Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
Sci Rep ; 14(1): 512, 2024 01 04.
Artigo em Inglês | MEDLINE | ID: mdl-38177254

RESUMO

Contrary to popular belief, agriculture is becoming more data-driven with artificial intelligence and Internet-of-Things (IoT) playing crucial roles. In this paper, the integrated processing executed by various sensors combined as an IoT pack and driving an intelligent agriculture management system designed for rainfall prediction and fruit health monitoring have been included. The proposed system based on an AI aided model makes use of a Convolutional Neural Network (CNN) with long short-term memory (LSTM) layer for rainfall prediction and a CNN with SoftMax layer along with a few deep learning pre-trained models for fruit health monitoring. Another model that works as a combined rainfall predictor and fruit health recognizer is designed using a CNN + LSTM and a multi-head self-attention mechanism which proves to be effective. The entire system is cloud resident and available for use through an application.


Assuntos
Inteligência Artificial , Frutas , Inteligência , Agricultura , Bandagens
2.
Ann Neurosci ; 30(1): 33-39, 2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-37313333

RESUMO

Background: Stroke is a major leading global health complication. Identification and management of risk factors associated with stroke can help in prior detection, prevention, and improvement in patient care. Purpose: To investigate the prevalence of hyperhomocysteinemia (HHcy) and Vitamins B6, B12, and folate deficiency in stroke patients and also to assess other risk factors associated with ischemic and hemorrhagic stroke. Methods: Detail history of all the subjects in the study including history of hypertension, anemia, fasting glucose, carotid artery thickness, smoking, alcohol, and dietary intake was recorded. Standard assays for homocysteine (Hcy), Vitamins B6, B12, and folate estimation were done. Lipid and renal profile tests were also performed. The prevalence and odds of having HHcy, Vitamins B6, B12, and folate deficiency, and other risk factors in ischemic and hemorrhagic stroke patients were evaluated. Student's t-tests and chi-square tests were done for statistical validation of the data. Results: Prevalence of HHcy and Vitamins B6, B12, and folate deficiency was not observed in ischemic cases. HHcy and folate deficiency was found to be prevalent in hemorrhagic stroke patients. The odds that a person with HHcy and folate deficiency has hemorrhagic stroke was found to be significantly high. Conclusion: In our study, high Hcy and low folate levels emerged as risk factors for hemorrhagic stroke.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...