Notice Board :





Volume XVI Issue X

Author Name
Rohit Chaudhary, Harsh Lohiya
Year Of Publication
2024
Volume and Issue
Volume 16 Issue 10
Abstract
This paper explores the application of machine learning (ML) techniques to analyze customer satisfaction from airline-related tweets. Social media platforms like Twitter offer a wealth of real-time customer feedback that can be valuable for airlines to monitor and improve service quality. This research focuses on implementing various machine learning models, including sentiment analysis, emotion detection, and topic modeling, to understand the key factors that influence customer satisfaction in the airline industry. The study also discusses the challenges involved in analyzing unstructured data from tweets and evaluates the effectiveness of different ML approaches for actionable insights.
PaperID
2024/EUSRM/10/2024/61611

Author Name
Vivek Pashine, Shaifali Tripathi
Year Of Publication
2024
Volume and Issue
Volume 16 Issue 10
Abstract
E-commerce is one of the enormous sectors of today era. The adoption of e-commerce growing every day. In today almost 90% of companies have a website or even companies that don’t offer e-commerce services, (Chadwick, 2011).E-commerce is one of the leading sectors. Several kinds of research have done on the impact of e-commerce on consumer behaviour. With the change in technology consumer’s lifestyle, the standard of living, preferences, choice, need and buying habit of consumers also changes. This study is conducted to understand consumers buying behaviour with technology change. This study tried to fill the time gap between existing literature and the current literature. This study will help e-commerce firms to understand the need and wants of consumers, and it also helps to follow current market trends. It aids firms to respond very quickly to change in technology, needs and wants of consumers. This study studied both the positive and negative of consumers because
PaperID
2024/EUSRM/10/2024/61613

Author Name
Shinde Shirish Narayan, Santosh Kumar Rai
Year Of Publication
2024
Volume and Issue
Volume 16 Issue 10
Abstract
The study focuses on the use of composite materials for automotive drive shafts, exploring their design, performance, and optimization in real-world applications. With the growing demand for lightweight and high-strength components, composite materials, particularly carbon fiber reinforced polymer (CFRP), glass fiber reinforced polymer (GFRP), and hybrid composites, have emerged as promising alternatives to traditional metallic shafts. The paper examines the effects of material properties, manufacturing processes, and environmental conditions on the performance of composite drive shafts, while exploring optimization techniques such as structural and multi-objective optimization to enhance their functionality.
PaperID
2024/EUSRM/10/2024/61615

Author Name
Meenakshi Pathak
Year Of Publication
2024
Volume and Issue
Volume 16 Issue 10
Abstract
This study investigates the physical, psychological, and motor skill factors that contribute to the overall performance of male university-level volleyball players. Volleyball, a sport that demands high levels of coordination, agility, strength, and psychological resilience, serves as an ideal context for exploring how these attributes influence performance on the court. The research examines three key domains: physical fitness, psychological factors, and motor skills, assessing their individual and combined impact on skill proficiency, particularly in specialized volleyball skills such as serving, passing, setting, and spiking. A comprehensive battery of tests was administered to a sample of male volleyball players from a university sports team, measuring physical attributes such as strength, flexibility, agility, and endurance; psychological factors including motivation, stress response, and focus; and motor skills like coordination, balance, and reaction time. The data collected wa
PaperID
2024/EUSRM/10/2024/61616