A Brief Survey on Data Aggregation and Data Compression Models using Blockchain Model in Wireless Sensor Network

BN Sudheer, K Sujatha - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Most of the time, nodes in Wireless Sensor Networks (WSNs) are set up in an unmonitored,
potentially dangerous setting. Battery life, storage space, processing power, and network …

An Enhanced Animal Species Classification and Prediction Engine using CNN

PK Priya, T Vaishnavi, N Selvakumar… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
Animal species classification is a fundamental task in wildlife conservation, animal behavior
studies, and biodiversity research. Convolutional Neural Networks (CNNs) have become a …

Customized Deep CNN for Foliar Disease Prediction Based on Features Extracted from Apple Tree Leaves Images

K Sujatha, K Gayatri, MS Yadav… - 2022 International …, 2022 - ieeexplore.ieee.org
India is an agricultural country, almost 80% of rural people are depending on agriculture
only. From the years a lot of technologies evolved that are used in designing various …

Custom-Built Deep Learning Architecture for Identifying Malaria Parasites in Blood Smear Images

S Kamepalli, C Anusha - 2023 IEEE World Conference on …, 2023 - ieeexplore.ieee.org
The Plasmodium parasite, a form of protozoan parasite, invades red blood cells in the
human body and is responsible for causing malaria. Malaria is a potentially lethal disease …

A Deep Hybrid Neural Network Model to Detect Diabetic Retinopathy from Eye Fundus Images

GR Mounika, K Sujatha - Recent Trends in Computational …, 2023 - taylorfrancis.com
Diabetes is becoming a common disease almost in all the ages of people and is impacting a
variety of human organs such as eyes, teeth, kidney, heart, skin, etc. This disease is causing …

Exploring Deep Learning Techniques for Automated Cataract Detection in Digital Camera Imagery

S Kamepalli, N Veeranjaneyulu… - … on Advances in …, 2024 - ieeexplore.ieee.org
Cataracts, a prevalent eye condition impacting vision, demand accurate and prompt
identification for effective risk reduction and blindness prevention. Traditional methods of …

Analyzing Image Classification on AI-Generated Art Vs Human Created Art Using Deep Learning Models

DS Chinta, S Kamineni… - 2024 Third …, 2024 - ieeexplore.ieee.org
As technology advances, the use of Generative AI to create content such as text, images,
videos etc. becomes more common. This artificial intelligence-generated content appears …

Content-based movie recommendation system using cosine similarity measure

N Abhinav, K Sujatha - AIP Conference Proceedings, 2023 - pubs.aip.org
Movies are the primary entertainment source for people who are struggling with many issues
in their everyday life. In choosing the best movie to go they are spending a lot of time …

Plant Leaf Disease Classification and Prediction Using a Customized Deep Transfer Learning Model

CB Achanta, KD Keerthi, S Kamepalli - Journal of Algebraic Statistics, 2022 - publishoa.com
There is a significant productivity, financial damage due to plant diseases, and diminished
overall quality of farm products. Detecting plant diseases has become more important in the …