Výsledky vyhledávání - Raspberry Pi (Computer)-Programming

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    Broad‐scale applications of the Raspberry Pi: A review and guide for biologists Autor Jolles, Jolle W.

    ISSN: 2041-210X, 2041-210X
    Vydáno: London John Wiley & Sons, Inc 01.09.2021
    Vydáno v Methods in ecology and evolution (01.09.2021)
    “… In this paper I focus on the most widely used single‐board computer, the Raspberry Pi, and review its broad applications and uses across the biological domain…”
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    Raspberry Pi Reflector (RPR): A Low‐Cost Water‐Level Monitoring System Based on GNSS Interferometric Reflectometry Autor Karegar, Makan A., Kusche, Jürgen, Geremia‐Nievinski, Felipe, Larson, Kristine M.

    ISSN: 0043-1397, 1944-7973
    Vydáno: Washington John Wiley & Sons, Inc 01.12.2022
    Vydáno v Water resources research (01.12.2022)
    “… We present a prototype called Raspberry Pi Reflector (RPR) that includes a low‐cost and low‐maintenance single‐frequency GPS module and a navigation antenna connected to an inexpensive Raspberry Pi microcomputer…”
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    A comprehensive review on applications of Raspberry Pi Autor Mathe, Sudha Ellison, Kondaveeti, Hari Kishan, Vappangi, Suseela, Vanambathina, Sunny Dayal, Kumaravelu, Nandeesh Kumar

    ISSN: 1574-0137
    Vydáno: Elsevier Inc 01.05.2024
    Vydáno v Computer science review (01.05.2024)
    “…Raspberry Pi is an invaluable and popular prototyping tool in scientific research for experimenting with a wide variety of ideas, ranging from simple to complex projects…”
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    Disease detection in tomato leaves via CNN with lightweight architectures implemented in Raspberry Pi 4 Autor Gonzalez-Huitron, Victor, León-Borges, José A., Rodriguez-Mata, A.E., Amabilis-Sosa, Leonel Ernesto, Ramírez-Pereda, Blenda, Rodriguez, Hector

    ISSN: 0168-1699, 1872-7107
    Vydáno: Amsterdam Elsevier B.V 01.02.2021
    “…•Raspberry Pi 4 implementation for real-field operations.•GUI designed for easy usage. Deep learning has made essential contributions to classification and detection tasks applied to precision agriculture…”
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    Raspberry Pi assisted face recognition framework for enhanced law-enforcement services in smart cities Autor Sajjad, Muhammad, Nasir, Mansoor, Muhammad, Khan, Khan, Siraj, Jan, Zahoor, Sangaiah, Arun Kumar, Elhoseny, Mohamed, Baik, Sung Wook

    ISSN: 0167-739X
    Vydáno: Elsevier B.V 01.07.2020
    Vydáno v Future generation computer systems (01.07.2020)
    “… With the availability of the nano devices such as Raspberry Pi, law enforcement agencies such as police can be equipped with a concealed…”
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    A Raspberry Pi based blockchain application on IoT security Autor Upahm Abas, Sherhan, Duran, Fecir, Tekerek, Adem

    ISSN: 0957-4174, 1873-6793
    Vydáno: Elsevier Ltd 01.11.2023
    Vydáno v Expert systems with applications (01.11.2023)
    “…•IoT devices lack security, enabling malicious attacks on a vast number of devices.•RPi powers a secure, cost-effective platform for IoT security using…”
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    An IoT Raspberry Pi-based parking management system for smart campus Autor Jabbar, Waheb A., Wei, Chong Wen, Azmi, Nur Atiqah Ainaa M., Haironnazli, Nur Aiman

    ISSN: 2542-6605, 2542-6605
    Vydáno: Elsevier B.V 01.06.2021
    “…•Design an IOT-based parking management system using Raspberry Pi 4 B+ (RPi) to detect the occupancy of the outdoor parking space and update the information to an IoT platform for the smart campus use case…”
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    Hands-on parallel & distributed computing with Raspberry Pi devices and clusters Autor Shoop, Elizabeth, Matthews, Suzanne J., Brown, Richard, Adams, Joel C.

    ISSN: 0743-7315
    Vydáno: Elsevier Inc 01.02.2025
    “… This paper addresses both of these challenges by presenting free, interactive, web-based PDC teaching modules using inexpensive Raspberry Pi single board computers (SBCs…”
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    Raspberry Pi–powered imaging for plant phenotyping Autor Tovar, Jose C., Hoyer, J. Steen, Lin, Andy, Tielking, Allison, Callen, Steven T., Elizabeth Castillo, S., Miller, Michael, Tessman, Monica, Fahlgren, Noah, Carrington, James C., Nusinow, Dmitri A., Gehan, Malia A.

