Deep CNN-based feature extraction with optimised LSTM for enhanced diabetic retinopathy detection

BN Bansode, B KM, AS Dildar, S GS - Computer Methods in …, 2023 - Taylor & Francis
The early detection and treatment of DR have helped the ophthalmologist to treat the
affected patients and to reduce vision loss. Computer-aided screening for automatic DR …

SentiWordNet ontology and deep neural network based collaborative filtering technique for course recommendation in an e-learning platform

N Vedavathi, KM Anil Kumar - International Journal of Uncertainty …, 2022 - World Scientific
The expansion of the population that wants to learn online is growing due to several e-
learning platforms, which help innovate and suggest courses to learners. Several …

Design and development of modified ensemble learning with weighted rbm features for enhanced multi-disease prediction model

AS Prakaash, K Sivakumar, B Surendiran… - New Generation …, 2022 - Springer
In this computer world, huge data are generated in several fields. Statistics in the healthcare
engineering provides data about many diseases and corresponding patient's information …

Ensemble classification technique for heart disease prediction with meta-heuristic-enabled training system

PR Kumar, S Ravichandran… - Bio-Algorithms and Med …, 2021 - degruyter.com
Objectives This research work exclusively aims to develop a novel heart disease prediction
framework including three major phases, namely proposed feature extraction …

Grey wolf assisted dragonfly-based weighted rule generation for predicting heart disease and breast cancer

S Moturi, SNT Rao, S Vemuru - Computerized Medical Imaging and …, 2021 - Elsevier
Disease prediction plays a significant role in the life of people, as predicting the threat of
diseases is necessary for citizens to live life in a healthy manner. The current development …

Smart COVIDNet: designing an IoT-based COVID-19 disease prediction framework using attentive and adaptive-derived ensemble deep learning

D Karthikeyan, P Baskaran, SK Somasundaram… - … and Information Systems, 2024 - Springer
Since the end of 2019, the world has faced severe issues over Corona Virus Disease of
2019 (COVID-19). So there is a need for some essential precautionary measures until the …

Visual and buying sequence features-based product image recommendation using optimization based deep residual network

D Indira, BR Markapudi, K Chaduvula… - Gene Expression …, 2022 - Elsevier
A recommendation system is an imaginative resolution for managing the restrictions in e-
commerce services with item details and user details. Also, it is used to determine the user …

Adaptive partitioning‐based copy‐move image forgery detection using optimal enabled deep neuro‐fuzzy network

G Mariappan, AR Satish, PVB Reddy… - Computational …, 2022 - Wiley Online Library
The emergence of photo editing applications, like Adobe Photoshop, has manipulated the
operation of digital images into a simple task. However, these manipulations of images …

An efficient and low complex model for optimal RBM features with weighted score-based ensemble multi-disease prediction

TP Anish, PM Joe Prathap - Computer Methods in Biomechanics …, 2023 - Taylor & Francis
Multi-disease prediction is regarded as the capacity to simultaneously identify various
diseases that are expected to be affected an individual at a certain period. These multiple …

Adaptive fusion of K-means region growing with optimized deep features for enhanced LSTM-based multi-disease classification of plant leaves

K Sahu, S Minz - Geocarto International, 2023 - Taylor & Francis
The manual process of plant leaves disease detection takes more time to perform. To
achieve successful classification results, a flawless feature extraction process is required for …