The advent of human emotion data availability signifies a pivotal advancement, propelling
intelligent systems to elevate human-technology interaction. The fusion of emotions with …

In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of
challenges persist. From the intricate nuances of emotional subtleties to the broader …

Supervising an infant while managing household tasks poses a significant challenge for
parents, often leading to safety concerns due to limited time and attention for constant …

With employing the Internet of Things (IoT) sensors and modern-day machine learning
algorithms, this study presents a modern inquiry at the intersection of healthcare and era …

In this research, a detailed investigation of emotion was carried out using a variety of
advanced metrics, such as fidelity, inclusivity, F1-score, presence, presence ratio, as well as …

The effective interpretation and response to infant crying signals are imperative for ensuring
infant well-being. Manual interpretation of these signals can be challenging, leading to …

Reliability in identifying baby cries in various auditory contexts has significant consequences
for infant welfare and caretakers. To identify and highlight spectral features in audio data …

Present research is focused on consideration of emotional data. In order to deal with such
objective, EEG technique has been applied. Electroencephalography (EEG) is a technique …

Breast cancer is a major worldwide health concern, and patient outcomes are significantly
impacted by early detection and accurate prognosis. In this study, we present an integrated …

In the context of online grocery shopping, this research explores the potential applications of
machine learning models for improving and predicting customer behavior. Using a large …