Shilpa Suresh
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View article: Design and simulation of a PLC-controlled omni wheel conveyor sorting system for high-speed material handling
Design and simulation of a PLC-controlled omni wheel conveyor sorting system for high-speed material handling Open
This study proposes a PLC-controlled omni wheel conveyor sorting system designed to address limitations in traditional sorting mechanisms by integrating barcode-based classification with high-speed and adaptable sorting capabilities. The s…
View article: Correlation of Left Ventricular Diastolic Dysfunction with Glycemic Parameters in Type 2 Diabetes Mellitus
Correlation of Left Ventricular Diastolic Dysfunction with Glycemic Parameters in Type 2 Diabetes Mellitus Open
Type 2 Diabetes Mellitus (T2DM) is a progressive metabolic condition that contributes significantly to systemic complications, particularly those affecting the cardiovascular system. Diastolic dysfunction, an early manifestation of diabeti…
View article: Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels
Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels Open
This study presents an integrated framework combining supervised classification and composition-driven regression modeling for automated phase identification and quantification in steel microstructures. SEM micrographs of three commerciall…
View article: Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images
Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images Open
Kidney cancer is a leading cause of cancer-related mortality, with renal cell carcinoma (RCC) being the most prevalent form, accounting for 80–85% of all renal tumors. Traditional diagnosis of kidney cancer requires manual examination and …
View article: Deep learning based optical image super-resolution via generative diffusion models for layerwise in-situ LPBF monitoring
Deep learning based optical image super-resolution via generative diffusion models for layerwise in-situ LPBF monitoring Open
View article: Revolutionizing areca nut harvesting: electric-powered robotic solution for sustainable agriculture
Revolutionizing areca nut harvesting: electric-powered robotic solution for sustainable agriculture Open
The agricultural industry has made significant advancements in transforming various sectors, including transportation, manufacturing, medical robotics, and agricultural technology. A notable advancement in agriculture is the deployment of …
View article: Analysis of existing techniques in human emotion and behavioral analysis using deep learning and machine learning models
Analysis of existing techniques in human emotion and behavioral analysis using deep learning and machine learning models Open
Artificial intelligence has become a pivotal force in the 21st-century information technology landscape, driving significant advancements in various fields. As AI continues to evolve, its capacity to understand and analyze human emotions a…
View article: Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images
Development of Robust CNN Architecture for Grading and Classification of Renal Cell Carcinoma Histology Images Open
Kidney cancer is a commonly diagnosed cancer disease in recent years, and Renal Cell Carcinoma (RCC) is the most common kidney cancer responsible for 80% to 85% of all renal tumors. The diagnosis of kidney cancer requires manual examinatio…
View article: ODD-Net: a hybrid deep learning architecture for image dehazing
ODD-Net: a hybrid deep learning architecture for image dehazing Open
View article: Optimization of ANN Models Using Metaheuristic Algorithms for Prediction of Tailpipe Emissions in Biodiesel Engine
Optimization of ANN Models Using Metaheuristic Algorithms for Prediction of Tailpipe Emissions in Biodiesel Engine Open
Machine learning techniques are gaining momentum in the present‐day context in most engineering applications due to their versatility and accuracy. They facilitate faster data processing coupled with a high degree of accuracy. They are ext…
View article: Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring Open
The stochastic formation of defects during Laser Powder Bed Fusion (L-PBF) negatively impacts its adoption for high-precision use cases. Optical monitoring techniques can be used to identify defects based on layer-wise imaging, but these m…
View article: RDC-UNet++: An end-to-end network for multispectral satellite image enhancement
RDC-UNet++: An end-to-end network for multispectral satellite image enhancement Open
Multi-spectral satellite imagery is an ideal data source for comprehensive, real-time Earth observation (EO) due to its extensive coverage of Earth and regular updates. It has a wide range of applications in environment monitoring, disaste…
View article: A robust framework for removing <i>G</i> <sup>0</sup> distributed noise from Synthetic Aperture Radar images
A robust framework for removing <i>G</i> <sup>0</sup> distributed noise from Synthetic Aperture Radar images Open
Synthetic Aperture Radar (SAR) imagery finds widespread applications across engineering disciplines, encompassing vegetation surveys, biomass estimation, and weather-related investigations. However, two significant challenges hinder SAR im…
View article: Deep Learning Based Optical Image Super-Resolution Via Generative Diffusion Models for Layerwise In-Situ Lpbf Monitoring
Deep Learning Based Optical Image Super-Resolution Via Generative Diffusion Models for Layerwise In-Situ Lpbf Monitoring Open
View article: Rdc-Unet++: An End-to-End Network for Multispectral Satellite Image Enhancement
Rdc-Unet++: An End-to-End Network for Multispectral Satellite Image Enhancement Open
View article: SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images
SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images Open
Semantic change detection in remote sensing imagery plays a pivotal role in urban planning, environmental monitoring, and disaster assessment applications. Existing deep learning-based methods, particularly those relying on triple-branch a…
View article: A continuous time model for Karnatic flute music synthesis
A continuous time model for Karnatic flute music synthesis Open
Gamakas, the essential embellishments, are integral parts of Karnatic music. Synthesising any form of Karnatic music necessitates proper modelling and synthesis of different gamakas associated with each note. We propose a spectral model to…
