Recent Submissions

  • DeepNGlypred: A deep neural network-based approach for human N-linked glycosylation site prediction 

    Pakhrin, Subash C.; Aoki-Kinoshita, Kiyoko Flora; Caragea, Doina; Kc, Dukka B. (MDPI, 2021-12-02)
    Protein N-linked glycosylation is a post-translational modification that plays an importantrole in a myriad of biological processes. Computational prediction approaches serve as comple-mentary methods for the characterization ...
  • A survey on machine and deep learning models for childhood and adolescent obesity 

    Siddiqui, Hera; Rattani, Ajita; Woods, Nikki Keene; Cure, Laila N.; Lewis, Rhonda K.; Twomey, Janet M.; Smith-Campbell, Betty; Hill, Twyla J. (IEEE, 2021-11-25)
    Childhood and adolescent obesity is a serious health problem that is on the rise at the global level. Earlier, certain diseases such as Type 2 diabetes, high blood pressure, and heart disease affected only adults, but now ...
  • Common reality: An interface of human-robot communication and mutual understanding 

    Yan, Fujian; Namboodiri, Vinod; He, Hongsheng (Springer, Cham, 2021-11-02)
    An interface that can share effective and comprehensive mutual understanding is critical for human-robot interaction. This paper designs a novel human-robot interaction interface that enables humans and robots to interact ...
  • Monocular visual-inertial and robotic-arm calibration in a unifying framework 

    Zhang, Yinlong; Liang, Wei; Yuan, Mingze; He, Hongsheng; Tan, Jindong; Pang, Zhibo (IEEE, 2021-10-20)
    Reliable and accurate calibration for camera, inertial measurement unit (IMU) and robot is a critical prerequisite for visual-inertial based robot pose estimation and surrounding environment perception. However, traditional ...