Journal: J. Comput. Sci. Technol.

Volume 31, Issue 2

225 -- 234Qiaohong Li, Yuming Fang, Jingtao Xu. A Novel Spatial Pooling Strategy for Image Quality Assessment
235 -- 252Jing Li, Lei Liu, Yuan Wu, Xiang-Hua Liu, Yi Gao, Xiaobing Feng, Chengyong Wu. Pragma Directed Shared Memory Centric Optimizations on GPUs
253 -- 266Xin He, Guihai Yan, Yinhe Han, Xiao-Wei Li. Wide Operational Range Processor Power Delivery Design for Both Super-Threshold Voltage and Near-Threshold Voltage Computing
267 -- 283Xiaotong Cui, Kaijie Wu, Tongquan Wei, Edwin Hsing-Mean Sha. Worst-Case Finish Time Analysis for DAG-Based Applications in the Presence of Transient Faults
284 -- 299Zhe Liu 0001, Hwajeong Seo, Howon Kim. A Synthesis of Multi-Precision Multiplication and Squaring Techniques for 8-Bit Sensor Nodes: State-of-the-Art Research and Future Challenges
300 -- 316Li-Li Xu, Hui-Min Lin. Complete Proof Systems for Amortised Probabilistic Bisimulations
317 -- 325Yuan Yao, Bin Zhang, Wenling Wu. Utilizing Probabilistic Linear Equations in Cube Attacks
326 -- 349Erika Rosas, Nicolas Hidalgo, Veronica Gil Costa, Carolina Bonacic, Mauricio Marín, Hermes Senger, Luciana Arantes, Cesar A. C. Marcondes, Olivier Marin. Survey on Simulation for Mobile Ad-Hoc Communication for Disaster Scenarios
350 -- 358Sheng-Li Pan, Zhi-Yong Zhang, Yingjie Zhou, Feng Qian, Guangmin Hu. Identify Congested Links Based on Enlarged State Space
359 -- 380Zeinab Hmedeh, Harris Kourdounakis, Vassilis Christophides, Cédric du Mouza, Michel Scholl, Nicolas Travers. Content-Based Publish/Subscribe System for Web Syndication
381 -- 399Tak-Lam Wong. Answering Reachability Queries on Incrementally Updated Graphs by Hierarchical Labeling Schema
400 -- 416Rong-Fei Cao, Xing-ce Wang, Zhong-ke Wu, Ming-quan Zhou, Xin Yu Liu. A Parallel Markov Cerebrovascular Segmentation Algorithm Based on Statistical Model
417 -- 427Rong-Zhi Qi, Zhi-Jian Wang, Shui-Yan Li. A Parallel Genetic Algorithm Based on Spark for Pairwise Test Suite Generation
428 -- 436Xi-Ming Li, Ji-hong Ouyang. Tuning the Learning Rate for Stochastic Variational Inference