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pro vyhledávání: '"Saydirasulov Norkobil Saydirasulovich"'
Autor:
Saydirasulov Norkobil Saydirasulovich, Mukhriddin Mukhiddinov, Oybek Djuraev, Akmalbek Abdusalomov, Young-Im Cho
Publikováno v:
Sensors, Vol 23, Iss 20, p 8374 (2023)
Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing fires. Nevertheless, succeeding techniques for detecting f
Externí odkaz:
https://doaj.org/article/19c97fd5ea5a4168a2f448fbf4764af7
Autor:
Saydirasulov Norkobil Saydirasulovich, Akmalbek Abdusalomov, Muhammad Kafeel Jamil, Rashid Nasimov, Dinara Kozhamzharova, Young-Im Cho
Publikováno v:
Sensors, Vol 23, Iss 6, p 3161 (2023)
Authorities and policymakers in Korea have recently prioritized improving fire prevention and emergency response. Governments seek to enhance community safety for residents by constructing automated fire detection and identification systems. This stu
Externí odkaz:
https://doaj.org/article/daa88afb1242443289494b33581864e8