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Bonsignorio, Fabio (author), Hsu, David (author), Johnson-Roberson, Matthew (author), Kober, J. (author)Deep learning has gone through massive growth in recent years. In many fields—computer vision, speech recognition, machine translation, game playing, and others—deep learning has brought unprecedented progress and become the method of choice. Will the same happen in robotics and automation? In a sense, it is already happening. Today, deep...contribution to periodical 2020
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Zhang, T. (author), Ali, Abdallah El (author), Chen, C. (author), Hanjalic, A. (author), Cesar, Pablo (author)Recognizing user emotions while they watch short-form videos anytime and anywhere is essential for facilitating video content customization and personalization. However, most works either classify a single emotion per video stimuli, or are restricted to static, desktop environments. To address this, we propose a correlation-based emotion...journal article 2020
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van Natijne, A.L. (author), Lindenbergh, R.C. (author), Bogaard, T.A. (author)Nowcasting and early warning systems for landslide hazards have been implemented mostly at the slope or catchment scale. These systems are often difficult to implement at regional scale or in remote areas. Machine Learning and satellite remote sensing products offer new opportunities for both local and regional monitoring of deep-seated...journal article 2020
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Delgado Blasco, José Manuel (author), Cian, Fabio (author), Hanssen, R.F. (author), Verstraeten, Gert (author)Population growth in rural areas of Egypt is rapidly transforming the landscape. New cities are appearing in desert areas while existing cities and villages within the Nile floodplain are growing and pushing agricultural areas into the desert. To enable control and planning of the urban transformation, these rapid changes need to be mapped...journal article 2020
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Sapountzoglou, Nikolaos (author), Lago, Jesus (author), Raison, Bertrand (author)In this paper, a gradient boosting tree model is proposed to detect, identify and localize single-phase-to-ground and three-phase faults in low voltage (LV) smart distribution grids. The proposed method is based on gradient boosting trees and considers branch-independent input features to be generalizable and applicable to different grid...journal article 2020
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Castillo, Jose M.T. (author), Arif, Muhammad (author), Niessen, W.J. (author), Schoots, Ivo G. (author), Veenland, J.F. (author)Significant prostate carcinoma (sPCa) classification based on MRI using radiomics or deep learning approaches has gained much interest, due to the potential application in assisting in clinical decision-making. Objective: To systematically review the literature (i) to determine which algorithms are most frequently used for sPCa classification...journal article 2020
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De Cannière, Hélène (author), Corradi, Federico (author), Smeets, Christophe J.P. (author), Schoutteten, Melanie (author), Varon, Carolina (author), Van Hoof, Chris (author), Van Huffel, Sabine (author), Groenendaal, Willemijn (author), Vandervoort, Pieter (author)Cardiovascular diseases (CVD) are often characterized by their multifactorial complexity. This makes remote monitoring and ambulatory cardiac rehabilitation (CR) therapy challenging. Current wearable multimodal devices enable remote monitoring. Machine learning (ML) and artificial intelligence (AI) can help in tackling multifaceted datasets....journal article 2020
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Rushdi, Mostafa A. (author), Rushdi, Ahmad A. (author), Dief, Tarek N. (author), Halawa, Amr M. (author), Yoshida, Shigeo (author), Schmehl, R. (author)Kites can be used to harvest wind energy at higher altitudes while using only a fraction of the material required for conventional wind turbines. In this work, we present the kite system of Kyushu University and demonstrate how experimental data can be used to train machine learning regression models. The system is designed for 7 kW traction...journal article 2020
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Yap, M.D. (author), Cats, O. (author)Disruptions in public transport can have major implications for passengers and service providers. Our study objective is to develop a generic approach to predict how often different disruption types occur at different stations of a public transport network, and to predict the impact related to these disruptions as measured in terms of...journal article 2020
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van Duijvenbode, J.R. (author), Buxton, M.W.N. (author), Soleymani Shishvan, M. (author)Material attributes (e.g., chemical composition, mineralogy, texture) are identified as the causative source of variations in the behaviour of mineral processing. That makes them suitable to act as key characteristics to characterise and classify material. Therefore, vast quantities of collected data describing material attributes could help...journal article 2020