View article: A rare case of free floating thrombus in the aorta and left ventricle – a case report
A rare case of free floating thrombus in the aorta and left ventricle – a case report Open
Objective: Aortic thrombi, though rare, represents a significant medical entity requiring precise diagnosis and management. We describe an intriguing case of cardiac syncope resulting from an free-floating thrombus in the aorta. Case prese…
View article: Durability analysis on properties of water soaked PNNCs and CS-ANN model for wear property analysis of PNNCs
Durability analysis on properties of water soaked PNNCs and CS-ANN model for wear property analysis of PNNCs Open
The work aims to prepare and characterize polyester nanoclay nanocomposite (PNNCs) with various nanoclay weight percentages (0, 2, and 4). Nanoclay and polyester resin are blended using a mechanical stirrer followed by a sonicator. The ble…
View article: Design, Development and Characterization of Hyaluronic Acid Based pH Sensitive Liposomal In Situ Gel for the Treatment of Keratoconjunctivitis Sicca
Design, Development and Characterization of Hyaluronic Acid Based pH Sensitive Liposomal In Situ Gel for the Treatment of Keratoconjunctivitis Sicca Open
The recent advances in ocular drug delivery have been successful in surpassing conventional therapy, owing to its considerable limitations. This study aims to develop and optimize in-situ liposomal ocular system to design once-daily liquid…
View article: Effect of different types of water soaking and re-drying on mechanical properties of glass fiber-epoxy composites
Effect of different types of water soaking and re-drying on mechanical properties of glass fiber-epoxy composites Open
Fiber-reinforced polymer (FRP) composites undergo different environmental conditions in the designed life span. An investigation on aging of FRPs in water helps to enhance the material’s durability. This article aims to explore the effect …
View article: Survival in Patients with Post-myocardial Infarction Ventricular Septal Rupture: A Retrospective Observational Study
Survival in Patients with Post-myocardial Infarction Ventricular Septal Rupture: A Retrospective Observational Study Open
Introduction: Post-myocardial infarction ventricular septal rupture (post-MI-VSR) is a dreaded complication with high mortality. There is a varied survival pattern among patients who have undergone surgical repair. Aim: To assess the survi…
View article: AI Trainer: Autoencoder Based Approach for Squat Analysis and Correction
AI Trainer: Autoencoder Based Approach for Squat Analysis and Correction Open
Artificial intelligence and computer vision have widespread applications in workout analysis. It has been extensively used in sports and the athlete industry to identify errors and improve performance. Furthermore, these methods prevent in…
View article: Enhanced JAYA optimization based medical image fusion in adaptive non subsampled shearlet transform domain
Enhanced JAYA optimization based medical image fusion in adaptive non subsampled shearlet transform domain Open
Multi-modal image fusion has gained popularity in the medical field as it assists doctors to view the diverse medical image modalities in a single image. The treatment is effectively planned by looking into the fused image that helps docto…
View article: CURRENT DIAGNOSTIC AND THERAPEUTIC STRATEGIES FOR COVID-19- A REVIEW
CURRENT DIAGNOSTIC AND THERAPEUTIC STRATEGIES FOR COVID-19- A REVIEW Open
<p><em>The outbreak and spread of the novel coronavirus disease 2019 (COVID-19) with pandemic features, which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have greatly threatened global public heal…
View article: Solitary Thyroid Nodules - Validity of Ultrasonography, Fine Needle Aspiration Cytology and Sestamibi in Detecting Thyroid Malignancies - A Cross-Sectional Study in Kerala
Solitary Thyroid Nodules - Validity of Ultrasonography, Fine Needle Aspiration Cytology and Sestamibi in Detecting Thyroid Malignancies - A Cross-Sectional Study in Kerala Open
BACKGROUND The diagnosis of thyroid malignancies continues to remain a challenge, due to lack of specificity with various modalities, and intrinsic variability with clinical examination. Although histopathological diagnosis is confirmatory…
View article: Patient Prosthesis Mismatch in Double Valve Replacement - A Retrospective Study at a Tertiary Care Center in Bangalore
Patient Prosthesis Mismatch in Double Valve Replacement - A Retrospective Study at a Tertiary Care Center in Bangalore Open
BACKGROUND Valve replacement has become the mainstay of management for rheumatic heart diseases. However, an important and frequent complication of valve replacement is patient prosthesis mismatch (PPM). The present study was undertaken to…
View article: Dehazing of Satellite Images using Adaptive Black Widow Optimization-based framework
Dehazing of Satellite Images using Adaptive Black Widow Optimization-based framework Open
Haze is a common atmospheric disturbance that adversely affects the quality of optical data, thus often restricting their usability. Since these effects are inherent in the process of spaceborne Earth sensing, it is important to develop ef…
View article: POS-163 A RANDOMIZED CONTROL TRIAL OF RITUXIMAB VERSUS MODIFIED PONTICELLI REGIMEN IN THE TREATMENT OF PRIMARY MEMBRANOUS NEPHROPATHY – A PILOT STUDY
POS-163 A RANDOMIZED CONTROL TRIAL OF RITUXIMAB VERSUS MODIFIED PONTICELLI REGIMEN IN THE TREATMENT OF PRIMARY MEMBRANOUS NEPHROPATHY – A PILOT STUDY Open
Membranous nephropathy (MN) is one of the most common causes of nephrotic syndrome in adults. The modified Ponticelli regimen with cyclical steroids and cyclophosphomide is used as first-line therapy for primary MN (PMN) but is associated …
View article: Histopathology and Morphometric Analysis of the Internal Mammary Artery to Study the Incidence of Atherosclerosis and Its Associated Risk Factors
Histopathology and Morphometric Analysis of the Internal Mammary Artery to Study the Incidence of Atherosclerosis and Its Associated Risk Factors Open
Background: The left internal mammary artery (IMA) is widely used as a conduit for coronary revascularization. The incidence of atherosclerosis is known to be lower in the IMA than in the coronary artery. The aim of this study was to evalu…