Deep reinforcement learning (DRL) workloads such as Deep Q-Networks (DQNs) require repetitive forward evaluations of both the Q-network and the target network, which leads to high training latency and inefficient resource utilization on edge System-on-Chip (SoC) platforms. This paper presents an efficient parallel doub...
A. Sumarudin, Andi M. Riyadhus Ilmy, Nana Sutisna et al.· IEEE Access· 0 citations
Object detection plays a crucial role in image processing and data analysis by enabling the extraction of visual information that supports decision-making across diverse practical domains. Applications of object detection span intelligent healthcare, autonomous vehicles, surveillance, robotic vision, and precision agri...
D. Endrawati, I. Syafalni, Nana Sutisna et al.· IEEE Access· 0 citations
Respiratory rate (RR) is a vital physiological marker whose accurate and continuous monitoring holds particular clinical significance. Conventional contact-based sensors, while reliable, impose physical constraints that may cause discomfort and skin irritation. Radar-based sensing, particularly frequency-modulated cont...
Nur Ahmadi, H. V. Tanoto, Diyah Widiyasari et al.· IEEE Access· 0 citations
This work highlights the potential of PCG-based MI detection as a low-cost, non-invasive diagnostic alternative, particularly valuable for early screening and triage in resource-limited healthcare settings.
Ira Puspasari, Nobuo Watanabe, Masahiro Ohwada et al.· Scientific Reports· 0 citations
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