N. V. Subba Reddy
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View article: A Performance Benchmarking of ML and DNN Models in Sorghum Yield Estimation for South India
A Performance Benchmarking of ML and DNN Models in Sorghum Yield Estimation for South India Open
View article: AI-driven data integration: Transforming enterprise data pipelines through machine learning
AI-driven data integration: Transforming enterprise data pipelines through machine learning Open
This article examines the transformative impact of artificial intelligence on enterprise data integration processes, with a particular focus on how machine learning algorithms are revolutionizing traditional approaches to data mapping, tra…
View article: Beyond Demographics: How Artificial Intelligence redefines customer segmentation in digital marketing
Beyond Demographics: How Artificial Intelligence redefines customer segmentation in digital marketing Open
This article examines the transformative impact of artificial intelligence on customer segmentation strategies in contemporary marketing practices. By leveraging advanced machine learning algorithms, businesses can now transcend traditiona…
View article: Next-Gen Hybrid Machine Learning for Bankruptcy Prediction: A Polish Market Analysis
Next-Gen Hybrid Machine Learning for Bankruptcy Prediction: A Polish Market Analysis Open
Bankruptcy forecasting is crucial for financial stability and risk management. This study advances the accuracy of bankruptcy prediction using hybrid machine learning techniques on an imbalanced Polish dataset. The dataset presents challen…
View article: ToY Language Compiler using Lex and YACC
ToY Language Compiler using Lex and YACC Open
View article: Ciliopathy interacts with neonatal anesthesia to cause non-apoptotic caspase-mediated motor deficits
Ciliopathy interacts with neonatal anesthesia to cause non-apoptotic caspase-mediated motor deficits Open
Increasing evidence suggests that anesthesia may induce developmental neurotoxicity, yet the influence of genetic predispositions associated with congenital anomalies on this toxicity remains largely unknown. Children with congenital heart…
View article: Modeling Daily Reference Evapotranspiration from Climate Variables: Assessment of Bagging and Boosting Regression Approaches
Modeling Daily Reference Evapotranspiration from Climate Variables: Assessment of Bagging and Boosting Regression Approaches Open
The increasing frequency of droughts and floods due to climate change has severely affected water resources across the globe in recent years. An optimal design for the scheduling and management of irrigation is thus urgently needed to adap…
View article: A secure two-party PIR for privacy applications
A secure two-party PIR for privacy applications Open
The major drawback of existing information retrieval schemes in preserving user privacy is that they either exhibit computationally bounded privacy with intractability assumptions or perfect privacy with high bandwidth utilisation. Today, …
View article: An prediction of Healthy Diet required to Ease the recovery from Covid-19 using the approach of Machine Learning.
An prediction of Healthy Diet required to Ease the recovery from Covid-19 using the approach of Machine Learning. Open
Global terror that has shaken the world named, COVID-19 virus has taken away huge number of lives. According to the research there are lot of recovery cases also. Most important thing to survive from this disease is having good immunity. E…
View article: Fake News Detection from Online media using Machine learning Classifiers
Fake News Detection from Online media using Machine learning Classifiers Open
With the advancement in technology, the consumption of news has shifted from Print media to social media. The convenience and accessibility are major factors that have contributed to this shift in consumption of the news. However, this cha…
View article: Classification of Cardiac Arrhythmia using improved Feature Selection methods and Ensemble Classifiers
Classification of Cardiac Arrhythmia using improved Feature Selection methods and Ensemble Classifiers Open
Arrhythmia is one of the life-threatening heart diseases which is diagnosed and analyzed using electrocardiogram (ECG) recordings and other symptoms namely rapid heartbeat or chest-pounding, shortness of breath, near fainting spells, insuf…
View article: Prediction on Cardiovascular disease using Decision tree and Naïve Bayes classifiers
Prediction on Cardiovascular disease using Decision tree and Naïve Bayes classifiers Open
Machine Learning is an application of Artificial Intelligence where the method begins with observations on data. In the medical field, it is very important to make a correct decision within less time while treating a patient. Here ML techn…
View article: Forecasting variance of NiftyIT index with RNN and DNN
Forecasting variance of NiftyIT index with RNN and DNN Open
A time series is an order of observations engaged serially in time. The prime objective of time series analysis is to build mathematical models that provide reasonable descriptions from training data. The goal of time series analysis is to…
View article: Comparison of various machine learning approaches uses in heart ailments prediction
Comparison of various machine learning approaches uses in heart ailments prediction Open
Heart disease has been the leading cause of a huge number of deaths in recent years. As a result, an accurate and feasible system is required to diagnose this disease early to provide better treatment. Advances in machine learning have the…
View article: Study of distance metrics on k - nearest neighbor algorithm for star categorization
Study of distance metrics on k - nearest neighbor algorithm for star categorization Open
Classification of stars is essential to investigate the characteristics and behavior of stars. Performing classifications manually is error-prone and time-consuming. Machine learning provides a computerized solution to handle huge volumes …
View article: Enhancement of Security of Diffie-Hellman Key Exchange Protocol using RSA Cryptography.
