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This research employs Internet of things (IoT) and deep learning methods to precisely recognize bites of Egyptian cobra, in the real-time, by analyzing images of the bite marks. We deploy IoT-enabled wearable devices equipped with sensors capable of detecting snake bites, whereas these sensors measure changes in physiological parameters indicative of a snakebite, such as heart rate, blood pressure, and temperature sensors based on our proposed mathematical algorithm. Also, we present a real case study in which we used our mathematical algorithm to determine based on its sensor readings whether the victim was exposed to a snake bite or not in the real-time. These wearable devices can be worn by individuals working or living in areas prone to snake encounters, such as farmers. When a snake bite occurs, the IoT sensors embedded in the wearable devices will immediately detect the bite and transmit real-time data, including vital information about the bite marks, to a central monitoring system or victim relative. Also, we assembled a dataset consisting of 500 images depicting Egyptian cobra bites and 600 images of bites from various other snake species indigenous to Egypt. To bolster the model\u2019s trustworthiness and facilitate understanding of its decisions, we employed the contemporary method of explainable deep learning. Also, notably, our methodology yielded an accuracy of 90.9%.<\/jats:p>","DOI":"10.1515\/jisys-2024-0167","type":"journal-article","created":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T12:34:01Z","timestamp":1738845241000},"source":"Crossref","is-referenced-by-count":1,"title":["Explainable deep learning approach for recognizing \u201cEgyptian Cobra\u201d bite in real-time"],"prefix":"10.1515","volume":"34","author":[{"given":"Mohamed","family":"Elhoseny","sequence":"first","affiliation":[{"name":"College of Computing and Informatics, University of Sharjah , Sharjah , 000 , United Arab Emirates"},{"name":"Faculty of Computers and Information, Mansoura University , Mansoura , 35516 , Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Hassan","sequence":"additional","affiliation":[{"name":"Faculty of Science, Beni-Suef University , Beni-Suef , 62511 , Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marwa H.","family":"Shehata","sequence":"additional","affiliation":[{"name":"Faculty of Science, Beni-Suef University , Beni-Suef , 62511 , Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed","family":"Kayed","sequence":"additional","affiliation":[{"name":"Faculty of Computers and Artificial Intelligence, Beni-Suef University , Beni-Suef , 62511 , Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2025,2,6]]},"reference":[{"key":"2025122009032268340_j_jisys-2024-0167_ref_001","doi-asserted-by":"crossref","unstructured":"Omran MAA, Fabb SA, Dickson G. Biochemical and morphological analysis of cell death induced by Egyptian cobra (Naja haje) venom on cultured cells. J Venom Anim Toxins Incl Trop Dis. 2004;10:219\u201341. 10.1590\/S1678-91992004000300004.","DOI":"10.1590\/S1678-91992004000300004"},{"key":"2025122009032268340_j_jisys-2024-0167_ref_002","doi-asserted-by":"crossref","unstructured":"Morsy TA, Khater MKA, Khalifa AKE. Principle management of snake bites with reference to Egypt. J Egypt Soc Parasitol. 2021;51(2):332\u201342. 10.21608\/jesp.2021.193313.","DOI":"10.21608\/jesp.2021.193313"},{"key":"2025122009032268340_j_jisys-2024-0167_ref_003","doi-asserted-by":"crossref","unstructured":"James AP, Mathews B, Sugathan S, Raveendran DK. Discriminative histogram taxonomy features for snake species identification. 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