About Journal
Electronic International Interdisciplinary Research Journal (EIIRJ) is an open access, peer-reviewed and refereed journal published by Multidisciplinary Scholarly Research Association, India & Aarhat Publication and Aarhat Journals, India. The main objective of Electronic International Interdisciplinary Research Journal (EIIRJ) is to provide an intellectual platform for the international scholars. Electronic International Interdisciplinary Research Journal (EIIRJ) aims to promote interdisciplinary studies in Humanities, Social Science and Science, Engineering and become the leading journal in Interdisciplinary in the world.
The journal publishes research papers in the fields of Social Sciences, Arts, And Humanities ,Science, Management, Engineering, Library And Information Sciences ,Archaeology, Education, Law, Economics, Accounting, Finance, Human Resource Management, Marketing, Architecture, Epigraphy, Economics, Education, Ethics, History Of Science, Sociology, Psychology, Morphology, Museology, Papyrology, Philology, Preparation/Conservation, Philosophy, Political Science, Population Studies, Psychology, Public Administration, Sociology, Social Welfare, Linguistics, Literature, Paralegal, Performing Arts, Religion, Underwater Archaeology, English Literature, Geography, Mathematics etc and so on.
The journal is published in both print and online versions.
Electronic International Interdisciplinary Research Journal (EIIRJ) Journal is now published in English as well as in Hindi & Marathi and it is open for submission by authors from all over the world. It is currently published 6 times a year, in Feb, April, June, August, October
Recently Published Articles
Original Research Article
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April 30, 2024
50 Downloads
THE RISE OF THE SMART HOME: HOW AI IS TRANSFORMING HOUSEHOLD APPLIANCES
Mr. Ajay B. Pashankar
DOI : 10.5281/EIIRJ.10968390
Abstract
Certificate
Our homes are on the cusp of a revolution driven by Artificial Intelligence (AI). This paper explores the integration of AI in household equipment, examining its impact on efficiency, convenience, and personalization. We will delve into specific applications across various appliances, analyse the benefits and challenges, and discuss the future trajectory of this exciting trend.
Original Research Article
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April 30, 2024
33 Downloads
DESIGN AND ANALYSIS FOR FABRICATION OF AN INTEGRATED SYSTEM FOR MATERIAL DETECTION LEVERAGING DEEP LEARNING
Pradnya B. Mahajan, Dr. Nrupura R. Dixit & Dr. Vinod Moreshwar Vaze
DOI : 10.5281/EIIRJ.10943912
Abstract
Certificate
The Technique of categorizing materials into distinct groups according to the component materials of the thing being studied is known as material recognition. In many domains, particularly the industrial one, it is a vital issue. One step in the production line manufacturing process involves the separation and packaging of various commodities in factories. Then, it is beneficial to transfer each material into designated containers. It is possible to automate this phase, which can increase productivity and save time and money. Our method for material recognition was developed using the latest developments in deep learning, and it achieved an accuracy of 79.25% when evaluated on the Flicker Materials Database (FMD). We also developed a local database utilizing elements from our environment using a camera mounted on a Raspberry Pi 3 embedded device, and that gave an accuracy of 90.5%. With only few modifications, the self-contained system can be installed in any factory.
Original Research Article
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April 30, 2024
36 Downloads
AI IN MARKETING: REVOLUTIONIZING CUSTOMER SEGMENTATION AND TARGETING
Mr. Sujeet R. Singh
DOI : 10.5281/EIIRJ.10942683
Abstract
Certificate
The marketing landscape thrives on understanding customers. Traditional methods of customer segmentation and targeting, while valuable, often lack the depth and agility needed in today's data-rich environment. Artificial intelligence (AI) offers a transformative approach, empowering marketers to create hyper-personalized experiences and achieve significant ROI gains. This paper explores the role of AI in customer segmentation and targeting, highlighting its impact on marketing effectiveness.
Original Research Article
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April 30, 2024
34 Downloads
ARTIFICIAL INTELLIGENCE IN CHEMISTRY: A SYSTEMATIC REVIEW
Dr. Suman D. Tripathi & Dr. Jayashri S. Shukla
DOI : 10.5281/EIIRJ.10942055
Abstract
Certificate
Chemistry is the branch of science that is concerned with the study of the structure, composition, properties, and reactions of matter. Many aspects of chemistry, such as drug discovery, predicting chemical reactions, and designing materials, involve complex processes that require intelligent analysis and interpretation. In recent years, Artificial Intelligence (AI) has emerged as a powerful tool for tackling complex chemical challenges. AI's exceptional data processing capabilities offer significant potential benefits across scientific fields. The integration of AI techniques and technologies including the development of machine learning techniques, hardware platforms, and algorithms has enabled chemists to analyse vast amounts of data, optimize chemical processes, and design new molecules and materials faster and more accurately than ever before. In this review article, we tried to provide an overview on the latest developments and trends in AI applied to chemistry and highlight the potential of this technology to revolutionize the field.
Original Research Article
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April 30, 2024
38 Downloads
LEVERAGING A.I. TOOLS FOR CYBERSECURITY AND DIGITAL FORENSICS
Mr. Vijaykumar L. Vastava
DOI : 10.5281/EIIRJ.10942772
Abstract
Certificate
As the digital landscape evolves, so do the threats and challenges in the realm of cybersecurity and digital forensics. This paper explores the integration of Artificial Intelligence (A.I.) tools in addressing these challenges, specifically focusing on their applications in digital forensics. The objective is to provide an in-depth analysis of how A.I. technologies enhance the efficiency and effectiveness of cybersecurity and digital forensics practices, aiding in the detection, prevention, and investigation of cyber incidents
Original Research Article
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April 30, 2024
32 Downloads
AI IN MARKETING TOWARDS SOCIAL MEDIA AND AI
Vaibhav Ashok Patil
DOI : 10.5281/EIIRJ.10953436
Abstract
Certificate
Artificial intelligence (AI) is a branch of computer science that deals with the capability of a machine to imitate human intelligent behavior. It has the potential to help tackle some of the world’s most challenging social problems. Modern social media, also known as social networking, include Facebook, Twitter, Instagram, Pinterest, and YouTube. AI is a fundamental component of how today’s social networks function. The use of AI in social media is growing in an unprecedented way and is constantly transforming social media. This paper explores various artificial intelligence tools and their impact on social media companies
Original Research Article
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April 30, 2024
37 Downloads
ENHANCING FRAUD DETECTION WITH AI: ANALYSIS OF CASE STUDIES
Dr. Devanjali Dutta
DOI : 10.5281/EIIRJ.10941962
Abstract
Certificate
A major threat to the security and integrity of the financial sector in the ever-changing world of financial transactions is the frequency and sophistication of fraudulent activity. Investigating how Artificial Intelligence (AI) can improve fraud detection techniques is the focus of this study. This AI-enhanced fraud detection system has shown encouraging results in terms of improved scalability, fewer false positives, and greater accuracy. The application of AI in fraud detection is a crucial and revolutionary tactic in preventing financial losses and preserving the integrity of digital ecosystems as businesses work to stay a step ahead of fraudsters. Regarding financial transactions, the main goal is to investigate how artificial intelligence (AI) technologies, in particular machine learning algorithms, are transforming fraud detection through previously unheard-of levels of accuracy, speed, and flexibility
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