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Achieving best-in-class energy efficiency of 39 pJ/b, this innovative detector redefines the capabilities of MU-MIMO-OFDM systems.
Modular adaptation in SE-MoLoRA not only boosts critique performance but also streamlines the process, reducing the need for extensive model training.
One-to-many issue-commit traceability can be effectively modeled as an iterative ranking problem, yielding a 26% performance boost over traditional methods.
SlimPer achieves deeper relevance understanding in recommendation systems without the computational bloat, leading to measurable boosts in user engagement on platforms like Instagram.