S. Dash
YOU?
Author Swipe
View article: Hierarchical Quantum Optimization for Large-Scale Vehicle Routing: A Multi-Angle QAOA Approach with Clustered Decomposition
Hierarchical Quantum Optimization for Large-Scale Vehicle Routing: A Multi-Angle QAOA Approach with Clustered Decomposition Open
We present a quantum optimization methodology for solving large-scale Vehicle Routing Problem (VRP) using a combination of standard and Multi-Angle Quantum Approximate Optimization Algorithms (MA-QAOA). The approach decomposes 13-locations…
View article: A Computational Intelligence based Early Diagnosis of Asthma Disease: A Saudi Arabian Case Study
A Computational Intelligence based Early Diagnosis of Asthma Disease: A Saudi Arabian Case Study Open
According to recent research, an increase in chronic diseases including Asthma has been identified. The number of Asthma patients in the Kingdom of Saudi Arabia is a cause for concern due to the weather conditions and lifestyle especially …
View article: Solar radiation assisted Photocatalytic Degradation of Congo red using Ce doped LaCoO\(_{3}\)
Solar radiation assisted Photocatalytic Degradation of Congo red using Ce doped LaCoO\(_{3}\) Open
A viable sol-gel synthesis technique was used to synthesize LaCoO3 and Ce doped LaCoO3 for degradation of congo red dye taking a renewable source of light i.e solar radiation. The crystalline structure, morphology, and optical properties …
View article: Immune-modulation in arsenic exposed buffaloes by Terminalia arjuna (l.) Journal of Livestock Science
Immune-modulation in arsenic exposed buffaloes by Terminalia arjuna (l.) Journal of Livestock Science Open
View article: Determinant Parameters of Neonatal Birth Weight Trends: A Cross-sectional Analysis in a Tertiary Care Hospital
Determinant Parameters of Neonatal Birth Weight Trends: A Cross-sectional Analysis in a Tertiary Care Hospital Open
Introduction: Birth weight is crucial in neonatal care, enabling healthcare providers to monitor infant growth patterns. Factors such as maternal nutrition, parity, age, socio-economic status and maternal health can impact foetal growth. T…
View article: Exploring the electronic nature of spinel oxides: A review of their electron interactions and future prospects
Exploring the electronic nature of spinel oxides: A review of their electron interactions and future prospects Open
View article: Explainable AI-Driven Diagnosis Model for Early Glaucoma Detection Using Grey-Wolf Optimized Extreme Learning Machine Approach
Explainable AI-Driven Diagnosis Model for Early Glaucoma Detection Using Grey-Wolf Optimized Extreme Learning Machine Approach Open
Glaucoma is a prominent threat to vision and ranks as the third leading cause of blindness in India. Early detection is crucial to limit its progression. Retinal image analysis, particularly computer-aided diagnosis (CAD), has gained signi…
View article: Role of <i>Carica papaya</i> in Thrombocytopenia
Role of <i>Carica papaya</i> in Thrombocytopenia Open
Background: Carica Papaya, commonly referred to as Papaya, has historically been utilised in various medicinal practices for its bioactive constituents. Thrombocytopenia is a medical condition characterised by a lack of platelets, leading …
View article: Enhancing skin cancer detection with explainable artificial intelligence: A customized extended deep U-shaped encoder decoder network approach
Enhancing skin cancer detection with explainable artificial intelligence: A customized extended deep U-shaped encoder decoder network approach Open
One of the most common types of cancer globally is skin cancer. Quick identification of this cancer plays a significant role in patient treatment and successful recovery. It is a condition characterized by the uncontrolled growth of skin c…
View article: PHYTOCHEMICAL CHARACTERIZATION OF UROCHLOA DISTACHYA (L.) THROUGH GAS CHROMATOGRAPHY-MASS SPECTROMETRY AND LIQUID CHROMATOGRAPHY-MASS SPECTROMETRY ANALYSIS WITH IN SILICO AND IN VIVO ANTI-INFLAMMATORY ASSESSMENT IN CARRAGEENAN-INDUCED PAW EDEMA
PHYTOCHEMICAL CHARACTERIZATION OF UROCHLOA DISTACHYA (L.) THROUGH GAS CHROMATOGRAPHY-MASS SPECTROMETRY AND LIQUID CHROMATOGRAPHY-MASS SPECTROMETRY ANALYSIS WITH IN SILICO AND IN VIVO ANTI-INFLAMMATORY ASSESSMENT IN CARRAGEENAN-INDUCED PAW EDEMA Open
Objectives: The objective of this study was to evaluate the phytochemical composition and anti-inflammatory activity of chloroform and ethyl acetate extracts of Urochloa distachya, alongside in silico molecular docking analysis. Methods: T…
View article: Development of a digital open channel flow measuring device for surface irrigation
Development of a digital open channel flow measuring device for surface irrigation Open
The irrigation sector, being the largest user of water in India, requires 40% more water by 2050 to meet the food demand of the ever-increasing population. Hence, it becomes imperative to implement judicious water management technology to …
View article: Efficacy of BiFeO\(_{3}\ and Bi\(_{4}\Ti\(_{3}\O\(_{12}\ towards photocatalytic degradation of MG and MB dyes: A comparative study under solar irradiation
Efficacy of BiFeO\(_{3}\ and Bi\(_{4}\Ti\(_{3}\O\(_{12}\ towards photocatalytic degradation of MG and MB dyes: A comparative study under solar irradiation Open
Bismuth-based perovskite material has been used as promising photocatalysts for photo catalytic degradation of toxic dyes with tailored crystallites and fine-tuned band gap for superior activity. BiFeO3 and Bi4Ti3O12 were synthesized by a …
View article: On Sd-Prime Cordial Labeling of Graphs
On Sd-Prime Cordial Labeling of Graphs Open
View article: Some Explorations on Odd-Even Graceful Labeling of Graphs
Some Explorations on Odd-Even Graceful Labeling of Graphs Open
View article: A Systematic Analysis on Ghost Nets and their Impact on Marine Organisms
