DEEP SENSING: INERTIAL AND AMBIENT SENSING FOR ACTIVITY CONTEXT RECOGNITION USING DEEP CONVOLUTIONAL NEURAL NETWORKS

Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition Using Deep Convolutional Neural Networks

With the widespread use of embedded sensing capabilities of mobile devices, there has been unprecedented development of context-aware solutions.This allows the proliferation of various intelligent applications, such as those for remote health and lifestyle monitoring, intelligent personalized services, etc.However, activity context recognition base

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Species composition of the free living multicellular invertebrate animals (Metazoa: Invertebrata) from the Bulgarian sector of the Black Sea and the coastal brackish basins

A total of 19 types, 39 classes, 123 orders, 470 families and 1537 species are known from the Bulgarian Black Sea.They include 1054 species (68.6%) of marine and marine-brackish forms and 508 species (33.0%) of freshwater-brackish, freshwater and terrestrial forms, connected with water.Five types (Nematoda, Rotifera, Annelida, Arthropoda and Mollus

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