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. …”

Anatomically plausible segmentations: explicitly preserving topology through prior deformations by Wyburd, MK, Dinsdale, NK, Jenkinson, M, Namburete, AIL

“…Therefore, there is a need for new methods to focus on ensuring segmentations are topologically correct. In this work, we present TEDS-Net: a segmentation network that preserves anatomical topology whilst maintaining segmentation performance that is competitive with SOTA baselines. …”

Measurement of brain structures based on statistical and geometrical 3D segmentation by ángel, M, Ballester, G, Zisserman, A, Brady, M

“…In this paper we present a novel method for three-dimensional segmentation and measurement of volumetric data based on the combination of statistical and geometrical information. …”

The four facets of self-collection service for e-commerce delivery : conceptualisation and latent class analysis of user segments by Wang, Xueqin, Wong, Yiik Diew, Teo, Chee Chong, Yuen, Kum Fai, Feng, Xuehao

“…Based on the conceptualisation, five latent segments of the service are identified, which are labelled as Patrons, Traditionalists, Self-enhancers, Green-lovers and Haters (from the largest to the smallest segment). …”
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Surface wave interaction with a vertical viscoelastic barrier by Bi, Cheng, Wu, Mao See, Law, Adrian Wing-Keung

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'It hurts my heart': Afghan women in London negotiating family relationships and (im)mobility regimes across borders by Ryan, Louise, López, María E., Rasa, Mursal

“…Paying attention to the specificities of spatial contexts and infrastructures in framing opportunities and obstacles to transnational care, we apply the concept of immobility regimes. Beyond a simple bi‐national focus on countries of origin and residence, we explore how the women navigate these regimes, across multiple countries and different visa regimes to arrange in‐person visits with geographically dispersed kin. …”
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Data-driven distributionally robust CVaR portfolio optimization under a regime-switching ambiguity set by Pun, Chi Seng, Wang, Tianyu, Yan, Zhenzhen

“…Methodology/Results: This paper models the nonstationarity by a regime-switching ambiguity set. In particular, we incorporate the time-varying feature of the stochastic environment into the traditional Wasserstein ambiguity set to build our regime-switching ambiguity set. …”
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Optimum transmitter current distribution for dynamic wireless power transfer with segmented array by Jayathurathnage, Prasad Kumara Sampath, Alphones, Arokiaswami, Vilathgamuwa, D. Mahinda, Ong, Andrew

“…The misalignment problem is a major challenge in dynamic wireless power transfer systems with a segmented transmitter (Tx) array. Tx coils farther away from receiver (Rx) experience higher currents as compared to Tx coils nearer to Rx coil leading to higher losses and lower performances. …”
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Dual attention deep learning network for automatic steel surface defect segmentation by Pan, Yue, Zhang, Limao

“…Experimental results show that, compared with other deep learning models, DAN-DeepLabv3+ based on the Xception backbone exhibits the best segmentation performance under the mean intersection over union (IoU) of 89.95% and the frequency-weighted IoU of 97.34%. …”
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CRCNet: few-shot segmentation with cross-reference and region–global conditional networks by Liu, Weide, Zhang, Chi, Lin, Guosheng, Liu, Fayao

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Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets by Soh, Wei Kwek, Rajapakse, Jagath Chandana

“…HUT achieves higher Dice scores and reduced Hausdorff Distance scores in single-modality and multi-modality lesion segmentation. HUT outperforms the state-the-art network SPiN in the single-modality MRI segmentation on Anatomical Tracings of lesion After Stroke (ATLAS) dataset by 4.84% of Dice score and a large margin of 40.7% in the Hausdorff Distance score. …”
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