Semiconductive, one-dimensional, self-assembled nanostructures based on oligopeptides with π-conjugated segments by Sun, Yinghui, Jiang, Lin, Schuermann, Klaus C., Adriaens, Wencke, Zhang, Li, Boey, Freddy Yin Chiang, Cola, Luisa De, Brunsveld, Luc, Chen, Xiaodong

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Battle of sentiment lexicons: Wordnet, sentiwordnet, textblob and vader in web forum analysis by Ahmad Taufik, Nursal, Mohd Faizal, Omar, Mohd Nasrun, Mohd Nawi, Mohamad Sukeri, Khalid, Mohd Hanizun, Hanafi, Rafikullah, Deraman

“…Sentiment analysis plays a crucial role in assessing public perception across various sectors, including the high-rise property industry. …”
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Employee profiling via aspect-based sentiment and network for insider threats detection by Soh, Charlie, Yu, Sicheng, Narayanan, Annamalai, Duraisamy, Santhiya, Chen, Lihui

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ABCDM : an Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis by Basiri, Mohammad Ehsan, Nemati, Shahla, Abdar, Moloud, Cambria, Erik, Acharya, U. Rajendra

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Sentiment analysis of online news text : a case study of appraisal theory by Nourbakhsh, Armineh, Na, Jin-Cheon, Khoo, Christopher S. G.

“…Purpose – Sentiment analysis and emotion processing are attracting increasing interest in many fields. …”
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Development of a word segmentation algorithm for Myanmar language by U Tun Thura Thet

“…This study is to develop a word segmentation algorithm and solution for Myanmar language. …”
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The cinema industry in Singapore : a market segmentation exercise by Juan, Hee Meen, Tan, Winnie Bee Hong, Tan, Siew Yan

Subjects: “…DRNTU::Business::Marketing::Market segmentation…”
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Learning class-specific edges for object detection and segmentation by Prasad, M, Zisserman, A, Fitzgibbon, A, Kumar, MP, Torr, PHS

“…We illustrate its application to two algorithms: (i) chamfer matching for object detection, and (ii) modulating contrast terms in MRF based object-specific segmentation. We show that performance of both algorithms (matching and segmentation) is considerably improved by the class-specific edge labelling.…”

Characterization and application of natural and recombinant butelase-1 to improve industrial enzymes by end-to-end circularization by Hemu, Xinya, Zhang, Xiaohong, Nguyen, Giang K. T., To, Janet, Serra, Aida, Loo, Shining, Sze, Siu Kwan, Liu, Chuan-Fa, Tam, James P.

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Indonesia-Japan Economic Partnership Agreement (IJEPA): a response to a regime change. by Siti Tiefryani Fahlyah

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Rice stable carbon and nitrogen isotope values as potential indicators of watering and manuring regimes by Wu, R, Belfield, EJ, Dong, Y, Feng, S, Fu, X, Harberd, NP, Yang, F, Charles, M, Bogaard, A

It’s the state, indeed! How state capacity facilitates social equality in authoritarian regimes by Vaccaro, A, Panaro, AV

“…Empirical evidence suggests that contemporary authoritarian regimes face several incentives to redistribute social policy concessions to their citizens. …”

Mapping of sentiment analysis on food security among Malaysians using social media analytics by Rusli, Noradila, Lee, Yoke Lai, Rosley, Muhamad Solehin Fitry, Lee, Cher Enn, Hamzah, Maheran, Alias, Nurul Ezaila, Bahari, Noraini, Mamat, Mohd. Razif

“…The study investigates the spatial distribution of sentiment in food security-related tweets among Malaysians, aiming to identify hotspots of positive, negative, and neutral sentiments. …”
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FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML by Liu, Brian, Mazumder, Rahul

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Continual semantic segmentation via image and latent space consistency by Wang, Zhichao

“…In this thesis, my continual-learning research process is introduced in detail, including a novel method and two regulators, which contribute to anti-forgetting Result in continual learning in the semantic segmentation area. Firstly a real-time semantic segmentation model called ERFnet is evaluated, then based on this network and Cityscapes dataset, a model-recall method is proposed which could significantly reduce the catastrophic forgetting which happens in the process of continual learning in the semantic segmentation area; inspired by mentors, 2 regulators are also conducted which were expected to further improve performance (one regulator is come up by mentors and another is by myself). …”
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Segmentation and analysis of cement particles in cement paste with deep learning by Qian, Hanjie, Li, Ye, Yang, Jianfei, Xie, Lihua, Tan, Kang Hai

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Segment anything: real-time AI model interaction and visualization by Wang, Jingwei

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Automatic knee segmentation from multi-contrast MR images by Zhang, Kunlei

“…Also, the proposed cartilage segmentation scheme can be applied to the segmentation of other joint structures. …”
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The Japanese economy in crises : a time series segmentation study by Cheong, Siew Ann, Fornia, Robert Paulo, Lee, Gladys Hui Ting, Kok, Jun Liang, Yim, Woei Shyr, Xu, Danny Yuan, Zhang, Yiting

“…The authors performed a comprehensive time series segmentation study on the 36 Nikkei Japanese industry indices from 1 January 1996 to 11 June 2010. …”
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3D-aware instance segmentation and tracking in egocentric videos by Bhalgat, Y, Tschernezki, V, Laina, I, Henriques, JF, Vedaldi, A, Zisserman, A

“…Leveraging our tracked instance segmentations, we showcase downstream applications in 3D object reconstruction and amodal video object segmentation in these egocentric settings.…”