Colour transfer between images by Khor, Zi Yun

“…Additionally, the report will study the effectiveness of colour transfer when semantic image segmentation using a pre-trained neural network is used.…”
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The old newspaper project by Mao, Junke

“…The integrated model will perform object segmentation to extract the relevant components in the image, i.e., the headlines, embedded figures, etc, and performs OCR on these components accordingly. …”
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Characterization and identification of Oya virus, a Simbu serogroup virus of the genus Bunyavirus, isolated from a pig suspected of Nipah virus infection by Kono, Y., Yusnita, Y., Mohd Ali, A. R., Maizan, M., Sharifah, S. H., Fauzia, O., Kubo, M., Aziz, A. J.

“…The sequence data of the product revealed that the partial gene of Oya virus S-RNA segment had 65-70% homology with published cDNA sequences of Simbu serogroup viruses. …”

On efficient solution of large-size wire-grid structures in a complex environment by Lee, Yee Hui.

“…In this study, four numerical techniques (1) wavelet transform method (WTM) (2) modified fast multipole method (MFMM) (3) adaptive segmentation method (ASM) (4) weak coupling suppression method (WCSM) for the efficient solution of large-size electromagnetic (EM) problems have been studied. …”
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A study on the motivating factors and marketing strategies that affect donations to Singapore-based charities. by Lee, Jenevie Yu Ling., Ong, Yi Ning., Su, Han-Inn.

“…We hope fundraisers can use this knowledge to target the appropriate segment of the population. A descriptive study was conducted using research instruments such as secondary data collection, interviews and surveys. …”
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A model of intonational phonology of Singapore Malay by Diyana Hamzah

“…Taking into consideration the influence of segmental structure and information structure on the intonational contour, this study aims to develop a more comprehensive model of the intonational phonology of Singapore Malay within the Autosegmental-Metrical framework. …”
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Online OCR (optical character recognition) using NVIDIA Jetson platform by Joshua Kurniawan

“…Then it seeks to explain the process of feature extraction and text segmentation. Finally, the report explains the result of OCRTesseract when multiple variable in the images is change.…”
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Object recognition and pose estimation in robotic grasping system by Zhou, Jiadong

“…Specifically, two problems addressed in the system are: i) identification and segmentation of the objects in the scene images with a fully convolutional neural network called YOLO, and ii) determination of the objects’ 6D poses by performing geometry-based methods on the point clouds. …”
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A boundary-fragment-model for object detection by Opelt, A, Pinz, A, Zisserman, A

“…The generative aspect of the model is used to determine an approximate segmentation.</p> <p>We demonstrate the following results: (i) the BFM detector is able to represent and detect object classes principally defined by their shape, rather than their appearance; and (ii) in comparison with other published results on several object classes (airplanes, cars-rear, cows) the BFM detector is able to exceed previous performances, and to achieve this with less supervision (such as the number of training images).…”

SHREC’21: Quantifying shape complexity by Arslan, Mazlum Ferhat, Haridis, Alexandros, Rosin, Paul L., Tari, Sibel, Brassey, Charlotte, Gardiner, James D., Genctav, Asli, Genctav, Murat

“…The dataset consists of three collections: 1800 perturbed cube and sphere models classified into 4 categories, 50 shapes inspired from the fields of architecture and design classified into 2 categories, and the data from the Princeton Segmentation Benchmark, which consists of 19 natural object categories. …”
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A novel framework for making dominant point detection methods non-parametric by Leung, Maylor Karhang, Quek, Chai, Cho, Siu-Yeung, Prasad, Dilip K.

“…This paper uses a theoretical bound of the maximum deviation of pixels obtained by digitization of a line segment for constructing a general framework to make most dominant point detection methods non-parametric. …”
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Deep learning for scene flow estimation on point clouds: a survey and prospective trends by Li, Zhiqi, Xiang, Nan, Chen, Honghua, Zhang, Jianjun, Yang, Xiaosong

“…Furthermore, this paper investigates various higher-level scene understanding tasks, including object tracking, motion segmentation, etc. and concludes with an overview of foreseeable research trends for scene flow estimation.…”
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An optimization-driven approach for computing geodesic paths on triangle meshes by Liu, Bangquan, Chen, Shuangmin, Xin, Shi-Qing, He, Ying, Liu, Zhen, Zhao, Jieyu

“…A typical way to solve this problem is to iteratively shorten one segment of the path at a time. As local approaches, they are conceptually simple and easy to implement, but they converge slowly and have poor performance on large scale models. …”
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State and faith: the supply-side theory of religion and the case of Turkey by Gurses, Mehmet, Fox, Jonathan, Öztürk, Ahmet Erdi

“…Results from a series of public opinion surveys conducted between 2010 and 2020 show that the AKP rule has caused the religious segment of Turkish society to consolidate around AKP and secular sections to consolidate around the opposition, leading to a significant polarization within the country. …”

Foreign exchange prediction and trading using low-shot machine learning by Faris Ahmad Ishak

“…This technique has been applied to image databases to further segment and create forecasting figures. In this paper, a financial dataset is converted and built into an image database of 5 feature classes. …”
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Causalqa: a causal framework for question answering by Dutta, Angshuk

“…Neural networks have proven their success in various fundamental applications such as object detection, image segmentation, image and text generation and several NLP tasks. …”
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Recognition of human actions by Xiao, Xu

“…Based on it, modification was implemented; instead of using whole MHI image to get Hu Moments, the MHI image of human body is segmented into 4 body parts – head, arm, torso and leg. …”
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Market outlook of VLCCs in the next 5 years by Cheah, Peifang.

“…This can be achieved by segmenting the market into 5 bands based on historical Time Charter Equivalent (TCE) namely very weak, weak, steady, strong and very strong condition and a forecast of the strength of the freight market will be derived (ie the band the market will fall in). …”
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Is this a good time to invest in Panamax tankers? by Lim, Daryl Sze Hng.

“…The paper carried out historical trend analyses and evaluated the current supply and demand of Panamax tankers in the market. Also, a segment on trend indicators was analysed using the correlation coefficient method together with scatter diagrams to derive patterns between the decision to invest into a Panamax tanker and the chosen variables. …”
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Speech enhancement using auditory-based spectral amplitude estimators by Sekar Sathiya Narayanan.

“…The proposed estimator is applied to the noisy speech signal to obtain the enhanced speech signal and the objective measures of speech quality such as the segmental SNR (SNRseg) and the log-likelihood-ratio (LLR) are obtained. …”
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