Notice Board :





Volume XVII Issue III

Author Name
Anshika Gangrade, Atharv Tiwari, Isha Sakunde, Gaurav Dixit, Pritika Bahad, Diksha Bharwa
Year Of Publication
2025
Volume and Issue
Volume 17 Issue 3
Abstract
The presence of medication errors and counterfeit pharmaceuticals creates significant risk to patient safety. Standard barcode systems do not utilize real-time intelligence which restricts their effectiveness in inadequate prevention from medication errors and counterfeit pharmaceuticals. The goal of this work is to demonstrate the development of an Artificial Intelligence (AI) based smart barcoding system to improve medicine management that integrates machine learning, real-time verification, and automated tracking upon administration of medication. The smart barcoding system encode s` key drug information (i.e., composition, dosage, shelf life and validity) in dynamic scannable barcodes. AI algorithms to analyze patient data and medication history to mitigate adverse consequences of drug interactions will verify that drugs are prescribed correctly. Also, the introduction of computer vision and blockchain technologies would create incorruptible verification to mitigate the prevalence
PaperID
2025/EUSRM/3/2025/61655

Author Name
Ravi Dinanath Barapatre, Ashutosh Sharma
Year Of Publication
2025
Volume and Issue
Volume 17 Issue 3
Abstract
Arun Joshi’s novels delve into the existential conflicts between materialism and spiritualism, presenting protagonists who struggle to reconcile their worldly pursuits with their deeper, often unfulfilled, spiritual yearnings. This study explores whether Joshi’s protagonists achieve spiritual fulfillment, the philosophical significance of their ambiguous endings, and the lessons his works offer to contemporary society. Through a close analysis of The Foreigner, The Strange Case of Billy Biswas, The Last Labyrinth, and The Apprentice, this paper examines the psychological and philosophical dilemmas that shape the characters’ journeys. Despite their attempts at transcendence, these protagonists remain trapped in existential uncertainties, underscoring the challenges of attaining spiritual fulfillment in a materialistic world. The ambiguous conclusions of Joshi’s novels reinforce the complexities of human existence, aligning with existentialist philosophies that reject absolute resolution
PaperID
2025/EUSRM/3/2025/61656

Author Name
Suraj Kumar, Prabodh Khampariya
Year Of Publication
2025
Volume and Issue
Volume 17 Issue 3
Abstract
The integration of large-scale wind farms into electrical grids presents challenges related to voltage stability and power quality. Static Synchronous Compensators (STATCOM) have emerged as a promising solution to mitigate voltage fluctuations and improve dynamic stability. This paper provides a comprehensive analysis of STATCOM's role in enhancing wind farm stability, including its operational principles, impact on voltage control, and performance in grid integration scenarios. Simulation results and case studies demonstrate STATCOM’s effectiveness in maintaining grid stability under varying wind conditions. Additionally, a detailed literature review is conducted to evaluate the current state-of-the-art in STATCOM-based wind farm stabilization strategies.
PaperID
2025/EUSRM/2/2025/61657

Author Name
Suganchand Patel, Divyarth Rai
Year Of Publication
2025
Volume and Issue
Volume 17 Issue 3
Abstract
Accurate identification of rice diseases is crucial for crop protection and agricultural productivity. However, real-world field conditions introduce significant image noise, including inconsistent lighting, background clutter, and occlusion, making automated classification challenging. This paper proposes and compares several hybrid deep learning architectures integrating Convolutional Neural Networks (CNNs), Transformer encoders, and attention modules to address these complexities. The models were evaluated on an augmented rice disease dataset reflecting real-world variability. Results show that the CNN-Transformer-Attention hybrid model significantly outperforms conventional architecture, demonstrating robustness under noisy conditions.
PaperID
2025/EUSRM/3/2025/61658