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2020 – today
- 2024
[c22]Ngoc Hung Nguyen, Duc Hong An Le, Vu Trung Duong Le, Van Tinh Nguyen, Tuan Hai Vu, Hoai Luan Pham, Yasuhiko Nakashima:
LI-RV: A Fast and Efficient RISC-V based Coprocessor for Lightweight Cryptography. ISOCC 2024: 1-2- [c21]Duc Hong An Le, Vu Trung Duong Le, Viet Anh Ho, Van Tinh Nguyen, Hoai Luan Pham, Van Duy Tran, Tuan Hai Vu, Yasuhiko Nakashima:
High-Efficiency RISC-V-Based Cryptographic Coprocessor for Security Applications. ISOCC 2024: 103-104 - [i1]Van Duy Tran, Tran Xuan Hieu Le, Thi Diem Tran, Hoai Luan Pham
, Vu Trung Duong Le, Tuan Hai Vu, Van Tinh Nguyen, Yasuhiko Nakashima:
Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation. CoRR abs/2407.17790 (2024) - 2023
- [j5]Quang-Manh Duong, Quang-Kien Trinh, Van-Tinh Nguyen, Dinh-Ha Dao, Luong Duy Manh, Van-Phuc Hoang, Longyang Lin, Chacko John Deepu:
A low-power charge-based integrate-and-fire circuit for binarized-spiking neural network. Int. J. Circuit Theory Appl. 51(7): 3404-3414 (2023) - [j4]Van-Ngoc Dinh, Ngoc-My Bui, Van-Tinh Nguyen, Deepu John, Longyang Lin, Quang-Kien Trinh:
NUTS-BSNN: A non-uniform time-step binarized spiking neural network with energy-efficient in-memory computing macro. Neurocomputing 560: 126838 (2023) - [c20]Manh Tuyen Trinh, Van Tinh Nguyen:
An Observer-Based Distributed Nonlinear Model Predictive Fault-Tolerant Control for Leader-Following Formation Tracking Control. ICSSE 2023: 134-141 - [c19]Hai-Yen Pham, Van-Tinh Nguyen, Thanh-Tung Bui:
An Adaptive Fault Tolerant Control for a Wheeled Mobile Robot under Actuator Fault and Dead Zone*. ICSSE 2023: 157-163 - [c18]Manh-Hung Ha, Do Anh Luyen, Oscal Tzyh-Chiang Chen, Truong Cong Doan, Nguyen Van Tinh:
NDAU: Non-Local Dual Attention-Gated Unet for Brain Tumor Segmentation. ICSSE 2023: 543-547 - [c17]Van Tinh Nguyen, Van Thien Nguyen, Thi Thanh Van Thai, Thi Thanh Hoa Duong, Dang Hung Tran:
Drug-Disease Association Prediction Through Multiple Integrated Similarities and Deep Learning. KSE 2023: 1-6 - 2022
- [c16]Van-Ngoc Dinh, Ngoc-My Bui, Van-Tinh Nguyen, Quang-Manh Duong, Quang-Kien Trinh:
FBW-SNN: A Fully Binarized Weights-Spiking Neural Networks for Edge-AI Applications. ICICDT 2022: 105-108 - 2021
- [j3]Van-Tinh Nguyen, Quang-Kien Trinh, Renyuan Zhang, Yasuhiko Nakashima:
STT-BSNN: An In-Memory Deep Binary Spiking Neural Network Based on STT-MRAM. IEEE Access 9: 151373-151385 (2021) - [j2]Van-Tinh Nguyen, Hong Ha Nguyen, Gidon Han:
Development of an integrated modeling flatform for watershed simulation. Environ. Model. Softw. 139: 105014 (2021) - [c15]Van Tinh Nguyen, Dang Hung Tran:
An improved computational method for prediction of lncRNA-disease associations based on collaborative filtering and resource allocation. KSE 2021: 1-6 - [c14]Van-Tinh Nguyen, Tieu-Khanh Luong, Emanuel M. Popovici, Quang-Kien Trinh, Renyuan Zhang, Yasuhiko Nakashima:
