A neural network and optimization based lung cancer detection system in CT images
C Venkatesh, K Ramana, SY Lakkisetty… - Frontiers in public …, 2022 - frontiersin.org
One of the most common causes of death from cancer for both women and men is lung
cancer. Lung nodules are critical for the screening of cancer and early recognition permits …
cancer. Lung nodules are critical for the screening of cancer and early recognition permits …
Advancing lung cancer diagnosis with bio-inspired algorithms: a comprehensive assessment
Lung cancer is a prevalent and deadly disease with a high global incidence rate. For
efficient treatment with a positive prognosis for patients, early identification with precise …
efficient treatment with a positive prognosis for patients, early identification with precise …
[PDF][PDF] Analysis and prediction of COVID-19 by using recurrent LSTM neural network model in machine learning
NP Dharani, P Bojja - … Journal of Advanced Computer Science and …, 2022 - academia.edu
As we all know that corona virus is announced as pandemic in the world by WHO. It is
spreaded all over the world with few days of time. To control this spreading, every citizen …
spreaded all over the world with few days of time. To control this spreading, every citizen …
IoT based lung cancer detection using machine learning and cuckoo search optimization
V Chapala, P Bojja - International Journal of Pervasive Computing …, 2021 - emerald.com
Purpose Detecting cancer from the computed tomography (CT) images of lung nodules is
very challenging for radiologists. Early detection of cancer helps to provide better treatment …
very challenging for radiologists. Early detection of cancer helps to provide better treatment …
Optimal technique of tumor detection and prediction of livestock by deep neural network with tensorflow and keras
In this paper, we emphasis on the method by which a sick livestock can be diagnosed of the
probable infections and predict the type of disease. Proposed an approach to distinguish …
probable infections and predict the type of disease. Proposed an approach to distinguish …
Lung cancer detection using bio-inspired algorithm in ct scans and secure data transmission through iot cloud
C Venkatesh, P Bojja - International Journal of Advanced …, 2020 - search.proquest.com
Primary recognition of pulmonary cancer nodules eloquently increases the odds of survival,
also leads it solider problem to resolve, as it often relies on a tomography scan filmic …
also leads it solider problem to resolve, as it often relies on a tomography scan filmic …
The sensitivity analysis of service and waiting costs of a multi server queuing model
SV Prasad, R Donthi, MK Challa - IOP Conference Series …, 2020 - iopscience.iop.org
Queuing theory deals with waiting lines and queues are usually appear at the service
providers. Some results regarding the probable number of customers, the probable waiting …
providers. Some results regarding the probable number of customers, the probable waiting …
Detection of Abnormalities in COVID-19 Infected Human Respiratory System using Accelerometer with the aid of Machine Learning.
K KIRAN, S SHAKEELA, D Kalyan… - International …, 2020 - search.ebscohost.com
Present pandemic situation leads to a lot of research in direction of human respiratory
system issues and identifying the abnormalities in it. For real time recognition of respiratory …
system issues and identifying the abnormalities in it. For real time recognition of respiratory …
Analysis of Mathematical Model of Support Vector Machine Techniques for early Prediction of Medical Diseases.
PR Kumari, A GALLA… - International Journal of …, 2020 - search.ebscohost.com
The mathematical model of Support Vector Machine (SVM) will strong foundation offers
upright approach in solving data science problems. In the perspective of mathematics, the …
upright approach in solving data science problems. In the perspective of mathematics, the …