Early-stage prediction of glaucoma disease to reduce surgical requirements using deep-learning

N Thakur, M Juneja - Materials Today: Proceedings, 2021 - Elsevier
Glaucoma is an emerging retinal disease which may become the first common cause of
blindness if not detected at earlier stage. Retinal examination used by ophthalmologists for …

An analysis to understand the role of machine learning, robotics and artificial intelligence in digital marketing

RSK Boddu, AA Santoki, S Khurana, PV Koli… - Materials Today …, 2022 - Elsevier
Focusing on the assumption that both physical and cognitive activities may be substituted by
Artificial Intelligence, Machine Learning, and Robotics, this study explored the role of …

Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving …

N Deepa, JS Priya, T Devi - Materials Today: Proceedings, 2022 - Elsevier
Infections such as COVID-19 are affecting the entire world and measures such as social
distancing can be done so that the contact among people is reduced. IoT devices usage …

Deep learning enhancement on mammogram images for breast cancer detection

C Singla, PK Sarangi, AK Sahoo, PK Singh - Materials Today: Proceedings, 2022 - Elsevier
The mortality rate due to breast cancer can be controlled if the process of classification of
breast lesions is done correctly which could be either malignant or benign. With the help of …

Artificial intelligence and advanced materials in automotive industry: Potential applications and perspectives

SS Kamran, A Haleem, S Bahl, M Javaid… - Materials Today …, 2022 - Elsevier
The first part of this paper presents a literature review-based study of the most emerging
technology of the century, artificial intelligence (AI) and its various applications in the …

[HTML][HTML] Prediction of cancer disease using machine learning approach

FJ Shaikh, DS Rao - Materials Today: Proceedings, 2022 - Elsevier
Cancer has identified a diverse condition of several various subtypes. The timely screening
and course of treatment of a cancer form is now a requirement in early cancer research …

A review on convolutional neural network based deep learning methods in gene expression data for disease diagnosis

C Gunavathi, K Sivasubramanian, P Keerthika… - Materials Today …, 2021 - Elsevier
Bioinformatics is the discipline of employing informatics technologies on biological datasets
to extract the hidden knowledge from both biology and computer science fields. Gene …

Skin cancer detection and classification using machine learning

MK Monika, NA Vignesh, CU Kumari, M Kumar… - Materials Today …, 2020 - Elsevier
Skin cancer is considered as one of the most dangerous types of cancers and there is a
drastic increase in the rate of deaths due to lack of knowledge on the symptoms and their …

Role of machine learning in improving tourism and education sector

ML Bangare, PM Bangare, E Ramirez-Asis… - Materials Today …, 2022 - Elsevier
Tourism is viewed as a major economy booster. Although tourism has a beneficial influence
on the economy in terms of national income generation, job creation, tax revenue generation …

To understand the relationship between Machine learning and Artificial intelligence in large and diversified business organisations

SR Sandeep, S Ahamad, D Saxena… - Materials Today …, 2022 - Elsevier
In the modern era, Machine learning and Artificial intelligence remain the most remarkable
IT application, a technology that has seen unprecedented progress in recent decades. AI …