Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...

NRDLC, a unified framework that removes noisy labels and selects informative features simultaneously for partial multi-label ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

The Limits of Ad Creative Optimization and the Breakthroughs Brought by LLM and Reinforcement LearningIn digital marketing, ad creatives are one of the most critical variables influencing conversions ...

Amin's research applies AI and machine learning especially multimodal, text, unsupervised, and graph-based methods to turn ...

An embedded amplifier boosts quantum readout fidelity by enabling on-chip processing, reducing hardware overhead.

Concentric AI develops data security governance technology that helps organizations discover, understand, govern, and protect ...

Learn how algorithmic portfolio management turns market signals into disciplined decisions through risk controls, asset ...

Background Hereditary transthyretin amyloidosis (ATTRv) is a rare multisystem disorder with marked phenotypic heterogeneity.

Unlocking healthcare data requires more than algorithms—it demands validation, context, and clinical collaboration.

First fault-tolerant quantum memory demonstration for a generalized superfast encoding Until now, Generalized Superfast ...