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Low-complexity high-performance deep learning model for real time low cost embedded fire detection system.
(Elsevier, 2020)
Correct and timely detection of fires has been an active area of research. Both shallow learning (with manual feature engineering),
as well as deep learning (with its promise of automatically extracting meaningful ...
Zero-padding and spatial augmentation-based gas sensor node optimization approach in resource-constrained 6G-IoT paradigm
(MDPI, 2022-04-15)
Ultra-low-power is a key performance indicator in 6G-IoT ecosystems. Sensor nodes in this eco-system are also capable of running light-weight artificial intelligence (AI) models. In this work, we have achieved high performance ...
Low-cost gaze detection with real-time ocular movements using coordinate-convolutional neural networks
(United Kingdom Simulation Society, 2019-10)
Detection of ocular-movements unfolds various possibilities in computer vision but requires large datasets, expensive hardware and computational power. Prior research substantiates the belief that Convolutional Neural ...
FireNet: a specialized lightweight fire & smoke detection model for real-time IoT applications.
(arXiv, 2018-05-28)
Fire disasters typically result in lot of loss to life
and property. It is therefore imperative that precise, fast, and
possibly portable solutions to detect fire be made readily available
to the masses at reasonable ...