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Ankush Aggarwal and Sanjay Pant
Finding roots of equations is at the heart of most computational science. A well-known and widely used iterative algorithm is Newton?s method. However, its convergence depends heavily on the initial guess, with poor choices often leading to slow converge...
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S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio and Hideki Asai
Gradient-based methods are popularly used in training neural networks and can be broadly categorized into first and second order methods. Second order methods have shown to have better convergence compared to first order methods, especially in solving hi...
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Hossein R. Najafabadi, Tiago G. Goto, Mizael S. Falheiro, Thiago C. Martins, Ahmad Barari and Marcos S. G. Tsuzuki
Topology optimization (TO) of engineering products is an important design task to maximize performance and efficiency, which can be divided into two main categories of gradient-based and non-gradient-based methods. In recent years, significant attention ...
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Xiaoyu Han, Chenyu Li, Zifan Wang and Guohua Liu
Neural architecture search (NAS) has shown great potential in discovering powerful and flexible network models, becoming an important branch of automatic machine learning (AutoML). Although search methods based on reinforcement learning and evolutionary ...
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Andrew S. Thelen, Dean E. Bryson, Bret K. Stanford and Philip S. Beran
The simultaneous optimization of aircraft shape and internal structural size for transonic flight is excessively costly. The analysis of the governing physics is expensive, in particular for highly flexible aircraft, and the search for optima using analy...
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Tanweer Alam
Pág. 18 - 26
Background: The wireless networks make it easier for users to connect with each other in the sense of the Internet of Things (IoT) system. The cloud and MANET convergence offer the services for cloud access within MANET of devices connected.Objective: Th...
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Li Wang, Xiaosong Yang and Jianjun Zhang
For video style transfer, naively applying still image techniques to process a video frame-by-frame independently often causes flickering artefacts. Some works adopt optical flow into the design of temporal constraint loss to secure temporal consistency....
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Dimitra Anevlavi and Kostas Belibassakis
Much work has been done over the past years to obtain a better understanding, predict and alleviate the effects of cavitation on the performance of lifting surfaces for hydrokinetic turbines and marine propellers. Lifting-surface sheet cavitation, when a...
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Lev Utkin, Andrey Ageev, Andrei Konstantinov and Vladimir Muliukha
A new modification of the isolation forest called the attention-based isolation forest (ABIForest) is proposed for solving the anomaly detection problem. It incorporates an attention mechanism in the form of Nadaraya?Watson regression into the isolation ...
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Hatef Dastour and Quazi K. Hassan
Having a complete hydrological time series is crucial for water-resources management and modeling. However, this can pose a challenge in data-scarce environments where data gaps are widespread. In such situations, recurring data gaps can lead to unfavora...
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Romain Hottois, Arnaud Châtel and Tom Verstraete
Numerical optimization methods are widely used for designing turbomachinery components due to the cost and time savings they can provide. In the available literature, the shape optimization of radial compressors mainly focuses on improving the impeller a...
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Yuhang Ma, Jiecheng Du, Tihao Yang, Yayun Shi, Libo Wang and Wei Wang
Robust optimization design (ROD) is playing an increasingly significant role in aerodynamic shape optimization and aircraft design. However, an efficient ROD framework that couples uncertainty quantification (UQ) and a powerful optimization algorithm for...
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Simão Marques, Lucas Kob, Trevor T. Robinson and Weigang Yao
This work presents a strategy to build reduced-order models suitable for aerodynamic shape optimisation, resulting in a multifidelity optimisation framework. A reduced-order model (ROM) based on a discrete empirical interpolation (DEIM) method is employe...
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Mohsen Rostami, Julian Bardin, Daniel Neufeld and Joon Chung
Recent development in Electric Vertical Take-off and Landing (eVTOL) aircraft makes it a popular design approach for urban air mobility (UAM). When designing these configurations, due to the uncertainty present in semi-empirical estimations, often used f...
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Lotta Kannari, Jussi Kiljander, Kalevi Piira, Jouko Piippo and Pekka Koponen
Accurate short-term forecasts of building energy consumption are necessary for profitable demand response. Short-term forecasting methods can be roughly classified into physics-based modelling and data-based modelling. Both of these approaches have their...
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Xiangdong Sun, Lijun Lu, Li Qi, Yingjie Mei, Xiaoyun Liu and Wufan Chen
Electrical properties provide essential information for cancer detection and specific absorption rate (SAR) estimation. Magnetic resonance electrical properties tomography (MREPT) is an approach to retrieve the distribution of electrical properties. The ...
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Chen-Yuan Chung
Plastic lenses are light and can be mass-produced. Large-diameter aspheric plastic lenses play a substantial role in the optical industry. Injection molding is a popular technology for plastic optical manufacturing because it can achieve a high productio...
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Eric S. Hendricks and Justin S. Gray
Aviation researchers are increasingly focusing on unconventional vehicle designs with tightly integrated propulsion systems to improve overall aircraft performance and reduce environmental impact. Properly analyzing these types of vehicle and propulsion ...
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Behzad Asadieh and Abbas Afshar
The Charged System Search (CSS) metaheuristic algorithm is introduced to the field of water resources management and applied to derive water-supply and hydro-power operating policies for a large-scale real-world reservoir system. The optimum algorithm pa...
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Lasse Mueller and Tom Verstraete
The adjoint method is considered as the most efficient approach to compute gradients with respect to an arbitrary number of design parameters. However, one major challenge of adjoint-based shape optimization methods is the integration into a computer-aid...
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