32 hasil

Dynamics analysis, synchronization and FPGA implementation of multiscroll Hopfield neural networks with non-polynomial memristor

Fei Yu; Xinxin Kong; Wei Yao dkk.

Chaos Solitons & Fractals · 2024 · Inggris · OpenAlex Scopus

The number of attractors in a memristor-based multiscroll Hopfield Neural Network (HNN) is typically coupled with the number of polynomials, which leads to a coupling between the computational complexity and resource utilization in circuit implementation. To decouple this relationship, we propose a…

Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells

K.E. ArunKumar; Dinesh V. Kalaga; Ch. Mohan Sai Kumar dkk.

Chaos Solitons & Fractals · 2021 · Inggris · OpenAlex Scopus

Double image encryption algorithm based on neural network and chaos

Zhenlong Man; Jinqing Li; Xiaoqiang Di dkk.

Chaos Solitons & Fractals · 2021 · Inggris · OpenAlex Scopus

To realize the secure transmission of double images, this paper proposes a double image encryption algorithm based on convolutional neural network (CNN) and dynamic adaptive diffusion. This scheme is different from the existing double image encryption technology. According to the characteristics of…

Modelling the spread of COVID-19 with new fractal-fractional operators: Can the lockdown save mankind before vaccination?

Abdon Atangana

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

Matheus Henrique Dal Molin Ribeiro; Ramon Gomes da Silva; Viviana Cocco Mariani dkk.

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions

Petrônio Cândido de Lima e Silva; Paulo Vitor do Carmo Batista; Hélder Seixas Lima dkk.

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

Tanujit Chakraborty; Indrajit Ghosh

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Comparison of deep learning approaches to predict COVID-19 infection

Talha Burak Alakuş; İbrahim Türkoğlu

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India

Parul Arora; Himanshu Kumar; Bijaya Ketan Panigrahi

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique

Aytaç Altan; Seçkin Karasu

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Diagnosis and detection of infected tissue of COVID-19 patients based on lung x-ray image using convolutional neural network approaches

Shayan Hassantabar; Mohsen Ahmadi; Abbas Sharifi

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study

Sourabh Shastri; Kuljeet Singh; Sachin Kumar dkk.

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

A model based study on the dynamics of COVID-19: Prediction and control

Manotosh Mandal; Soovoojeet Jana; Swapan Kumar Nandi dkk.

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Stability analysis and numerical simulation of SEIR model for pandemic COVID-19 spread in Indonesia

Suwardi Annas; Muhammad Isbar Pratama; Muh. Rifandi dkk.

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

A mathematical model for COVID-19 transmission by using the Caputo fractional derivative

Nguyen Huy Tuan; Hakimeh Mohammadi; Shahram Rezapour

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Modeling and forecasting the COVID-19 pandemic in India

Kankan Sarkar; Subhas Khajanchi; Juan Jose Nieto

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images

Emtiaz Hussain; Mahmudul Hasan; Anisur Rahman dkk.

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

A mathematical model for COVID-19 transmission dynamics with a case study of India

Piu Samui; Jayanta Mondal; Subhas Khajanchi

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics

Peipei Wang; Xinqi Zheng; Jiayang Li dkk.

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus

Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks

Suat Toraman; Talha Burak Alakuş; İbrahim Türkoğlu

Chaos Solitons & Fractals · 2020 · Inggris · OpenAlex Scopus