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"Multi-Objective Service Composition in Uncertain Environments" by Ahmed Mostafa and Minjie Zhang

Web services have the potential to offer the enterprises with the ability to compose internal and external business services in order to accomplish complex processes. Service composition then becomes an increasingly challenging issue when complex and critical applications are built upon services with different QoS criteria. However, most of the existing QoS-aware service composition techniques are simply based on the assumption that multiple QoS criteria, no matter whether these multiple criteri...
Qos Aware Web Earning Artificial Intelligence Markov Processes Ulti Objective Composition Pareto Optimization Quality Of Service
Source: uow.edu.au

"An ensemble approach to deep-learning-based wireless indoor localizati" by Juthatip Wisanmongkol, Attaphongse Taparugssanagorn et al.

The authors investigate the use of deep learning in wireless indoor localization to address the shortcomings of the existing range-based (e.g. trilateration and triangulation) and range-free (e.g. fingerprinting) localization. Instead of relying on geometric models and hand-picked features, deep learning can automatically extract the relationship between the observed data and the target's location. Nevertheless, a deep neural network (DNN) model providing a satisfactory accuracy might perfo...
Indoor Communication Indoor Navigation Ndoor Radio Earning Artificial Intelligence
Source: uow.edu.au

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