Data augmentation, the artificial creation of training data for machine learning by
transformations, is a widely studied research field across machine learning disciplines …

Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …

The process of creating high-quality labeled data is crucial for training machine-learning
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …

Building a high-accuracy utilization factor prediction model for tunnel boring machine with
limited available data is a research challenge. To solve the problem mentioned above, a …

Customer attrition has become the focus of many businesses today–since the online market
space has continued to proffer customers, various choices and alternatives to goods …

Data augmentation (DA) is indispensable in modern machine learning and deep neural
networks. The basic idea of DA is to construct new training data to improve the model's …

GPT (Generative Pre-trained Transformer) represents advanced language models that have
significantly reshaped the academic writing landscape. These sophisticated language …

Artificial Intelligence (AI) has been used for processing data to make decisions, interact with
humans, and understand their feelings and emotions. With the advent of the internet, people …

Relation extraction (RE) tasks show promising performance in extracting relations from two
entities mentioned in sentences, given sufficient annotations available during training. Such …

Recent developments in the field of artificial intelligence allow for improved performance in
the automated assessment of extended response items in mathematics, potentially allowing …