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In research  5.1
              It  is  necessary  to  point  out  that  there  are  other  alternative  sin-
            gle-board computers available on the market (Odroid, BeagleBoard,
            Banana Pi, Jetson Nano, etc.), but they have limited support and offer
            poor documentation and tutorials (for more information see  www.
            raspberrypi.org). It is also true that for some applications, alternatives
            with higher computing power can nevertheless be a preferred solution
            to Raspberry Pi.

            5.1  In research  5.1
            Balon and Simić (2019) discuss the use of Raspberry Pi in higher ed-
            ucation and find the credit card-size computer suitable for improving
            students’ skills in both computer science and for improving their basic
            knowledge of electronics. They consider Raspberry Pi an ideal platform
            for acquiring these competencies.
              Emani et al. (2019) described the use of Raspberry Pi in the cyber-
            security bachelor’s degree at Pennsylvania State University, where
            students created a smart home model to perform reconnaissance and
            penetration testing using Raspberry Pi computers.
              Gooch et al. (2022) described the challenges of teaching parallel and
            distributed computing using Raspberry Pi clusters to open distance
            university students. Based on the survey results from almost 500 stu-
            dents, they argued that there are many benefits that remote practical
            activities had on teaching.
              In a conference paper by Ponugumati et al. (2023) the authors de-
            scribed  how Raspberry  Pi  can  be  used in  a  smart  environment by
            proposing a design using Raspberry Pi as an edge node (BRIoT) with
            blockchain implementation in IoT for addressing security issues. Kurk-
            ovsky and Williams (2017) also explored the topic of IoT and examined
            several hardware platforms for IoT and described a student project im-
            plementation using a Raspberry Pi with several different sensors.
              Soerensen et al. (2016) presented the key steps to design, set-up,
            and maintain an inexpensive testbed using Raspberry Pi devices for
            communications and storage networks with network coding capabili-
            ties. They described in detail how to set up interconnected Raspberry
            Pis with memory cards for local storage, a Raspbian Lite image, net-
            work connectivity, and proper system administration privileges.
              Jolles (2021) gave a thorough account of the use of Raspberry Pi in
            biology, where Raspberry Pi is used to collect and monitor environ-
            mental data, animal behaviour, high-throughput behavioural record-


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