Disease Cluster Specific learning for Patient Treatment Prediction on High Dimensional EHR Data

MS Kavitha, GG Sreeja, J Shanthini… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Disease treatment Prediction is considered as significant research in the data analytics in
medical domains. The autoencoder model is found be the highly productive model for …

Recognition of Cotton Plant Diseases Using Deep Learning Architecture

A Haldorai, RB Lincy, M Suriya… - … on Innovative Trends …, 2024 - ieeexplore.ieee.org
Agriculture is a vital component of any nation's economy, and India is renowned for being an
agro-based economy. One of the main objectives in agriculture is to cultivate robust crops …

An Advanced Deep Learning Approach for Primary Osteoporosis Prediction Using Radiographs with Clinical Covariates

R Umamaheswari, D Lakshmi, VS Pandi… - 2023 7th …, 2023 - ieeexplore.ieee.org
A growing worry for world health is osteoporosis as a result of longer life expectancies. Its
early detection, however, is still difficult because the signs are frequently lacking. As a result …

Rice Disease Classification using Deep Learning

M Junaid, MM Iqbal, N Hameed… - Journal of Information …, 2022 - jictra.com.pk
Rice is one of the essential foods for most of the world's population, and its cultivation is
done in large areas of Pakistan. It satisfies the food demand and also plays a vital role in the …

Empowering Rice Farmers: Automated Multi-Classification of Rice Diseases using YOLOv5

V Kukreja, R Sharma, P Das… - 2023 4th IEEE Global …, 2023 - ieeexplore.ieee.org
Rice is a staple grain for a large percentage of the world's population, and agriculture plays
a critical role in maintaining global food production. However, rice infections are a danger to …

[图书][B] Artificial Intelligence for Sustainable Development

A Haldorai, R Babitha Lincy, S Murugan… - 2024 - Springer
Welcome to the world of emerging artificial intelligence (AI) and its various applications for
sustainable development. This book discusses about the trends, techniques, and …

A Modified AI Model for Automatic and Precision Monitoring System of Wildlife in Forest Areas

A Haldorai, S Murugan, M Balakrishnan - Artificial Intelligence for …, 2024 - Springer
The forest is a natural territory for wildlife species like animals, birds, trees, and shrubs.
Precision monitoring of wild animals and birds is important to save the biodiversity. Wild life …

Innovative Communication Protocols And Network Architectures in 5G Technologies

C Senthilkumar, J Vijay, R Sankar… - … for Advancement in …, 2024 - ieeexplore.ieee.org
A new era of connectedness marked by unheard-of speed, minimal latency, and increased
capacity to serve an abundance of devices and apps is brought about by the introduction of …

An Effecient Model for Plant Disease Identification

D Sajitha, NB Chancalviben - 2023 9th International …, 2023 - ieeexplore.ieee.org
Plants are the world's food source. The country's rural development is depending on the
productivity of crops. Specialists frequently inspect the plants to locate and identify illnesses …

A Holistic Approach to Food Waste Management: Leveraging Full-Stack Technologies for Efficient Resource Utilization

P Nagasharmila, GK Aadhini… - … and Robotics (STCR …, 2023 - ieeexplore.ieee.org
Food waste is a major global problem that has a negative impact on the environment and
the economy. Using full-stack technology, including data gathering, analytics, and decision …