Cloud detection and attenuation modelling in tropical region by Yuan, Feng

“…The improved model incorporates precipitable water vapor (PWV) value to estimate integrated liquid water content (ILWC), and then determine the cloud attenuation for the tropical region. From the analysis of 2 year radiosonde data from 8 cites in the tropical region, the results show that the ILWC along the path can be approximated by a power function relationship with the PWV. …”
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Regional planning situation report on Sri Lanka by Morapaya, R. B.

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Role of MNCs' regional headquarters (RHQs) in Singapore. by Chan, Carmen., Soh, Chia Yang., Tham, Ai Lien.

“…A study into the role of regional headquarters (RHQs) in Singapore, based on three case analyses.…”
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Missing Iridium : Enhancing Regional Nuclear Security by Caballero-Anthony, Mely, Trajano, Julius Cesar Imperial

Subjects: “…Country and Region Studies…”
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Regional headquarters of MNCs in the service industry in Singapore by Ramani Prabhu R Kalamohan, Lim, Wei Fong, Ng, Shah Ai

“…The purpose of this study is to perform an in-depth case analysis on Multi-National Corporations (MNCs) from the service sector which have set up Regional Headquarters (RHQs) in Singapore.…”
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Road capacity, domestic trade and regional outcomes by Coşar, AK, Demir, B, Ghose, D, Young, N

“…What is the impact on intra-national trade and regional economic outcomes when the quality and lane-capacity of an existing paved road network is expanded significantly? …”

Fostering motivation in TVET students: the role of learner-paced segments and computational thinking in digital video learning by Wan Nor Ashiqin Wan Ali, Wan Ahmad Jaafar Wan Yahaya, Syed Zulkarnain Syed Idrus, Mohd Noorul Fakhri Yaacob

“…This study aims to address this gap by examining how learner-paced predefined segments and CT algorithmic thinking can impact TVET students' perceived motivation. …”
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Modeling seasonal meteorological droughts in a data scarce arid region under climate change scenarios by Ahmed Kamal

Subjects: “…Arid regions climate—Research…”
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Uncertainty Quantification in Deep Learning Models of G-Computation for Outcome Prediction under Dynamic Treatment Regimes by Deng, Leon

“…G-Net is a neural network framework that implements g-computation, a causal inference method for making counterfactual predictions and estimating treatment effects under dynamic and time-varying treatment regimes. Two G-Net models have been successfully implemented: one that uses recurrent neural networks (RNNs) as its predictors, and one that uses transformer encoders (G-Transformer). …”
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The low overpotential regime of acidic water oxidation part II: trends in metal and oxygen stability numbers by Scott, Soren B., Sørensen, Jakob E., Rao, Reshma R., Moon, Choongman, Kibsgaard, Jakob, Shao-Horn, Yang, Chorkendorff, Ib

“…In this work, we investigate the stability of both the metal atoms and, by quantitative and highly sensitive 18O isotope labelling experiments, the oxygen atoms in a series of RuOx and IrOx electrocatalysts during the OER in the mechanistically interesting low overpotential regime. We show that materials based on RuOx have a higher dissolution rate than the rate of incorporation of labelled oxygen from the catalyst into the O2 evolved (“labelled OER”), while for IrOx-based catalysts the two rates are comparable. …”
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Nanyang venture formula 1: testing and performance evaluation of formula vehicle under FSAE on-track regime by Yip, Seng Han

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The infinite jest: Heri Dono's Punakawan and their metamorphosis throughout Indonesia's new order regime and reformasi era by Syakirah Aqilah Binte Sanusi

“…Ultimately, he privileges the metamorphosis of his punakawan to instil and embody the hopeful empowerment that the Indonesian public fought for in the late 1990s, from the New Order regime until the Reformasi era.…”
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A new hybrid algorithm for retinal vessels segmentation on fundus images by Dharmawan, Dhimas Arief, Li, Di, Ng, Boon Poh, Rahardja, Susanto

“…Automatic retinal vessels segmentation is an important task in medical applications. …”
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Deep learning approach to cervical segmentation from routine CT images by Duan, Yiming

“…Recently, techniques for 3D medical image segmentation have become increas ingly sophisticated. …”
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Audio segmentation for speech/non-speech detection using wavelet transform by Swe Zin Kalayar Khine.

“…In this project, the noisy audio signal is segmented into speech signal and non-speech signal (that is noise or silence). …”
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Multi-scale space smoothing and segmentation of range data for robot navigation by Tang, Fan

“…This algorithm smoothes range data and segments it at the same time by translating a model based mask over the data. …”
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Novel level set based statistical frameworks for segmentation of MR images by Mahshid Farzinfar

“…In summary, two automated frameworks for segmentation of medical images are proposed. They are the joint curve evolution and the EM-joint shape based algorithms. …”
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Medical image segmentation using random forest and convolutional neural networks by Duan, You

“…This dissertation found that Convolutional Neural Network (CNN) works well in the field of image segmentation. Random Forest (RF) can also obtain good results when processing image segmentation, but it will be affected by the image noise.…”
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Texture aware image segmentation using graph cuts and active contours by Zhou, Hailing, Zheng, Jianmin, Wei, Lei

“…The problem of segmenting a foreground object out from its complex background is of great interest in image processing and computer vision. …”
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Advancements in glioma segmentation: comparing the U-Net and DeconvNet models by Mohammed, AA, Gonzales, RA

“…In this study, we address the challenge of accurately segmenting gliomas from magnetic resonance imaging (MRI) scans, an essential task for treatment planning and prognosis in glioma patients. …”