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ORCIDNeurocomputing, Volume 485
Volume 485, May 2022
- Xin Yi, Bo Ma, Yulin Zhang, Longyao Liu, Jiahao Wu:
Two-step image dehazing with intra-domain and inter-domain adaptation. 1-11 - Zhifeng Hao, Junhao Chen, Wen Wen, Biao Wu, Ruichu Cai:
Motif-based memory networks for complex-factoid question answering. 12-21 - Li Zhang, Gan Huang, Zhen Liang, Linling Li, Zhiguo Zhang:
Estimating scale-free dynamic effective connectivity networks from fMRI using group-wise spatial-temporal regularizations. 22-35 - Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan
, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. 36-46 - Dengdi Sun, Wandong Xie, Zhuanlian Ding, Jin Tang:
SILP-autoencoder for face de-occlusion. 47-56 - Ronghua Shang, Xinlei Zhang, Jie Feng, Yangyang Li, Licheng Jiao:
Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection. 57-73 - Mohammad Samar Ansari:
A single-layer asymmetric RNN with low hardware complexity for solving linear equations. 74-88 - Zeyu Ruan, Yuanyuan Li, Junhao Hu, Jun Mei, Dan Xia:
Finite-time synchronization of the drive-response networks by event-triggered aperiodic intermittent control. 89-102 - Erguang Yang, Mingtong Liu, Deyi Xiong, Yujie Zhang, Yao Meng, Jinan Xu, Yufeng Chen:
Improving generation diversity via syntax-controlled paraphrasing. 103-113 - Yajun Ru, Xihe Qiu, Xiaoyu Tan, Bin Chen, Yongbin Gao, Yaochu Jin:
Sparse-attentive meta temporal point process for clinical decision support. 114-123 - Corey Lammie, Wei Xiang, Bernabé Linares-Barranco, Mostafa Rahimi Azghadi:
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. 124-133 - Tianyi Ma, Bingcheng Mao, Ming Chen:
A two-phase half-async method for heterogeneity-aware federated learning. 134-154 - Mingxue Yang, Lujie Peng, Li Liu, Yujiang Wang, Zhenyuan Zhang, Zhengxi Yuan, Jun Zhou:
LCSED: A low complexity CNN based SED model for IoT devices. 155-165 - Ahmed Fathalla, Kenli Li, Ahmad Salah, Marwa F. Mohamed:
An LSTM-based distributed scheme for data transmission reduction of IoT systems. 166-180 - Xiaotong Wu, Lianyong Qi, Jiaquan Gao, Genlin Ji, Xiaolong Xu:
An ensemble of random decision trees with local differential privacy in edge computing. 181-195 - Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu:
Neural architecture tuning with policy adaptation. 196-204 - Jiaxin Liu, Xucheng Song, Yingjie Zhou, Xi Peng, Yanru Zhang, Pei Liu, Dapeng Wu, Ce Zhu:
Deep anomaly detection in packet payload. 205-218 - Lei Yang, Wanrong Zou, Jianggan Wang, Zi Tang:
EdgeShare: A blockchain-based edge data-sharing framework for Industrial Internet of Things. 219-232 - Jianxi Yang, Hao Li, Junzhi Zou, Shixin Jiang, Ren Li, Xinlong Liu:
Concrete crack segmentation based on UAV-enabled edge computing. 233-241 - Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li:
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. 242-251 - Qiwei Xie, Ranran Liu, Zhao Sun, Shanshan Pei, Feng Cui:
A flexible free-space detection system based on stereo vision. 252-262 - Kashif Naseer Qureshi, Omprakash Kaiwartya, Gwanggil Jeon, Francesco Piccialli:
Neurocomputing for internet of things: Object recognition and detection strategy. 263-273 - Yinxue Yi, Zufan Zhang, Laurence T. Yang, Xiaokang Wang, Chenquan Gan:
Edge-aided control dynamics for information diffusion in social Internet of Things. 274-284 - Xiaoping Zhu, Yi Xiao:
Adaptive offloading and scheduling algorithm for big data based mobile edge computing. 285-296 - Di Liu, Hao Kong, Xiangzhong Luo, Weichen Liu, Ravi Subramaniam:
Bringing AI to edge: From deep learning's perspective. 297-320
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