Optimal nonparametric bayesian model-based multimodal BoVW creation using multilayer pLSA

G Nagarajan, RI Minu, A Jayanthila Devi - Circuits, Systems, and Signal …, 2020 - Springer
The main objective of this research paper is to design a system which would generate
multimodal, nonparametric Bayesian model, and multilayered probability latent semantic …

A hybrid CNN architecture for skin lesion classification using deep learning

SPG Jasil, V Ulagamuthalvi - Soft Computing, 2023 - Springer
The majority of cases of skin cancer can be identified using a combination of a doctor's
ocular inspection, a dermoscopy, and other diagnostic methods. There are a number of …

Segmentation and detection of skin cancer using fuzzy cognitive map and deep Seg Net

KA Kumar, C Vanmathi - Soft Computing, 2024 - Springer
A growth of the uncontrollable cells in a body causes cancer, which is one among deadly
diseases. It can be developed at any parts of human body that may comprise of numerous …

Breast cancer prediction using ensemble voting classifiers in next-generation sequences

B Kurian, VL Jyothi - Soft Computing, 2023 - Springer
Breast cancer has become the greatest frequent cancer among worldwide. Machine
learning techniques contribute much to cancer prognosis. The prime focus of the work is to …

Threshold multiparty multi‐randomness secure partially homomorphic encryption for data security in cloud

MD Boomija, SV Kasmir Raja - Expert Systems, 2023 - Wiley Online Library
Threshold cryptography is used to secure a cryptographic secret by dividing it into N shares
and storing each claim on a diverse server. Any subgroup of t servers can use the secret …

[PDF][PDF] High performance angiogram sequence compression using 2D bi-orthogonal multiwavelet and hybrid SPIHT-DEFLATE algorithm

T Somassoundaram… - Indian Journal …, 2015 - sciresol.s3.us-east-2.amazonaws …
Abstract Digital Imaging and Communication (DICOM) files play a major role in diagnosis.
Storage of DICOM files and transmission is a big challenge faced by researchers. Reducing …

Real Estate Price Prediction Using Machine Learning Algorithm

D Vathana, R Patel, M Bargoti - Advances in Intelligent Computing and …, 2022 - Springer
Real estate business is one of the leading business types; it is referring to buying and
selling. Real estate business is making crucial for an effective house prediction model. This …

Type 2 diabetes mellitus classification using predictive supervised learning model

MS Roobini, M Lakshmi, R Rajalakshmi, L Sujihelen… - Soft Computing, 2023 - Springer
There is a tremendous increase in severe cases of type 2 diabetes in the day today's life.
Proper assessment of the disease is very important to save society. Many prediction models …

Identification And Classification Of Mangrove Trees Based On Morphological Specialization And Monitoring Their Spatio Temporal Distribution Using Deep Learning …

A Christy, P Visalakshi, MDA Praveena… - … -NATURAL VOLATILES & …, 2021 - nveo.org
Mangroves are receiving increasing attention from government and non-government
organizations around the world due to their ecological importance and benefits to the …

Deep Learning-Based Real-Time Multiple-Person Action Recognition System

A Sivasangari, P Ajitha, RM Gomathi - NVEO-NATURAL VOLATILES & …, 2021 - nveo.org
Recognition of human activity has attracted growing interest from researchers, mainly
because of its potential in areas such as surveillance videos, robotics, interaction with …