Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Shiva Reddy"'
Autor:
Rao Yanamadni Venkata, Karthikeya Telakapalli, Shiva Reddy Rajamuri, Gowtham Somarouthu, Kiran Goud Shivaghoni, Vijendar Reddy G., Vladimirovich Kotov Evgeny
Publikováno v:
MATEC Web of Conferences, Vol 392, p 01092 (2024)
Motion or inertial sensors, like the accelerometer and gyroscope that are frequently found in smartphones and smartwatches, can measure the acceleration and angular velocity of bodily movements and be used to teach bots so that they may guess human a
Externí odkaz:
https://doaj.org/article/484b42b8518b41728fb009c9173b5712
Publikováno v:
Geomatics, Vol 2, Iss 1, Pp 107-124 (2022)
This research work aims to study the effect of training parameter concept and sample size in the process of classification by using a fuzzy Possibilistic c-Means (PCM) approach for Pigeon Pea specific crop mapping. For specific class extraction, the
Externí odkaz:
https://doaj.org/article/28d2c6188a3c4bb0804c746bf3a6f21d
Publikováno v:
Environmental Sciences Proceedings, Vol 25, Iss 1, p 59 (2023)
A morphometric analysis and its comparison was carried out using two multi-resolution DEMs-MERIT and FABDEM for a region in North Eastern Himalayas. The study area includes districts of Kamrup Rural, Kamrup Metropolitan, Dhubri, Bongaigaon, Nalbari,
Externí odkaz:
https://doaj.org/article/1f4cf0abdf05477eaeff8c5f60507582
Autor:
Ping Wang, Chunlong Zhang, Weidong Li, Bo Zhai, Xian Jiang, Shiva Reddy, Hongchi Jiang, Xueying Sun
Publikováno v:
Cell Communication and Signaling, Vol 18, Iss 1, Pp 1-11 (2020)
Abstract Background Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy and its mortality continues to rise globally. Because of its high heterogeneity and complex molecular landscapes, published gene signatures have demonstrated lo
Externí odkaz:
https://doaj.org/article/83c5b6294abe44ddba289a5517bb5259
Publikováno v:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 7, Iss 29 (2021)
INTRODUCTION: Diabetic foot ulcer (DFU) is a complication of diabetes that affects most of the diabetic patients. It will cause open wounds on the foot. Untreated DFU will lead to amputation and infection, which results in removal of foot or leg. As
Externí odkaz:
https://doaj.org/article/b889ddddc8d6476db5651187aac3a6b1
Publikováno v:
EAI Endorsed Transactions on Scalable Information Systems, Vol 8, Iss 31 (2021)
One of the main areas where machine learning (ML) techniques are used vastly is in prediction of diseases. Diabetic neuropathy (DN) disease is a complication of diabetes which causes damage to nerves. Early prediction of DN helps diabetic patient to
Externí odkaz:
https://doaj.org/article/efffa0eebc6c4242a6252a9c9a2b94c3
Publikováno v:
EAI Endorsed Transactions on Scalable Information Systems, Vol 8, Iss 29 (2021)
Diabetic retinopathy is a diabetes complication that effects eyes. It disrupts the vasculature of the sensitive tissue present atthe back of the eye. If this complication is untreated it may lead to blindness. The aim of this work is to train a model
Externí odkaz:
https://doaj.org/article/579d1b5a46054569942e20069c77ed0f
Publikováno v:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 6, Iss 24 (2020)
INTRODUCTION: Diabetic nephropathy is one of the complications of diabetes that causes damage to kidneys. Deep learning techniques are widely used to predict different diseases. OBJECTIVES: The main aim of this work is to develop an effective predict
Externí odkaz:
https://doaj.org/article/36e219c1040344529590af701e1a9acc
Publikováno v:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 6, Iss 24 (2020)
INTRODUCTION: Myocardial infarction (MI) is a type of cardiovascular disease. Cardiovascular disease is the major side effect of diabetes. It causes damage to heart muscle due to interruption in the blood flow. The chance of getting this disease is h
Externí odkaz:
https://doaj.org/article/ed38116be05840cd9be20c0d14668608
Autor:
Shiva Reddy, K., Nisar, Kottakkaran Sooppy, Phani Kumar, N., Park, Choonkil, Yahia, Ibrahim S.
Publikováno v:
In Alexandria Engineering Journal December 2022 61(12):12123-12128