AI in the Home: New Review Maps the Future of Smart Energy and Water Savings
A new PRISMA-based systematic review of 32 studies finds that AI can dramatically cut household energy and water waste, but ...
A new PRISMA-based systematic review of 32 studies finds that AI can dramatically cut household energy and water waste, but ...
A CFD-driven multi-objective optimization of 192 shell-and-tube heat exchanger configurations shows how Marun furnace exhaust heat at 973 K can ...
Researchers have developed an Eco-Efficiency Value Stream Mapping framework that uses five decades of US industrial assessment data to help ...
A survey of 176 Jordanian manufacturing managers shows that technological and financial resources fuel digital transformation, which in turn boosts ...
An AI decision-support model tested across 85 automotive, electronics, and textile plants achieved up to 27 percent lower energy use, ...
Researchers at Jerash University have developed an energy-aware federated deep learning framework that cuts per-round energy use by about 43 ...
A 30-month full-scale trial in Susaki, Japan, shows a modular downflow hanging sponge sewage treatment system maintained high effluent quality ...
Researchers have developed VoteChain, a voting-based blockchain consensus framework that embeds a lightweight CNN-LSTM anomaly detector to cut energy use ...
Researchers have replaced trial-and-error tuning of a recursive least squares identifier with a hill-climbing algorithm and a new error metric, ...
A sweeping new review maps seven interacting energy constraints in large-scale AI and argues that resource-allocation strategies from the 20-watt ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine