Portfolio optimization with percentage error-based fuzzy random data for industrial production by Othman, Mohammad Haris Haikal, Arbaiy, Nureize, Che Lah, Muhammad Shukri, Lin, Pei-Chun

“…The efficacy of this approach is demonstrated in agricultural planning, evaluating five distinct industrial production types: Agriculture, Mining, Manufacturing, Electricity, and Water. The findings underscore the effectiveness of the proposed methodology in managing uncertainties, reducing errors in model development stages, and providing a robust framework for optimal portfolio selection tailored to industrial production contexts, thereby enhancing decision-making processes in uncertain environments.…”
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Language and ‘postcolonial shame': the politics of policy, curriculum and classroom practices in urban India by Gupta, M

“…The chapters explore ‘hidden agendas’ (Shohamy 2005) in policy, ‘hidden curriculum’ (Jackson 1968; Apple 2009) practices and, in some cases, ‘erased curriculum’ (term mine) to study language socialisation in the classroom and language attitudes of shame and pride amongst students.…”

Quantum computing and quantum neural networks: their foundation, optimisation, and application by Pointing, J

“…We explore the application of quantum computers by constructing a quantum algorithm to solve a real-world problem in the mining industry. We provide a mapping for this problem onto a quantum circuit and run simulator and hardware experiments to find solutions to small-scale instances of the problem, which is the first attempt to apply such quantum algorithms to this mining problem. …”

Calibrating DFT Formation Enthalpy Calculations by Multifidelity Machine Learning by Gong, Sheng, Wang, Shuo, Xie, Tian, Chae, Woo Hyun, Liu, Runze, Shao-Horn, Yang, Grossman, Jeffrey C.

“…The multifidelity model is also used as a data-mining approach to find how DFT deviates from experiments by explaining the model output.…”
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Machine learning for money laundering detection by Huang, Peng

“…With the development of technology, machine learning and data mining techniques have been adopted in the anti-money laundering system. …”
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FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML by Liu, Brian, Mazumder, Rahul

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Predictive analysis of stock prices using gated recurrent neural network by Chew, Athena Yee Jun

“…Daily trading data, technical indicators and macroeconomic variables would be mined, calculated fed to the machine learning models to predict stock prices. …”
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Feature importance network reveals novel functional relationships between biological features in Arabidopsis thaliana by Ng, Jonathan Wei Xiong, Chua, Swee Kwang, Mutwil, Marek

“…The detected linked features are visualised as a Feature Important Network (FIN), which can be mined to reveal a variety of novel biological insights pertaining to gene function. …”
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Discontinuous deformation analysis for subsidence of fractured formations under seepage: a case study by Gao, Jingyao, Wang, Wei, Tang, Yiyang, Fan, Hongyun

“…To this concern, this study implemented the Hydro-Mechanical Coupled Discontinuous Deformation Analysis (HM-DDA) in a groundwater recycling project located at a goaf mining site. The method for establishing numerical stratigraphic models and determining the required numerical parameters is introduced. …”
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Characterization of Microbial Primary and Secondary Metabolism in the Marine Realm by Geller-McGrath, David Edward

“…In my second chapter, I applied genome mining tools to analyze the gene content and expression of biosynthetic gene clusters (BGCs). …”
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Distilling crowd knowledge from software-specific Q&A discussions for assisting developers’ knowledge search by Chen, Chunyang

“…So I propose to shift from the document (information) search to entity (knowledge) search by mining the implicit knowledge from tags in Stack Overflow to render direct answers to developers instead of asking them to read lengthy documents. …”
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Design of machine learning based face recognition system by Yeo, Alvin Jin Kuang

“…This approach uses a novel online triplet mining method to train on triplets that optimizes the embeddings of the face images through a deep convolutional network. …”
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Active learning for ontological event extraction incorporating named entity recognition and unknown word handling by Han, Xu, Kim, Jung-jae, Kwoh, Chee Keong

“…Background: Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled data, which are required for state-of-the-art supervised learning systems. …”
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Learning Bregman distance functions for semi-supervised clustering by Wu, Lei., Hoi, Steven C. H., Jin, Rong., Zhu, Jianke., Yu, Nenghai.

“…Learning distance functions with side information plays a key role in many data mining applications. Conventional distance metric learning approaches often assume that the target distance function is represented in some form of Mahalanobis distance. …”
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Discovery and characterization of hevein-like peptides in functional food and medicinal plants by Tay, Stephanie Victoria Choo Gek

“…The second part focuses on data mining using bioinformatics to identify 1204 novel HLPs from 252 plant families. …”
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Sentiment analysis on yelp reviews by Wong, Hong Yong

“…Sentiment analysis, also known as opinion mining, is used to systematically identify, quantify, and study affective states expressed by someone towards a topic or phenomenon. …”
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Short text classification by Nagarajan, Divya

“…The fundamental text mining techniques fail to achieve high accuracy because the short texts are much shorter, nosier and sparser. …”
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Information visualization of ageing genomics data of human and model organisms by Poluru Mastan, Nayana Rao

“…It is highly applied in scientific research, digital libraries, data mining, financial data analysis, market studies, manufacturing production control, drug discovery etc. …”
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A Bayesian approach to privacy enforcement in android system by Lee, Kang En

“…This problem is then dissected using Bayesian data mining, leveraging on the Bayesian classifier which uses supervised learning and statistical correlation to impact a good performance latency. …”
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Knowledge-based reactive planning and re-planning – a case-study approach by Djemai, Ramzi, Vassilev, Vassil, Ouazzane, Karim, Dey, Maitreyee

“…Such constraints apply to office and residential buildings, airports, mining sites, stadiums, ships, etc. Although some indoor spatial models have been developed, many are complex, and their applicability is non-universal. …”
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