Grouting in rock cavern - a case study by Chew, Wei Kwang

“…We then make use of the increasingly popular Artificial Neural Network (ANN) to establish a model based on the data mined from OT1-2, in order to predict the volume of grout needed for OT0-1C. …”
Get full text

Data for iTRAQ profiling of micro-vesicular plasma specimens : in search of potential prognostic circulatory biomarkers for Lacunar infarction by Datta, Arnab, Sze, Siu Kwan

“…Bioinformatics analysis and data mining revealed upregulation of brain-specific proteins including myelin basic protein, proteins of coagulation cascade (e.g., fibrinogen alpha chain, fibrinogen beta chain) and focal adhesion (e.g., integrin alpha-IIb, talin-1, and filamin-A) while albumin was downregulated in both groups of patients with adverse outcome. …”
Get full text
Get full text

A management framework for sudden water pollution: a systematic review output by Bello, Nura, Jamil, Nor Rohaizah, Looi, Ley Juen, Yap, Ng Keng

“…The results indicated industries, mining sites, and sewage treatment plants as key SWP contributors through accidental leakages, traffic accidents, illegal discharge, natural disasters, and terrorist attacks. …”

Machine learning-based approaches for large-scale temporal data analytics by Seyed Ali Majid Zonoozi

“…The proposed concept tracking method applies to problem settings that cannot be handled by existing concept drift and stream mining methods, and outperforms popular unsupervised baselines from the wider Data Mining and Machine Learning literature. …”
Get full text
Get full text
Get full text

Predictive modeling of gold prices: integrating technical indicators for enhanced accuracy by Husiani, Noor Aida, Gan, Yee Jing, Ghazali, Rozaida, Mohmad Hassim, Yana Maswin, Yap, Jie Shen, Joseph, Jerome Subash

Get full text

Dynamic interaction networks in a hierarchically organized tissue by Kirouac, Daniel C., Ito, Caryn, Csaszar, Elizabeth, Roch, Aline, Yu, Mei, Sykes, Edward A., Bader, Gary D., Zandstra, Peter W.

“…By integrating high‐throughput molecular profiling, database and literature mining, mechanistic modeling, and cell culture experiments, we show that secreted factor‐mediated intercellular communication networks regulate blood stem cell fate decisions. …”
Get full text

Modeling and control of an air handling unit using dynamic fuzzy neural networks by Kothandaraman Neelanarayanan.

“…After the introduction of the Artificial Intelligence (Al), their concepts are getting popular in every aspect of engineering, manufacturing, knowledge discovery systems and data mining applications. Here in our work, Artificial Intelligence concepts are being applied to model and control the Air Handling units to have better control and include intelligence to such control systems. …”
Get full text

Age group classification via face images by Lee, Lai Soon.

“…FG-Net and Morph are used as the training and testing data base. Web image mining is used to further increase the data base. …”
Get full text

"Better is never better for all” : a study of feminist dystopia in Atwood’s The Handmaid’s Tale and Lessing’s The Marriages between Zones Three, Four, and Five ; as narrated by The... by Eliza, Isa

“…I like to think that if someone’s read a book of mine, they’ve had—I don’t know what—the literary equivalent of a shower. …”
Get full text

Economics and econophysics in the era of Big Data by Cheong, Siew Ann

“…In this article, I use the story of Kepler's discovery of his three laws of planetary motion to enlarge the framework of the scientific approach, from one that focuses on experimental sciences, to one that accommodates observational sciences, and further to one that embraces data mining and machine learning. I distinguish between the ontological values of Kepler's Laws vis-a-vis Newton's Laws, and argue that the latter is more fundamental because it is able to explain the former. …”
Get full text
Get full text

Cross-modal retrieval: a review of methodologies, datasets, and future perspectives by Han, Zhichao, Azman, Azreen Bin, Rina Binti Mustaffa, Mas, Binti Khalid, Fatimah

“…Consequently, there is a pressing need for cross-modal retrieval technology. Its purpose is to mine the connection between different modal samples, that is, to retrieve another modal sample with approximate semantics through one modal sample. …”
Get full text

AI/ML enabled automation system for software defined disaggregated open radio access networks: transforming telecommunication business by Kumar, Sunil

Get full text

Predictive analytics of crude oil prices by utilizing the intelligent model search engine by Bekiroglu, Korkut, Duru, Okan, Gulay, Emrah, Su, Rong, Lagoa, Constantino

“…Considering the ultimate objective of forecasting models, any variations of models may be tested in the out-of-sample period, and the optimization problem can be redefined as minimization of post-sample error metric in a validation set. By this, data mining would be a legitimate operation for economic forecasting, and it also proves required conditions usually tested by diagnostic tests such as Akaike Information Criterion for model quality. …”
Get full text

Computational history : from big data to big simulations by Nanetti, Andrea, Cheong, Siew Ann

“…The second section of the chapter presents a complex network, data-driven approach to mining historical sources and supporting the perennial historical chase for truth. …”
Get full text

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

“…Sentiment analysis has been a hot research topic in natural language processing and data mining fields in the last decade. Recently, deep neural network (DNN) models are being applied to sentiment analysis tasks to obtain promising results. …”
Get full text

Extracting time expressions and named entities with constituent-based tagging schemes by Zhong, Xiaoshi, Cambria, Erik, Hussain Amir

“…Time expressions and named entities play important roles in data mining, information retrieval, and natural language processing. …”
Get full text

Aggregating and analyzing Indian political tweets by Chirag Ruhela

“…The author’s final year project is a part of the Twitter Data Analysis project which aims to gain insight into Indian politics using data from Twitter Stream and applying NLP and Data Mining Techniques to the same. For developing an analytical engine which does said things, historical as well as current data about Indian Politics has to be analysed by building mathematical models to uncover patterns and correlations and be able to understand political events and upheavals. …”
Get full text

Speed studies in Singapore by Teo, Boon Fang

“…Through statistical analysis, my partner Luan Yuanfeng and I investigate the effectiveness of these various measures, with mine being to focus on physical speed reduction measures. …”
Get full text

Exploring the roles of mitochondrial-associated microRNAs of head and neck cancer stem cells in drug resistance and tumor recurrence by Zhu, Xiaoning, Subha, Sethu Thakachy, Fong, Voon Hoong, Tan, Wee Lin, Cheah, Yoke Kqueen

“…First, 18 mitochondrial-associated miRNAs of head and neck cancer stem cells were identified from the MitoCarta3.0 database, head and neck squamous cell carcinoma data in the TCGA database, and cancer stem cell surface markers of HNC by bioinformatic analysis. Then, the data mining determined let-7c-5p, the potential mitochondrial-associated miRNA of head and neck cancer stem cells related to drug resistance and tumor recurrence. …”
Get full text

Removal of arsenic from aqueous solution by various natural soil-based adsorbents by Fairuz, Farah Shahirah Mohd

“…Rapid industrialization, mining and agricultural activities lead to the release of contaminants such as arsenic (As) into the water sources that causes adverse effect to living organism. …”
Get full text