The article discusses the latest research on the problem of fake activity associated with the
creation of phishing sites and the sending of phishing emails. The relevance of this problem …

At present, the excessive amount of loan consultation has brought great pressure to manual
customer service. However, the existing loan question answering (QA) platforms cannot …

Solving machine learning problems with small-scale training datasets becomes an
emergent research area to fill the opposite end of big data applications. Attention is drawn to …

The epidemic taught us to keep digital health records. It also showed us how wearable
observing gear, video conferences, and AI-powered chatbots may give good treatment …

Multi-label classification is an important task in machine learning applications. However,
today, these methods have more challenges due to high-dimensional data. Existing …

This study investigates an approach that combines text and image data to classify web
pages based on their content. In this methodology, Convolutional Neural Networks (CNN) …

The epidemic taught us to keep digital health records. It also showed us how wearable
observing gear, video conferences, and AI-powered chatbots may give good treatment …

When the patient's body is compromised in any way, they will likely be in a lot of pain. If the
caregiver is aware of the level of pain that the patient is experiencing, they will be better able …

Efficiently optimizing machine learning techniques for the interpretation of electrocardiogram
(ECG) and electroencephalogram (EEG) data is a crucial undertaking in the field of …

The increasing adoption of high-speed networks, exemplified by the proliferation of
100/400G internet technologies, represents a pivotal shift in the digital land-scape. As data …