DIGITAL ONCOLOGY PATIENT RECORD - HETEROGENEOUS FILE BASED APPROACH


Automated recognition of the cricket batting backlift technique in video footage using deep learning architectures

Abstract There have been limited studies demonstrating the validation of Rough Rider batting techniques in cricket using machine learning.This study demonstrates how the batting backlift technique in cricket can be automatically recognised in video footage and compares the performance of popular deep learning architectures, namely, AlexNet, Incepti

read more

Molecular optimization using a conditional transformer for reaction-aware compound exploration with reinforcement learning

Abstract Designing molecules with desirable properties is a critical endeavor in drug discovery.Because of recent advances in deep learning, molecular generative models have been developed.However, the existing compound exploration models often disregard the important issue of ensuring the feasibility of organic synthesis.To address this issue, we

read more

Green synthesis of Iron nanoparticle from the extract of waste cauliflower leaves: An application for the removal of an anionic dye (Methyl Orange)

In this study, we have synthesized iron nanoparticles with the help of an environmentally benign technique using the extract of waste cauliflower leaves (Ca-INPs).This method of green synthesis of nanoparticles reduces the hazardous impact chemical synthesis method as Supplements well as it also allows the use of biological waste for the synthesis

read more

AMPHIBIAN DISTRIBUTION ON DEGRADATED HABITAT IN PASIR BINTANG AND MANDURIANG DISTRICT GUNUNG RAYA WILDLIFE SANCTUARY AREA OF SOUTH SUMATRA PROVINCE

Amphibian distribution on degradated habitat in Pasir Bintang and Manduriang districts of the Gunung Raya Wildlife Reserve, South Sumatra Province is caused by human activities, namely illegal logging and coffee plantations.Amphibians are one of the components that make up ecosystems that are very sensitive to environmental changes.This study aims

read more