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Showing 4 of 4 academic articles

A recurrent neural network framework for flexible and adaptive decision making based on sequence learning.

Zhewei Zhang, Huzi Cheng, Tianming Yang • PLoS Computational Biology (2020)

The brain makes flexible and adaptive responses in a complicated and ever-changing environment for an organism's survival. To achieve this, the brain needs to understand the contingencies between its sensory inputs, actions, and rewards. Th...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pcbi.1008342

Enhancing image caption generation through context-aware attention mechanism

Ahatesham Bhuiyan, Eftekhar Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan • Heliyon (2024)

Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction. While much prior research ha...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2024.e36272

AN IMPROVED GRU BASED ON RECURRENT ATTENTION UNIT AND SELF- ATTENTION TECHNIQUE FOR TEXT SENTIMENT ANALYSIS

Dhurgham Ali Mohammed, Kalyani A. Patel • ICTACT Journal on Soft Computing (2025)

In text sentiment analysis, a crucial challenge is that conventional word vectors fail to capture lexical ambiguity. The Gated Recurrent Unit (GRU), an advanced variant of RNN, is extensively utilized in natural language processing tasks su...

DOAJ Open Access (DOAJ) DOI: 10.21917/ijsc.2025.0518