Two-Phase Pattern Generation and Production Planning Procedure for the Stochastic Skiving Process

Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department

Forged Video Detection Using Deep Learning: A SLR

Embedded Parallel Implementation of LDPC Decoder for Ultra-Reliable Low-Latency Communications

Facial Emotion Recognition and Classification Using the Convolutional Neural Network-10 (CNN-10)

Local Search-Based Metaheuristic Methods for the Solid Waste Collection Problem

An Intelligent Framework Based on Deep Learning for SMS and e-mail Spam Detection

ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO2 Signal

ZleepNet: A Deep Convolutional Neural Network Model for Predicting Sleep Apnea Using SpO₂ Signal