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IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
Evaluation of Boarding Methods Adapted for Social Distancing When Using Apron BusesR John Milne, Camelia Delcea, Liviu-Adrian Cotfas, et al.
IEEE Access : Practical Innovations, Open Solutions|November 17, 2021
A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical RecordsRosario Catelli, Francesco Gargiulo, Valentina Casola, et al.
IEEE Access : Practical Innovations, Open Solutions|September 19, 2019
Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion DetectionSeyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, et al.
IEEE Access : Practical Innovations, Open Solutions|January 3, 2022
A Novel Parametric Model for the Prediction and Analysis of the COVID-19 CasualtiesOnder Tutsoy, Sule Colak, Adem Polat, et al.
IEEE Access : Practical Innovations, Open Solutions|January 3, 2022
COVID-19 Contact Tracing: Challenges and Future DirectionsMohammad Jabed Morshed Chowdhury, Md Sadek Ferdous, Kamanashis Biswas, et al.
IEEE Access : Practical Innovations, Open Solutions|January 3, 2022
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)Md Milon Islam, Fakhri Karray, Reda Alhajj, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Non-linearity of Skin Properties in Electrotactile Applications: Identification and MitigationMehdi Rahimi, Fang Jiang, Yantao Shen
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Stochastic Simulation of Cellular MetabolismEmalie J Clement, Thomas T Schulze, Ghada A Soliman, et al.
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Plane-Aided Visual-Inertial Odometry for 6-DOF Pose Estimation of a Robotic Navigation AidH E Zhang, Cang Ye
IEEE Access : Practical Innovations, Open Solutions|March 22, 2021
Generalizability of SuperAlarm via Cross-Institutional Performance EvaluationRan Xiao, Duc Do, Cheng Ding, et al.
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