UnknownSa, Pankaj Kumar
Springer International Publishing (Cham, Switzerland , 2018) (eng) English9783319996264Studies in Computational Intelligence1st ed.ENGINEERING; UnknownThis book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are approached as technological drivers to enable autonomous reasoning and decision-making in complex distributed environments. Part of the book is also devoted to new scheduling and resource allocation methods for distributed computing systems. The book represents the peer-reviewed proceedings of the 12th International Symposium on Intelligent Distributed Computing (IDC 2018), which was held in Bilbao, Spain, from October 15 to 17, 2018.
Physical dimension
1 online resource (xxii, 579 p.)Unknownill. (in col.)
Summary / review / table of contents
Part I: Main Track -- Long distance in-links for ranking enhancement --
Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency --
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures --
Slot Co-allocation Optimization in Distributed Computing with Heterogeneous Resources --
About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework --
Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform --
Finding Best Compiler Options for Critical Software Using Parallel Algorithms --
Drift Detection over Non-stationary Data Streams using Evolving Spiking Neural Networks --
Part II: Energy --
A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms --
Bio-inspired approximation to MPPT under real irradiation conditions --
Part III: Industry --
Decision Making in Industry 4.0 Scenarios supported by Imbalanced Data Classification.