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Virgolin, M. (author), Wang, Ziyuan (author), Alderliesten, T. (author), Bosman, P.A.N. (author)The advent of Machine Learning (ML) is proving extremely beneficial in many healthcare applications. In pediatric oncology, retrospective studies that investigate the relationship between treatment and late adverse effects still rely on simple heuristics. To capture the effects of radiation treatment, treatment plans are typically simulated...conference paper 2020
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Nastasi, B. (author), Manfren, Massimiliano (author), Noussan, Michel (author)This pioneering Special Issue aims at providing the state-of-the-art on open energy data analytics; its availability in the different contexts, i.e., country peculiarities; and at different scales, i.e., building, district, and regional for data-aware planning and policy-making. Ten high-quality papers were published after a demanding peer...contribution to periodical 2020
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Pei, Zibo (author), Zhang, D. (author), Zhi, Yuanjie (author), Yang, Tao (author), Jin, Lulu (author), Fu, Dongmei (author), Cheng, Xuequn (author), Terryn, H.A. (author), Mol, J.M.C. (author), Li, Xiaogang (author)The atmospheric corrosion of carbon steel was monitored by a Fe/Cu type galvanic corrosion sensor for 34 days. Using a random forest (RF)-based machine learning approach, the impacts of relative humidity, temperature and rainfall were identified to be higher than those of airborne particles, sulfur dioxide, nitrogen dioxide, carbon monoxide...journal article 2020
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Lai, Marco (author), Skyrman, Simon (author), Shan, Caifeng (author), Paulussen, Elvira (author), Manni, Francesca (author), Swamy, A. (author), Babic, Drazenko (author), Edstrom, Erik (author), Persson, Oscar (author), Burstrom, Gustav (author), Elmi-Terander, Adrian (author), Hendriks, B.H.W. (author), De With, Peter H.N. (author)In neurosurgery, technical solutions for visualizing the border between healthy brain and tumor tissue is of great value, since they enable the surgeon to achieve gross total resection while minimizing the risk of damage to eloquent areas. By using real-time non-ionizing imaging techniques, such as hyperspectral imaging (HSI), the spectral...conference paper 2020
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Ke, Q. (author), Tian, X. (author), Bricker, J.D. (author), Tian, Zhan (author), Guan, Guanghua (author), Cai, Huayang (author), Huang, Xinxing (author), Yang, Honglong (author), Liu, Junguo (author)Urban pluvial flooding is a threatening natural hazard in urban areas all over the world, especially in recent years given its increasing frequency of occurrence. In order to prevent flood occurrence and mitigate the subsequent aftermath, urban water managers aim to predict precipitation characteristics, including peak intensity, arrival time...journal article 2020
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Li, X. (author), Li, Zhenghui (author), Fioranelli, F. (author), Yang, Shufan (author), Romain, Olivier (author), Le Kernec, Julien (author)Radar-based classification of human activities and gait have attracted significant attention with a large number of approaches proposed in terms of features and classification algorithms. A common approach in activity classification attempts to find the algorithm (features plus classifier) that can deal with multiple activities analysed in...journal article 2020
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Verhelst, H.M. (author), Stannat, A.W. (author), Mecacci, G. (author)Rapid advancements in machine learning techniques allow mass surveillance to be applied on larger scales and utilize more and more personal data. These developments demand reconsideration of the privacy-security dilemma, which describes the tradeoffs between national security interests and individual privacy concerns. By investigating mass...journal article 2020
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Hillege, Roderic H.L. (author), Lo, J.C. (author), Janssen, Christian P. (author), Romeijn, Nico (author)This paper investigates whether mental workload can be classified in an operator setting using unobtrusive psychophysiological measures. Having reliable predictions of workload using unobtrusive sensors can be useful for adaptive instructional systems, as knowledge of a trainee’s workload can then be used to provide appropriate training level...conference paper 2020
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Alsayyari, F.S. (author), Tiberga, M. (author), Perko, Z. (author), Lathouwers, D. (author), Kloosterman, J.L. (author)We use a novel nonintrusive adaptive Reduced Order Modeling method to build a reduced model for a molten salt reactor system. Our approach is based on Proper Orthogonal Decomposition combined with locally adaptive sparse grids. Our reduced model captures the effect of 27 model parameters on k<sub>eff</sub> of the system and the spatial...journal article 2020
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Timbergen, Milea J.M. (author), Starmans, Martijn P.A. (author), Padmos, Guillaume A. (author), Grünhagen, Dirk J. (author), van Leenders, Geert J.L.H. (author), Hanff, D. F. (author), Niessen, W.J. (author), Klein, S. (author), Visser, J.J. (author)Purpose: Diagnosing desmoid-type fibromatosis (DTF) requires an invasive tissue biopsy with β-catenin staining and CTNNB1 mutational analysis, and is challenging due to its rarity. The aim of this study was to evaluate radiomics for distinguishing DTF from soft tissue sarcomas (STS), and in DTF, for predicting the CTNNB1 mutation types....journal article 2020