At the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), held in Hangzhou, China, ...
The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient ...
Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
Algerian researchers have built a single-stage solar and battery desalination system for brackish water that uses a hybrid spotted hyena optimizer and maximum power point tracking (MPPT) algorithm to ...
See why last-click attribution falls short in complex B2B journeys and how multitouch attribution models provide clearer ...
A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
Researchers from the University of South Florida and partner institutes developed the DynBAS-AWRF Tree, an AI-powered, energy ...
This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...
Discover the latest advancements in laser micro/nano-manufacturing! This special issue explores cutting-edge techniques and applications that are ...
In this transcription of a Rail Group On Air Podcast, Norfolk Southern Executive Vice President and Chief Operating Officer ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback