Break-even analysis by Goh, Yah Huay, Loh, Pui Hoon, Tan, Hwee Tin

“…Break-even analysis is basically concerned with the exact ascertainment of profit thresholds (the break-even points), the requisite data preparation and further related analysis. …”
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Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training by Hosseini, Eghbal A., Schrimpf, Martin, Zhang, Yian, Bowman, Samuel, Zaslavsky, Noga, Fedorenko, Evelina

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Irradiance data analysis by Kwok, Ervin

“…Results show that the SMA inverter with 2 MPPTs built-in is the best performing inverter, with an even better performance in high variability situations. …”
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How data governance technologies can democratize data sharing for community well-being by Wu, Dan, Verhulst, Stefaan G., Pentland, Alex, Avila, Thiago, Finch, Kelsey, Gupta, Abhishek

“…But even though data sharing creates a counterbalancing democratizing force, it must nevertheless be approached cautiously. …”
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Data Sharing in Chemistry: Lessons Learned and a Case for Mandating Structured Reaction Data by Mercado, Rocío, Kearnes, Steven M, Coley, Connor W

“…While many of these developments have been made even with relatively small, bespoke data sets, in order to advance the role of AI in the field at scale, there must be significant improvements in the reporting of reaction data. …”
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Mining big spatial data by Lee, Ming Da

“…At present, this is achieved by performing spatial study to determine road traffic accident patterns followed by recognizing road location with high tendency of accidents. Even though spatial analysis is able to pinpoint road accident hotspot effectively, sole dependency on spatial analysis technique is insufficient when the desired analysis requires much larger data sets (i.e., comprising weather, time of the day, seasons, road wetness when the accident occurs) to enhance the accuracy of analyze results. …”
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Adaptive beamforming with small data set by Sohaib Sajid.

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On grid quorums for erasure coded data by Oggier, Frédérique, Datta, Anwitaman

“…We show how grid quorums can be built for erasure coded data, investigate the load characteristics of these quorum systems, and demonstrate how sequential consistency is achieved even in the presence of storage node failures.…”
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Data mining and discovery for structured English questions by S Shalini Menon

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Data analytics accessibility and predictability in Singapore’s rail sector by Chia, Ethan Cheng Wai

“…During the subsequent log analysis, engineers are overwhelmed with the comprehensive logs provided and need to cross-reference across different files, dates or even logs of other systems. Each working department will have their own working space and practices on how data is stored, retrieved, and manipulated for analysis. …”
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Data processing and visualization for real-time health monitoring by Toh, Hong Ling

“…These sensors are used to collect vital signs of human and transmitted wirelessly to the sensor server where the data are stored for future use. The prototype system had been successfully tested in real time where data was successfully obtained and displayed. …”
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Blockchain and federated learning for data sharing in vehicular network by Qiu, Stanley

“…It was mainly developed to preserve the privacy of data contributors in the process of collective machine learning training and data mining. …”
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Anomaly-aware summary statistic from data batches by Grosso, G.

“…We show that this method outperforms the simple sum of the independent tests run over the batches, and can recover, or even surpass, the sensitivity of the single test run over the full data. …”
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Data driven air pollutant concentration forecast system by Ong, Li Xuan

“…People can stay alive for days without water and even for weeks without food, but without air, one cannot survive for more than a few minutes. …”
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Computational history : from big data to big simulations by Nanetti, Andrea, Cheong, Siew Ann

“…Firstly, the input is problematic because historical records cannot be easily and comprehensively decomposed into unambiguous fields, except for the population and taxation ones, which are rare and scattered throughout space and time till the nineteenth century. Secondly, even if we run machine-learning tools on properly structured data, big results cannot emerge until we built formal models, with explanatory and predictive powers. …”
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Differentially private deep learning for time series data by Dwitami, Inggriany

“…The result shows that in general, models trained without the differentially private optimizer tend to outperform those with, which is expected as data utility is traded off for privacy. However, the difference in performance is sometimes small, and even not significant. …”
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Data-driven integrated approach to airport demand management by Cheung, Wai Lun

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Invisible Women : Data Bias in a World Design for Men / by Perez, Caroline Criado, author 656102, Abrams (Online Service) 656103

“…Data is fundamental to the modern world. From economic development to health care to education and public policy, we rely on numbers to allocate resources and make crucial decisions. …”
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Exploring the awareness and implementation of data journalism in Malaysian online newsrooms by Sarveshwaran Arumugam, Zaliza Nor Sarmiti Sarmidi

“…This shows that even though these newsrooms recognize the existence of data journalism, their depth of understanding the principalities of data journalism varies. …”
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Complexity-Theoretic Limitations on Quantum Algorithms for Topological Data Analysis by Schmidhuber, Alexander, Lloyd, Seth

“…Quantum algorithms for topological data analysis (TDA) seem to provide an exponential advantage over the best classical approach while remaining immune to dequantization procedures and the data-loading problem. …”
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