(2021) provided a set of questions designed to elicit the information and a workflow for dataset creators to use when answering these questions. Note that privacy risks in these explanation should be considered. There is a risk of privacy leakage in the explanation of data creation, for example...
Data Used for this work is available at https://www.kaggle.com/datasets/pardhut/pardhu-har-data, (accessed on 29 September 2024). Conflicts of Interest The authors declare no conflict of interest. References Bulling, A.; Blanke, U.; Schiele, B. A tutorial on human activity recognition us...
Begin and end labels of activity can identify sensor-based activity in the dataset with fixed window size, but it is not possible to foresee the start time of activity. Espinilla et al. [33] proposed online activity recognition to recognize daily living activities such as showering, toilet, ...
The MotionSense dataset is publicly availablein the current repositoryand alsoin the Queen Mary University of London's repositoryas a backup. There is also a Kaggle version:https://www.kaggle.com/malekzadeh/motionsense-dataset Citation If you find this dataset useful to your research, please cite...
Kaggleis a private company that hosts data analysis competitions. These competitions typically include a dataset, and they also maintain a repository ofavailable datasets. TheIEEE Data Portis a general purpose repository managed by IEEE (the institute of electrical and electronics engineers). Some datas...
The paper presents an ensemble model for gait recognition, combining knowledge of multiple Convoluted Neural Network (CNN) models namely VGG16, ResNet50 and DenseNet121. The individual models were fine-tuned on the Casia-B dataset and an ensemble model was created to exploit the individual ...
Also, it is obvious that using AutoML still cannot replace human tasks of gathering, mixing, cleaning, and preparing a good-quality input dataset; this concern is also mentioned in the 2021 survey of Zoller and Huber [33]. In addition, because of the nature of supervised learning, it still...
Data scienceis a data centric discipline, in which amathematical model of a datasetis created to discover insights or make a prediction. Click to share on Facebook (Opens in new window) Click to share on Twitter (Opens in new window) ...
Computational reproducibility (when the results in a paper can be replicated using the exact code and dataset provided by the authors) is becoming a significant problem not only for academic but for practitionars who want to implement AI in their organizations and aim to resuse ideas from academia...
TensorFlow-based deep learning model to classify human emotions from facial expressions using the AffectNet dataset. Includes preprocessing, training, evaluation, and prediction tools. Perfect for exploring emotion recognition and transfer learning. - am