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the dataset is related to an app-based framework for multivariate next-day price prediction using
GRU attention networks with rolling averages.
19 Views
These are the codes and models used in our experiments regarding our submitted article “Cheby-KANs:
Advanced Kolmogorov-Arnold Networks for Applying Geometric Deep Learning in Quantum Chemistry
Applications”. The code is developed using python programming language. In our paper we hae
developed the B-spline based KANs with a more powerful and much faster polynomials “shifted-
Chebyshev polynomials” of the first kind. Also, we integrated our new architecture with geometric deep
19 Views
This dataset comprises a comprehensive collection of PubMed abstracts and associated metadata focusing on the topic of multiple sclerosis (MS) in relation to social determinants and environmental factors, spanning publications from January 1, 2018, to December 31, 2023. The data was meticulously gathered using the PubMed E-Utilities API with the search query "multiple sclerosis" AND ("social determinants" OR "environmental factors"). Articles classified as preprints were excluded to ensure the inclusion of peer-reviewed research only.
40 Views
The Universal Networking Language (UNL) UDE Dictionary for Indian Cooking is a pioneering framework aimed at facilitating seamless communication and knowledge sharing across diverse languages and cultures, with a special focus on the rich culinary traditions of India. This dictionary provides a comprehensive and structured representation of essential culinary terms, ingredients, cooking techniques, and descriptors in Hindi, paired with their corresponding UNL equivalents. Each entry includes a UNL term, a definition and examples.
39 Views
The Universal Networking Language (UNL) UDE Dictionary for French Cooking is a pioneering framework aimed at facilitating seamless communication and knowledge sharing across diverse languages and cultures, with a special focus on the rich culinary traditions of France. This dictionary provides a comprehensive and structured representation of essential culinary terms, ingredients, cooking techniques, and descriptors in French, paired with their corresponding UNL equivalents. Each entry includes a UNL term, a definition and examples.
24 Views
The Universal Networking Language (UNL) is a pioneering framework designed to facilitate seamless communication and knowledge sharing across different languages and cultures. This UNL French Dictionary focuses specifically on the rich and diverse world of French cuisine, offering a structured representation of culinary terms, ingredients, cooking techniques, and descriptors in French alongside their universal equivalents.
The UNL French Dictionary serves several key purposes:
28 Views
The Universal Networking Language (UNL) serves as a conceptual framework aimed at facilitating communication across different languages and cultures. In the context of culinary arts, the UNL dictionary provides a structured approach to represent Indian culinary terms, ingredients, cooking methods, and descriptors in a universally understandable manner.
30 Views
During our research in generating or optimizing molecules to be drug candidates by extending deep reinforcement learning and graph neural networks algorithms, we used GEOM data [1], and we had an idea to make a dataset obtained from molecules from GEOM to predit the activity towards COVID and the drug linkeness. We calculated over 200 descriptors for the molecules using RDKit [2]. We hope you enjoy using it.
References:
371 Views
The dataset aims to facilitate research in the optimization of the carbon footprint of recipes. Consisting of 30 Excel files processed through various Python scripts and Jupyter notebooks, the dataset serves as a versatile resource for both performance analysis and environmental impact assessment. The unique attribute of this dataset lies in its ability to calculate representative values of carbon footprint optimization through multiple algorithmic implementations.
230 Views
This Named Entities dataset is implemented by employing the widely used Large Language Model (LLM), BERT, on the CORD-19 biomedical literature corpus. By fine-tuning the pre-trained BERT on the CORD-NER dataset, the model gains the ability to comprehend the context and semantics of biomedical named entities. The refined model is then utilized on the CORD-19 to extract more contextually relevant and updated named entities. However, fine-tuning large datasets with LLMs poses a challenge. To counter this, two distinct sampling methodologies are utilized.
323 Views
In recent years, teaching-learning methods have emerged into a completely new dimension from what used to be a traditional approach. The in-person lectures have been converted into online virtual learning, the traditional record-keeping has been replaced by robust learning management systems which have made the teaching-learning process lot more efficient and convenient.
228 Views
the focus of this dataset is to provid an open-loop solution for a stochastic problem with imperfect state information and
chance-constraints adjusted by an optimal gain.
88 Views
dataset for An open-loop solution for a stochastic problem with imperfect state information and chance-constraints adjusted by an optimal gain.
36 Views
The 5K EPP Dataset includes 5007 photos of water crystaks classified in 13 categories. This dataset was created under the leaderhip of Prof. Masaru Emoto.
310 Views