Fermentation studies of stored cocoa beans by Abdul Samah, O., Ibrahim, N., Alimon, H., Abdul Karim, M.I.

“…Acetic and lactic acid bacteria on fermented cocoa beans were maximally 2.0×106 and 1.9×106 c.f.u.…”

Effects of incubation and polyphenol oxidase enrichment on colour, fermentation index, procyanidins and astringency of unfermented and partly fermented cocoa beans by Misnawi, Jinap, S., Jamilah, B., Nazamid, S.

“…Fermentation index and (-)-epicatechin content, equivalent to those of fully fermented beans, were reached by unfermented beans after 4-8-h incubation, but not by partly fermented beans even after 16 h. …”
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Segmental reporting in Singapore by Goh, Eddie Guan Chua, Jong, Voon Hoo, Kwong, Choong Kuen

“…The two areas are (i) the comparability of segmental reports and (ii) the disclosure requirement of Statement ofAccountingStandard 23 (SAS 23). …”
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Segmental reporting in Singapore by Goh, Eddie Guan Chua, Jong, Voon Hoo, Kwong, Choong Kuen

“…The two areas are (i) the comparability of segmental reports and (ii) the disclosure requirement of Statement ofAccountingStandard 23 (SAS 23). …”
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Segmentation of histopathological images by Chia, Jason

“…This project aims to segment histopathological images of lung tissues into its constituents such as cells, nuclei and blood vessels so that the status of the patients can be determined.…”
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Interactive image segmentation by Tsoi, Lok Yin

“…The segmentation uses the constrained random walks algorithm, where foreground and background seeds are defined accordingly. …”
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Product optimization of a fed-batch fermentation process by Arshad, Ahmad, Noor Asma Fazli, Abdul Samad, Mohd Kamaruddin, Abd Hamid

“…This paper discusses the development of constrained optimization strategies for a fed-batch penicillin fermentation process. To facilitate the study, a mathematical model of the system is developed based on published materials, and simulated using MATLAB software. …”
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Efficient Segment Anything on the Edge by Stiles, Nicole

“…The Segment-Anything Model (SAM) is a vision foundation model facilitating promptable and zero-shot image segmentation. …”
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Development of an API for EDU segmentation by Liu, Qingyi

“…EDU stands for elementary discourse unit, which is a clause-like structure in a sentence. EDU segmentation, refers to determining the boundaries to split sentences into multiple EDUs. …”
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Pylon model for semantic segmentation by Lempitsky, V, Vedaldi, A, Zisserman, A

“…The experiments highlight the advantage of inference on a segmentation tree (over a flat partitioning) and demonstrate that the optimization in the pylon model is able to flexibly choose the level of segmentation across the image. …”

Feasibility study on mesophillic fermentation of tropical fruit waste into cleaning agents by Ng, Robin Pei Yi

“…A survey was conducted to determine the ergonomic considerations for the fermentation process. A recycling setup was designed and implemented based on the considerations to ferment the pineapple and durian fruit peels. …”
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Unsupervised multi-texture image segmentation by Neena Mittal

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Semantic segmentation with less annotation efforts by Zhang, Tianyi

“…Semantic segmentation is a pixel-wise classification task, which is to predict class label to every pixel within an image. …”
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Incremental learning technologies for semantic segmentation by Yang, Yizhuo

“…Semantic segmentation models based on deep learning technologies have achieved remarkable results in recent years. …”
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Chinese text segmentation for information retrieval by Li, Hui

“…Despite a host of word segmentation approaches and Chinese information systems that exist today, little work has been done to co-relate segmentation performance and IR effectiveness. …”
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Evaluation of watershed transform in image segmentation by Min Min Thein.

“…This dissertation develops the practical image processing toolbox, and related computer programs for the evaluation of watershed transform in image segmentation.…”
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Search by image : clothing segmentation and retrieval by Shi, Ganyu

“…We divide our system into two main stages: 1) Segmentation: We segment the query image into individual clothing classes, and use them as regions of interest for subsequent retrieval. 2) Retrieval: For each of the clothing item, we use image retrieval techniques to fetch visually similar products. …”
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Delving deeper into the whorl of flower segmentation by Nilsback, M, Zisserman, A

“…Performance is assessed against ground truth trimap segmentations. The algorithms is also compared to several previous approaches for flower segmentation.…”

An object category specific mrf for segmentation by Kumar, MP, Torr, PHS, Zisserman, A

“…In this chapter we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for combining top down and bottom up cues. …”

Image segmentation with minimal human supervision by Shin, G

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