*.avi; *.csv; *.txt; *.zip

This is a data for cosmetics dataset. The International Patent Classification (IPC) is a standardized, hierarchical system used worldwide to categorize the technical content of patents. It is administered by the World Intellectual Property Organization (WIPO). The IPC system breaks down technology into sections, classes, subclasses, and groups, each representing specific technical domains. By assigning IPC codes to patent documents, patent offices and researchers can systematically organize, search, and analyze patent information across various industries and technological fields.
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The growing adoption of declarative software specification languages, coupled with their inherent difficulty in debugging, has underscored the need for effective and automated repair techniques applicable to such languages. Researchers have recently explored various methods to automatically repair declarative software specifications, such as template-based repair, feedback-driven iterative repair, and bounded exhaustive approaches. The latest developments in Large Language Models (LLMs) provide new opportunities for the automatic repair of declarative specifications.
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It is essential to assess functional arm use or goal-directed movement of the upper limb in neurorehabilitation. Wearable sensors help in the continuous, uninterrupted, and objective measurement of arm movements in natural settings. This dataset contains wearable inertial measurement unit data from 15 participants (10 healthy and 5 hemiparetic individuals) while they perform 15 different activities of daily living wearing two wrist bands. Tasks included fine finger manipulation tasks like writing, using a mobile phone’s touchscreen, walking for patients in wheelchairs, etc.
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In recent years, the fusion of artificial intelligence and semantic web technologies has paved the way for innovative approaches to managing and utilizing information. With the growing demand for structured gastronomical data, there is a need for well-defined ontologies that facilitate recipe organization, ingredient classification, nutritional insights, and personalized diet recommendations. The dataset presents a multilingual recipe ontology and knowledge graph, capturing critical relationships between ingredients, nutrition, cooking actions, and recipe planning.
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Modern power systems face growing risks from cyber-physical attacks, necessitating enhanced resilience due to their societal function as critical infrastructures. The challenge is that defense of large-scale systems-of-systems requires scalability in their threat and risk assessment environment for cyber-physical analysis including cyber-informed transmission planning, decision-making, and intrusion response. Hence, we present a scalable discrete event simulation tool for analysis of energy systems, called DESTinE.
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Abstract—This manuscript introduces the Chaos Fusion Mutation INFO algorithm (CFMINFO), which integrates multiple strategies and updates vector positions through three core processes. These processes incorporate Good Point Set initialization, Sine-Tent-Cosine (STC) chaotic parameterization, and Normal Cloud Mutation strategies. The algorithm is characterized by its simplicity, rapid convergence, and ability to avoid local optima. To validate its performance, CFMINFO is applied to the optimization of linear arrays.
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Binary classification is the most suitable task considering the common use cases in MCUs. Numerous datasets for image classification have been proposed. The Visual Wake Words (VWW) dataset, which is derived from the COCO dataset, distinguishes between ‘w/ person’ and ‘w/o person’ and is designed for object detection on MCUs. Therefore, datasets for binary classification and object detection exist. However, the dataset for binary classification has not been proposed for the semantic segmentation task.
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Dataset with syntentic TLSA DNS records for DNSSEC evaluation. Created with several RSA2048, RSA3072, RSA4096, ECDSAP256, ECDSAP384, or ECDSAP512 keys. Note: ECDSAP256 conforms to prime256v1, ECDSAP348 conforms to secp384r1 and ECDSAP512 conforms to secp521r1
Keys and certificates are repeated using a factor of 500. Keys and certificates are available in https://gitlab.gast.it.uc3m.es/dnsseccollisions/tlsadataset
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The experiments were conducted at RAICo Lab in West Cumbria. The data were real-time data collected during experiments to validate the CAP system. The underwater robot moves autonomously along three different paths, while the surface robot follows the underwater robot's movement simultaneously. The uploaded file consists of nine data sets. Three experiments were conducted for each trajectory, resulting in a total of nine datasets. The nine subsets are: Lawnmower1-3, Random1-3, and Square1-3.
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