Accurate rainfall forecasting is vital for agriculture, water resource planning, and disaster risk reduction, especially in regions like Uttar Pradesh, India, where communities are highly sensitive to climatic fluctuations. Conventional time series models such as autoregressive i...
Open access
Research Article10.9734/jsrr/2025/v31i53007
Vaishnavi Sakaray, Venu Lenin, Rajat Kumar Nath, Monika Wason, G. S. Mahra, Mrinmoy Ray, Praveen K. V., Settipalli Sravani & Cheela Soumya·Archives of Current Research International·2025
The primary objective of Deendayal Antyodaya Yojana–National Rural Livelihood Mission’s (DAY–NRLM) is to mobilize rural poor households into Self-Help Groups (SHGs). This study was conducted to find the role of SHGs in financial inclusion of members. The present study was purposi...
Open access
Research Article10.9734/acri/2025/v25i101560
Aspect-Based Sentiment Analysis (ABSA) has emerged as a powerful technique for analyzing student feedback in educational settings, providing a deeper understanding of sentiments linked to specific aspects such as course content, instructor performance, assessment quality and tech...
Open access
Research Article10.9734/jsrr/2024/v30i122701
Mohit Kumar, Alka Arora, Sudeep Marwaha, Viswanathan Chinnusamy, Sudhir Kumar, Soumen Pal, Mrinmoy Ray & Rajkumar Dhakar·Journal of Scientific Research and Reports·2025
Accurate and automated detection of wheat spikes is essential for high-throughput phenotyping and yield prediction, yet traditional manual counting is labor-intensive and error-prone. This study compared two deep learning models, U-Net and FasterViT, for wheat spike segmentation...
Open access
Research Article10.9734/jsrr/2025/v31i93480