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

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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. …”
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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. …”
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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

“…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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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An Improved Model Opportunity Recognition for Graduate Entrepreneur Opportunity Using Web Content Analytics (S/O 13798) by Abu Bakar, Muhamad Shahbani, Yasin, Azman, Ta'a, Azman, Hassan, Syahida

“…This research will be conducted based on quantitative and data mining consists of problem identification, solution design and evaluation. …”
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The Use of Artificial Intelligence in Digital Marketing : Competitive Strategies and Tactics / by Teixeira, Sandrina, 1975-, editor 655945, Remondes, Jorge, 1971-, editor 655946, IGI Global (Online service) 631983

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Thermal test effect on fan-out wafer level package strength by Xu, Cheng, Zhong, Zhao Wei, Choi, W. K.

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Collision between soliton and polarization domain walls in fiber lasers by Hu, Xiao, Ma, J., Zhao, Luming, Guo, Jun, Tang, Dingyuan

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Benchmarking feed-forward randomized neural networks for vessel trajectory prediction by Cheng, Ruke, Liang, Maohan, Li, Huanhuan, Yuen, Kum Fai

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