A multi-stage deep model for crop variety and disease prediction

R Nennuri, RH Kumar, G Prathyusha… - … Conference on Soft …, 2022 - Springer
One of the most important and crucial professions in the world is agriculture. It is estimated
that various kinds of pests like insects, weeds, animals, and diseases cause crop yield …

Precision Mango Farming: Using Compact Convolutional Transformer for Disease Detection

M Shereesha, C Hemavathy, H Teja, GM Reddy… - … on Innovations in Bio …, 2022 - Springer
With every forward step that humanity takes, it is our responsibility to contribute to the
development of agricultural ecosystem. Precision agriculture effectually leverages science …

An investigative study of shallow, deep and dense learning models for breast cancer detection based on microcalcifications

DS Murthy, VS Prasad, K Aman… - … conference on data …, 2022 - ieeexplore.ieee.org
Early cancer diagnosis, detection and treatment continues to be a mammoth task in because
of many challenges such as socio and cultural myths, economic conditions, access to …

Sentiment Analysis from TWITTER Using NLTK

NP Challa, KR Madhavi, B Naseeba, BB Bhanu… - … Conference on Hybrid …, 2023 - Springer
In the present generation, Social networking sites like Twitter, Face book play a important
role for communication. Twitter is one of the Blogging platform with numerous data quantity …

Adaptable Fog Computing Framework for Healthcare 4.0

K Kovuri, K Chandrashekhar, AV Sriharsha… - … Conference on Soft …, 2022 - Springer
Healthcare 4.0 is an extension of Industry 4.0. a great leverage has been made to the
stakeholders of medical and healthcare domain. Technical innovations and improvisations …

Federated Learning and Adaptive Privacy Preserving in Healthcare

KR Madhavi, VK Suri, V Mahalakshmi… - … on Innovations in Bio …, 2022 - Springer
Real-world health data for machine learning tasks addresses many issues related to
storage, access and privacy concerns on the centralized databases. Distributed data silos …

Adaptable Fog Computing Framework

K Kovuri¹, K Chandrashekhar… - Proceedings of the …, 2023 - books.google.com
Healthcare 4.0 is an extension of Industry 4.0. a great leverage has been made to the
stakeholders of medical and healthcare domain. Technical innovations and improvisations …

Brain Tumor Detection and Segmentation Using Deep Learning Models with Dual Attention Mechanism

M Sireesha, G Sunitha, J Prasanna Babu… - … on Computer & …, 2023 - Springer
Brain tumor segmentation is a critical task in medical image analysis with applications in
diagnosis, treatment planning, and patient monitoring. Deep learning models have shown …

Artificial Intelligence for Detecting Prevalence of Indolent Mastocytosis

V Srilakshmi, KS Chakradhar, K Suneetha… - … Conference on Soft …, 2022 - Springer
For the detection and elucidation of indolent mastocytosis, deep learning methods like
convolution neural networks, encoder-decoders, recurrent neural networks and LSTM based …

Siamese Neural Networks for One-Shot Face Recognition

PV Vardhan, J Avanija, NMS Priya, N Vineeth… - … on Intelligent Healthcare …, 2022 - Springer
A face recognition system is a piece of technology that can assess one's face in an input
photo or frames of a video against a collection of faces. By identifying and quantifying face …