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Toitos, Christos (author)Electrical stimulation has emerged as a promising therapeutic modality for the treatment of various neurological disorders such as Parkinson's disease, chronic pain, epilepsy, and depression. In addition, recent studies have provided evidence supporting the effectiveness of electrical stimulation as a treatment option for patients with chronic...master thesis 2023
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Nollen, Jacco (author)Strict regulations for carbon emissions from ships are introduced by the IMO and the EU. Various emission mitigation measures and low-emission fuel strategies provide solutions to reduce carbon emissions. This paper compares emission mitigation measures and low-emission fuel strategies for short-sea ships, within the constraints of regulatory...master thesis 2023
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Wang, Xia (author), Yuan, Jiachen (author), You, K. (author), Ma, Xianrui (author), Li, Zhaoji (author)The International Energy Agency (IEA) emphasizes that using real building energy use data (RBEUD) to reflect the actual condition of buildings and inform policy-making is the most effective way to reduce buildings’ carbon emissions. However, based on IEA’s evaluation, regional and national building stock data are limited and lacking. Especially...journal article 2023
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Zhou, Yuekuan (author), Liu, Zhengxuan (author)Transition towards a carbon-neutral district energy community calls for carbon elimination and offsetting strategies, and phase change materials (PCMs) with substantial potential latent energy density can contribute significantly to carbon neutrality through both carbon-positive (like PCM-based thermal control in solar PVs) and carbon...review 2023
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Visser, Mirjam (author), Schoormans, J.P.L. (author)To reduce energy consumption of households, many appliances contain eco-settings, which when used, reduce energy consumption. However, the effectivity of the eco-settings in reducing energy consumption is hardly tested. Other design for sustainable behaviour strategies like coercion and feedback might be more effective. To test the...journal article 2023
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Ogugua, C.J. (author), Anton, S.V. (author), Tripathi, A.P. (author), Larrabeiti, Miguel Dominguez (author), van Hees, S.O. (author), Sinke, J. (author), Dransfeld, C.A. (author)Autoclave curing is one of the most energy consuming processes in manufacturing carbon fibre reinforced polymers. In order to improve the energy efficiency, one needs to understand energy usage in an autoclave and factors that influence it. This work presents two thermodynamic based models for estimating energy consumption in an autoclave....journal article 2023
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Moposita, Tatiana (author), Garzon, Esteban (author), Crupi, Felice (author), Trojman, Lionel (author), Vladimirescu, A. (author), Lanuzza, Marco (author)This brief deals with the impact of spin-transfer torque magnetic random access memory (STT-MRAM) cell based on double-barrier magnetic tunnel junction (DMTJ) on the performance of a two-layer multilayer perceptron (MLP) neural network. The DMTJ-based cell is benchmarked against the conventional single-barrier MTJ (SMTJ) counterpart by means...journal article 2023
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Brychkov, Dmitry (author), Goggins, Gary (author), Doherty, Edelle (author), Romero Herrera, N.A. (author), Roudil, Nadine (author), Di Trani, Antonella (author), Singh, A. (author), Smit, Sander (author), McLoughlin, Eilish (author)Schools are complex physical and social institutions within national education systems. They account for significant energy consumption and like other buildings can demonstrate inefficient patterns of energy use. Poor energy performance of educational facilities is an intricate issue driven by complex causality of interconnected and dynamic...journal article 2023
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Xin, Jianbin (author), Wei, Liuqian (author), D'Ariano, Andrea (author), Zhang, Fangfang (author), Negenborn, R.R. (author)Operations of Automated Guided Vehicles (AGVs) are desired to be more energy-efficient while maintaining high transport productivity, motivated by the green production requirements. This paper investigates a new energy-efficient planning problem for determining conflict-free paths of the AGVs in its transport roadmap. In this problem, the...journal article 2023
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Katare, D. (author), Ding, Aaron Yi (author)Connected vehicular services depend heavily on communication as they frequently transmit data and AI models/weights within the vehicular ecosystem. Energy efficiency in vehicles is crucial to keep up with the fast-growing demand for vehicular data processing and communication. To tackle this rising challenge, we explore approximation and edge AI...conference paper 2023
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Halder, Subir (author), Ghosal, Amrita (author), Conti, M. (author)Networks of Unmanned Aerial Vehicles (UAVs) are emerging in many application domains, e.g., military surveillance. To perform collaborative tasks, the involved UAVs exchange several types of information, e.g., sensor data and commands. The major question here is how to schedule the tasks under dynamic traffic flows to provide network services...journal article 2023
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Stoopman, Sam (author)What exactly causes the emergence of the attitude-behaviour gap, and to what extent, is not fully understood. Previous academic research has shown that many barriers to adoption remain, and that difficulty lies in the heterogeneity of consumers. Through the use of a simulation model this thesis explores the emergence of the attitude-behaviour...master thesis 2022
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Banerjee, I. (author)In a dynamic or disruptive situation, such as disasters, a fully mobile and decentralized infrastructure-less network seems to be a viable option for communication. Citizens are confronted with challenges such as complicated deployment of these networks, resource-constrained mobile phones and mobility. This requires communication networks to...doctoral thesis 2022
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CHATTERJEE, TRISHITA (author)The population of the world is increasing at a rapid rate and is expected to reach 9.7billion by 2050. Out of this, around 6.3billion people will be living in urban areas. With an ever increasing population, the demand for energy and resources is also increasing. It is becoming difficult to meet these demands with the existing supply conditions....master thesis 2022
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Groot Beumer, Morris (author)Recent advancements in causal inference and machine learning research have brought forward methods to estimate effects of interventions from observational data. The augmented inverse probability weighted (AIPW) estimator is such a method, which can be used to obtain estimates of potential outcomes. Potential outcomes are defined as a...master thesis 2022
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Tomy Pulikunnel Ashwin, Tomy (author)Indonesia has ambitious targets to reduce its greenhouse gas emissions by 29 to 41% by 2030 and to achieve net-zero emissions by 2060. The residential sector in Indonesia consumes close to fifty percent of the country’s overall electricity demand. In the last decade, the residential demand for power has doubled, indicating a substantial rise. As...master thesis 2022
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El Ouasgiri, Mohammed (author)In this thesis, we use data science / statistical techniques to better understand the energy consumption behind a powder drying facility located in Zwolle, as part of Abbott's initiative to better manage its energy consumption. As powder drying is by far the facility's most energy intensive process, this project therefore focuses exclusively on...master thesis 2022
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Uijl, Mark Jan (author)The residential energy consumption and energy affordability are crucial in policy design, with regard to energy efficiency and energy poverty. This has become even more relevant now, as the energy transition is taking off and the energy prices are soaring. Given the inequality in the energy consumption and energy affordability, it is therefore...master thesis 2022
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Peretto, Marco (author)Energy poverty, understood as a situation in which one household is not able to afford essential domestic energy services, is a phenomenon spread throughout Europe. In the following study, the Republic of Serbia will be considered specifically. The latter is, as other Western Balkan countries, affected by inefficient dwellings and housing...master thesis 2022
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Boers, Milo (author)Nonintrusive Load Monitoring (NILM) can be used to disaggregate household energy<br/>usage collected from a central meter to the level of individual appliances, but has so far mostly been applied in controlled, small-scale settings. Further potential such as the application for energy efficiency classification and management have remained...master thesis 2022