Optimization of the thermal performance of building double-skin envelope by Chua, Wei Jin

“…Therefore, to slow down the rise in the mean global temperature, a double-skin roof technology was used to reduce the heat produced by the sun from getting into the building. When less heat gets into the building, thermal comfort can be achieved much easily and also reducing the usage of air-conditioner. …”
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Phase transitions by an abundant protein in the anammox extracellular matrix mediate cell-to-cell aggregation and biofilm formation by Seviour, Thomas, Wong, Lan Li, Lu, Yang, Mugunthan, Sudarsan, Yang, Qiaohui, Chanda Segaran, Uma Shankari, Bessarab, Irina, Liebl, David, Williams, Rohan B. H., Law, Yingyu, Kjelleberg, Staffan

“…Furthermore, the surface layer protein formed gels as well as ordered crystalline structures. These observations suggest that biophysical remodeling through phase transitions promotes aggregation and biofilm formation. …”
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Dynamic swimming pattern of Pseudomonas aeruginosa near a vertical wall during initial attachment stages of biofilm formation by Khong, Nicole Zi-Jia, Zeng, Yukai, Lai, Soak-Kuan, Koh, Cheng-Gee, Liang, Zhao-Xun, Chiam, Keng-Hwee, Li, Hoi-Yeung

“…We found that P. aeruginosa (PAO1) increases its speed and changes its swimming angle drastically when it gets closer to a wall. In contrast, ΔdipA mutant moves toward the wall with steady speed without changing of swimming angle. …”
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Synthesis and optical characterization of cadmium sulfide (CdS) single crystals for laser cooling effect by Zhang, Chiyuan

“…By analyzing those crystals using optical spectroscopy, the author gets the Stokes spectroscopy and anti-Stokes spectroscopy as well as its dependence relationship figure between peak densities and exciting laser power. …”
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Multi-scale and multiphase modeling of abrasive flow machining process with experimental validation by Mohamed Adel Abdelhakem Amen

“…The flexibility and nature of the AFM tool introduce considerable complexity to evaluate the abrasion action, its material removal (MR), the particle forces, and the detailed rules controlling this particle-surface interaction. The process gets more complex for irregular shapes to the workpiece surface and the abrasive particle which is the real case. …”
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Enhancement of photoacoustic imaging systems for biomedical applications by Sharma, Arunima

“…DL relies on supervised learning, i.e., the network gets trained on pre-defined dataset to solve practical problems on new data. …”
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Properties and mechanism of strain and piezoelectricity of hybrid molecular ferroelectrics by Hu, Yuzhong

“…In summary, this thesis presents the discovery of a new OIHF (PTMA)CdBr3xCl3(1-x) which gets both colossal shear strain and piezoelectric responses. …”
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The effects of atmosphere-ocean-wave coupling during tropical cyclone by Garg, Nikhil

“…Within this coupled system, it can be thought that the ocean waves generated at the sea surface are due to the momentum transfer from atmosphere, which subsequently gets transferred to ocean. This transfer of momentum (from atmosphere to ocean) is not a one-way link, i.e., there are feedback effects from ocean (both in terms of enthalpy and momentum) on the atmospheric boundary layer. …”
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Development of resistive random access memory for next-generation embedded non-volatile memory application by Sun, Jianxun

“…Besides, the variability of the forming voltage also gets improved by more than 50%. On the contrary, the inhibition effect of the negative voltage is observed for the set process, which implies that the role of the negative voltage varies with the state of the device. …”
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Extreme learning machines for feature learning by Liyanaarachchi Lekamalage, Chamara Kasun

“…Hence this thesis extends ELM for feature learning. This thesis introduces an ELM based feature learning framework with linear hidden layer activation function referred to as linear Extreme Learning Machine Auto-Encoder (ELM-AE) and linear Sparse Extreme Learning Machine Auto-Encoder (SELM-AE); ELM-AE and SELM-AE with sigmoid hidden layer activation function referred to as non-linear ELM-AE and non-linear SELM-AE. …”
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Indoor occupancy estimation using environmental parameters by Masood, Khalid Mustafa

“…The FS-ELM is in fact a novel architecture of the ELM, in which a feature layer is added to the standard ELM. …”
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Weighted online sequential extreme learning machine for class imbalance learning by Lin, Zhiping, Mirza, Bilal., Toh, Kar-Ann.

“…In this paper, we propose a weighted online sequential extreme learning machine (WOS-ELM) algorithm for class imbalance learning (CIL). …”
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Short-term load forecasting by wavelet transform and evolutionary extreme learning machine by Li, Song, Wang, Peng, Goel, Lalit

“…Each component of the load series is then separately forecasted by a hybrid model of ELM and MABC (ELM-MABC). The global search technique MABC is developed to find the best parameters of input weights and hidden biases for ELM. …”
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Extreme learning machine based fast object recognition by Xu, Jiantao, Zhou, Hongming, Huang, Guang-Bin

“…Besides, the parameter tuning process for ELM is much easier than SVM as well.…”
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Sequential learning for extreme learning machine by Liang, Nanying

“…A novel sequential learning algorihtm for training Single Hidden Layer Feedforward Neural Network (SLFN), Online Sequential Extreme Learning Machine (OS-ELM) is proposed. OS-ELM is based on the combination of Extreme Learning Machine (ELM) and the recursive least-squares (RLS) algorithm. …”
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Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

“…The ELM auto-encoder (ELM-AE) is adopted for feature extraction and feature fusion, and an ELM classifier is ultilized for the final classification. …”
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Enhanced extreme learning machines for image classification by Cui, Dongshun

“…Among numerous machine learning methods, we choose the Extreme Learning Machine (ELM) for our image classification applications. …”
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Development of localization algorithms for a WiFi based indoor positioning system with machine learning techniques by Lu, Xiaoxuan

“…We model the indoor positioning problem under a non-parametric stochastic framework, and modify the well-known ML tool, extreme learning machine (ELM), to achieve the above goal. Firstly, under the assumption that noises merely lie in input data, we modify ELM by introducing a dead zone, which is called DZ-ELM, and integrate it into our IPS. …”
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Extreme learning machine based speaker recognition by Hu, Zongjiang.

“…Finally and most importantly, the performance of ELM and SVM will be compared. With the results shown in Chapter 6, we can draw the conclusion that ELM is superior to SVM in terms of tuning simplicity, time efficiency and testing accuracy.…”
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ADC architectures for low power analog machine learning by David Bose, Christin

“…First, a 1-bit ADC (current comparator) is designed for application in a novel ELM based conditional branch prediction system designed for pipelined processors. …”
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