Enhancement of Security of Diffie-Hellman Key Exchange Protocol using RSA Cryptography. Open
Cryptography is related and referred to as the secured transmission of messages amongst the sender and the intended receiver by ensuring confidentiality, integrity, and authentication. Diffie – Hellman (DH) key exchange protocol is a well-…
View article: Crop prediction using machine learning
Crop prediction using machine learning Open
For most developing countries, agriculture is their primary source of revenue. Modern agriculture is a constantly growing approach for agricultural advances and farming techniques. It becomes challenging for the farmers to satisfy our plan…
View article: A secure two-party PIR for privacy applications
A secure two-party PIR for privacy applications Open
View article: Prediction of Lung Cancer using Ensemble Classifiers
Prediction of Lung Cancer using Ensemble Classifiers Open
Carcinoma detection from CT scan images is extremely necessary for numerous diagnostic and healing applications. Because of the excessive amount of information in CT scan images and blurred boundaries, tumor segmentation and class are extr…
View article: Predicting Mental Health Illness using Machine Learning Algorithms
Predicting Mental Health Illness using Machine Learning Algorithms Open
Early detection of mental health issues allows specialists to treat them more effectively and it improves patient’s quality of life. Mental health is about one’s psychological, emotional, and social well-being. It affects the way how one t…
View article: Cardiac Disease Prediction using Supervised Machine Learning Techniques.
Cardiac Disease Prediction using Supervised Machine Learning Techniques. Open
Diagnosis of cardiac disease requires being more accurate, precise, and reliable. The number of death cases due to cardiac attacks is increasing exponentially day by day. Thus, practical approaches for earlier diagnosis of cardiac or heart…
View article: The MOSDEF Survey: Probing Resolved Stellar Populations at z~2 using a New Bayesian-defined Morphology Metric
The MOSDEF Survey: Probing Resolved Stellar Populations at z~2 using a New Bayesian-defined Morphology Metric Open
Studying the resolved structure of high-redshift galaxies can give insight into the evolution of global galactic properties. For example, understanding the distribution of dust and how it affects the scattering and attenuation of starlight…
View article: Twitter Sentiment Analysis using Distributed Word and Sentence Representation
Twitter Sentiment Analysis using Distributed Word and Sentence Representation Open
An important part of the information gathering and data analysis is to find out what people think about, either a product or an entity. Twitter is an opinion rich social networking site. The posts or tweets from this data can be used for m…
View article: Twitter Sentiment Analysis using Distributed Word and Sentence\n Representation
Twitter Sentiment Analysis using Distributed Word and Sentence\n Representation Open
An important part of the information gathering and data analysis is to find\nout what people think about, either a product or an entity. Twitter is an\nopinion rich social networking site. The posts or tweets from this data can be\nused fo…
View article: Effects of padding on LSTMs and CNNs
Effects of padding on LSTMs and CNNs Open
Long Short-Term Memory (LSTM) Networks and Convolutional Neural Networks (CNN) have become very common and are used in many fields as they were effective in solving many problems where the general neural networks were inefficient. They wer…
View article: Smart Toll Plaza Sysytem Using Iot
Smart Toll Plaza Sysytem Using Iot Open
View article: Hybrid Architecture for Handwritten Numeral Recognition
Hybrid Architecture for Handwritten Numeral Recognition Open
This paper presents a unique recognition system based on two modelsa Random Forest and a Multi-Layer Perceptron.This hybrid architecture is used to classify handwritten digits, taken from the MNIST dataset.The system has two outcomespredic…
View article: Human Data Acquisition through Biometrics using LabVIEW
Human Data Acquisition through Biometrics using LabVIEW Open
Human Data Acquisition is an innovative work done based on fingerprints of a particular person. Using the fingerprints we can get each and every detail of any individual. Through this, the data acquired can be used in many applications suc…
View article: Knowledge Discovery from Web Usage Data: An Efficient Implementation of Web Log Preprocessing Techniques
Knowledge Discovery from Web Usage Data: An Efficient Implementation of Web Log Preprocessing Techniques Open
Web Usage Mining (WUM) refers to extraction of knowledge from the web log data by application of data mining techniques.WUM generally consists of Web Log Preprocessing, Web Log Knowledge Discovery and Web Log Pattern Analysis.Web Log Prepr…
View article: Neuro-Fuzzy Based Hybrid Model for Web Usage Mining
Neuro-Fuzzy Based Hybrid Model for Web Usage Mining Open
Web Usage mining consists of three main steps: Pre-processing, Knowledge Discovery and Pattern Analysis. The information gained from the analysis can then be used by the website administrators for efficient administration and personalizati…