IC-BDHRM - 2023

International Conference on Business Development and Human Resource Management (IC-BDHRM)

Articles

Enhancing Sentiment Analysis with an Attention-Based Machine Learning Model

Dr. M. Sunil Kumar, Mr. S. Girinath, A. Mohitha, K. Ramyasree, K. Mounika,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

The study focuses on applying attention mechanisms in sentiment analysis tasks specifically on Twitter data. Sentiment analysis involves determining the sentiment expressed in a given text, suc...Read More

A Smart Air Pollution Detector Using Machine Learning

Dr. M. Sunil Kumar, MS. M. Sowmya vani, M.Saikumar, G. Bharath, A. Sairam,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Air pollution is a significant global concern that poses numerous health risks and environmental challenges. To tackle this issue effectively, the development of advanced air pollution ...Read More

Adoption of ChatGPT in Higher Education – Application of IDT Model, Testing and Validation

V V Devi Prasad Kotni , Devi Prasad Ungarala, Pinakapani Peri, Somasekhararao Nitcharla, K V Nagaraj, Mohammad Mustafa,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

ChatGPT refers to a latest AI tool which is natural language processing (NLP) based, an interactive Chatbot, which can do conversation with identified and notable users for various pur...Read More

Detection of Vulnerability in Websites Predominantly against CSRF using Machine Learning

Laxman Singh, Dr.R.Suguna , Padma Parshapa, C.Nagesh, Dr. ADAPA GOPI, D K Shareef,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Nowadays, web applications serve as the primary edge for accessing security-sensitive data and functionality. These applications are frequently used for tasks such as filing taxes, a...Read More

Advancements in Heart Disease Prediction: A Comprehensive Review of ML and DL Algorithms

M. SUNIL KUMAR, Akshay Kumar Sah, Getla Ruthvik, MD Sakiv Prabez, Rahul Adhikari,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Heart disease remains a leading cause of mortality globally, emphasizing the need for effective early prediction. This paper provides a comprehensive review of both machine learning (...Read More

The Role of AI in Biochips for Early Disease Detection

Dr.K.Indhumathi, P.Balamurugan, R P Ambilwade, P. Mohana Sunthari, Dr. Natrayan L,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Improvements in illness diagnosis made possible by combining AI with biochip technology. It highlights the use of AI to improve the sensitivity and efficiency of biochips, allowing for ...Read More

English language &Linguistic teaching Strategies based on deep Learning

Mohd Shamim, Sourav Choudhury, Joyir siram , Dr Suresh Frederick, Akshay Ashok Bannatti , L.Rahunathn ,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This research paper investigates the potential of in corpora ting deep learning techniques into English language and linguistic teaching strategies. With the rapid advancements in deep l...Read More

Exploring the Impact of AI and Machine Learning Algorithms on Engineering Education: A Comprehensive Analysis of Research Articles in the Journal of Engineering Education

Abhijit Vhatkar, Dr. Vilis Pawar, Soumyakant Dash, Mandar Brahme, Dr. D. Y. Patil Vidyapeeth, Lavendra Patil,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents a comprehensive analysis of the impact of AI and machine learning on engineering education through research articles in the Journal of Engineering Education. T..Read More

A Novel Preprocessing Technique to Aid the Detection of Infected Areas of CT Images in COVID-19 Patients Artificial Intelligence (AI) for Communication Systems

J. Kalaivani , Dr. A.S. Arunachalam, Dr. R. Gobinath,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents a novel preprocessing technique for the detection of infected areas in COVID-19 CT images. The proposed technique leverages the power of artificial intelligence (AI) to enhance communication systems in the context of disease detection. By applying advanced AI algorithms to preprocess CT images, the technique aims to improve the accuracy and efficiency of detecting infected areas related to COVID-19. The integration of AI into communication systems enables faster and more reliable image analysis, leading to more effective diagnosis and treatment planning. The results of this study showcase the potential of AI-driven preprocessing techniques in enhancing communication systems for improved healthcare outcomes

Examining the Impact of User Credibility Score-Based Collaborative Filtering in E-commerce: Leveraging Machine Learning for Vehicle-to-Everything (V2X) Communication.

R. Anitha, Dr.D. Vimal kumar,

Year: 2023 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract explores the impact of user credibility score-based collaborative filtering in the context of e-commerce. The study investigates how user credibility scores can enhance the accuracy and effectiveness of collaborative filtering recommendation systems in e-commerce applications. Machine learning techniques are employed to analyse user behaviour and preferences, and to generate reliable credibility scores. Additionally, the research explores the integration of vehicle-to-everything (V2X) communication in the e-commerce domain, leveraging the advancements in communication technologies to enhance the recommendation process. The findings of this study contribute to improving the personalized shopping experience for users, increasing the relevance and reliability of recommendations, and fostering efficient and secure communication in the e-commerce ecosystem.