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

In designing neuromorphic circuits and systems, develo** compact and energy-efficient
neuron and synapse circuits is essential for high-performance on-chip neural architectures …

Accurately estimating the State of Charge (SOC) in Electric Vehicles (EVs) is critical for
battery management and operational efficiency. This paper presents a Deep Learning (DL) …

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

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 …

Stress has a significant negative impact on people, which has made it a primary social
concern. Early stress detection is essential for effective stress management. This study …

Radar high-resolution range profile (HRRP) provides geometric and structural information of
target, which is important for radar automatic target recognition (RATR). However, due to the …

Background Tea pests pose a significant threat to tea leaf yield and quality, necessitating
fast and accurate detection methods to improve pest control efficiency and reduce economic …

In real scenarios, accurate and real‐time detection of traffic signs is of great significance to
the automatic driving system. To meet the requirements of detection accuracy and speed, a …

Given the escalating global energy consumption and the concurrent economic and energy
crises, energy-saving behaviour must be adopted on a large scale. Universities that are …