Low temperature growth and characterization of carbon nanostructures by Ding, Yu

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Design of an intelligent sensor network for solar panels by Tan, Andy Weng Kiat.

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Improving system performance using microgrid energy storage systems by Lam, Yee Har.

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Virtual puppet B by Wang, Chenyu

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Performance study of routing protocols for wireless sensor network applications - 1 by Heng, Tian Hao

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Incorporating thermoelectric effect with solar power into solar panel by Lim, Esmund Qun Kai

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Locating earthquakes and underground nuclear explosions using applied optimization by Ding, William Si Hao

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Imaging fiber design for medical applications by Zhang, Meng

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A novel bearingless interior permanent magnet slice motor for pump* by Kant, Krishan, Weinreb, Benjamin S., Hegy, Michael, Gartner, Mark, Trumper, David L.

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Time-certified Input-constrained NMPC via Koopman Operator by Wu, Liang, Ganko, Krystian, Braatz, Ricahrd D

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3D object detection for autonomous vehicle by Wang, Yihan

“…3D object detection plays an important role in autonomous driving, while most state-of-the-art researches are developed based on 64-line LiDARs. However, the cost of high-resolution LiDARs are several magnitude higher than the low- resolution applied LiDARs on the makes the current research majority of low-cost robotics hard to be widely platforms. …”
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Design of a mechatronic system using Arduino Uno by Chong, Kok Leong

“…Therefore, this Final Year Project (FYP) aims to create a Line-Following robot using Arduino Uno that can autonomously pick up boxes autonomously in a warehouse. …”
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Design and verification of a fast low-dropout regulator for a high performance receiver chain targeting GNSS applications by Debaditya, Mullick

“…The design is then tested for DC analysis, stability analysis, load transient response, line transient response, load and line regulation and power supply ripple rejection. …”
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Development of engineering tools and design guidelines for FRP strengthened RC walls subject to near field blast loading by Fung, Tat Ching, Tan, Kang Hai, Werner Riedel, Yu, Qingjun, Del Linz, Paolo, Li, Gen, Tu, Huan

“…In this report D5, as a supplement, some additional cases of CFRP strengthened RC walls by uncased charge have also been studied for ANN analysis. Moreover, additional cases of CFRP strengthened RC walls using the large cased charge, denote as “device B”, have been studied. …”
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A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing by Zhan, Zhixin, Li, Hua

“…After that, the two commonly-used ML models including artificial neural network (ANN) and random forest (RF) are implemented to carry out fatigue life prediction. …”
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Highly precise modelling of resonant coils based on deep neural networks for wireless power transfer systems by Li, Zhaokun

“…Additionally, considering the data-fitting characteristics of AI algorithms, ANN and transfer learning is chosen to combine theoretical calculation data, FEA simulation data, and experimental measurement data, yielding a more accurate calculation model. …”
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Chebyshev Functional Link Neural Network-based modeling and experimental verification for photovoltaic arrays by Jiang, Lian Lian., Maskell, Douglas L., Patra, Jagdish C.

“…There are two basic approaches to build a model - use an analytical modeling technique or use an Artificial Neural Network (ANN) based method. However, both the analytical modeling technique and the traditional Multilayer Perceptron (MLP) model have some disadvantages. …”
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Robustness in stochastic filtering and maximum likelihood estimation for SDEs by Diehl, J, Friz, PK, Mai, H, Oberhauser, H, Riedel, S, Stannat, W

“…Our contribution (Crisan et al., Ann Appl Probab 23(5):2139–2160, 2013); Diehl et al., A Levy-area between Brownian motion and rough paths with applications to robust non-linear filtering and RPDEs (2013, arXiv:1301.3799; Diehl et al., Pathwise stability of likelihood estimators for diffusions via rough paths (2013, arXiv:1311.1061) changed to yes, in other words: well-posedness is restored, provided one is willing or able to regard observations as rough paths in the sense of T. …”

Influence of psychological and personal factors on predicting individual's thermal comfort in an office building using linear estimation and machine learning model by Muhammad Nafiz, Muhammad Nafiz, Shaikh Salim, Sheikh Ahmad Zaki, Nadarajah, Pravin Diliban, Singh, Manoj Kumar

“…For ML, training and evaluation have been done for five ML models: Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbour (KNN). …”

Live Verification in an Interactive Proof Assistant by Gruetter, Samuel, Fukala, Viktor, Chlipala, Adam

“…We present a prototype for a tool that enables programmers to verify their code as they write it in real-time. After each line of code that the programmer writes, the tool tells the programmer whether it was able to prove absence of undefined behavior so far, and displays a concise representation of the symbolic state of the program right after the added line. …”
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