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  • 1
    In: Water Resources Research, May 2006, Vol.42(5), pp.n/a-n/a
    Description: This paper presents a vision that advocates hydropedology as an advantageous integration of pedology and hydrology for studying the intimate relationships between soil, landscape, and hydrology. Landscape water flux is suggested as a unifying precept for hydropedology, through which pedologic and hydrologic expertise can be better integrated. Landscape water flux here encompasses the source, storage, flux, pathway, residence time, availability, and spatiotemporal distribution of water in the root and deep vadose zones within the landscape. After illustrating multiple knowledge gaps that can be addressed by the synergistic integration of pedology and hydrology, we suggest five scientific hypotheses that are critical to advancing hydropedology and enhancing the prediction of landscape water flux. We then present interlinked strategies for achieving the stated vision. It is our hope that by working together, hydrologists and pedologists, along with scientists in related disciplines, can better guide data acquisition, knowledge integration, and model‐based prediction so as to advance the hydrologic sciences in the next decade and beyond.
    Keywords: Catchment Hydrology ; Landscape Processes ; Scale ; Soil Hydrology ; Soil Physics ; Vadose Zone
    ISSN: 0043-1397
    E-ISSN: 1944-7973
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  • 2
    Language: English
    Description: EVA1 is describing a new class of emotion-aware autonomous systems delivering intelligent personal assistant functionalities. EVA requires a multi-disciplinary approach, combining a number of critical building blocks into a cybernetics systems/software architecture: emotion aware systems and algorithms, multimodal interaction design, cognitive modelling, decision making and recommender systems, emotion sensing as feedback for learning, and distributed (edge) computing delivering cognitive services.
    Keywords: Cognitive Models And Proactive Recommendations ; Emotion Awareness ; Emotional State Analysis ; Intelligent Assistants ; Iot ; Multi-Modal Interaction Design ; Neuromorphic Emotion Sensing ; Privacy Preserving Machine Learning ; Software
    ISBN: 9781450357395
    Source: NARCIS (National Academic Research and Collaborations Information System)
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