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  1. 261

    Blockchain opportunities in the maritime industry liner industry by Muhammad Imran Md Zin

    Published 2019
    “…With minimal research and mostly circulated news articles, there’s minimal analysis and consolidation on this technological development, especially in the liner industry. Hence, this paper aims to consolidate and analyse the developments of blockchain technology in the liner industry. …”
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    Final Year Project (FYP)
  2. 262

    Dataset for 'Quantitative CEST Imaging of Amide Proton Transfer in Acute Stroke': MAT files for figures of quantitative results by Msayib, Y

    Published 2017
    “…<br><br> The data can be loaded using the command load('fig_2') (using the data for Figure 2 as an example). Refer to the paper in order to identify what the error bars represent in each figure. …”
    Dataset
  3. 263

    Influence of knowledge, organisation culture and perceived characteristics of brand support behaviour policy mediated by social media adoption among microenterprise employees in Ma... by Halil, Nur Afni

    Published 2022
    “…Hence, the organisations will face potential risks, namely human error, processes, reputational, operation, regulatory compliance, and financial and information security. …”
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    Thesis
  4. 264

    Expression of recombinant geobacillus SP a-amylase in pichia pastoris GS 115 by Gandhi, Sivasangkary

    Published 2014
    “…Amylases are a group of enzymes which are significantly applied in food and beverages, detergent, paper and textiles industries. A thermophilic microorganism producing α-amylase for sustainable high temperature operation offer many advantages such as lowering the risk of microbial contamination during substrate degradation and increasing substrate solubility. …”
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    Thesis
  5. 265

    Two-dimensional layered materials meet perovskite oxides: a combination for high-performance electronic devices by Yang, Allen Jian, Wang, Su-Xi, Xu, Jianwei, Loh, Xian Jun, Zhu, Qiang, Wang, Renshaw Xiao

    Published 2023
    “…In particular, we focus on three types of attractive applications, namely field-effect transistors, memory, and neuromorphic electronics. …”
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    Journal Article
  6. 266

    Memes as building blocks : a case study on evolutionary optimization + transfer learning for routing problems by Feng, Liang, Ong, Yew-Soon, Tan, Ah-Hwee, Tsang, Ivor W.

    Published 2021
    “…The proposed approach is composed of four culture-inspired operators, namely, Learning, Selection, Variation and Imitation. …”
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    Journal Article
  7. 267

    Comparative spatial predictions of the locations of soil-rock interface by Qi, Xiaohui, Pan, Xiaohua, Chiam, Kiefer, Lim, Yong Siang, Lau, Sze Ghiong

    Published 2021
    “…To address this challenge, this paper presents a comparison study of four methods for spatially predicting the SRI elevation, namely the polynomial regression, spline interpolation, one-dimensional spline regression, and a Bayesian-based conditional random field. …”
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    Journal Article
  8. 268

    Effectiveness of R&D Capabilities Towards Operational Performance Moderated by Intellectual Property Rights by Anuar, Herman Shah, Zulhumadi, Faisal, Mohamed Udin, Zulkifli

    Published 2012
    “…Effective practice of internal R&D will give advantage to the firm in three different aspects namely ability to develop and grow critical human resources, dynamic involvement in the corporate R&D program and ability to connect information wise. …”
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    Conference or Workshop Item
  9. 269
  10. 270

    Learning hierarchical review graph representations for recommendation by Liu, Yong, Yang, Susen, Zhang, Yinan, Miao, Chunyan, Nie, Zaiqing, Zhang, Juyong

    Published 2022
    “…Therefore, they may not be effective in capturing the global dependency between words and tend to be easily biased by noise review information. In this paper, we propose a novel review-based recommendation model, named Review Graph Neural Network (RGNN). …”
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    Journal Article
  11. 271

    Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image by Ge, Chenkun, Yu, Xiaojun, Yuan, Miao, Fan, Zeming, Chen, Jinna, Shum, Perry Ping, Liu, Linbo

    Published 2024
    “…To alleviate the influences of speckles without requiring ground-truth images, this paper presents a self-supervised deep learning scheme, namely, Self2Self strategy (S2Snet), for OCT despeckling using a single noisy image. …”
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    Journal Article
  12. 272

    Decentralized multimedia data sharing in IoV: a learning-based equilibrium of supply and demand by Fan, Jiani, Xu, Minrui, Guo, Jiale, Shar, Lwin Khin, Kang, Jiawen, Niyato, Dusit, Lam, Kwok-Yan

    Published 2023
    “…We propose a time-sensitive Key-Policy Attribute-Based Encryption (KP-ABE) mechanism coupled with Named Data Networking (NDN) to protect data in IoVs, which adds a layer of security to our proposed solution. …”
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    Journal Article
  13. 273

    A finer-grain analysis of the leakage (non) resilience of OCB by Berti, Francesco, Bhasin, Shivam, Breier, Jakub, Hou, Xiaolu, Poussier, Romain, Standaert, François-Xavier, Udvarhelyi, Balasz

    Published 2023
    “…OCB3 is one of the winners of the CAESAR competition and is among the most popular authenticated encryption schemes. In this paper, we put forward a fine-grain study of its security against side-channel attacks. …”
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    Journal Article
  14. 274

    TriviA and uTriviA : two fast and secure authenticated encryption schemes by Chakraborti, Avik, Chattopadhyay, Anupam, Muhammad Hassan, Mridul Nandi

    Published 2020
    “…In this paper, we propose two hardware optimized authenticated encryption schemes: TriviA-v2 and uTriviA. …”
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    Journal Article
  15. 275

    Experimental and numerical investigations of press-braked stainless steel channel section beam-columns by Zhang, Lulu, Li, Shuai, Tan, Kang Hai, Zhao, Ou

    Published 2022
    “…The buckling behaviour and resistances of press-braked stainless steel channel section beam-columns under combined compression and minor-axis bending have been studied in the present paper through laboratory testing and numerical modelling. …”
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    Journal Article
  16. 276

    A unified framework of active transfer learning for cross-system recommendation by Zhao, Lili, Pan, Sinno Jialin, Yang, Qiang

    Published 2017
    “…Based on the framework, we propose three solutions by specifying three state-of-the-art collaborative filtering methods, namely Maximum-Margin Matrix Factorization, Regularized Low-rank Matrix Factorization, and Probabilistic Matrix Factorization. …”
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    Journal Article
  17. 277

    Energy efficient resource migration based load balance mechanism for high traffic applications IoT by Kumar, Sunil, Cengiz, Korhan, Vimal, Suresh, Suresh, A.

    Published 2022
    “…These frequent changes demand a new network architecture which supports future technologies and solves all these issues named as the proposal of networks defined by software. …”
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    Article
  18. 278
  19. 279

    Towards efficient video-based action recognition: context-aware memory attention network by Koh, Thean Chun, Yeo, Chai Kiat, Jing, Xuan, Sivadas, Sunil

    Published 2024
    “…A persistent challenge in this field is to develop more efficient models capable of real-time recognition with high accuracy for widespread implementation. In this research paper, we introduce a novel human action recognition model named Context-Aware Memory Attention Network (CAMA-Net), which eliminates the need for optical flow extraction and 3D convolution which are computationally intensive. …”
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    Journal Article
  20. 280