Tag: energy efficiency

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 at Jerash University have developed an energy-aware federated deep learning framework that cuts per-round energy use by about 43 ...

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 ...

A hybrid automated machine learning system developed with the Archaeological Park of Pompeii classifies damaged roofs from drone imagery with ...

Researchers in India have developed a cooperative multi-agent reinforcement learning routing protocol, based on the QMIX algorithm, that improves packet ...

Researchers have combined conditional diffusion models with graph neural networks to generate coordinated energy schedules for building clusters, achieving a ...

Researchers at Huzhou University have developed ESM, a deep reinforcement learning system that adapts video streaming bitrates to improve perceived ...

Researchers have coupled a MOF-303 atmospheric water harvester to a discharging battery so that waste heat regenerates the sorbent while ...

A new commentary argues that vertical farming's energy inefficiency is real but that system-level factors such as urban integration, circular ...

Monash University researchers have developed lithium-alloying gallium-based cathodes that overcome the intrinsic energy-efficiency limit of lithium-mediated electrochemical ammonia synthesis, achieving ...

Researchers have developed an adaptive weighted cost-optimization approach that makes optimal task offloading decisions in mobile edge computing within milliseconds, ...

Researchers in China have developed an improved white shark optimization algorithm that substantially lowers user-perceived cost and scales to networks ...

A facility-level audit of Nepalese dairy, plastic, and aluminum plants shows that decarbonization strategies must be tailored to each factory's ...

Researchers in India have enhanced a serverless computing simulator with a realistic virtual machine layer and a multi-agent reinforcement learning ...

Researchers have developed a hybrid Grey Wolf Coot Optimization routing framework with dynamic physically unclonable functions that cuts IoT energy ...

A new micro-space transformation process for fabricating ZIF-8 metal–organic framework membranes, highlighted in Nature Chemical Engineering, supplies the scale-up data ...

Researchers have shown that atomic-scale out-of-centre distortions of d0 transition metals and nanoscale short-range ordering jointly control the voltage hysteresis ...