Machine Learning
Description
Prognostics and health management is an important topic in industry for predicting state of assets to avoid downtime and failures. This data set is the Kaggle version of the very well known public data set for asset degradation modeling from NASA. It includes Run-to-Failure simulated data from turbo fan jet engines.
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1860 Views
The India Weather Forecast built a state-level standard rainfall forecast system using a multi-model ensemble approach with model outputs from five prominent worldwide NWP centers. Pre-assigned grid point weights based on anomalous correlations (CC) between values observed and predicted are established for each element model using two seasonal datasets, and multi provision of appropriate predictions are created in real-time similar resolution. Then, forecasts are created for each state node lying within a given district by averaging the ensemble prediction fields' values.
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3794 Views
Human activity recognition, which involves recognizing human activities from sensor data, has drawn a lot of interest from researchers and practitioners as a result of the advent of smart homes, smart cities, and smart systems. Existing studies on activity recognition mostly concentrate on coarse-grained activities like walking and jumping, while fine-grained activities like eating and drinking are understudied because it is more difficult to recognize fine-grained activities than coarse-grained ones.
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617 Views
The data is collected in the form of csv file containing three attributes of X, Y, Z which represents the three coordinates of the graph x, y and z. The csv file is collected from the three signals generated by using a mobile app G sensor logger available publicly from google playstore. The data is generated for the first five Telugu language characters. The data is stored in the form of five folders where each folder represents the respective Telugu character. This dataset can be used for evaluating machine learning algorithms.
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110 Views
This dataset contains approx. 5000 labeled images of marker on Smith Chart of Keysight VNA 9914a. Since smith chart contains "infinity" (although compensated in the device mathematically), the data from Smith Chart window pane is not apt for tuning the all-pole MW filters.
This dataset can be used to track the marker position while tuning the circuitary when considering Image Processing based Filter Tuning. Images are taken from various angles to ensure the robust behaviour and high detection accuracy.
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202 Views
User's Behvoiur Scores with cyber attack victim as label
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315 Views
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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147 Views
A dataset comprising 500 data points was gathered by collecting answers to 250 computer science problems assigned in classes and quizzes from students. To generate this dataset, a response was selected from a random student for each question. The same questions were then asked to ChatGPT 3.0, and the answers were recorded. Based on the source of the response (either student or GPT), the dataset was labeled accordingly. The resulting labeled dataset includes the list of assignment and quiz questions, along with the corresponding answers from students and ChatGPT.
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2581 Views
Accurate recognition of targets in the orchard environment is the key to vision perception for picking robots. Factors such as small, densely growing plum fruit targets and high occlusion lead to unsatisfactory recognition of plum fruit by vision algorithms. Therefore, this paper proposes an improved YOLOv5s model to detect highly occluded and dense plums in orchards. First, the backbone network of YOLOv5s is improved in this paper.
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30 Views