Paper List

Abdulmajeed Alhumaidi, Yosab Bebawy, Roman Obermaisser

Deep neural networks (DNNs) are increasingly critical to embedded and cyber–physical systems that demand strict real-time guarantees. However, the computational intensity of modern DNNs often exceeds ...

Arnaud Dion, Jérôme Lacan, Ahlem Mifdaoui

Time-Sensitive Networking (TSN) has become a key enabler for deterministic and reliable communications for safety-critical systems. Among its mechanisms, Frame Replication and Elimination for Reliabil...

Yunguo Yu

Healthcare revenue cycle management (RCM) loses billions annually to claim denials, yet existing machine learning approaches treat billing as a prediction problem rather than a decision problemthey pr...

BLESSINA PREETHI R, Saranya Nair M

Agrovoltaic systems increasingly rely on Internet of Things (IoT)-enabled heterogeneous wireless sensor networks (HWSNs) for real-time environmental monitoring. However, energy inefficiency and redund...

Wonhyeok Choi, Shutong Ding, Minwoo Choi, Jungwan Woo, Kyumin Hwang, Jaeyeul Kim, Ye Shi, Sunghoon Im

Diffusion policies have emerged as a powerful approach for robotic control, demonstrating superior expressiveness in modeling multimodal action distributions compared to conventional policy networks. ...

Essia Ben Alaia, Slim Dhahri, Mourad Elloumi, Afrah Alanazi, Sahar Almenwer, Omar Naifar

This paper presents a staged deep-learning framework for robust modeling of noisy multi-input multi-output (MIMO) Hammerstein systems under correlated measurement disturbances. The proposed architectu...

Nithil Harris Manimaran, Huayuan Han, Cory Merkel, Ke Xu

Neuromorphic computing based on artificial synapses requires devices capable of gradual, repeatable, and energy-efficient conductance modulation. Ionically gated transistors are promising candidates b...

Florian Roth, Mark Edwin Tupas, Bernhard Bauer-Marschallinger, Matthias Schramm, Wolfgang Wagner

Floods have caused severe damages in Austria in recent years, and climate change is expected to increase flood risks in the future. While Austria has an advanced hydrological measurement network for f...

Rongkun Gao, Yuqi Song, Hyung Jong Na, Hyungjoon Kim

Forecasting the consumer price index (CPI) is essential for inflation monitoring and policy design, yet existing studies often rely on limited economic variables and single-country settings. This stud...

Ziad Salah, Ashraf A. Mohamed

Artificial intelligence is increasingly integrated into professional cybersecurity workflows, yet the cognitive effects of AI assistance on researcher behavior remain poorly understood. This paper int...