An Accurate and Compact Hyperbolic Tangent and Sigmoid Computation Based Stochastic Logic. MWSCAS 2021: 386-390 - 2020
- [c13]Van-Tinh Nguyen, Tieu-Khanh Luong, Renyuan Zhang, Yasuhiko Nakashima:
A Compact and Accuracy-Reconfigurable Univariate RBF Kernel Based on Stochastic Logic. ISCAS 2020: 1-5 - [c12]Van Tinh Nguyen, Thi Tu Kien Le, Dang Hung Tran:
A new method on lncRNA-disease-miRNA tripartite graph to predict lncRNA-disease associations. KSE 2020: 287-293 - [c11]Renyuan Zhang, Tati Erlina, Tinh Van Nguyen, Yasuhiko Nakashima:
Hybrid Stochastic Computing Circuits in Continuous Statistics Domain. SoCC 2020: 225-230
2010 – 2019
- 2019
- [c10]Tieu-Khanh Luong, Van-Tinh Nguyen, Anh-Thai Nguyen, Emanuel M. Popovici:
Efficient Architectures and Implementation of Arithmetic Functions Approximation Based Stochastic Computing. ASAP 2019: 281-287 - [c9]Van Tinh Nguyen, Tati Erlina, Renyuan Zhang, Yasuhiko Nakashima:
A Programmable Approximate Calculation Unit Employing Time-Encoded Stochastic Computing Elements. CANDAR Workshops 2019: 91-96 - 2018
- [c8]Van-Tinh Nguyen, Tieu-Khanh Luong, Han Le Duc, Van-Phuc Hoang:
An Efficient Hardware Implementation of Activation Functions Using Stochastic Computing for Deep Neural Networks. MCSoC 2018: 233-236 - 2017
- [j1]Nguyen Huy Tuan, Dinh Nguyen Duy Hai, Le Dinh Long, Van-Tinh Nguyen, Mokhtar Kirane:
On a Riesz-Feller space fractional backward diffusion problem with a nonlinear source. J. Comput. Appl. Math. 312: 103-126 (2017) - [c7]Van-Phuc Hoang, Van-Tinh Nguyen, Anh-Thai Nguyen, Cong-Kha Pham:
A low power AES-GCM authenticated encryption core in 65nm SOTB CMOS process. MWSCAS 2017: 112-115 - [c6]Van-Tinh Nguyen, Van-Phuc Hoang, Van-Thuan Sai, Tieu-Khanh Luong, Minh-Tu Nguyen, Han Le Duc:
A new approach of stochastic computing for arithmetic functions in wideband RF transceivers. MWSCAS 2017: 1525-1528 - 2016
- [c5]Quang Hoang, Tinh Van Nguyen, Hoang Lien Minh Vo, Truong Thi Nhu Thuy:
A Method for Transforming TimeER Model-Based Specification into Temporal XML. ICCSAMA 2016: 59-73 - 2014
- [c4]Tran Duc-Tan, Nguyen Van Tinh:
Reliable fall detection system using an 3-DOF accelerometer and cascade posture recognitions. APSIPA 2014: 1-6 - [c3]Dinh-Thuan Le, Huu-Vu Nguyen, Van-Tinh Nguyen, Phuong-Nam Mai, Bao-Trung Pham-Duy, Thanh-Tho Quan, Étienne André, Laure Petrucci, Yang Liu:
PeCAn: Compositional Verification of Petri Nets Made Easy. ATVA 2014: 242-247 - [c2]Van Tinh Nguyen, Thuong Cat Pham, Minh Tuan Pham, T. T. Quyen Bui:
Visual control of integrated mobile robot-pan tilt-camera system for tracking a moving target. ROBIO 2014: 1566-1571 - 2013
- [c1]Thuan Hoang Tran, Van Tinh Nguyen, Minh Tuan Pham, Thuong Cat Pham:
Trajectory tracking control of a mobile robot by computed torque method with on-line learning neural network. ICCA 2013: 1184-1189
Coauthor Index
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