Abstract: A machine learning-assisted quasi-bisection method (MLAQBM) is proposed for the broadband optimization of the pixelated patch antennas. Distinct from traditional MLA optimization methods, ...
Abstract: This paper proposes a novel architecture that efficiently integrates visual place recognition (VPR) and loop closure detection (LCD) into a unified system, evaluated on challenging outdoor ...
Mechanism-level reproduction of Google's Nested Learning (HOPE) architecture (HOPE blocks, CMS, and Self‑Modifying TITANs), matching the quality bar set by lucidrains' TITAN reference while remaining ...
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