Notice Board :

Call for Paper
Vol. 5 Issue 11

Submission Start Date:
Nov 01, 2024

Acceptence Notification Start:
Nov 10, 2024

Submission End:
Nov 25, 2024

Final MenuScript Due:
Nov 30, 2024

Publication Date:
Nov 30, 2024
                         Notice Board: Call for PaperVol. 5 Issue 11      Submission Start Date: Nov 01, 2024      Acceptence Notification Start: Nov 10, 2024      Submission End: Nov 25, 2024      Final MenuScript Due: Nov 30, 2024      Publication Date: Nov 30, 2024




Volume IV Issue X

Author Name
Farhan Khan, Rahul Sharma
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 10
Abstract
This research paper aims to compare and analyze the design provisions of three international bridge design codes: Indian Roads Congress (IRC), American Association of State Highway and Transportation Officials (AASHTO) LRFD, and Eurocode. The study focuses on a typical T-Girder RCC bridge and evaluates response behaviors and design philosophies according to these codes. Additionally, it explores the impact of actual Indian truck loading on bridge superstructure design. The major conclusions and recommendations highlight the potential applicability of Eurocodes in the Indian context and suggest areas for future research and guideline development.
PaperID
2023/IJEASM/4/2023/1891

Author Name
Pradeep Kumar, Shaifali Tripathi
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 10
Abstract
The COVID-19 pandemic has had a major impact on our lives, changing how people spend their time, search for and buy things, and how businesses, brands, and marketers advertise and promote their products and services. Has had an impact. During this pandemic, the use of social media channels has increased at a great pace. People have started spending most of their time on the Internet. Along with this, business organizations are also looking to increase their role on online platforms. They have started promoting their products and services on social media channels and have received huge response. For this reason, social media marketing is becoming a growing trend in business marketing. In this exploratory research, we look at how business organizations are benefiting from using social media channels. The purpose of this research is to investigate the role of social media marketing on business companies.
PaperID
2023/IJEASM/4/2023/1891a

Author Name
Pooja Thapa, Vivek Shukla, Jyoti Yadav
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 10
Abstract
This research explores recent advancements in mitigating the impact of thermal bridging in wall assemblies constructed with cold-formed steel. Thermal bridging, the unintended transfer of heat through structural components, poses significant challenges to energy efficiency and building performance. This study investigates emerging materials and insulation technologies, advanced modeling and simulation techniques, innovative building envelope designs, smart building technologies, and updates to building codes and standards that collectively contribute to the mitigation of thermal bridging effects. The research highlights the adoption of advanced insulation materials such as aerogels and vacuum insulation panels, as well as the integration of phase change materials to enhance insulation performance. Advanced modeling tools and building information modeling (BIM) software enable designers to identify and address thermal bridging issues during the design phase. Dynamic thermal simulation t
PaperID
2023/IJEASM/4/2023/1892

Author Name
Poorvi Vishwakarma, Chetan Agrawal, Pramila Lovanshi
Year Of Publication
2023
Volume and Issue
Volume 4 Issue 10
Abstract
Today agriculture is very important because of the country's growing population and rising food needs. Therefore, it is necessary to increase crop productivity. One of the major factors contributing to reduced crop yields is the presence of bacterial, fungal, and viral diseases. Plant disease detection techniques can be used to handle and prevent this. Since machine learning primarily uses information from the data itself and provides excellent methods for detecting plant diseases, it will be used in the process of identifying diseases in plants. Machine learning methods can be used to identify diseases because they primarily focus on data superiority outcomes for a certain goal. This method uses deep learning and machine learning based on artificial intelligence (AI) to provide a thorough review of all the methods used in plant disease identification.
PaperID
2023/IJEASM/4/2023/1892a