A Systematic Analysis on Ghost Nets and their Impact on Marine Organisms Open
View article: A robust Parkinson’s disease detection model based on time-varying synaptic efficacy function in spiking neural network
A robust Parkinson’s disease detection model based on time-varying synaptic efficacy function in spiking neural network Open
View article: A comparative ensemble approach of deep learning models for binary and multiclass classification of histopathological images for breast cancer detection
A comparative ensemble approach of deep learning models for binary and multiclass classification of histopathological images for breast cancer detection Open
Breast cancer (BC) is the most frequently occurring cancer in women after lung cancer. There are different stages of breast cancer. Among them, Invasive ductal BC causes the maximum number of deaths in women. Different radio imaging techni…
View article: An improved method for diagnosis of Parkinson’s disease using deep learning models enhanced with metaheuristic algorithm
An improved method for diagnosis of Parkinson’s disease using deep learning models enhanced with metaheuristic algorithm Open
View article: A Robust Parkinson’s Disease Detection Model Based on Time-varying Synaptic Efficacy Function in Spiking Neural Network
A Robust Parkinson’s Disease Detection Model Based on Time-varying Synaptic Efficacy Function in Spiking Neural Network Open
Parkinson’s disease (PD) is a neurodegenerative disease affecting millions of people around the world. Conventional PD detection algorithms are generally based on first and second-generation artificial neural network (ANN) models which con…
View article: Ensemble Machine Learning Approach to Bankruptcy Prediction
Ensemble Machine Learning Approach to Bankruptcy Prediction Open
Bankruptcy is among the biggest threats every company has in terms of its reputation. It can be explained as a situation in which a company is unable to pay back the outstanding debts to banks, lenders, and/or suppliers. An accurate and ti…
View article: Investigation on Effects of Training Schemes and Data Characteristics on Deep Learning-based Breast Cancer Classification
Investigation on Effects of Training Schemes and Data Characteristics on Deep Learning-based Breast Cancer Classification Open
Breast cancer (BC) is the most frequently diagnosed cancer among women, surpassing all other types of cancer in terms of prevalence. It affects both males and females, but women are at a greater risk of developing it. The lifetime probabil…
View article: A Novel Approach to Enhance Software Defect Prediction using An Improved Grey Wolf Optimization based Extreme Learning Machine Technique
A Novel Approach to Enhance Software Defect Prediction using An Improved Grey Wolf Optimization based Extreme Learning Machine Technique Open
In software development and testing, detecting and mitigating faults are paramount to prevent potential issues from escalating and disrupting the development and testing processes. The proposed method can also improve the prediction of var…
View article: Predictive healthcare modeling for early pandemic assessment leveraging deep auto regressor neural prophet
Predictive healthcare modeling for early pandemic assessment leveraging deep auto regressor neural prophet Open
View article: Editorial: Internet of Medical Things and computational intelligence in healthcare 4.0
Editorial: Internet of Medical Things and computational intelligence in healthcare 4.0 Open
EDITORIAL article Front. Big Data, 21 February 2024Sec. Medicine and Public Health Volume 7 - 2024 | https://doi.org/10.3389/fdata.2024.1368581
View article: Artificial Intelligence for the Electron Ion Collider (AI4EIC)
Artificial Intelligence for the Electron Ion Collider (AI4EIC) Open
View article: An Improved Vgg-16 Deep Learning Framework Induced Feature Extraction Framework for Moving Object Detection
An Improved Vgg-16 Deep Learning Framework Induced Feature Extraction Framework for Moving Object Detection Open
View article: Optimizing Underwater Acoustic Sensor Networks: A Novel Metric for Link Quality Estimation Considering Energy Consumption and Propagation Speed
Optimizing Underwater Acoustic Sensor Networks: A Novel Metric for Link Quality Estimation Considering Energy Consumption and Propagation Speed Open
View article: AI-Powered Data Analytics and Multi-Omics Integration for Next-Generation Precision Oncology and Anticancer Drug Development
AI-Powered Data Analytics and Multi-Omics Integration for Next-Generation Precision Oncology and Anticancer Drug Development Open
The recent rapid evolution of artificial intelligence (AI), big data analytics, and multi-omics technologies is changing modern precision oncology. These tools have opened up new opportunities to understand the heterogeneity of the tumor, …
View article: Optimized Hybrid Deep Learning for Real-Time Pandemic Data Forecasting: Long and Short-Term Perspectives
Optimized Hybrid Deep Learning for Real-Time Pandemic Data Forecasting: Long and Short-Term Perspectives Open
Background: With new variants of COVID-19 causing challenges, we need to focus on integrating multiple deep-learning frameworks to develop intelligent healthcare systems for early detection and diagnosis. Objective: This article suggests t…
View article: Discrete Ripplet-II Transform Feature Extraction and Metaheuristic-Optimized Feature Selection for Enhanced Glaucoma Detection in Fundus Images Using LS-SVM
Discrete Ripplet-II Transform Feature Extraction and Metaheuristic-Optimized Feature Selection for Enhanced Glaucoma Detection in Fundus Images Using LS-SVM Open
Recently, significant progress has been made in developing computer-aided diagnosis (CAD) systems for identifying glaucoma abnormalities using fundus images. Despite their drawbacks, methods for extracting features such as wavelets and the…