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Springer Vienna




Recent publications latest 20 shown

  • 2021-12-10 Automated and non-intrusive provenance capture with UML2PROV
  • 2021-12-02 Bonus computing: towards free-of-charge metacomputing in the public cloud
  • 2021-11-30 Improving the stability of label propagation algorithm by propagating from low-significance nodes for community detection in social networks
  • 2021-11-09 Coupling multifunction drones with AI in the fight against the coronavirus pandemic
  • 2021-11-07 A fault-tolerant time-triggered scheduling algorithm of mixed-criticality systems
  • 2021-11-05 An ontology-based deep belief network model
  • 2021-10-20 Bearing fault diagnosis based on improved federated learning algorithm
  • 2021-10-19 Optimization of heterogeneous systems with AI planning heuristics and machine learning: a performance and energy aware approach
  • 2021-10-19 Future directions for chatbot research: an interdisciplinary research agenda
  • 2021-10-10 Identification of trustworthy cloud services: solution approaches and research directions to build an automated cloud broker
  • 2021-10-08 Deep neural network learning for power limited heterogeneous system with workload classification
  • 2021-10-08 Consensus in anonymous asynchronous systems with crash-recovery and omission failures
  • 2021-10-05 Mining location based social networks to understand the citizen’s check-in patterns
  • 2021-09-28 An improved grasshopper optimization algorithm based on dynamic dual elite learning and sinusoidal mutation
  • 2021-09-21 A fuzzy arithmetic-based analytical reliability assessment framework (FAARAF): case study, cognitive radio vehicular networks with drivers
  • 2021-09-21 Congestion avoidance in wireless sensor network using software defined network
  • 2021-09-15 A survey on meta-heuristic algorithms for the influence maximization problem in the social networks
  • 2021-09-15 Interference Aware Workload Scheduling for Latency Sensitive Tasks in Cloud Environment
  • 2021-09-14 A data fusion based data aggregation and sensing technique for fault detection in wireless sensor networks
  • 2021-09-03 A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming models
  • JSON-LD is the canonical representation for SciGraph data.

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    Computing publishes original papers, short communications and surveys on all fields of computing. The contributions should be written in English and may be of theoretical or applied nature, the essential criteria are computational relevance and systematic foundation of results.

    Subjects include

    • autonomic, adaptive, dependable computing
    • \u00a0parallel computing
    • services computing and cloud computing
    • green computing
    • internet computing
    • business process computing\u00a0
    • software evolution and mining
    • architectural concepts for systems
    • network science, social networks, collective intelligence


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