Abstract: The rapid advancement of battery management systems (BMS) in automotive applications demands real-time, automated data acquisition, and visualization architectures capable of handling ...
Abstract: Split computing (SC) is an emerging technique to perform the inference task of deep neural network (DNN) models using both mobile devices and cloud/edge servers in a hybrid manner. To ...
Abstract: In view of the qualitative digitization and quantitative analysis of the damage status of ancient relics, this paper presents a method to automatically extract the surface damage area of the ...
Abstract: In the pursuit of organizational goals, addressing the fundamental needs of employees, such as ensuring the availability of drinking water, plays a pivotal role in fostering a productive, ...
Abstract: This paper presents an effective master-slave distributed voltage and frequency modulation circuit for processors in system-on-chip (SoC). This work achieves dynamic voltage and frequency ...
Abstract: This paper introduces a real-time multi-objective adaptive Energy Management Strategy (EMS) based on a Multi-Agent Reinforcement Learning (MARL) architecture. Leveraging Twin Delayed Deep ...
Abstract: In contrast to the limited artificial intelligence (AI)-related research in fifth-generation networks, the usage scenarios of AI and communication in sixth-generation (6G) networks encourage ...
Abstract: Computing-in-memory (CIM) has been proven to achieve high energy efficiency and significant acceleration effects on neural networks with high computational parallelism. Based on typical ...
SYRACUSE, N.Y. (WSYR-TV)—If you drive in New York, changes set to come early 2026 from the Department of Motor Vehicles could have a significant impact on your license. The DMV is overhauling its ...
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