[ad_1] Introduction In recent years, there has been a growing interest in the use of chatbots for mental health support. Chatbots are computer programs designed to simulate conversation with human users, typically over the internet.…
Read More
[ad_1] Introduction: Social media has become an integral part of people’s daily lives, providing a platform for individuals to express their opinions, thoughts, and feelings about various topics, including brands. Brands are increasingly interested in…
Read More
[ad_1] Introduction: Image segmentation is a crucial task in medical image analysis, as it plays a vital role in various clinical applications such as tumor detection, organ segmentation, and disease classification. Deep learning algorithms have…
Read More
[ad_1] INTRODUCTION 1.1 Introduction 1.2 Background of the Study 1.3 Problem Statement 1.4 Objective of the Study 1.5 Limitation of the Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Thesis…
Read More
[ad_1] Introduction The rapid development of the Internet of Things (IoT) has led to the deployment of a large number of sensor devices in various environments, such as smart homes, smart cities, and industrial settings.…
Read More
[ad_1] Introduction Social network analysis (SNA) is a powerful tool that leverages network theory and data analysis techniques to study the structure and behavior of networks. In recent years, SNA has gained increasing attention in…
Read More
[ad_1] Introduction: In recent years, the use of predictive modeling for credit risk assessment has gained significant attention in the financial industry. This approach allows financial institutions to analyze historical data and predict the creditworthiness…
Read More
[ad_1] Introduction Facial recognition technology has gained significant attention in various fields due to its ability to accurately identify individuals based on their facial features. One of the applications of this technology is in attendance…
Read More
[ad_1] Introduction: Wind turbines are critical components in the generation of renewable energy. However, the maintenance of these turbines can be costly and time-consuming. Predictive maintenance, using sensor data and machine learning algorithms, has emerged…
Read More
[ad_1] Introduction Customer churn prediction is a crucial task for businesses, especially in the banking industry where customer retention is vital for long-term profitability and sustainability. With the advent of big data and advanced machine…
Read More