Picture for Seyedali Mirjalili

Seyedali Mirjalili

Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model

Add code
Sep 26, 2024
Figure 1 for Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
Figure 2 for Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
Figure 3 for Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
Figure 4 for Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
Viaarxiv icon

Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs

Add code
Oct 05, 2023
Viaarxiv icon

Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes

Add code
May 24, 2023
Figure 1 for Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes
Figure 2 for Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes
Figure 3 for Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes
Figure 4 for Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes
Viaarxiv icon

Evolving Deep Neural Network by Customized Moth Flame Optimization Algorithm for Underwater Targets Recognition

Add code
Feb 16, 2023
Viaarxiv icon

Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network

Add code
Apr 26, 2022
Figure 1 for Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network
Figure 2 for Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network
Figure 3 for Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network
Figure 4 for Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network
Viaarxiv icon

Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review

Add code
Jan 27, 2022
Viaarxiv icon

Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems

Add code
Jan 15, 2022
Figure 1 for Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems
Figure 2 for Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems
Figure 3 for Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems
Figure 4 for Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems
Viaarxiv icon

ANA: Ant Nesting Algorithm for Optimizing Real-World Problems

Add code
Dec 04, 2021
Figure 1 for ANA: Ant Nesting Algorithm for Optimizing Real-World Problems
Figure 2 for ANA: Ant Nesting Algorithm for Optimizing Real-World Problems
Figure 3 for ANA: Ant Nesting Algorithm for Optimizing Real-World Problems
Figure 4 for ANA: Ant Nesting Algorithm for Optimizing Real-World Problems
Viaarxiv icon

A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network

Add code
Nov 16, 2021
Figure 1 for A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
Figure 2 for A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
Figure 3 for A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
Figure 4 for A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
Viaarxiv icon

A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model

Add code
Nov 16, 2021
Figure 1 for A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model
Figure 2 for A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model
Figure 3 for A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model
Figure 4 for A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model
Viaarxiv icon