Electronics: Recent submissions

Now showing items 21-30 of 196

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research

Gawde-Prabhudesai, S.; Patil, S.; SatishKumar; Kamat, P.; Kotecha, K.; Abraham, A. (Engineering Applications of Artificial Intelligence. 123(Part A); 2023; ArticleID_106139.)

Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of machinery. The majority of these machines comprise rotating components and are called rotating machines. The engineers' top ...
Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers

Lanjewar, M.; Panchbhai, K.G.; Charanarur P. (Expert Systems with Applications. 224; 2023; ArticleID_119961.)

Lung cancer is a highly life-threatening disease worldwide, and detection is crucial. In this study, the Kaggle chest CT-scan images dataset was used to identify lung cancer in four categories: adenocarcinoma, large cell ...
Influence of B-site Gd sup(+3) substitution on various properties of Co-ferrite nanoparticles

Salgaonkar, M.; Gad, R.S. (Applied Physics A: Materials Science and Processing. 127(11); 2021; ArticleID_867.)

The effect of rare earth (Gd sup(+3)) substitution on various properties of nanocrystalline cobalt ferrite material with composition CoFe sup(2-x) Gd sup(x) O (x = 0, 0.02, 0.04, 0.06, 0,08, 0.1) prepared using combustion ...
Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone

Lanjewar, M.; Shaikh, A.Y.; Parab, J.S. (Multimedia Tools and Applications. 82(19); 2023; 29883-29912.)

COVID-19 has engulfed over 200 nations through human-to-human transmission, either directly or indirectly. Reverse Transcription-polymerase Chain Reaction (RT-PCR) has been endorsed as a standard COVID-19 diagnostic procedure ...
CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud

Lanjewar, M.; Parab, J.S.; Shaikh, A.Y.; Sequeira, M. (Cluster Computing. 26(6); 2022; 3657-3672.)

Liver disease is a significant global burden on health, with about a few hundred million people suffering from chronic liver disease (CLD), with approximately 2 million deaths each year. Liver diseases are tough to identify ...
Development of framework by combining CNN with KNN to detect Alzheimer's disease using MRI images

Lanjewar, M.; Parab, J.S.; Shaikh, A.Y. (Multimedia Tools and Applications. 82(8); 2023; 12699-12717.)

Alzheimer's disease (AD) is an irremediable, irrecoverable brain illness without proper treatment. Therefore, AD recognition is essential for precluding and dominating its advancement. The conventional method considers the ...
Detection of tartrazine colored rice flour adulteration in turmeric from multi-spectral images on smartphone using convolutional neural network deployed on PaaS cloud

Lanjewar, M.; Parab, J.S.; Morajkar, P.P. (Multimedia Tools and Applications. 81(12); 2022; 16537-16562.)

Food adulteration occurs globally, in many facets, and affects almost all food commodities. Adulteration is not just a crucial economic problem, but it may also lead to serious health problems for consumers. Turmeric ...
Development of Novel Soft-Core Embedded Architecture for Total Haemoglobin Estimation Using Multivariate System

Pinto, Caje Francis
Convolutional Neural Networks based classifications of soil images

Lanjewar, M.; Gurav, O.L. (Multimedia Tools and Applications. 81(7); 2022; 10313-10336.)

The utilization of Artificial Intelligence (AI) and Machine Learning(ML) in the image processing domain is useful to detect and recognize the types of soil. The main aim of the present work is to process the soil images ...
Data Fusion in Depth Images: Application to Facial Biometrics

Gaonkar, Aniketh A.

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