H. S. S. Sinha
Physics and Astronomy · Indiana University
Publications
75
Citations
479
Est. group size
—
Recurring co-author estimate
Active years
53
Publishing since 1974
This researcher's recent publications focus on applying machine learning and deep learning methods to a wide range of practical problems, including medical image analysis (brain tumor and Alzheimer's detection), cybersecurity (malware and network attack detection), and predictive analytics (stock forecasting, customer churn). Note that the listed OpenAlex topics (ionosphere, space plasma, and geomagnetism) do not match the recent publication record, which is dominated by applied machine learning work.
Publication activity is recent and growing, with no recorded output before 2024 followed by six papers in 2024 and eight in 2025.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- NeuroGenius: A Machine Learning based Brain Tumour Detection Platform
International Journal on Advanced Computer Engineering and Communication Technology · 2026
- Improving Software Reliability Through Predictive Fault Analysis Using Machine Learning Models
2025
- Automated Image Identification and Classification of Tiger Beetles Based on Deep Learning Model
2025
- Assessing the Performance of Machine Learning Approaches for Cyber Attack Detection to Improve Cybersecurity
2025
- Early Prediction and Classification of Breast Cancer Survival Based on Machine Learning Models
2025
- An ML-Powered Predictive Analytics Framework for Stock Market Forecasting using Time-Series Analysis Data
2025
- A Novel Efficient Hybrid Machine Learning Architecture for Classification and Detection of Network in Cybersecurity Frameworks
2025
- An Evaluation of Machine Learning Approaches for Android Malware Detection to Enhance Cyber Security
2025
- Leveraging Artificial Intelligence for Enhanced Efficiency in the Semiconductor Manufacturing Process Optimization
2025
- Analysis of anomaly and novelty detection in time series data using machine learning techniques
Multidisciplinary Science Journal · 2024
- An Efficient Machine Learning Based Models for Anomaly Detection in Network Traffic
2024
- A Robust Machine Learning System for Classification and Prediction of Customer Churn in Telecom Sector
2024
- An Evaluation of Medical Image Analysis using Image Segmentation and Deep Learning Techniques for Brain-Tumour
2024
- An Early Diagnosis of Alzheimer's Disease (AD) on MRI Images Based on Deep Learning Technique
2024
- A Sentiment Analysis of Product Review Data Through Large Language Models (LLMs)
2024
- Multidisciplinary Science Journal×1
- International Journal on Advanced Computer Engineering and Communication Technology×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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