K. Satheesh Kumar
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View article: From Speed to Sustainability: AI-Driven Performance Optimization and Its Energy Impact in Enterprise Applications
From Speed to Sustainability: AI-Driven Performance Optimization and Its Energy Impact in Enterprise Applications Open
The rising complexity and scale of enterprise applications in the Age of AI demand a shift from purely speed-focused optimization toward a balanced approach that also prioritizes energy efficiency. This paper investigates how AI-driven per…
View article: Application of artificial intelligence for asset integrity management of offshore oil and gas pipelines
Application of artificial intelligence for asset integrity management of offshore oil and gas pipelines Open
The assets and infrastructure of offshore oil and gas platforms, such as pipelines, operate in harsh environments and often require frequent maintenance for sustained operation. The conventional asset management protocols, such as pigging,…
View article: Explosive Adductor Exercise Effects on Range of Motion and Muscular Strength Variables Among Runners
Explosive Adductor Exercise Effects on Range of Motion and Muscular Strength Variables Among Runners Open
The purpose of the study was to find out the explosive adductor exercise effects on a range of motion and speed endurance variables among runners. To achieve the purpose of the study, thirty college-level runners were selected randomly as …
View article: Exploring and Understanding the Association between Yield and its Components in Sesame using Correlation Analysis
Exploring and Understanding the Association between Yield and its Components in Sesame using Correlation Analysis Open
Background: Sesame has the oldest history of over 5000 years of its cultivation as an indigenous oilseed crop of India. Sesame oil has excellent nutritional, medicinal and cooking quality for which it is known as queen of oil seeds. It har…
View article: Cardiac Involvement in a Lymphoma: A Rare Extranodal Site
Cardiac Involvement in a Lymphoma: A Rare Extranodal Site Open
Cardiac involvement in lymphoma is rare and usually presents as a late manifestation of the disease. Although clinically asymptomatic and mostly found on autopsy, some patients may present with ventricular outflow obstruction, valve dysfun…
View article: Efficiency of Integrated Weed Management Strategies on Weed Dynamics in Transplanted Finger Millet (Eleusine coracana)
Efficiency of Integrated Weed Management Strategies on Weed Dynamics in Transplanted Finger Millet (Eleusine coracana) Open
To evaluate the effects of different weed management techniques on the dynamics of weeds in transplanted finger millet, a field experiment was conducted from January to April 2023 at the Experimental Farm, Department of Agronomy, Faculty o…
View article: Clinical Profiles and Survival Outcomes of Patients With Relapsed Ovarian Cancer: A Single-Center Study
Clinical Profiles and Survival Outcomes of Patients With Relapsed Ovarian Cancer: A Single-Center Study Open
Background Ovarian cancer is the third most prevalent form of cancer among women in India. The majority of patients are diagnosed at an advanced stage. Many women with late-stage ovarian cancer experience a recurrence and need subsequent t…
View article: Analysis of microplastics in the estuary lying along the coastal belt of the Arabian Sea
Analysis of microplastics in the estuary lying along the coastal belt of the Arabian Sea Open
The significant impact of microplastics in the marine environment has sparked global concern. These tiny plastic particles travel from land to the estuary through rivers, where they become intricately distributed within the estuarine dynam…
View article: Machine learning assisted Raman spectroscopy: A viable approach for the detection of microplastics
Machine learning assisted Raman spectroscopy: A viable approach for the detection of microplastics Open
The accumulation of microplastics (MPs) resulting from disposal of plastic waste into water sources, poses a significant threat to aquatic organisms. These are readily ingested by organisms, leading to the accumulation of harmful substance…
View article: IMAGE PROCESSING AND CNN BASED MANUFACTURING DEFECT DETECTION AND CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC CELLS
IMAGE PROCESSING AND CNN BASED MANUFACTURING DEFECT DETECTION AND CLASSIFICATION OF FAULTS IN PHOTOVOLTAIC CELLS Open
Renewable energy resources such as solar energy, biomass, tidal, geothermal, and hydroelectric energy are becoming increasingly important due to their potential to mitigate the negative impacts of climate change and reduce our dependence o…
View article: Principal component analysis of rice genotypes grown under normal and flash flood environments
Principal component analysis of rice genotypes grown under normal and flash flood environments Open
In the present study, Principal Component Analysis (PCA) was carried out to find the genetic divergence among 30 genotypes of rice grown under normal (E1) and flash flood environments (E2).They were evaluated for nine quantitative traits v…
View article: Chaotic time series forecast based on weighted state transition network
