Abstract: This research paper presents the development and evaluation of a neural network-based model for predicting fire alarms in smoke detection systems. Using a dataset from Kaggle containing 15 features and 3487 samples, we trained and validated a neural network with a three-layer architecture. The model achieved an accuracy of 100% and an average error of 0.0000003. Additionally, we identified the most influential features in predicting fire alarms.

As parents and students wished not to be closed these schools because the direct victim will be the students if any action form government is taken for shutting down the schools. These schools should be handed over to local management. About the issue of closing Pak-Turk Schools, Imran Khan, head of the leading political party, now the Prime Minister of Pakistan, said that Pakistan would respect the Turk government’s decision; however, he suggested an amicable solution of the issue so as (...) to protect the future of the students as well as of the teachers. According to the press statement released from PTI Central Media Department, during the meeting they discussed the issues of mutual importance Now the local administration should develop diversification in vision and mission of the organization. (shrink)