Recent Reader Ratings and Comments

Explore the latest ratings and comments shared by readers of research articles published in International Journal of Science and Research (IJSR). Select an article title to read its abstract, or share a useful paper with your academic and professional network.

Pratik AgarwalRating: 10/10 😊

Quality Prediction of Red Wine based on Different Feature Sets Using Machine Learning Techniques

Paper ID: SR20718002904Edition: Volume 9 Issue 7, July 2020Country: India

Received: 2025-05-01

The paper effectively explores red wine quality prediction using various feature sets and machine learning models. The methodology is clear, experiments are thorough, and results are insightful.

Akshanan KidnapillaiRating: 9/10 😊

Evaluating Risk Identification Methods in Construction Projects: A Case Study from Western Province of Sri Lanka

Paper ID: SR25424005437Edition: Volume 14 Issue 4, April 2025Country: Sri Lanka

Received: 2025-05-01

This abstract presents a timely and insightful analysis of risk identification in construction projects within Sri Lankas Western Province, effectively highlighting critical gaps and areas for improv

KanchanRating: 10/10 😊

Stress among Teenagers is Underlying Psychometric Factor for Causing Onset of Anxiety at an Early Age

Paper ID: SR23601193427Edition: Volume 12 Issue 6, June 2023Country: India

Received: 2025-05-01

A wellresearched study offering key insights into teenage anxiety, its causes, coping methods, and practical implications for mental health support in schools, families, and communities.

Vrushika KanaparthyRating: 10/10 😊

Achieving Grant Management Best Practices Through ERP Systems and AI: A New Era of Efficiency and Impact

Paper ID: SR25406230112Edition: Volume 14 Issue 4, April 2025Country: India

Received: 2025-05-01

Provides a clear and useful explanation of research and grant ERP systems, highlighting important details on funding, process flow, and effective management.

Sri Sai Sujay ChandraRating: 5/10 😐

Achieving Grant Management Best Practices Through ERP Systems and AI: A New Era of Efficiency and Impact

Paper ID: SR25406230112Edition: Volume 14 Issue 4, April 2025Country: India

Received: 2025-05-01

Offers a thorough and insightful overview of research and grant ERP systems, emphasizing key aspects such as funding mechanisms, workflow processes, and strategies for efficient management.

MariyamshifanaRating: 5/10 😐

Achieving Grant Management Best Practices Through ERP Systems and AI: A New Era of Efficiency and Impact

Paper ID: SR25406230112Edition: Volume 14 Issue 4, April 2025Country: India

Received: 2025-05-01

Great overview of research and grants ERP, clearly explaining key aspects like funding, workflows, and system efficiency in a concise and useful way.

Shaik GousciRating: 10/10 😊

Achieving Grant Management Best Practices Through ERP Systems and AI: A New Era of Efficiency and Impact

Paper ID: SR25406230112Edition: Volume 14 Issue 4, April 2025Country: India

Received: 2025-05-01

Very insightful and informative about grants and research ERP systems, offering clear details and valuable knowledge on processes, management, and funding.

Vishal KothariRating: 10/10 😊

DynamoDB-Real Time Ingestion & Real Time Analytics

Paper ID: SR25427061609Edition: Volume 14 Issue 4, April 2025Country: United States

Received: 2025-05-01

Excellent work. The implementation of this workflow has a huge potential in reducing effort, time, and cost to speed up the data processing.

Gaurang MunjeRating: 9/10 😊

DynamoDB-Real Time Ingestion & Real Time Analytics

Paper ID: SR25427061609Edition: Volume 14 Issue 4, April 2025Country: United States

Received: 2025-05-01

Your paper is really impressive wellresearched and clearly written. The insights you shared are thoughtful and add real value. Its clear you put a lot of effort into this, and it truly shows.

Neelakshi SoniRating: 5/10 😐

DynamoDB-Real Time Ingestion & Real Time Analytics

Paper ID: SR25427061609Edition: Volume 14 Issue 4, April 2025Country: United States

Received: 2025-05-01

This paper presents valuable insights into data ingestion practices , using robust methodologies and clear analysis. The findings contribute significantly to the long standing data pipelines.