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V. Kakulapati

0000-0002-1753-3298

Publications (9)

Analysis of Machine Reading Comprehension Problem Using Machine Learning Techniques

V. Kakulapati, Gagganapalli Jithendhar Reddy, Koukuntla Kranthi Kumar Reddy, Putukapu Amarendhar Reddy & Devender Reddy · Journal of Scientific Research and Reports · 2023

Machine reading Comprehension is a significant challenge in the field of natural language programming. In this problem, the objective is to read and grasp a given text passage before responding to questions that are dependent on the material. The most modern machine reading compr...

Open access Research Article 10.9734/jsrr/2023/v29i121814

Forecasting the Risk Factors of COVID-19 through AI Feature Fitting Learning Process (FfitL-CoV19)

V. Kakulapati & A. Jayanthiladevi · Asian Journal of Advanced Research and Reports · 2023

In the present day situation, decreasing COVID-19 risk elements also can moreover need to probably check the abilities to provide and test AI-primarily based total models for COVID-19 severity prediction. This work aimed to select the maximum affecting abilities of COVID-19 chanc...

Open access Research Article 10.9734/ajarr/2023/v17i3471

Location-Wise House Prediction Using Data Science Techniques

Subhani Shaik, V. Kakulapati & Ramakanth Reddy Malladi · Asian Journal of Advanced Research and Reports · 2023

This paper mainly deals with the prediction of location based on customer requirements. It also describes the location of the house, stores nearby by the house, duration of the house, transaction of data by the house and the latitude and longitude of the house, nearby station, an...

Open access Research Article 10.9734/ajarr/2023/v17i4475

Monkeypox Detection Using Transfer Learning, ResNet50, Alex Net, ResNet18 & Custom CNN Model

Chinta Venkata Naveen, Gangishetti Abhiram, V. Aneesh, V. Kakulapati & Kranthi Kumar · Asian Journal of Advanced Research and Reports · 2023

The latest monkeypox flare-up has arisen as a general well-being worry because of the fast spread to more than 40 countries that are not situated in Africa. Because of likenesses with chickenpox and measles, the early clinical ID of monkeypox can challenge. PC helped recognition...

Open access Research Article 10.9734/ajarr/2023/v17i5480

A Novel Approach to Detection of Fake News in Online Communities

Sai Sreekar Jakku, Sudheer Narla, Abhinav Reddy Emmadi & V. Kakulapati · Advances in Research · 2023

Fake news serving various political and commercial agendas has emerged on the web and spread rapidly in recent years, thanks in large part to the proliferation of online social networks. People who use informal online groups are especially vulnerable to the sneaky effects of dece...

Open access Research Article 10.9734/air/2023/v24i4950

Efficient Fine-grained Bird Classification Via Dynamic Ensembles and Active Learning

Soumith Gundala, Raju Kanthala, Tarun Raju Enduri, Ch. Vijaya Bhaskar & V. Kakulapati · Asian Journal of Research in Computer Science · 2025

Fine-grained bird species classification is a challenging task, mainly because the differences between species are often very subtle, and there is typically limited labeled data available for each species. This paper introduces a novel approach that combines multiple deep-learnin...

Open access Research Article 10.9734/ajrcos/2025/v18i6688

Visibility Improvement in Underwater and Traffic Images Using Color Balance and Fusion

P. Sivadurgarao, A. Ravi Teja, V. Raju, M. Nagaraju & V. Kakulapati · Asian Journal of Research in Computer Science · 2025

We present a robust method for enhancing underwater images that suffer from visual degradation due to light absorption and scattering in water. The approach works with a single image and does not rely on additional hardware or prior information about the underwater scene or condi...

Open access Research Article 10.9734/ajrcos/2025/v18i6689

Explainable AI for Livestock Disease Detection: An Integrated ML/DL Framework

B Ajay Vardhan, K.P Rushil Phanindra, K Sumith, T. Sirisha & V. Kakulapati · Asian Journal of Research in Computer Science · 2025

Livestock diseases lead to significant economic loss and threaten food security. With the increasing demand for dairy and meat products, maintaining animal health has become a critical global priority. Although farmers and agricultural workers often lack deep technical understand...

Open access Research Article 10.9734/ajrcos/2025/v18i6686

Fraud Detection of AD Clicks Using Machine Learning Techniques

Neeraja, Anupam, Sriram, Subhani Shaik & V. Kakulapati · Journal of Scientific Research and Reports · 2023

Although all businesses face the possibility of fraud, those that rely on internet advertising face an especially high risk of click fraud, which may lead to inaccurate click statistics and unnecessary expenditures. The cost per click for advertising channels might skyrocket if e...

Open access Research Article 10.9734/jsrr/2023/v29i71762