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The dataset tracks the performance of 4 major global stock market indexes over a 5 year period from August 2018 to August 2023. It includes the S&P 500 (USA), Nasdaq 100 (USA), Shanghai Composite (China), and Taiwan Weighted Index (Taiwan). The indexes represent key benchmarks for the US, Chinese, and Taiwanese equity markets. Analysis of the dataset can provide insights into relative performance, correlations, and volatility across these major markets.
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568 Views
The enhanced dataset is a sophisticated collection of simulated data points, meticulously designed to emulate real-world data as collected from wearable Internet of Things (IoT) devices. This dataset is tailored for applications in safety monitoring, particularly for women, and is ideal for developing machine learning models for distress or danger detection.
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1744 Views
The data is for time series optimal power flow analysis. It contains basic data (buses, gens, lines, loads...) to build the system, and also time series data of a peak load day and a off-peak day.
The folder "basic_case" contains data for building the system.
The folder "time series data" contains data for running time series optimal power flow.
The case is developed using the Python package "panda power".
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122 Views
The dataset, developed at the National Institute of Neurology and Neurosurgery in Mexico, encapsulates crucial gait biomarkers associated with neurodegenerative diseases. This invaluable compilation serves as a comprehensive resource for understanding and analyzing the distinctive gait patterns exhibited by patients grappling with neurological disorders. By delving into these intricate biomarkers, researchers gain insights into the nuanced manifestations of conditions impacting the nervous system.
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195 Views
We obtained this dataset as part of a project to generate a realistic speed profile on a trip specified by GPS coordinates. Specifically, we focused on generating the speed profile for a passenger car traveling on an unfamiliar route, i.e., a route the machine-learning model has yet to see.
The dataset contains 5973 rides of five different passenger cars, with a total length of 9049.3 km. The data was collected during 2021 in the Czech Republic and includes municipal and non-municipal trips.
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3166 Views
NAND Flash-based Synthetic Block IO traces from FIO benchmark is focused on understanding characteristics of flash memoy under various access patterns. The dataset comprises distinct seven wrorkloads.
Workoad 1 and 2 are sequential write workloads. Workload 1 represents the typical seuqential write pattern, while Workload 2 represents partioning sequential write pattern, dividing 8 logical partitions.
Workload 3 and 4 are random write workloads. Workload 3 follows a uniform random distribution, and Worklod 4 follows the Zipfian random distribution with a theta of 0.8.
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29 Views
Please cite the following paper when using this dataset:
N. Thakur, S. Cui, K. A. Patel, N. Azizi, V. Knieling, C. Han, A. Poon, and R. Shah, “Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior,” Journal of Computation, Vol. 11, Issue. 11, Article. 234, Nov. 2023, DOI: http://dx.doi.org/10.3390/computation11110234
Abstract
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The Integrated Energy Management and Forecasting Dataset is a comprehensive data collection specifically designed for advanced algorithmic modeling in energy management. It combines two distinct yet complementary datasets - the Energy Forecasting Data and the Energy Grid Status Data - each tailored for different but related purposes in the energy sector.
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3318 Views
<p>Artificial intelligence has gained significant attention in education, and the chatbot is one of the</p><p>latest additions to its list. Students need to adopt the ability with the rapid evolution of online</p><p>platforms to thrive in this dynamic environment.
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246 Views
The poor posture is one of the main common health problems in the growth of adolescents, which seriously affects their physical and mental health. The posture gait recognition is a premise for preventing and correcting the poor posture. This paper proposes a gait recognition method for poor posture based on PCA-BP neural network. Using wearable intelligent insoles to measure plantar pressure, a gait recognition model based on PCA-BP neural network model is constructed.
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485 Views