Searched for: subject%3A%22modelling%22
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Yuan, Jiao (author), Zheng, Feifei (author), Duan, Huan Feng (author), Deng, Zhengzhi (author), Kapelan, Z. (author), Savic, Dragan (author), Shao, Tan (author), Huang, Wei Min (author), Zhao, Tongtiegang (author), Chen, Xiaohong (author)
Low-lying coastal cities are vulnerable to compound floods caused by many factors including river flows, tides and local rainfall. Many previous studies focus on the impacts of rainfall and tidal levels (two driving factors) on estuaries or regions near the main single river, while research about the three influencing factors on the floods...
journal article 2024
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Liu, Minne (author), Li, Wenyu (author), Chen, Wei (author), Ibrahim, Mesfin S. (author), Xiong, Jingkang (author), Zhang, Kouchi (author), Fan, Jiajie (author)
During the operation of an LED array, its thermal and optical performances are always not equal to the superposition of the individual LED's characteristics because of a significant thermal coupling effect between the arrays. Based on this, this paper proposes an electrical–photo-thermal model, with considering both junction temperature and...
journal article 2024
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Li, Tianzhi (author), Chen, Jian (author), Yuan, Shenfang (author), Zarouchas, D. (author), Sbarufatti, Claudio (author), Cadini, Francesco (author)
Fatigue damage prognosis always requires a degradation model describing the damage evolution with time; thus, the prognostic performance highly depends on the selection of such a model. The best model should probably be case specific, calling for the fusion of multiple degradation models for a robust prognosis. In this context, this paper...
journal article 2024
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Tan, Xinxin (author), Xiao, Shenbin (author), Yang, Yu (author), Khakzad, Nima (author), Reniers, G.L.L.M.E. (author), Chen, Chao (author)
Frequent unpredictable earthquake disasters such as the Turkey Earthquake in 2023 pose an increasing threat to oil tank farms since they may trigger major accidents and domino effects, resulting in casualties, economic losses, and environmental pollution. Unpredictable earthquakes are definitely difficult to prevent and thus resilience...
journal article 2024
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Li, Wenyu (author), Chen, Wei (author), Jiang, Jing (author), Wang, Wenbo (author), Fan, Xuejun (author), Zhang, Kouchi (author), Fan, Jiajie (author)
Thermal management has always played a significant role in power module design. Double-sided heat dissipation is more efficient at transferring heat than the traditional package. Although there are several thermal modeling approaches to power modules, the application of the numerical models, which are computationally fast and accurate, has...
conference paper 2024
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Chen, B. (author)
In recent years, considerable attention has been given to the utilization of municipal solid waste incineration (MSWI) bottom ash as a mineral resource for construction materials. MSWI bottom ash is the primary residue discharged after incinerating municipal solid waste. The generation of MSWI bottom ash is increasing dramatically with the wide...
doctoral thesis 2023
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Li, Wanda (author), Xu, Zhiwei (author), Sun, Yi (author), Gong, Qingyuan (author), Chen, Y. (author), Ding, Aaron Yi (author), Wang, Xin (author), Hui, Pan (author)
Outstanding users (OUs) denote the influential, 'core' or 'bridge' users in online social networks. How to accurately detect and rank them is an important problem for third-party online service providers and researchers. Conventional efforts, ranging from early graph-based algorithms to recent machine learning-based approaches, typically rely on...
journal article 2023
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Ottati, F. (author), Gao, Chang (author), Chen, Qinyu (author), Brignone, Giovanni (author), Casu, Mario R. (author), Eshraghian, Jason K. (author), Lavagno, Luciano (author)
As deep learning models scale, they become increasingly competitive from domains spanning from computer vision to natural language processing; however, this happens at the expense of efficiency since they require increasingly more memory and computing power. The power efficiency of the biological brain outperforms any large-scale deep...
journal article 2023
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Chen, Kequan (author), Knoop, V.L. (author), Liu, Pan (author), Li, Zhibin (author), Wang, Yuxuan (author)
Lane-changing (LC) in congested traffic has been identified as a trigger for the sudden deceleration behavior of the new follower in the target lane, leading to severe traffic disturbances. Thus, investigating the response of the new follower to an LC maneuver is an important research topic in the literature. To date, numerous efforts have...
journal article 2023
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Evans, Barry (author), Lam, Arthur (author), West, Charles (author), Ahmadian, Reza (author), Djordjević, Slobodan (author), Chen, Albert (author), Pregnolato, M. (author)
With the increase of the frequency and severity of flooding events, coupled with population growth, the risks posed to people from flooding is ever more apparent. This paper proposes a methodology to examine the risks posed to vehicles' occupants and pedestrians simultaneously in an urban context. Through considering stability functions of a...
