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Nelli Sreevidya

0009-0001-6686-435X

Publications (4)

Fire Prediction Analysis Based on Ensemble Machine Learning Algorithms

Nelli Sreevidya, K. Akshaya, Md. Hamza & T. Pranay · Asian Journal of Research in Computer Science · 2024

A fire accident is the most tragic incident in human life. Particularly environmental hazards such as forest fires lead loss of wildlife, economy, wealth, human lives and pollution. our research purpose of predict the occurrence of fire incidents using ensemble machine learning m...

Open access Research Article 10.9734/ajrcos/2024/v17i6457

A Comparative Analysis of Supervised and Unsupervised Machine Learning Techniques for Sleep Disorder Identification using Lifestyle and Health Data

Y. Rohita, P. N. Siva Jyothi, Nelli Sreevidya, Veladi Rajeshwari, Majji Hasanth Kumar & Suda Naga Chaitan Reddy · Asian Journal of Research in Computer Science · 2026

Sleep disorders such as insomnia and obstructive sleep apnea have a significant impact on physical health, mental well-being, and overall quality of life. Early and accurate identification of these disorders is essential for effective intervention; however, traditional diagnostic...

Open access Research Article 10.9734/ajrcos/2026/v19i3837

Natural Language Processing Based on Movie Rating System Using Microblogging

Adluri Sreemukhi, Mekapothula Chandu Goud, Gade Tushitha Reddy, Nelli Sreevidya & Subhani Shaik · Asian Journal of Research in Computer Science · 2025

Movie recommendation systems help users quickly find movies that match their preferences, similar to platforms like Netflix, which personalize suggestions based on individual viewing habits. As digital content grows exponentially with technological advancements, users face challe...

Open access Research Article 10.9734/ajrcos/2025/v18i6676

Machine Learning Approach for House Price Prediction

M. Jagan Chowhaan, D. Nitish, G. Akash, Nelli Sreevidya & Subhani Shaik · Asian Journal of Research in Computer Science · 2023

In our ecosystem, real estate is clearly a distinct industry. Predicting house prices, significant housing characteristics, and many other things is made a lot easier by the capacity to extract data from raw data and extract essential information. Daily fluctuations in housing co...

Open access Research Article 10.9734/ajrcos/2023/v16i2339