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The healthcare industry operates in a dynamic environment where the effective management of patient waiting lists is paramount to ensuring timely and efficient delivery of care services. This executive summary provides a concise overview of the comprehensive study conducted to analyze the current status of patient waiting lists, examine historical trends, and conduct detailed specialty-level and age-profile analyses. The study was undertaken with the objectives of tracking the current st...

The research project titled "Alpha Decay in Indian Mutual Funds" aims to investigate the phenomenon of alpha decay and its implications within the context of the Indian mutual fund industry. Alpha decay refers to the gradual reduction in the excess returns generated by a fund manager over a benchmark index over time. Understanding alpha decay is crucial for investors, fund managers, and policymakers as it sheds light on the efficiency and sustainability of active management strategi...

This study investigates the relationship between internet banking usability and customer satisfaction specifically among quadragenarians (individuals aged 40-49) and quinquagenarians (individuals aged 50-59). With the growing adoption of internet banking in India, understanding the user experience of these demographics is crucial for banks to enhance customer satisfaction, loyalty, and retention. The research explores various factors influencing customer satisfaction, including: Eas...

The prevalence of cyber-attacks in today's digital landscape has created a pressing need for the development of effective intrusion detection systems. Among the various approaches available, machine learning algorithms have emerged as a promising solution in this domain. This research focuses on investigating the effectiveness of three popular machine learning algorithms, namely K-Nearest Neighbors (KNN), Decision Tree, and Random Forest, for network intrusion detection. To evaluate t...

Predictive modeling using machine learning techniques plays an important role in various fields. We can explore the use of machine learning algorithms to predict outcomes such as disease progression, stock prices, or customer behavior. Using large data sets and advanced algorithms, we aim to increase accuracy and provide useful information for decision makers. Worldwide, breast cancer is the most frequent cancer diagnosed in women, and its incidence is rising yearly. Early diagnosis ...

Petri Nets provide a way of representing changes over time which is structured and is widely used for representing models of various systems. However, expertise in programming is required for working with Petri Nets and can often be complex. This is where PNet, a Python library that is intended to make working with Petri Nets much easier, is introduced. Without needing to be a coding expert using PNet, you can define your Petri Net using a simple text based language. You can use reg...

Technologists are being encouraged to develop useful and efficient methods and procedures for the production and joining of Al-alloys and their metal matrix composite by the growing application of aluminum in numerous industries. It has been noticed that AA7475 plates and sheets are currently used in high-performance aviation applications. However, due to the challenging-to-weld nature of the Al-alloy, the primary obstacle to these applications is the appropriate joining technique. ...

This thesis explores multiple innovative machine learning and deep learning approaches to accurately predict student performance, providing educational institutions with valuable insights for improving academic fineness and identifying students at high risk for academic challenges. The research introduces four distinct models: Transient Search Capsule Network dependent on Deep Autoencoder (TSCNDE), Gannet Hunt Long Short Term Memory (Gannet Hunt-LSTM), Discriminability-Enhanced Tr...

The manufacturing industries are undergoing phenomenal changes all across the globe. Competitive pressures and market dynamics urged the manufacturing processes to enhance their productivity and performance. Moreover, crucial need to reduce the cost and maintaining the high quality standards is raised by customers. The role of automotive sector is highly significant in growth of the emerging economy like India. Industrial Managers, Policy makers, Practitioners needs to be on forefro...

Energy is essential for sustaining human life and is a key indicator of a society's prosperity and development. However, rapid population growth and industrialization have significantly increased global energy demand for electricity, heating, and cooling, leading to energy crises. To meet this demand, excessive use of fossil fuels, which are already limited in availability, has become prevalent. Consequently, burning these fuels, particularly the emission of greenhouse gases like CO...

In the past decade, technological advancements in Very Large Scale Integration (VLSI) have increased integration density, pushing power to its limits and challenging packaging and cooling systems. The increasing demand for portable devices, notably smartphones, and the expanding adoption of Internet of Things (IoT) necessitate faster, power-efficient devices with extended battery life. As a result, it's crucial to develop energy efficient designs that offer improved performance. Sta...

This thesis presents a comprehensive comparative study on the impact of high-speed train loading on two types of superstructures: U-Girder and Box Girder, specifically within the context of the Regional Rapid Transit System (RRTS) in India. The research delves into the structural behaviour, dynamic response, economic considerations, and construction benefits under high-speed rail loading conditions. The study employs a detailed dynamic analysis of U-Girder and Box Girder bridges usin...

Rare earth elements (REEs) are known as the “vitamins or nutrients” of metals. The addition of rare earth elements in a limited quantity can enhance the properties of materials. The high pressure-high velocity oxy liquid fuel (HP-HVOLF) also called as high pressure-high velocity oxy fuel (HP-HVOF) process is well-known industry adopted thermal spraying process for developing high melting point powder coatings over various surfaces. This study is mainly focused on effect of adding vari...

Sustaining success in the highly competitive global economy requires an understanding of customer behavior and building brand loyalty. This study examines the complex connection between consumer happiness and brand loyalty to the well known Nike company worldwide. The study uses a combination of methods to gather both types of data: numerical data and descriptive information. While qualitative interviews offer more nuanced insights into consumer opinions and experiences, quantitative...

The report based on my major research project starts with an introduction of the research project, scope, and objectives of the project, leading to the literature review, conceptual framework of employee engagement, research methodology and analysis. The purpose of this report is to explore the impact of onboarding on employee retention and performance. The success of an organization depends on its employees, and their performance and retention are crucial for achieving its goals. The on...

The study of social media strategies for online businesses reveals that social media marketing has become a crucial tool for businesses to connect with their target audience and achieve their objectives.  Study showed that the recommended frequency of posting on social media for advertising purposes is three times a week, as it helps in keeping the brand name and its services on top of the customers' minds.  It was highlighted by the study that when company makes a presence on the soc...