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All Outputs (174)

FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation (2021)
Conference Proceeding

Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images. Most recent studies have c... Read More about FuzzyDCNN: Incorporating Fuzzy Integral Layers to Deep Convolutional Neural Networks for Image Segmentation.

Targeting Global Environmental Challenges by the Means of Novel Multimodal Transport: Concept of Operations (2021)
Conference Proceeding

Novel modes of transport form the basis of environmentally friendly and economically efficient transport system of the future. This paper introduces the feasibility study of a Dock to Dock (D2D) use case, combining aspects of route development and in... Read More about Targeting Global Environmental Challenges by the Means of Novel Multimodal Transport: Concept of Operations.

ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies (2021)
Conference Proceeding

We present ALTCAI, a Wizard of Oz Embodied Conversational Agent that has been developed to explore the use of interactive agents as an effective and engaging tool for delivering health and well-being advice to expectant and nursing mothers in Nigeria... Read More about ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies.

Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism (2021)
Conference Proceeding

Adoption of e-learning for those with special needs lags that for mainstream learners. Not much is known about barriers and facilitators that drive this disparity. The present study used focus groups and interviews to collect the views of 21 teachers... Read More about Teachers’ Perspectives on the Adoption of an Adaptive Learning System Based on Multimodal Affect Recognition for Students with Learning Disabilities and Autism.

Distributed Predictive Secondary Control for Voltage Restoration and Economic Dispatch of Generation for DC Microgrids (2021)
Conference Proceeding

DC microgrids ease the integration of renewables and can be easily put together with plug-and-play operation. However, most control techniques in DC microgrids focus on voltage regulation without considering its economical operation. Furthermore, the... Read More about Distributed Predictive Secondary Control for Voltage Restoration and Economic Dispatch of Generation for DC Microgrids.