Chaotic time series forecast based on weighted state transition network Open
There have been many attempts to improve how well chaotic time-series can be used to make predictions. Predicting a chaotic time series beyond the short time limit is extremely difficult as chaotic trajectories diverge exponentially. Vario…
View article: Principal component analysis, a multivariate technique to assess yield-contributory traits in the sesame Germplasm
Principal component analysis, a multivariate technique to assess yield-contributory traits in the sesame Germplasm Open
This study uncovers the genetic diversity of 40 sesame (Sesamum indicum L.) genotypes and identifies the key yield-contributory traits using Principal Component Analysis (PCA), a multivariate technique. Sesame is an important oilseed crop …
View article: Optimization Enabled Deep Learning‐Based DDoS Attack Detection in Cloud Computing
Optimization Enabled Deep Learning‐Based DDoS Attack Detection in Cloud Computing Open
Cloud computing is a vast revolution in information technology (IT) that inhibits scalable and virtualized sources to end users with low infrastructure cost and maintenance. They also have much flexibility and these resources are supervise…
View article: Markov Chain: A Novel Tool for Electronic Ripple Analysis
Markov Chain: A Novel Tool for Electronic Ripple Analysis Open
Objective: To delineate a novel surrogate approach to analyse the ripple component by constructing a complex network using the Markov model. Methods: Adjacency matrices (A) are constructed from the digital storage oscilloscope output signa…
View article: Human Disease Prediction Using Machine Learning Classification Algorithms
Human Disease Prediction Using Machine Learning Classification Algorithms Open
The importance of healthcare system is growing and the pandemic has proved that the healthcare management is an important part of an individual's life. Most medical cases requires proper diagnoses in a prior consultation, and it is very im…
View article: Predictive Analysis for the Detection of Human Diseases CVD, CKD, DM Based on Supervised and Ensemble Machine Learning Classification Algorithms
Predictive Analysis for the Detection of Human Diseases CVD, CKD, DM Based on Supervised and Ensemble Machine Learning Classification Algorithms Open
Because of the high risk globally in the health care sector, the Chronic kidney disease (CKD), Cardio Vascular Disease (CVD), Diabetes Mellitus (DM) are the major burden because of its increasing pervasiveness. Cardio Vascular Disease (CVD…
View article: Effects of Repeated Deep Frying on Refractive Index and Peroxide Value of Selected Vegetable Oils
Effects of Repeated Deep Frying on Refractive Index and Peroxide Value of Selected Vegetable Oils Open
Objectives: In preparation for deep frying, the peroxide values and refractive indices of palm, sesame, and sunflower oils were measured. The peroxide value and refractive indices of the vegetable oils used to fry white Indian potato chips…
View article: A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction
A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction Open
Wind speed modelling and prediction has been gaining importance because of its significant roles in various stages of wind energy management. In this paper, we propose a hybrid model, based on wavelet transform to improve the accuracy of t…
View article: Day-ahead prediction using time series partitioning with Auto-Regressive model
Day-ahead prediction using time series partitioning with Auto-Regressive model Open
Wind speed forecasting has received a lot of attention in the recent past from researchers due to its enormous benefits in the generation of wind power and distribution. The biggest challenge still remains to be accurate prediction of wind…
View article: Wind speed forecast using random forest learning method
Wind speed forecast using random forest learning method Open
Wind speed forecasting models and their application to wind farm operations are attaining remarkable attention in the literature because of its benefits as a clean energy source. In this paper, we suggested the time series machine learning…
View article: Optimizing Oracle to SAP HANA Migration for Performance and Scalability: A Case Study on SAP SuccessFactors Learning
Optimizing Oracle to SAP HANA Migration for Performance and Scalability: A Case Study on SAP SuccessFactors Learning Open
This research paper explores the migration of the SAP SuccessFactors Learning application from Oracle DB to SAP HANA DB, focusing on the challenges, performance optimizations, and outcomes of this transition. SAP SuccessFactors Learning, o…
View article: Quantitative Proteomic Profiling of Marine Diatom Skeletonema dohrnii in Response to Temperature and Silicate Induced Environmental Stress
Quantitative Proteomic Profiling of Marine Diatom Skeletonema dohrnii in Response to Temperature and Silicate Induced Environmental Stress Open
Global warming is expected to reduce the nutrient concentration in the upper ocean and affect the physiology of marine diatoms, but the underlying molecular mechanisms controlling these physiological changes are currently unknown. To under…