*.csv
The dataset contains information on the demand for milk in liters for a milk society over a certain period of time. The data is organized based on the week number and year number, providing a time-series view of the milk demand. The purpose of the dataset may be to analyze trends in milk demand over time, identify seasonal patterns, or inform production and distribution decisions for the milk society. Further analysis and exploration of the dataset can provide valuable insights into the milk industry and consumer behavior related to milk consumption
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Please cite the following paper when using this dataset:
N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19” [Unpublished Paper - Paper submitted to HCI International 2023, Copenhagen, Denmark, 23-28 July 2023]
Brief Description of Dataset file - Interest_Dataset.csv:
Attribute Name: Week
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Please cite the following paper when using this dataset:
N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19” [Unpublished Paper - Paper submitted to HCI International 2023, Copenhagen, Denmark, 23-28 July 2023]
Brief Description of Dataset file - Interest_Dataset.csv:
Attribute Name: Week
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Please cite the following paper when using this dataset:
N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19”, Proceedings of the 25th International Conference on Human-Computer Interaction (HCII 2023), Copenhagen, Denmark, July 23-28, 2023 (Accepted for Publication)
Brief Description of Dataset file - Interest_Dataset.csv:
Attribute Name: Week
- Categories:
Please cite the following paper when using this dataset:
N. Thakur, K. Khanna, S. Cui, N. Azizi, and Z. Liu, “Mining and Analysis of Search Interests related to Online Learning Platforms from Different Countries since the Beginning of COVID-19” [Unpublished Paper - Paper submitted to HCI International 2023, Copenhagen, Denmark, 23-28 July 2023]
Brief Description of Dataset file - Interest_Dataset.csv:
Attribute Name: Week
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The growth of the use of the Linux operating system in embedded systems projects brings to the spotlight essential questions about the capabilities of this operating system in real-time systems, in particular, soft real-time systems. In this context, the quantitative analysis of Linux-based embedded systems is the focus of this paper, which includes the evaluation of the latency time, jitter, and worst-case response time.
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Whole-program analysis is an essential technique that enables advanced compiler
optimizations. An important example of such a method is points-to analysis used
by ahead-of-time (AOT) compilers to discover program elements (classes, methods,
fields) that may be used on at least one program path during the run of the
program and hence need to be compiled. GraalVM Native Image uses a points-to
analysis to optimize Java applications, which is a time-consuming step of the
build. We explore how much the analysis time can be improved by replacing the
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This data provides price and tweet data for Bitcoin from February 21, 2021 to May 10, 2022.
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Dataset for the paper ''Model Based Deep Learning for Low-Cost IMU Dead-Reckoning of Wheeled Mobile Robot''. Include KITTI result and self-built experimental platform result.
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The development of high throughput sequencing technologies i.e. Next Generation Sequencing (NGS) is revolutionizing the exploration of cancer. Though sequence datasets are highly complex, mutation can occur randomly in DNA or RNA sequences that can make cells sicker or less fit. The unusual growth and behavior of genes in cells cause cancer. Cancer-driver gene cells grow when mutation occurs. Identification of cancer driver genes is a critical and challenging issue for researchers.
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