A novel deep learning method for the identification and categorization of footpath defects based on thermography

L Vanitha, R Kavitha, M Panneerselvam… - … on Smart Electronics …, 2022 - ieeexplore.ieee.org
Automated detection represents one of the most important criteria for assessing the
condition of the roadway, and it represents a challenging problem for the creation of …

Plant disease identification using contextual mask auto‐encoder optimized with dynamic differential annealed optimization algorithm

M Prasannakumar, K Latha - Microscopy Research and …, 2024 - Wiley Online Library
Most of the food consumed worldwide is produced by plants. Plant disease is a major cause
of reduced production, but can be managed with regular monitoring. Manually observing …

An Improved Approach To Classify Plant Disease Using CNN And Random Forest

S Dixit, N Kaur - 2023 International Conference on Artificial …, 2023 - ieeexplore.ieee.org
With the increasing scope of deep learning applications in various sectors, the detection of
plant disease using the leaf sample using the same has also been one of the major areas to …

Blockchain meets healthcare: Architecture for secure data sharing in unobtrusive medical applications

M Jayasudha, C Vijayalakshmi - AIP Conference Proceedings, 2022 - pubs.aip.org
Modernages have perceived an exemplar swing in warehousing Electronic Health Records
(EHRs) on cloud settings with the catholic solicitation of mobile healthcare systems, where …

The Prediction of Micro Plasma Impacts of Farm Fresh Vegetables Using Machine Learning

G Maragatham, K Sundaramoorthy… - 2023 International …, 2023 - ieeexplore.ieee.org
In general, the innovative foods produced on fruit and vegetable based farms are always
high quality and healthy. Indicators of fruit and vegetable consumption include plasma …

Detection of Bangladeshi-Produced Plant Disease Using a Transfer Learning Based on Deep Neural Model

T Hasan, MA Siddiki… - Journal of Computer …, 2023 - al-kindipublisher.com
Plant diseases pose a significant threat to agricultural productivity and food security in
Bangladesh. In this research, we address the challenge of timely and accurate plant disease …

A Review of Approaches to Classify Plant Disease using Deep Learning and Machine Learning

S Dixit, N Kaur - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
Agriculture supplies food for all people even in cases of fast population growth. Plant
diseases are hostile elements that significantly reduce crop quality and yield. Observing …

Personalised Vaccination Prediction for Hepatitis B using Machine Learning

C Vijayalakshmi, SP Mohideen - Annals of the Romanian …, 2021 - search.proquest.com
All sorts of Hepatitis B infections do lead to highly complicated liver issues which might
cause death.[...] prevention is better than the treatment in the case of Hepatitis B infection.[...] …

A multidimensional time series data on wireless network to improve the detection performance of unsupervised learning algorithms

C Paul, S Ranjith, RS Vijayashanthi… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
In recent years, only with developments of cellular networking technologies as well as the
implementation of 4G LTE networks, the skills and options provided to end-users had …

Recognition of rice blast disease in greenhouse environment using optimized deep neural network

S Ramesh, TM Amirthalakshmi, R Geetha… - AIP Conference …, 2022 - pubs.aip.org
In agriculture field, recent research works mainly focus on the recognition and classification
of plant leaf diseases from images. Image processing techniques can be used to recognize …