One-drop chemosensing of dapoxetine hydrochloride using opto-analysis by multi-channel μPAD decorated silver nanoparticles: introducing a paper-based …

F Bahavarnia, F Kohansal, M Hasanzadeh - RSC advances, 2024 - pubs.rsc.org
Dapoxetine (DPX) belongs to the selective serotonin reuptake inhibitor (SSRI) class and
functions by blocking the serotonin transporter and increasing serotonin activity, thereby …

A Convolutional Neural Network with a U-Net for Brain Tumor Segmentation and Classification

T Shynu, SS Rajest, R Regin - … Asian Journal of …, 2023 - cajmns.centralasianstudies.org
An aberrant proliferation of live brain cells is known as a brain tumour. The development of
this tumour within the skull disrupts regular brain function. Early detection is key when it …

Augmenting Chronic Kidney Disease Diagnosis With Support Vector Machines for Improved Classifier Accuracy

CS Kumar, BS Kumar, G Gnanaguru… - … in Clinical Medicine, 2024 - igi-global.com
Mitigating chronic kidney disease poses a substantial challenge to the healthcare
community. This study assesses diverse classification algorithms, encompassing …

Psychopharmacological impact of ferulic acid on depressive-like behaviors induced by high fat diet in rats models of depression.

M Farhan, Z Saeed, S Rehman, A Bibi… - Pakistan Journal of …, 2023 - search.ebscohost.com
Previous studies have been demonstrated that high fat diet can leads to the development of
obesity. Obesity is strongly linked with several kinds of neurological and physiological …

Skin Symphony on Deep Learning Echoes in Melanoma Prediction

M Packiamary, A Muthukumaravel - Advancing Intelligent Networks …, 2024 - igi-global.com
This chapter approaches the crucial problem of accurate melanoma diagnosis by employing
cutting-edge deep learning techniques. Globally, melanoma stands as the primary cause of …

Predicting Child Mortality With Diverse Regression Algorithms Using a Machine Learning Approach

C Ashwini, SR Bose, MSD Padmavathy… - Advancing Intelligent …, 2024 - igi-global.com
This chapter uses machine learning methodologies to investigate the prediction of child
mortality rates for ages 1-4 across diverse countries. Drawing upon a comprehensive review …

[PDF][PDF] Analysis of Real-Time Video for the Detection of Fire Using OpenCV

M Gandhi, S Manikandan, B Vaidianathan - 2024 - researchgate.net
Because of the wide range of colours and textures present in visual landscapes, fire
detection is a challenging undertaking. To get over this issue, several fire image …

[PDF][PDF] AVETrends in Intelligent Health Letters

B Karthikeyan, RA Devi, M Munshi - 2024 - avepubs.com
Brain MRI segmentation affects study outcomes in numerous clinical applications. Several
processing pathways require correct anatomical area division. Magnetic resonance imaging …

[PDF][PDF] Enhancing Medical Image Processing and Analysis with Machine Learning Techniques

R Regin, SS Rajest - researchgate.net
Computer vision and image analysis rely heavily on machine learning. From structure-from-
motion and object recognition to scene understanding and image segmentation and …

[PDF][PDF] Characterizing AA6351/Tib2 Composite Drilling on Abrasive Water Jet Machining

S Manikandan, M Gandhi, B Vaidianathan - researchgate.net
Aluminum is a material that is malleable, soft, and resistant to corrosion. Additionally, it has a
high electrical conductivity. It finds widespread application in the production of conductor …