Notice Board :

Call for Paper
Vol. 6 Issue 4

Submission Start Date:
April 01, 2025

Acceptence Notification Start:
April 10, 2025

Submission End:
April 25, 2025

Final MenuScript Due:
April 30, 2025

Publication Date:
April 30, 2025
                         Notice Board: Call for PaperVol. 6 Issue 4      Submission Start Date: April 01, 2025      Acceptence Notification Start: April 10, 2025      Submission End: April 25, 2025      Final MenuScript Due: April 30, 2025      Publication Date: April 30, 2025




Volume VI Issue IV

Author Name
Kanhaiya Lal Rajak, Kajol Dutta
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 4
Abstract
yah shodh patr bilaasapur jile mein sookshm, laghu aur madhyam udyamon ke vikaas evan sthirata par beema ke prabhaav ka adhyayan karata hai. msmai kshetr bhaarateey arthavyavastha kee dhuree hai, jo na keval rojagaar srjan karata hai, balki saamaajik aur aarthik drshtikon se bhee atyant mahatvapoorn hai.
PaperID
2025/IJEASM/4/2025/3126

Author Name
Ravi Mundra, Trilok Singh
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 4
Abstract
The rapid digital transformation in India’s gas and oil sector has introduced unprecedented opportunities for efficiency, automation, and data-driven decision-making. However, it has also expanded the attack surface for cyber threats, making robust cybersecurity strategies a necessity. This research explores the concept of adaptive cybersecurity, which integrates artificial intelligence (AI), machine learning (ML), and real-time threat intelligence to proactively defend against evolving cyber risks. The study examines the regulatory landscape, critical infrastructure vulnerabilities, and best practices in cybersecurity frameworks tailored to the sector. Through case studies and industry insights, this paper proposes a strategic roadmap for securing digital assets, mitigating cyber threats, and ensuring compliance with national and international cybersecurity standards. The findings emphasize the importance of a dynamic, risk-based security approach that enables resilience and operation
PaperID
2025/IJEASM/4/2025/3127

Author Name
Suganchand Patel, Divyarth Rai
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 4
Abstract
Early and accurate detection of rice leaf diseases is vital for sustainable crop management. Conventional CNN-based models, while effective at capturing local features, often fall short in modeling global context, which is crucial in complex field conditions. This paper proposes a fusion architecture that integrates CNNs and Transformer encoders to leverage both local and global feature representations. Through comprehensive experimentation on noisy and clean datasets, the hybrid model demonstrates superior classification performance, robustness, and interpretability compared to standalone architectures.
PaperID
2025/IJEASM/4/2025/3128

Author Name
Divya Gupta, Mitesh Shah
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 4
Abstract
This research explores the integration of artificial intelligence (AI) in mental health care, focusing on emotion recognition technologies and intelligent chatbot interventions. By leveraging natural language processing (NLP), machine learning (ML), and computer vision techniques, AI can identify emotional cues and provide timely, personalized mental health support. This paper presents a systematic review of current AI applications, discusses the architecture of emotion-aware chatbots, and highlights key challenges and ethical considerations. The study emphasizes the potential of AI to bridge gaps in mental health services, especially in underserved communities.
PaperID
2025/IJEASM/4/2025/3129