Federated learning emerges as a solution to the dilemma of data silos while safeguarding
data privacy, particularly relevant in the consumer electronics sector where user data privacy …

Forest fires can cause tremendous damage to the environment and irreparable loss to
individual properties. Using deep learning algorithms on embedded sensing devices to …

Defect detection in power scenarios is a critical task that plays a significant role in ensuring
the safety, reliability, and efficiency of power systems. The existing technology requires …

This paper introduces a novel approach GPTFX, an AI-based mental detection with GPT
frameworks. This approach leverages GPT embeddings and the fine-tuning of GPT-3. This …

Different emotional states have different impacts on the emotional system. To mitigate these
impacts, the emotional system will maintain the stability of the system through various …

Multimodal machine learning, as a prospective advancement in artificial intelligence,
endeavors to emulate the brain's multimodal learning abilities with the objective to enhance …

The development of brain-like artificial intelligence is based on the cognitive functions of the
brain, which are influenced by the cross-modal interactions of learning and memory …

Negative emotions have been identified as significant factors influencing driver behavior,
easily leading to extremely serious traffic accidents. Hence, there is a pressing need to …

This paper introduces a flux-controlled memristor emulator circuit which can be controlled by
electronically both fix and variable parts of memristance. Here, the fix part symbolizes the …

Emotion Recognition in Conversations (ERCs) is a vital area within multimodal interaction
research, dedicated to accurately identifying and classifying the emotions expressed by …