In contrast to prior studies that relied on deep learning models with low transparency, or balanced datasets that fail to ...

Face spoofing remains one of the most pressing threats in biometric authentication, with implications spanning mobile device ...

A new study proposes NdLinear, a multi-dimensional linear layer that preserves data structure and slashes parameter counts ...

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.

Predicting Categories and Ingredients of Traditional Dishes Using Deep Learning and Cross-Attention Mechanism. Open Access Library Journal, 12, 1-12. doi: 10.4236/oalib.1112846 . Image recognition and ...

The hybrid learning model combines live and recorded sessions to provide flexibility, enhance engagement, and support student performance. This approach caters to different learning preferences ...

@article{Tang2022Survey, title={Deep learning-based image fusion: A survey}, author={Tang, Linfeng and Zhang, Hao and Xu, Han and Ma, Jiayi}, journal={Journal of ...

Those same rules apply to the remit of an undercover cop. Enter Deep Cover, an upcoming crime comedy in which three improv comedians are recruited by the police as undercover operatives.

Through deep learning algorithms, cybercriminals can manipulate facial characteristics, mimic voices with high accuracy and create convincing fake media. This creates alarming scenarios where ...

Abstract: Most reinforcement learning (RL) algorithms proposed to solve ... To address these issues, this paper proposes a model-free RL algorithm based on the deep deterministic policy gradient (DDPG ...

By using continuous reinforced learning (RL) scaling, Alibaba claimed the QwQ-32B model demonstrates significant improvements in mathematical reasoning and coding proficiency. In a blog post ...

In this study, we introduce a deep learning-based approach, MMFmiRLocEL, which integrates multi-model fusion and ensemble learning for MSL identification. To the best of our knowledge, MMFmiRLocEL is ...