Abstract: The monitoring of respiratory rate (RR), heart rate (HR), HR variability (HRV), and blood pressure (BP) during sleep allows for a comprehensive evaluation of sleep quality, facilitating the ...

Abstract: The theory of the diffraction grating pair is developed by expanding the frequency dependence of the phase shift as far as the quadratic frequency term. The analogy between pulse compression ...

Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...

Book Abstract: In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, "father of the MRI ...

Abstract: This paper delves into the distributed resilient state estimation-based secure control in multi-agent systems under false-data injection attacks. Firstly, we propose a novel adaptive ...

Abstract: Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex ...

Abstract: Modeling and solving the flexible job shop scheduling problem (FJSP) is critical for modern manufacturing. However, existing works primarily focus on the time-related makespan target, often ...

Abstract: Large Language Models (LLMs) serve as critical foundations for a wide range of generative AI applications, which demand substantial memory and storage. The advent of monolithic 3D stackable ...

Abstract: For three-dimensional (3D) imaging based on fringe projection profilometry (FPP), maximum fringe frequency selection and fringe frequencies allocation have a significant impact on the ...

Abstract: Underwater Image Quality Assessment (UIQA) is currently an area of intensive research interest. Existing deep learning-based UIQA models always learn a deep neural network to directly map ...

Abstract: In this paper, an optimal transportation particle method has been proposed to deal with data fusion problem. The proposed method can handle prediction, filtering, and smoothing problems ...