Notice Board :

Call for Paper
Vol. 7 Issue 6

Submission Start Date:
June 01, 2026

Acceptence Notification Start:
June 10, 2026

Submission End:
June 25, 2026

Final MenuScript Due:
June 30, 2026

Publication Date:
June 30, 2026
                         Notice Board: Call for PaperVol. 7 Issue 6      Submission Start Date: June 01, 2026      Acceptence Notification Start: June 10, 2026      Submission End: June 25, 2026      Final MenuScript Due: June 30, 2026      Publication Date: June 30, 2026




Volume VI Issue V

Author Name
Vikash Kumar Choube, D S Rajput, Sachin Baraskar
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 5
Abstract
Gasifier is used for production of gas and pipes are employed to carry gases from gasifer to IC engines. Fins are the extended surface protruding from a surface or body and they are meant for increasing the heat transfer rate between the surface and the surrounding fluid by increasing heat transfer area. In gasifier power plant, condensing element used for decrease the temperature of hot gases which is found out from gasifier. In this condensing element fins are used for decreasing the temperature difference. The steady-state convection heat transfer from rectangular, triangular and proposed fins extending perpendicularly from vertical rectangular base was investigated numerically. The effects of geometric parameters and base-to-ambient temperature difference on the heat transfer performance of fin arrays were observed and the optimum fin separation values were determined. The aim of this investigation is to design a model and thermal analysis of gas carrying pipe with fins using ANSYS
PaperID
2025/IJEASM/5/2025/3153

Author Name
Varun Ganjir, Anju Lata Gajpal
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 5
Abstract
In the era of digital transformation, Artificial Intelligence (AI)-enabled Customer Relationship Management (CRM) systems have emerged as pivotal tools for enhancing client engagement, retention, and financial performance, particularly within the banking sector. This empirical investigation evaluates the transformative influence of AI-integrated CRM platforms on customer loyalty and institutional profitability, leveraging MATLAB-based statistical modelling for data analysis. The study employs a mixed-methods approach with a robust dataset collected from major Indian commercial banks. Results indicate a positive correlation between AI-driven CRM deployment and improved client retention metrics and financial KPIs. The paper concludes with strategic recommendations for AI implementation to optimize client-centric banking operations.
PaperID
2025/IJEASM/5/2025/3154

Author Name
Rakesh kumar Bharti, Vikas Patidar
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 5
Abstract
In cases where the space available for the Reinforced Earth (RE) walls is less than required, "narrowed reinforced earth walls" are usually preferred for construction which placed adjacent to the existing stable slopes/walls. The behavior of such narrow RE walls differs from traditional RE walls and differences include a magnitude of earth pressure, failure modes, and distribution of tension along with the reinforcement which is required to be understood as these wall systems have contrasting behavior to conventional RE wall. Also, by considering actual characteristics of narrow RE walls, the design of a narrow RE wall can be improvised further to give economical design solutions. Hence, this paper provides reviews of research papers that have been done so far with regards to the narrow RE wall. That research work covers an extensive scope of the area, including centrifugal modeling study, numerical modeling, and fieldscale tests on the performance of a narrow RE wall. Literature study
PaperID
2025/IJEASM/5/2025/3156

Author Name
Robin Kumar, Shobhit Jain, Shailendra Yadav
Year Of Publication
2025
Volume and Issue
Volume 6 Issue 5
Abstract
This paper presents the design, implementation, and preliminary evaluation of a medical chatbot built using a large language model (LLM), LangChain, and a vector database (PineCone). The chatbot is designed to answer user queries related to medical information, leveraging a custom dataset derived from ”The Gale Encyclopedia of Medicine” We detail the system architecture, data preprocessing steps, vector embedding generation, query processing, and response generation. We also discuss the challenges encountered and potential future improve- ments. This work demonstrates the feasibility of using generative AI for domain-specific question answering in the medical field
PaperID
2025/IJEASM/5/2025/3157