3 documents found, page 1 of 1
Machine-learning-based frameworks for reliable and sustainable crop forecasting
Singh, Khushwant; Yadav, Mohit; Barak, Dheerdhwaj; Bansal, Shivani; Moreira, FernandoFueled by scientific innovations and data-driven approaches, accurate agriculture has arisen as a transformative sector in contemporary agriculture. The present investigation provides a summary of modern improvements in machine-learning (ML) strategies utilized for crop prediction, accompanied by a performance exploration of contemporary models. It examines the amalgamation of sophisticated technologies, cooper...
Reliability of IoT Systems for fire detection
Singh, Khushwant; Yadav, Mohit; Barak, Dheerdhwaj; Moreira, FernandoIn this paper, a smart IoT system including the software and hardware aspects of its design, as well as its operation in the context of a city or a building, along with its advantages, disadvantages, and potential applications, all with a focus on fire safety have been analyzed. Based on the results of the aforementioned research, it is clear that an IoT-based fire system may be tailored to the specific require...
Reliability on the Internet of Things with designing approach for exploratory a...
Singh, Khushwant; Yadav, Mohit; Singh, Yudhvir; Barak, Dheerdhwaj; Saini, Ashish; Moreira, FernandoThe Internet of Things (IoT) proposes to transform human civilization so that it is smart, practical, and highly efficient, with enormous potential for commercial as well as social and environmental advantages. Reliability is one of the major problems that must be resolved to enable this revolutionary change. The reliability issues raised with specific supporting technologies for each tier according to the laye...