• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 47 matches

• 2020
• 
  Valeria Fionda, Antonella Guzzo:
  Control-Flow Modeling with Declare: Behavioral Properties, Computational Complexity, and Tools. IEEE Trans. Knowl. Data Eng. 32(5): 898-911 (2020)
• 2019
• 
  Helbert E. Espitia, Iván Machón González, Hilario López García, Guzmán Díaz:
  Proposal of an Adaptive Neurofuzzy System to Control Flow Power in Distributed Generation Systems. Complex. 2019: 1610898:1-1610898:16 (2019)
• 
  Guofeng Wang, Kangli Zhao, Yu Yang, Junjie Lu, Youbing Zhang:
  A Decentralized Energy Flow Control Framework for Regional Energy Internet. Complex. 2019: 3928268:1-3928268:10 (2019)
• 
  Xiujuan Ji, Xiaohui Sun, Jing Xu:
  基于复杂控制流的源代码内存泄漏静态检测 (Source Code Memory Leak Static Detection Based on Complex Control Flow). 计算机科学 46(11A): 517-523 (2019)
• 
  Feng He, Zhiyu Wang, Xiaoyan Gu:
  Complex Real-Time Network Topology Generation Optimization Based on Message Flow Control. ICDS 2019: 639-651
• 2018
• 
  Nejib Smaoui:
  Symmetries, Dynamics, and Control for the 2D Kolmogorov Flow. Complex. 2018: 4602485:1-4602485:15 (2018)
• 2017
• 
  Elena A. Grebenyuk, E. L. Itskovich:
  Features of estimation of the main key performance indicators of work of production of technological type. I. Complex of key indicators and feature of estimation of qualitative indexes of production flows. Autom. Remote. Control. 78(1): 159-166 (2017)
• 
  Li Wang, Shimin Lin, Jingfeng Yang, Nanfeng Zhang, Ji Yang, Yong Li, Handong Zhou, Feng Yang, Zhifu Li:
  Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm. Complex. 2017: 5067145:1-5067145:11 (2017)
• 2016
• 
  Ezgi Çiçek, Zoe Paraskevopoulou, Deepak Garg:
  A type theory for incremental computational complexity with control flow changes. ICFP 2016: 132-145
• 
  Tajas Ruschke, Lukas Johannes Jung, Dennis Wolf, Christian Hochberger:
  Scheduler for Inhomogeneous and Irregular CGRAs with Support for Complex Control Flow. IPDPS Workshops 2016: 198-207
• 
  Aviv Segall, Orestis Vantzos, Mirela Ben-Chen:
  Hele-shaw flow simulation with interactive control using complex barycentric coordinates. Symposium on Computer Animation 2016: 85-95
• 
  Xiangyang Lu, Fengge Wang, Qiang Guo, Xiaoquan Li:
  Control information flow with transformation in complex networks. SKIMA 2016: 404-409
• 2015
• 
  Sina S. Baghsorkhi, Sergey P. Suetin:
  Embedding AC Power Flow with Voltage Control in the Complex Plane : The Case of Analytic Continuation via Padé Approximants. CoRR abs/1504.03249 (2015)
• 2014
• 
  Rasha Salah Omar, Ahmed El-Mahdy, Erven Rohou:
  Arbitrary control-flow embedding into multiple threads for obfuscation: a preliminary complexity and performance analysis. SCC@ASIACCS 2014: 51-58
• 
  Nadia Chaabane Fakhfakh, Cyril Briand, Marie-José Huguet:
  A Multi-Agent Min-Cost Flow problem with Controllable Capacities - Complexity of Finding a Maximum-flow Nash Equilibrium. ICORES 2014: 27-34
• 2013
• 
  Po-Kai Huang, Xiaojun Lin, Chih-Chun Wang:
  A Low-Complexity Congestion Control and Scheduling Algorithm for Multihop Wireless Networks With Order-Optimal Per-Flow Delay. IEEE/ACM Trans. Netw. 21(2): 495-508 (2013)
• 2012
• 
  Jurgen J. Vinju, Michael W. Godfrey:
  What Does Control Flow Really Look Like? Eyeballing the Cyclomatic Complexity Metric. SCAM 2012: 154-163
• 2011
• 
  Eelke van Foeken, Maurice R. J. A. E. Kwakkernaat:
  Low-complexity wireless communication modeling for information flow control in sensor networks. FUSION 2011: 1-7
• 
  Po-Kai Huang, Xiaojun Lin, Chih-Chun Wang:
  A low-complexity congestion control and scheduling algorithm for multihop wireless networks with order-optimal per-flow delay. INFOCOM 2011: 2588-2596
• 
  Laura Sánchez-González, Francisco Ruiz, Félix García, Jorge S. Cardoso:
  Towards thresholds of control flow complexity measures for BPMN models. SAC 2011: 1445-1450
• 2010
• 
  Antonio Brasiello, Erasmo Mancusi, Lucia Russo, Silvestro Crescitelli:
  Complex Dynamics and Chaos in a Hybrid System Modeling a Controlled Reverse Flow Reactor. Int. J. Bifurc. Chaos 20(7): 2097-2108 (2010)
• 
  Chengying Mao:
  Control Flow Complexity Metrics for Petri Net-based Web Service Composition. J. Softw. 5(11): 1292-1299 (2010)
• 
  Xiaodong Fu, Ping Zou, Yuqian Ma, Ying Jiang, Kun Yue:
  A Control-Flow Complexity Measure of Web Service Composition Process. APSCC 2010: 712-716
• 2009
• 
  Elvira Rolón Aguilar, Jorge S. Cardoso, Félix García, Francisco Ruiz, Mario Piattini:
  Analysis and Validation of Control-Flow Complexity Measures with BPMN Process Models. BMMDS/EMMSAD 2009: 58-70
• 2008
• 
  Jorge S. Cardoso:
  Business Process Control-Flow Complexity: Metric, Evaluation, and Validation. Int. J. Web Serv. Res. 5(2): 49-76 (2008)
• 
  Sergio Saponara, Francesco Vitullo, Riccardo Locatelli, Philippe Teninge, Marcello Coppola, Luca Fanucci:
  LIME: A Low-latency and Low-complexity On-chip Mesochronous Link with Integrated Flow Control. DSD 2008: 32-35
• 2007
• 
  David Van Horn, Harry G. Mairson:
  Relating complexity and precision in control flow analysis. ICFP 2007: 85-96
• 
  Seongmin Noh, Daehyun Kim, Vu-Duc Ngo, Hae-Wook Choi:
  Performance and Complexity Analysis of Credit-Based End-to-End Flow Control in Network-on-Chip. ISPA 2007: 268-277
• 
  Yusuke Hiromatsu, Hisayasu Kuroda:
  Vectorizing Method for Complex Control Flow with SIMD Instruction Set. Software Engineering Research and Practice 2007: 203-209
• 2006
• 
  Jorge S. Cardoso:
  Process control-flow complexity metric: An empirical validation. IEEE SCC 2006: 167-173

skipping 17 more matches