Classification of skin disease using deep learning neural networks with MobileNet V2 and LSTM

PN Srinivasu, JG SivaSai, MF Ijaz, AK Bhoi, W Kim… - Sensors, 2021 - mdpi.com
Deep learning models are efficient in learning the features that assist in understanding
complex patterns precisely. This study proposed a computerized process of classifying skin …

Using recurrent neural networks for predicting type-2 diabetes from genomic and tabular data

PN Srinivasu, J Shafi, TB Krishna, CN Sujatha… - Diagnostics, 2022 - mdpi.com
The development of genomic technology for smart diagnosis and therapies for various
diseases has lately been the most demanding area for computer-aided diagnostic and …

Probabilistic deep Q network for real-time path planning in censorious robotic procedures using force sensors

PN Srinivasu, AK Bhoi, RH Jhaveri, GT Reddy… - Journal of Real-Time …, 2021 - Springer
In recent years, enormous advancement has taken place in biomedical engineering, which
has paved the way for robot-assisted surgery in various complex surgical procedures. In …

Plant leaf disease detection using CNN algorithm

P Deepalakshmi, K Lavanya… - International Journal of …, 2021 - igi-global.com
Agriculture is the primary source of economic development in India. The fertility of soil,
weather conditions, and crop economic values make farmers select appropriate crops for …

Self-Learning Network-based segmentation for real-time brain MR images through HARIS

PN Srinivasu, VE Balas - PeerJ Computer Science, 2021 - peerj.com
In recent years in medical imaging technology, the advancement for medical diagnosis, the
initial assessment of the ailment, and the abnormality have become challenging for …

Two-dimensional Otsu multi-threshold image segmentation based on hybrid whale optimization algorithm

G Ning - Multimedia Tools and Applications, 2023 - Springer
Threshold segmentation is a commonly used method to deal with image segmentation
problems. Aiming at the problems of the traditional maximum inter-class variance method …

A software framework for predicting the maize yield using modified multi-layer perceptron

S Ahmed - Sustainability, 2023 - mdpi.com
Predicting crop yields is one of agriculture's most challenging issues. It is crucial in making
national, provincial, and regional choices and estimates the government to meet the food …

[PDF][PDF] Multi-Features Disease Analysis Based Smart Diagnosis for COVID-19.

SR Swamy, SP Praveen, S Ahmed… - Comput. Syst. Sci …, 2023 - researchgate.net
Coronavirus 2019 (COVID-19) is the current global buzzword, putting the world at risk. The
pandemic's exponential expansion of infected COVID-19 patients has challenged the …

SVMBPI: support vector machine-based propaganda identification

AMUD Khanday, QR Khan, ST Rabani - Cognitive Informatics and Soft …, 2021 - Springer
Online social networks are being used to express and freely communicate the information.
Some of the popular social networking sites (SNS) used for this purpose are Facebook …

Probabilistic buckshot-driven cluster head identification and accumulative data encryption in WSN

P Naga Srinivasu, R Panigrahi, A Singh… - Journal of Circuits …, 2022 - World Scientific
Several nonterminal nodes in the ad-hoc sensor network architecture are involved in
effectively communicating data. There are not enough nodes other than the terminals to …