    ISSN: 2168-0450, 2168-0450
    Vydáno: United States John Wiley & Sons, Inc 01.03.2018
    Vydáno v Applications in plant sciences (01.03.2018)
    “… Methods and Results We used low‐cost Raspberry Pi computers and cameras to manage and capture plant image data…”
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    Face recognition using deep learning on Raspberry Pi Autor Ahmed Ali Aboluhom, Abdulatif, Kandilli, Ismet

    ISSN: 0010-4620, 1460-2067
    Vydáno: Oxford University Press 12.10.2024
    Vydáno v Computer journal (12.10.2024)
    “…Facial recognition on resource-limited devices such as the Raspberry Pi poses a challenge due to inherent processing limitations…”
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    Wireless Sensor Network System Design Using Raspberry Pi and Arduino for Environmental Monitoring Applications Autor Ferdoush, Sheikh, Li, Xinrong

    ISSN: 1877-0509, 1877-0509
    Vydáno: Elsevier B.V 2014
    Vydáno v Procedia computer science (2014)
    “… In this paper, we describe a wireless sensor network system that we have developed using open-source hardware platforms, Arduino and Raspberry Pi…”
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    Efficientnet-Lite and Hybrid CNN-KNN Implementation for Facial Expression Recognition on Raspberry Pi Autor Ab Wahab, Mohd Nadhir, Nazir, Amril, Zhen Ren, Anthony Tan, Mohd Noor, Mohd Halim, Akbar, Muhammad Firdaus, Mohamed, Ahmad Sufril Azlan

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2021
    Vydáno v IEEE access (2021)
    “… This paper presents a hybrid CNN-KNN model for FER on the Raspberry Pi 4, where we use CNN for feature extraction…”
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    Efficient convolutional neural networks on Raspberry Pi for image classification Autor Ju, Rui-Yang, Lin, Ting-Yu, Jian, Jia-Hao, Chiang, Jen-Shiun

    ISSN: 1861-8200, 1861-8219
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2023
    Vydáno v Journal of real-time image processing (01.04.2023)
    “… This paper proposes a lightweight convolutional neural network TripleNet, which can operate easily on Raspberry Pi…”
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    A low-cost touchscreen operant chamber using a Raspberry Pi Autor O’Leary, James D., O’Leary, Olivia F., Cryan, John F., Nolan, Yvonne M.

    ISSN: 1554-3528, 1554-3528
    Vydáno: New York Springer US 01.12.2018
    Vydáno v Behavior research methods (01.12.2018)
    “…The development of a touchscreen platform for rodent testing has allowed new methods for cognitive testing that have been back-translated from clinical…”
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    Raspberry Pi assisted facial expression recognition framework for smart security in law-enforcement services Autor Sajjad, Muhammad, Nasir, Mansoor, Ullah, Fath U Min, Muhammad, Khan, Sangaiah, Arun Kumar, Baik, Sung Wook

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.04.2019
    Vydáno v Information sciences (01.04.2019)
    “… The Raspberry Pi camera captures the video stream and detects faces using the Viola Jones…”
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    COVID-19 diagnosis from CT scans and chest X-ray images using low-cost Raspberry Pi Autor Hosny, Khalid M., Darwish, Mohamed M., Li, Kenli, Salah, Ahmad

    ISSN: 1932-6203, 1932-6203
    Vydáno: United States Public Library of Science 11.05.2021
    Vydáno v PloS one (11.05.2021)
    “… In this paper, we propose a diagnosis system using a Raspberry Pi Linux embedded…”
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    A survey on human detection surveillance systems for Raspberry Pi Autor Farouk Khalifa, Ali, Badr, Eman, Elmahdy, Hesham N.

    ISSN: 0262-8856, 1872-8138
    Vydáno: Elsevier B.V 01.05.2019
    Vydáno v Image and vision computing (01.05.2019)
    “… This paper surveys different systems and techniques that have been deployed on embedded devices such as Raspberry Pi…”
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    DATIV—Remote Enhancement of Smart Aerosol Measurement System Using Raspberry Pi-Based Distributed Sensors Autor Hasanuzzaman, Gazi, Buchwald, Tom, Schunk, Christoph, Egbers, Christoph, Schröder, Andreas, Hampel, Uwe

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 02.07.2024
    Vydáno v Sensors (Basel, Switzerland) (02.07.2024)
    “…) simultaneously and can be remotely controlled using a Raspberry Pi-based operating system. The data acquisition system can be easily operated using the GUI within any common…”
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