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@article{155249,
        author = {Supraja V Maskikar and P Bindu Divya and Chitrashree N and Sanjana H Bhonsle and Parvati Kadli and Roopesh Reddy and Ramesh Byali and Hima Bindu Sadashiva Reddy},
        title = {Early detection of flood using ML and IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {350-355},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155249},
        abstract = {Flood which is a complex phenomenon happening all over the world is the ultimate result of climate change. Although there are some gauging stations which are used to predict the occurrence of flood, but they are not really accurate. Unexpected occurrence of flood is causing damage not just to the lives of people but also to the valuable infrastructure. The purpose of our project is to develop a real time and reliable flood monitoring and detection system using deep learning. This paper proposes an wireless sensor networking technology as the reliable, low power and wide area communication for flood detection. Beside that we employee Convolutional Neural Network to detect the presence of living beings who got struck in the flood.},
        keywords = {},
        month = {},
        }