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Prominent Rule Control-based Internet of Things: Poultry Farm Management System
In this article, the various poultry farm parameters such as antitheft, fire protection,
temperature, humidity, oxygen, carbon-di-oxide, ammonia gases, and light of the poultry …
temperature, humidity, oxygen, carbon-di-oxide, ammonia gases, and light of the poultry …
Parkinson's Disease Prediction Using Machine Learning Algorithm
S Sandhiya, GVV Rao, V Prabhu… - … on Power, Energy …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is a progressive central nervous system disorder characterized by
tremors, vocal cord disorders, bradykinesia, and slurred, slow speech. After Alzheimer's …
tremors, vocal cord disorders, bradykinesia, and slurred, slow speech. After Alzheimer's …
Deep learning based predictive analysis of BLDC motor control
Predictive Analysis using deep learning techniques are emerging in several engineering
domains. Artificial Neural Networks consists of network of layers to learn, process and …
domains. Artificial Neural Networks consists of network of layers to learn, process and …
Securing IIoT sensors communication using blockchain technology
Industrial IoT (IIoT) advances organisations to the next level by tracing and managing all
entity activities. Moreover, the deployment, dependency, and interaction of these wireless …
entity activities. Moreover, the deployment, dependency, and interaction of these wireless …
Fish biomass estimation based on object detection using YOLOv7
Fish biomass estimation is an important parameter in aquaculture to measure fish health
and identify fish's feeding patterns and maturity levels. Fisheries conduct regular …
and identify fish's feeding patterns and maturity levels. Fisheries conduct regular …
Gradient-driven texture-normalized liver tumor detection using deep learning
R Kiruthiga, MA Abbas, S Ashok, KM Raj… - … on Power, Energy …, 2022 - ieeexplore.ieee.org
Prior methods had trouble develo** an effective segmentation framework model for
detecting liver tumors from CT images, leading to subpar results in terms of both visual …
detecting liver tumors from CT images, leading to subpar results in terms of both visual …
Machine learning and wireless sensor network based library automation system
Remote sensor network and radio frequency identification innovation are on the world's
outskirts. In this age of data innovation, the library as a repository for information gathering …
outskirts. In this age of data innovation, the library as a repository for information gathering …
Smart Class-II Device with Integrated Medi-Tools
In the 21st century, technology has achieved unexpected growth in the world and this is not
yet completed we are going to experience more innovative technology in upcoming years …
yet completed we are going to experience more innovative technology in upcoming years …
Social Media Personal Event Notifier Using NLP and Deep Learning
P Ganeshkumar, AK BR… - … on Power, Energy …, 2022 - ieeexplore.ieee.org
Social media apps have become very promising and omnipresent in daily life. Most social
media apps are used to deliver vital information to those nearby and far away. As our lives …
media apps are used to deliver vital information to those nearby and far away. As our lives …
A Framework of Medical Image Segmentation using Edge Stop Function based on Contour Model
Liver cancer is a major taker of lives in recent years. Generally, a liver cancer death rate is
very high because the disease shows no symptoms and it's often not caught until the final …
very high because the disease shows no symptoms and it's often not caught until the final …