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The Raspberry Pi 4 is the 4th generation of the mainline series of Raspberry Pi single-board computers.Developed by Raspberry Pi (Trading) Ltd [1] and released on 24 June 2019, the Pi 4 came with many improvements over its predecessor; the SoC was upgraded to the Broadcom BCM2711, two of the Raspberry Pi's four USB ports were upgraded to USB 3.0, and options were added for RAM capacities ...
This is a 21 class land use image dataset meant for research purposes. There are 100 images for each class. 2,100 Image chips of 256x256, 30 cm (1 foot) GSD Land cover classification 2010 [171] Yi Yang and Shawn Newsam SAT-4 Airborne Dataset Images were extracted from the National Agriculture Imagery Program (NAIP) dataset.
The Raspberry Pi 3 Model B uses a Broadcom BCM2837 SoC with a 1.2 GHz 64-bit quad-core ARM Cortex-A53 processor, with 512 KB shared L2 cache. The Model A+ and B+ are 1.4 GHz [70] [71] [72] The Raspberry Pi 4 uses a Broadcom BCM2711 SoC with a 1.5 GHz (later models: 1.8 GHz) 64-bit quad-core ARM Cortex-A72 processor, with 1 MB shared L2 cache.
Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.
Data about cybersecurity strategies from more than 75 countries. Tokenization, meaningless-frequent words removal. [366] Yanlin Chen, Yunjian Wei, Yifan Yu, Wen Xue, Xianya Qin APT Reports collection Sample of APT reports, malware, technology, and intelligence collection Raw and tokenize data available. All data is available in this GitHub ...
Raspberry Pi OS is a Unix-like operating system based on the Debian Linux distribution for the Raspberry Pi family of compact single-board computers. Raspbian was developed independently in 2012, became the primary operating system for these boards since 2013, was originally optimized for the Raspberry Pi 1 and distributed by the Raspberry Pi Foundation. [3]
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition, classification, and regression tasks.
A common data model (CDM) can refer to any standardised data model which allows for data and information exchange between different applications and data sources.Common data models aim to standardise logical infrastructure so that related applications can "operate on and share the same data", [1] and can be seen as a way to "organize data from many sources that are in different formats into a ...