Výsledky vyhledávání - "V. Dhilip Kumar"

Akademický článek

'Quo Vadis Diagnosis': Application of Informatics in Early Detection of Pneumothorax

Autor: V. Dhilip Kumar, P. Rajesh, Oana Geman, Maria Daniela Craciun, Muhammad Arif, Roxana Filip

Publikováno v: Diagnostics, Vol 13, Iss 7, p 1305 (2023)

A pneumothorax is a condition that occurs in the lung region when air enters the pleural space—the area between the lung and chest wall—causing the lung to collapse and making it difficult to breathe. This can happen spontaneously or as a result

Externí odkaz: https://doaj.org/article/c014e8f744614d3f857c2bd30d538bd9

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Akademický článek

A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis

Autor: Almas Begum, V. Dhilip Kumar, Junaid Asghar, D. Hemalatha, G. Arulkumaran

Publikováno v: Complexity, Vol 2022 (2022)

The most predominant kind of disease that is normal among ladies is breast cancer. It is one of the significant reasons among ladies, regardless of huge endeavors to stay away from it through screening developers. An automatic detection system for di

Externí odkaz: https://doaj.org/article/d82da28e9b7641b08b47d820ff1b850c

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Akademický článek

A Forecasting Approach to Cryptocurrency Price Index Using Reinforcement Learning

Autor: L. Thanga Mariappan, J. Arun Pandian, V. Dhilip Kumar, Oana Geman, Iuliana Chiuchisan, Carmen Năstase

Publikováno v: Applied Sciences, Vol 13, Iss 4, p 2692 (2023)

Cryptocurrency has emerged as a well-known significant component with both economic and financial potential in recent years. Unfortunately, Bitcoin acquisition is not simple, due to uneven business and significant rate fluctuations. Traditional appro

Externí odkaz: https://doaj.org/article/866496ee716049679c004a44d80e3e85

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Akademický článek

Plant Disease Detection Using Deep Convolutional Neural Network

Autor: J. Arun Pandian, V. Dhilip Kumar, Oana Geman, Mihaela Hnatiuc, Muhammad Arif, K. Kanchanadevi

Publikováno v: Applied Sciences, Vol 12, Iss 14, p 6982 (2022)

In this research, we proposed a novel 14-layered deep convolutional neural network (14-DCNN) to detect plant leaf diseases using leaf images. A new dataset was created using various open datasets. Data augmentation techniques were used to balance the

Externí odkaz: https://doaj.org/article/447404f02dea49aa99136332453ca533

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Akademický článek

State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors: A Review

Autor: M. Manoj, V. Dhilip Kumar, Muhammad Arif, Elena-Raluca Bulai, Petru Bulai, Oana Geman

Publikováno v: Sensors, Vol 22, Iss 6, p 2088 (2022)

One of the major issues facing the world is the resource of safe water, which is decreasing rapidly due to climatic changes, contamination, and pollution. The most affected living beings are underwater life forms as they eventually take these toxins

Externí odkaz: https://doaj.org/article/13d930fa73974cd780d6934b4d05f20c

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