An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

PRNewswire Ahmedabad Gujarat [India] November 12 In a bold step toward cleaner air Oizom a global environmental monitoring ...

The interconnectedness of these systems within energy grids, water treatment facilities ... Identify low-hanging fruit, major ...

QUT data scientists, as part of an international study, have developed an enhanced statistical method to monitor the quality ...

Calgary, Canada, is no stranger to water infrastructure issues, having recently experienced a mainline break and subsequent ...