journal article 2023
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Chen, G. (author), Zhang, Ke (author), Wang, Sheng (author), Jia, T. (author)
Physically-based hydrological-geotechnical modeling at large scales is difficult, especially due to the time-consuming nature of flow routing and 3D soil stability models. Although parallelization techniques are commonly used for each model individually, there is currently no concurrent parallelization strategy for both. This study proposed...
journal article 2023
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Piadeh, Farzad (author), Behzadian, Kourosh (author), Chen, Albert S. (author), Kapelan, Z. (author), Rizzuto, Joseph P. (author), Campos, Luiza C. (author)
This study presents a novel approach for urban flood forecasting in drainage systems using a dynamic ensemble-based data mining model which has yet to be utilised properly in this context. The proposed method incorporates an event identification technique and rainfall feature extraction to develop weak learner data mining models. These models...
journal article 2023
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Tong, Liang-yu (author), Xiong, Qing Xiang (author), Zhang, Zhidong (author), Chen, Xiangsheng (author), Ye, G. (author), Liu, Qing feng (author)
This paper develops a novel lattice diffusive model to quantitatively study the chloride diffusion coefficient in unsaturated cementitious materials, in which the pore voxels are redistributed to make a better representation of a real microstructure of hardened cement paste. Considering the hierarchical microstructure and different drying...
journal article 2023
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Ghiassi, S. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Learning robust deep models against noisy labels becomes ever critical when today's data is commonly collected from open platforms and subject to adversarial corruption. The information on the label corruption process, i.e., corruption matrix, can greatly enhance the robustness of deep models but still fall behind in combating hard classes....
conference paper 2023
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Li, Wenyu (author), Chen, Wei (author), Jiang, Jing (author), Tang, H. (author), Fan, J. (author)
Double-sided packages for heat dissipation are an efficient thermal management mechanism for power semiconductor devices. A fan-out panel-level packaging (FOPLP), as one of the double-sided forms, exhibits excellent electro–thermal characteristics and provides low stray inductance and thermal resistance. Besides, the temperature at each point...
journal article 2023
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Wang, Hanyu (author), Chen, Dengkai (author), Huang, Y. (author), Zhang, Yahan (author), Qiao, Yidan (author), Xiao, Jianghao (author), Xie, Ning (author), Fan, Hao (author)
This study aimed to enhance the real-time performance and accuracy of vigilance assessment by developing a hidden Markov model (HMM). Electrocardiogram (ECG) signals were collected and processed to remove noise and baseline drift. A group of 20 volunteers participated in the study. Their heart rate variability (HRV) was measured to train...
journal article 2023
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Chen, Tiantian (author), Ye, Shi (author), Oviedo-Trespalacios, O. (author), Sze, N. N. (author)
With the increasing use of ride-hailing apps, concerns have arisen regarding road safety and driver distraction. Despite the recognized safety risks of driver distraction, limited research has explored how distractions from various ride-hailing systems affect drivers in the taxi industry. The research utilized a driving simulator experiment...
conference paper 2023
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Zou, Tao (author), Niu, Xinbo (author), Ji, Xingda (author), Chen, X. (author), Tao, Longbin (author)
In marine environment, floating photovoltaic (FPV) plants are subjected to wind, wave and current loadings. Waves are the primary source of fatigue damage for FPVs. The climate change may accumulatively affect the wave conditions, which may result in the overestimation or underestimation of fatigue damage. This paper aims to present a...
journal article 2023
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Kumbul, U. (author), Chen, Yue (author), Petrov, N. (author), Silveira Vaucher, C. (author), Yarovoy, Alexander (author)
Mutual interference in the frequency modulated continuous wave (FMCW) radar is studied, and the influence of the FMCW interference on the beat frequency is analyzed. An analytical expression for the victim radar received signal spectrum is derived. Different interference scenarios are investigated by means of interference impact on the range...
conference paper 2023
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Li, Z. (author), Chen, Y. (author), Provis, John L. (author), Cizer, Özlem (author), Ye, G. (author)
This paper provides a critical review on autogenous shrinkage of alkali-activated slag (AAS). It is reported that AAS paste, mortar, and concrete generally show larger autogenous shrinkage than Portland cement (PC) counterparts. Self-desiccation is the main driving force of the autogenous shrinkage of hardened AAS, but other mechanisms also...
review 2023
Searched for: subject%3A%22modelling%22
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