The gradual but consistent decrease in the number of customers retained over time is
referred to as “customer churn,” and it is a word that is frequently used in the business and …

Handwritten character recognition has continually been a fascinating field of study in pattern
recognition due to its numerous real-life applications, such as the reading tools for blind …

In recent years, Machine Learning and Data Mining based research become prevalent and
handwritten recognition is one of the hotcakes. Bangla handwritten word recognition and …

Ensemble learning has emerged as a potent method for improving prediction accuracy in
Big Data classification tasks. This paper presents a comprehensive study of ensemble …

Neuro-symbolic artificial intelligence (AI) stands at the frontier of machine learning by
amalgamating the interpretability and structured knowledge representation of symbolic …

One of the most groundbreaking approaches to the processing and analysis of large
datasets has been created as a result of the combination of MapReduce techniques and …

In this study, we look at how XGBoost (Extreme Gradient Boosting) may be used in
healthcare predictive analytics to improve the speed and precision of illness detection …

Autonomous vehicles'(AVs) capacity to identify and categorise things in real-time is crucial to
their development for the sake of efficient and safe navigation. Because of its exceptional …

Currently, popularity of Korean culture attracts many people to learn everything about Korea,
particularly its language. To acquire Korean Language, every single learner needs to be …

In this paper, an Indian Number Handwriting Recognition Model (INHRM) is proposed.
Mainly, the proposed model consists of four phases which are the image acquisition, image …