Notice Board :

Call for Paper
Vol. 5 Issue 10

Submission Start Date:
Oct 01, 2024

Acceptence Notification Start:
Oct 10, 2024

Submission End:
Oct 25, 2024

Final MenuScript Due:
Oct 30, 2024

Publication Date:
Oct 30, 2024
                         Notice Board: Call for PaperVol. 5 Issue 10      Submission Start Date: Oct 01, 2024      Acceptence Notification Start: Oct 10, 2024      Submission End: Oct 25, 2024      Final MenuScript Due: Oct 30, 2024      Publication Date: Oct 30, 2024




Volume V Issue II

Author Name
Gagan Deep Kaur, Pooja Meena, Chetan Agrawal
Year Of Publication
2024
Volume and Issue
Volume 5 Issue 2
Abstract
Diabetes retinopathy (DR) is one of the most difficult problems that diabetic patients face, in which the retina becomes destroyed and causes blindness. It damages the blood vessels in the retina, causing full vision distortion due to fluid leakage. Diabetic Retinopathy (DR) is an eye disease caused by long-term diabetes. DR is the main cause of blindness among working-age adults worldwide, affecting an estimated 93 million people. Early detection and treatment of DR can help patients avoid losing their sight. Diagnosis of DR is a laborious process that entails a considerable quantity of clinical research, which takes a significant amount of time, money, and resources. The number of DR patients far outnumbers the number of practitioners. As a result, manual clinical diagnosis or screening takes a long time. To avoid such difficulties, follow-up screening is performed on a regular basis, and automatic DR detection and severity grading are required. Several strategies for detecting retin
PaperID
2024/IJEASM/1/2024/1972

Author Name
Gajendra Singh Thakur, Abha Mahalwar
Year Of Publication
2024
Volume and Issue
Volume 5 Issue 2
Abstract
Cardiovascular diseases (CVD) represent a formidable global health challenge, claiming 17.6 million lives in 2016 alone, marking a 14.5% increase from 2006 to 2016. Alarmingly, mortality and morbidity rates continue to escalate, particularly in developing regions, where approximately 80% of CVD-related deaths occur, often at younger ages compared to high-income countries. Rapid economic transitions in these regions have spurred environmental shifts and unhealthy lifestyle patterns, exacerbating cardiovascular risk factors and the incidence of CVD. With population aging further compounding these challenges, the burden of CVD on individuals and societies is profound. Addressing this crisis necessitates innovative strategies for diagnosis and treatment, with artificial intelligence (AI) emerging as a potential solution. However, despite over sixty years since the inception of AI, its precise role in medicine remains nebulous. Questions persist regarding its impact on healthcare employment
PaperID
2024/IJEASM/5/2024/1972a

Author Name
Irfan Aziz, Vikrant S Choudhary
Year Of Publication
2024
Volume and Issue
Volume 5 Issue 2
Abstract
This research endeavors to advance the efficiency and effectiveness of heating and cooling systems in workshop environments through the application of Computational Fluid Dynamics (CFD) simulations for comprehensive thermal analysis. The optimization of indoor climate control in workshops is a critical aspect not only for energy conservation but also for ensuring the well-being and productivity of occupants who spend substantial durations in these confined spaces. The study employs advanced CFD simulations to scrutinize and optimize the intricate dynamics of heat transfer and airflow within workshop settings. By gaining insights into the thermal behavior of the environment, the research aims to propose refined strategies for the enhancement of heating and cooling systems. This involves assessing the performance of existing systems and proposing improvements that align with energy efficiency standards and occupant comfort. The methodology involves creating detailed models of workshop sp
PaperID
2024/IJEASM/5/2024/1973

Author Name
Hitesh Kumar Sonkar, Abha Mahalwar
Year Of Publication
2024
Volume and Issue
Volume 5 Issue 2
Abstract
The approach outlined in the article aligns with the United Nations' perspective on corruption as a systemic and adaptive phenomenon requiring comprehensive solutions. Traditional methods often struggle to address the complexities inherent in modern social, political, and technological systems where corruption occurs. In response, complex systems science, particularly complex networks science, offers a promising framework for understanding and combating corruption. By applying concepts and tools from complexity science, the article examines a significant corruption scandal in Mexico involving a network of shell companies used for embezzlement. The analysis focuses on the structure and dynamics of this corporate network, leveraging available data on personnel and company creation dates. By measuring global parameters like density, diameter, average path length, and average degree, the study aims to identify corporate characteristics indicative of corruption. This empirical approach prov
PaperID
2024/IJEASM/5/2024/1973a