This research introduces a VSLAM framework that optimizes obstacle avoidance in indoor logistics, leveraging advanced ...
The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
At Pittcon 2026, LCGC International Emerging Leader Award Winner, Bob Pirok, discussed the barriers to fully automated method ...
Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...
There is actually a funny story behind the Nano Banana name. In fact, it was reportedly never really intended to be named ...
In International Journal of Extreme Manufacturing, researchers at the University of Science and Technology Beijing developed ...
Researchers have developed an uncertainty quantification-based framework for predicting degradation trends in proton exchange ...
New research suggests quantum computers capable of breaking internet encryption may arrive sooner than expected—with AI ...
Sepsis, a life-threatening and costly condition, necessitates early detection for effective management. However, diagnostic and therapeutic delays are common. Furthermore, sepsis complexity and ...
Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
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