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RACS 2022: Virtual Event, Japan
- Peng Li, Junyoung Heo, Tomás Cerný:
Proceedings of the Conference on Research in Adaptive and Convergent Systems, RACS 2022, Virtual Event, Japan, October 3-6, 2022. ACM 2022, ISBN 978-1-4503-9398-0 - Shao-Hua Wang, Wei-Liang Yiu, Chia-Heng Tu, Da-Wei Chang, Wei-Hsun Lee:
A software framework of roadside units for traffic condition perception and broadcast. 1-8 - Chen-Tui Hung, Kai-Xuan Lee, Yi-Zheng Liu, Ya-Shu Chen:
EASTA: energy-aware scheduling for timely applications on intermittent systems. 9-14 - Dong Huang, Xiucai Ye, Tetsuya Sakurai:
Knowledge distillation-based privacy-preserving data analysis. 15-20 - Hyun Soo Kim, Nabilah Muallifah, Yesung Cho, Bumho Lee, Mun Yong Yi:
Deep learning-based defect detection on livestock operations. 21-27 - Kouhei Katou, Xiaoyan Wang, Masahiro Umehira, Yusheng Ji:
Deep reinforcement learning based secondary user transmit power control for underlay cognitive radio networks. 28-32 - Yang Zhang, Jiacheng Li, Lei Li:
A dynamic mutation particle swarm optimization algorithm. 33-38 - Luka Lelovic, Michael Mathews, Amr Elsayed, Tomás Cerný, Karel Frajták, Pavel Tisnovsky, Davide Taibi:
Architectural languages in the microservice era: a systematic mapping study. 39-46 - Haosong Peng, Chuge Wu, Yufeng Zhan, Yuanqing Xia:
Lore: a learning-based approach for workflow scheduling in clouds. 47-52 - Manabu Ito, Konstantin Markov:
Sentence embedding based emotion recognition from text data. 53-57 - Chin-Hsien Wu, Chi-Yen Yang:
A low-complexity coding method for mitigating retention errors and read-disturb errors in TLC NAND flash memory. 58-63 - Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga, Lei Zhong, Yusheng Ji:
On-device federated learning with fuzzy logic based client selection. 64-70 - Yan Lyu, Qiangfu Zhao, Yong Liu:
End-to-end image captioning based on reduced feature maps of deep learners pre-trained for object detection. 71-76 - Lesong Wei, Xiucai Ye, Tetsuya Sakurai:
ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. 77-82 - Kaitlynn Burgess, Dante Hart, Amr Elsayed, Tomás Cerný, Miroslav Bures, Pavel Tisnovsky:
Visualizing architectural evolution via provenance tracking: a systematic review. 83-91 - Yalong Li, Celimuge Wu, Lei Zhong, Tsutomu Yoshinaga:
A communication-efficient distributed machine learning scheme in vehicular network. 92-98 - Hung-Hsin Chen, Chih-Hao Chang, Shih-Hao Hung:
hKVS: a framework for designing a high throughput heterogeneous key-value store with SmartNIC and RDMA. 99-106 - Abir Mohammad Hadi, Kwanghee Won, Sung Shin:
Task dependent model complexity: shallow vs deep network. 107-111 - Li Lin, Yuanyuan Zhang, Jinbo Xiong, Jiayin Lin:
An incentive mechanism for collaborative intelligence. 112-118 - Xiang Zhang, Yu Gu, Huan Yan, Yantong Wang, Fuji Ren, Yusheng Ji:
Hierarchical facial expression recognition. 119-123 - Chuan-Chi Wang, Chia-Heng Tu, Ming-Chang Kao, Shih-Hao Hung:
TensorHE: a homomorphic encryption transformer for privacy-preserving deep learning. 124-130 - Wenxuan Zhou, Zhihao Qu, Yanchao Zhao, Bin Tang, Baoliu Ye:
An efficient split learning framework for recurrent neural network in mobile edge environment. 131-138 - Christopher Johann Clarke, Jatin Chowdhury, Cindy Ming Ying Lin, Ivan Fu Xing Tan, Prachee Priyadarshinee, Balamurali B. T., Dorien Herremans, Jer-Ming Chen:
Computationally efficient physics approximating neural networks for highly nonlinear maps. 139-146 - Xiaosong Zhao, Yong Liu:
False awareness stock market prediction by LightGBM with focal loss. 147-152 - Hung-Ming Chen, Yung-Feng Lu, Jia-Hong Jhang, Hong-Sheng Sun:
An OpenDDS cross-platform data exchange module for cloud-edge-based industrial internet of things. 153-158 - Yung-Feng Lu, Hung-Ming Chen, Chang-Wei Chen, Hsueh-Wen Tseng, Chin-Fu Kuo:
Red-black tree I/O management of solid state disk with elastic striping design. 159-164 - Hafiz Areeb Asad, Frank Alexander Kraemer, Kerstin Bach, Christian Renner, Tiago Santos Veiga:
Learning attention models for resource-constrained, self-adaptive visual sensing applications. 165-171 - Brian Krupp, Julia Gersey, Franklin Lebo:
Campus plate: connecting students on college campuses to reduce food waste and food insecurity. 172-177 - Peter Kudry, Michael Cohen:
Prototype of a wearable force-feedback mechanism for free-range immersive experience. 178-184 - Youngsun Jang, Kwanghee Won, Hyung-Do Choi, Sung Shin:
Deep learning models for multiple answers extraction and classification of scientific publications. 185-190 - Jusuk Lee, Jae-Hoon An, Younghwan Kim:
A study on CSD-based storage engine scheduling for high-speed processing of large-scale data. 191-194
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