Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based ...

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

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 ...

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

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 ...

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

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

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 ...