Artificial Intelligence
Following the setup of previous works [8, 16], we conducted experiments on various bit image restoration tasks.
We utilized a dataset of 2000 16-bit images, with training
data sourced from SINTEL [37] and FIVE-K [38]. SINTEL
is an animated short film dataset containing over 20,000 16-
bit lossless images with a resolution of 436 × 1024 pixels. In
FIVE-K, randomly select images from 5,000 16-bit natural
images for the experiment.The test set includes 8 images
randomly chosen from the SINTEL dataset (referred to as
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The COVID-19 Vaccine Misinformation Aspects Dataset contains 3,822 English tweets discussing COVID-19 vaccine misinformation, collected from Twitter/X between December 31, 2020, and July 8, 2021.
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The medical biometric dataset comprises 10,000 records collected across 23 patients spanning different demographics, biometric profiles, and temporal variations between 2022 and 2023. It is accumulated from various hospitals, digital health records, and biometric-enabled healthcare security systems.
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Binary classification is the most suitable task considering the common use cases in MCUs. Numerous datasets for image classification have been proposed. The Visual Wake Words (VWW) dataset, which is derived from the COCO dataset, distinguishes between ‘w/ person’ and ‘w/o person’ and is designed for object detection on MCUs. Therefore, datasets for binary classification and object detection exist. However, the dataset for binary classification has not been proposed for the semantic segmentation task.
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This dataset is designed for research on 2D Multi-frequency Electrical Impedance Tomography (mfEIT). It includes:
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With the gradual maturity of UAV technology, it can provide extremely powerful support for smart agriculture and precise monitoring. Currently, there is no dataset related to green walnuts in the field of agricultural computer vision. Therefore, in order to promote the algorithm design in the field of agricultural computer vision, we used UAV to collect remote sensing data from 8 walnut sample plots.
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These two datasets are significantly different from each other in terms of the image color, cell shape, background, etc., which can better evaluate the robustness of WBC segmentation approach. The ground truth segmentation results are manually sketched by domain experts, where the nuclei, cytoplasms and background including red blood cells are marked in white, gray and black respectively. We also submitted the segmentation results by our approach, where the whole WBC region are marked in white and the others are marked in black.
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We consider the automation of polishing process for manufactured components, which is typically an iterative, multi-stage process that depends heavily on the practitioner’s expertise and visual inspection to guide decisions on polishing pad changes and fine-tuning of control parameters. We use a model-free, on-policy actor-critic reinforcement learning (RL) algorithm to determine the choice of pad, downforce, rotational speed, polishing duration for each stage, and the total number of polishing / inspection stages.
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We consider the automation of polishing process for manufactured components, which is typically an iterative, multi-stage process that depends heavily on the practitioner’s expertise and visual inspection to guide decisions on polishing pad changes and fine-tuning of control parameters. We use a model-free, on-policy actor-critic reinforcement learning (RL) algorithm to determine the choice of pad, downforce, rotational speed, polishing duration for each stage, and the total number of polishing / inspection stages.
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Data was acquired using data aquisiton interface in a laboratory on a flow control unit. The data has been transformed into two excel spreadsheets which was later used in Matlab. This dataset also consists of three Matlab codes. First one is the code for the experiment in which the ANN models were developed. Second Matlab code is the code for data importing from the excel spreadsheets and the third Matlab code is the data preparation code for the Simulink purposes in order to test the models.
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