Standards Research Data
The Numerical Latin Letters (DNLL) dataset consists of Latin numeric letters organized into 26 distinct letter classes, corresponding to the Latin alphabet. Each class within this dataset encompasses multiple letter forms, resulting in a diverse and extensive collection. These letters vary in color, size, writing style, thickness, background, orientation, luminosity, and other attributes, making the dataset highly comprehensive and rich.
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492 Views
Gamification is a rapidly evolving field that seeks to integrate game mechanics and elements into non-game contexts to enhance the learning experience of computer science students.
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633 Views
Driving excitement may lead to speeding and serious traffic accidents. Although olfactory stimulation has been proven to be effective in regulating human emotions, the mechanism driving excitement is still unclear. This study aims to explore the regulatory effects of different arousal and valence levels of odors (mint, rose, banana, and musk) on driving excitement, deepening our understanding of the relationship between drivers emotions and driving experience.
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203 Views
Please cite the following paper when using this dataset:
N. Thakur, K. A. Patel, I. Hall, Y. N. Duggal, and S. Cui, “A Dataset of Search Interests related to Disease X originating from different Geographic Regions”, Preprints 2023, 2023081701, DOI: https://doi.org/10.20944/preprints202308.1701.v1
Abstract:
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698 Views
The "Analyzed Open-Source Projects Dataset" is a collection of project names and associated metadata from a diverse range of open-source software projects. This dataset aims to facilitate research and analysis in the domain of software engineering, particularly in the context of project management, library dependencies, and software composition. The dataset includes project names, package manager details and repository URLs. The projects from this dataset were used in our approach for assessing the real impact of open-source components in software systems.
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18 Views
This data port serves as a valuable extension to the article titled "Algorithmic Framework for Analyzing and Simulating Multi-axial Robotic Transformations in Spatial Coordinates." It provides Python script implementations of the simulation algorithm detailed in the paper. These scripts are designed to allow seamless adoption and experimentation with the proposed algorithm, enhancing its usability for researchers and practitioners alike.
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118 Views
The storage capacity of 3D-NAND flash memory has been enhanced by the multi-layer dielectrics. The deposition process has become more challenging due to the tight process margin and the demand for accurate process control. To reduce product costs and ensure successful processes, process diagnosis techniques incorporating artificial intelligence (AI) have been adopted in semiconductor manufacturing. Recently there is a growing interest in process diagnosis, and numerous studies have been conducted in this field.
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315 Views
The demand for poultry products will keep rising as the world's population rises. One of the most significant and rapidly expanding economic sectors of India's agriculture sector is poultry. To meet this demand, increasing housing and managing more chicken birds is one potential technique to boost productivity. It will become more challenging for producers to keep track of the health, production, and welfare conditions of all of their birds as a result of this technique, labour shortages, and escalating biosecurity measures.
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1487 Views
Tuberculosis (TB) remains a major global health problem with high incidence and mortality rates worldwide. In recent years, with the rapid development of computer-aided diagnosis (CAD) tools, CAD has played an increasingly important role in supporting tuberculosis diagnosis. However, the development of CAD for TB diagnosis relies heavily on well-annotated computerized tomography (CT) datasets. Unfortunately, the currently available annotations in TB CT datasets are still limited, which hinders the development of CAD tools for TB diagnosis to some extent.
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43 Views
Tuberculosis (TB) remains a major global health problem with high incidence and mortality rates worldwide. In recent years, with the rapid development of computer-aided diagnosis (CAD) tools, CAD has played an increasingly important role in supporting tuberculosis diagnosis. However, the development of CAD for TB diagnosis relies heavily on well-annotated computerized tomography (CT) datasets. Unfortunately, the currently available annotations in TB CT datasets are still limited, which hinders the development of CAD tools for TB diagnosis to some extent.
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9 Views