Výsledky vyhledávání

Report

A review of Deep learning Techniques for COVID-19 identification on Chest CT images

Autor: S, Briskline Kiruba, A, Petchiammal, Murugan, D.

The current COVID-19 pandemic is a serious threat to humanity that directly affects the lungs. Automatic identification of COVID-19 is a challenge for health care officials. The standard gold method for diagnosing COVID-19 is Reverse Transcription Po

Externí odkaz: http://arxiv.org/abs/2208.00032

Zobrazit plný text záznamu

Report

Paddy Leaf diseases identification on Infrared Images based on Convolutional Neural Networks

Autor: A, Petchiammal, S, Briskline Kiruba, Murugan, D.

Agriculture is the mainstay of human society because it is an essential need for every organism. Paddy cultivation is very significant so far as humans are concerned, largely in the Asian continent, and it is one of the staple foods. However, plant d

Externí odkaz: http://arxiv.org/abs/2208.00031

Zobrazit plný text záznamu

Report

COVID-19 Disease Identification on Chest-CT images using CNN and VGG16

Autor: S, Briskline Kiruba, A, Petchiammal, Murugan, D.

A newly identified coronavirus disease called COVID-19 mainly affects the human respiratory system. COVID-19 is an infectious disease caused by a virus originating in Wuhan, China, in December 2019. Early diagnosis is the primary challenge of health

Externí odkaz: http://arxiv.org/abs/2207.04212

Zobrazit plný text záznamu

Report

Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking

Autor: A, Petchiammal, S, Briskline Kiruba, Murugan, D., A, Pandarasamy

One of the critical biotic stress factors paddy farmers face is diseases caused by bacteria, fungi, and other organisms. These diseases affect plants' health severely and lead to significant crop loss. Most of these diseases can be identified by regu

Externí odkaz: http://arxiv.org/abs/2205.11108

Zobrazit plný text záznamu