Van-Tinh Nguyen
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2023
NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro.
Neurocomputing, December, 2023
A low-power charge-based integrate-and-fire circuit for binarized-spiking neural network.
Int. J. Circuit Theory Appl., July, 2023
Drug-Disease Association Prediction Through Multiple Integrated Similarities and Deep Learning.
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023
An Observer-Based Distributed Nonlinear Model Predictive Fault-Tolerant Control for Leader-Following Formation Tracking Control.
Proceedings of the International Conference on System Science and Engineering, 2023
An Adaptive Fault Tolerant Control for a Wheeled Mobile Robot under Actuator Fault and Dead Zone<sup>*</sup>.
Proceedings of the International Conference on System Science and Engineering, 2023
Proceedings of the International Conference on System Science and Engineering, 2023
2022
Proceedings of the International Conference on IC Design and Technology, 2022
2021
Environ. Model. Softw., 2021
IEEE Access, 2021
An Accurate and Compact Hyperbolic Tangent and Sigmoid Computation Based Stochastic Logic.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021
An improved computational method for prediction of lncRNA-disease associations based on collaborative filtering and resource allocation.
Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021
2020
Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020
A new method on lncRNA-disease-miRNA tripartite graph to predict lncRNA-disease associations.
Proceedings of the 12th International Conference on Knowledge and Systems Engineering, 2020
A Compact and Accuracy-Reconfigurable Univariate RBF Kernel Based on Stochastic Logic.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
2019
A Programmable Approximate Calculation Unit Employing Time-Encoded Stochastic Computing Elements.
Proceedings of the Seventh International Symposium on Computing and Networking Workshops, 2019
Efficient Architectures and Implementation of Arithmetic Functions Approximation Based Stochastic Computing.
Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019
2018
An Efficient Hardware Implementation of Activation Functions Using Stochastic Computing for Deep Neural Networks.
Proceedings of the 12th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2018
2017
On a Riesz-Feller space fractional backward diffusion problem with a nonlinear source.
J. Comput. Appl. Math., 2017
A new approach of stochastic computing for arithmetic functions in wideband RF transceivers.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017
2016
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2016
2014
Visual control of integrated mobile robot-pan tilt-camera system for tracking a moving target.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014
Proceedings of the Automated Technology for Verification and Analysis, 2014
Reliable fall detection system using an 3-DOF accelerometer and cascade posture recognitions.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014
2013
Trajectory tracking control of a mobile robot by computed torque method with on-line learning neural network.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013