[ad_1] Introduction Image-based crop disease detection has become a crucial tool in modern agriculture for early detection of plant diseases. With the advancement of technology in areas such as computer vision and machine learning, the…
Read More
[ad_1] Introduction Personalized recommendation systems have become an integral part of streaming services, as they play a crucial role in enhancing user experience by suggesting relevant content based on individual preferences. With the increasing competition…
Read More
[ad_1] Introduction Customer churn prediction is a critical aspect of customer relationship management in e-commerce platforms. As the competition in the online marketplace intensifies, retaining customers and reducing churn rate has become paramount for the…
Read More
[ad_1] Introduction Online gaming has become increasingly popular in recent years, with millions of players engaging in virtual worlds and competitive gameplay. However, with the growth of the online gaming industry, the issue of fraud…
Read More
[ad_1] Introduction Recommender systems have become an integral part of online advertising, helping businesses target their ads to the right audience and increase conversion rates. Through the use of algorithms and data analytics, recommender systems…
Read More
[ad_1] Introduction Time Series Forecasting is a valuable tool in predicting future trends based on historical data. In the context of stock prices, accurate forecasting can provide investors and financial analysts with valuable insights into…
Read More
[ad_1] Introduction: Wind energy has become increasingly popular as a renewable energy source in recent years, with wind turbines being a key component of this industry. As the number of wind turbines continues to grow,…
Read More
[ad_1] Introduction Insurance fraud is a significant problem that affects both insurance companies and policyholders. Fraudulent claims lead to increased premiums for honest policyholders and can ultimately threaten the financial stability of insurance companies. Detecting…
Read More
[ad_1] Introduction Time series data is a collection of observations taken at different points in time and is commonly encountered in various fields such as finance, health care, weather forecasting, and many more. Anomaly detection…
Read More
[ad_1] Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Thesis 1.9 Definition of…
Read More