International Journal of Embedded Systems and Emerging Technologies
Volume 9, Issue 2 (2023)
Published
Table of contents
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Speech Recognition-Controlled Car Using Arduino-UNO
Abstract: The IoT (Internet of Things) based voice-controlled car is a revolutionary concept that combines the power of connectivity and voice recognition technology to enhance the driving experience. This system allows users to control various aspects of a car using voice commands, making it convenient and hands-free. Users can interact with the car from anywhere using their smartphones via Bluetooth. This project demonstrates how to build a voice-controlled robotic car with …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 1–6 Read article
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Beyond the Classroom: Harnessing the Power of Android for Early Childhood Education Development
Abstract: The point of this inquiry is to address, like, you know, the issue of more prosocial behavior in children, both at domestic and in open spaces. This was distinguished through, like, perceptions and interviews with guardians, who, you know, accept that the need of their interest in their children’s prosocial improvement is, like, due to their restricted understanding. To progress, like, early childhood prosocial behavior, we created an Android-based Early …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 22–29 Read article
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Analyzing Crowds with Deep Learning: A Review of Methods and Challenges
Abstract: With the growing population, the need for an effective crowd management tool emerged. It is important to monitor and analyze unusual crowd movements and behavior for many applications such as peaceful events, protests, gatherings, or traffic management. Current systems, such as video surveillance, are a useful technique for crowd monitoring, but they require human visual capabilities to monitor the crowd. This work is a paper on Crowd Analysis using convolution …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 30–42 Read article
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Enhancing Telemedicine Services in Disaster Recovery Operations with Sustainable Communication Infrastructure
Abstract: This paper tackles the complex challenge of ensuring reliable telemedicine services in disaster zones by proposing a self-sustaining Disaster Recovery Network (DRN) infrastructure. We present a blend of innovative methods and algorithms to overcome logistical hurdles in establishing an eco-friendly DRN. Our work delves deep into the system's inner workings, pinpointing key performance indicators and measuring its effectiveness. A central theme is the seamless integration of diverse reliability approaches. In …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 43–59 Read article
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COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.
Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 Read article