The three-dimensional world of ordinary experience—the universe filled with galaxies, stars, planets, houses, boulders, and ...

Attribution (BY): Credit must be given to the creator. A novel framework is proposed that combines multiresonance biosensors with machine learning (ML) to significantly enhance the accuracy of ...

Abstract: Deep learning (DL) has been garnering increasing attention ... we present a simple but effective multimodal DL baseline by following a deep encoder–decoder network architecture, EndNet for ...

there is no adversarial network, nor any image loss, robustness with regards to JPEG is done by stopping the gradient (see Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

Despite the success of deep learning methods in a wide range of artificial intelligence tasks, time-varying dense prediction is still a less explored domain. Here, we proposed a general ...

Start learning today and level up your life! #LearnWithJay #SkillBuilding #PersonalDevelopment Chandigarh airport suspends flight operations after Operation Sindoor Scientists studied late ...

We systematically evaluated mainstream AI models and proposed EC-HAENet, a hybrid-architecture ensembled deep learning model. In this study, we hope to demonstrate that the deep learning model could ...