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The video demonstration corresponding to the 100th time step in Figure 13 for the HalfCheetah controlled by the random policy and the learned
policies with different methods. MDDPG(5) denotes the model-free counterpart with 5-step TD target. FNN-Model-MDDPG(5) and ResNet-Model-MDDPG(5) denote the FNN-model-based and our ResNet-model-based schemes with 5 dynamics models, respectively.

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We release a large-scale endoscopic video dataset covering seven types of intraoperative adverse events (iAEs) across heterogeneous surgical domains. Source domain: Cholec80 is re-annotated for iAEs detection from laparoscopic cholecystectomy videos. Target domain: dViAEs comprises robot-assisted colorectal and HPB surgery videos.

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Conventional ultrasound in vitro systems, such as petri dishes and well plates often introduce acoustic reflections and pressure accumulation, compromising the reliability and reproducibility of experimental results. Custom sonication vessels and setups, while addressing some of these issues, often involve complicated assembly processes and can be compatible only with specific experimental setups.

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This video demonstrates the real-time data acquisition and noise reduction capabilities of a CMOS capacitive sensor array (CSA) implemented on an FPGA. The system captures the evaporation process of a deionized water droplet placed on the sensor array, using multiple sampling (MS) and pixel-wise accumulation (PWA) techniques to enhance signal quality and reduce random noise. The system efficiently processes and transmits the data, showcasing the gradual reduction in the droplet's size as it evaporates.

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The pulse parameter-editable nanosecond pulse power supply (NPPS) based on all-solid-state Marx power topology is one of the critical excitation sources for studying the characteristics of atmospheric pressure low-temperature plasma (APLTP), its efficient applications, and the regulation of discharge characteristic. We have developed a 20kV/400W nanosecond pulse power supply with editable pulse edge parameters to validate the effectiveness of the diode-capacitor network (DCN) method.

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This dataset is supplementary materials for "Integrated VLC-RF System with Angular Diversity Receiver for Robust Industrial IoT Applications".

1. User monitoring application.mp4

This describes the prototype of the integrated VLC-RF system with the ADR for IoT applications. It starts from the introduction of experiment setup.

Real-time sensor data transmission is demonstrated. In the demonstration, light sensor data is uploaded to the Wi-Fi cloud via Uplink.

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This dataset is supplementary materials for "Study and Implementation of VLC with Angular Diversity Receiver for IoT Systems".

1. ADR Demonstraion.mp4

This describes the prototype of the ADR for IoT systems. It starts from the introduction of the prototype to the demonstration.

Real-time sensor data transmission is demonstrated. The monitor shows the light sensor value at the access point and the user node.

2. Mobile suitability Demonstration.mp4

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This dataset encapsulates a comprehensive collection of eye movement recordings captured during sleep, exceeding 100 distinct episodes. The recordings are primarily categorized into Rapid Eye Movement (REM), Slow Eye Movement (SEM), and non-movement phases, providing a rich resource for sleep research. Each video is meticulously recorded in high-definition .mp4 format, ensuring clarity and precision in capturing subtle ocular dynamics.

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Automated and autonomous industrial inspection is a longstanding research field, driven by the necessity to enhance safety and efficiency within industrial settings. In addressing this need, we introduce an autonomously navigating robotic system designed for comprehensive plant inspection. This innovative system comprises a robotic platform equipped with a diverse array of sensors integrated to facilitate the detection of various process and infrastructure parameters.

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