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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Will we ever go back to normal? An international exploration of the impact of Covid-19 on tourism teaching in 5 countries by Bamford, Jan

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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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IMDB movie data visualization by Su, Wai Myo.

“…Information visualization brings the users and data they wish to analyse closer using graphical representations. …”
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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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Data mining applications in Singapore by Ang, Chung Lay, Loh, Heng Meng, Tham, Tuck Kong

“…With the ever increasing pace oftechnological advancement, data acquisition has become amazingly easy and painless. …”
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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-driven modeling of transportation systems and traffic data analysis during a major power outage in the Netherlands by Melnikov, Valentin R., Krzhizhanovskaya, Valeria V., Boukhanovsky, Alexander V., Sloot, Peter M. A.

“…Efficient methods and tools for road network planning and traffic management are critically important in the ever more urbanized world. The goal of our research is the development of a data-driven multiscale modeling approach for accurate simulation of road traffic in real-life transportation networks, with applications in real-time decision support systems and urban planning. …”
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Data Driven Quality Improvement of Health Professions Education: Design and Development of CLUE – An Interactive Curriculum Data Visualization Tool by Canning, Claire Ann, Loe, Alan, Cockett, Kathryn Jane, Gagnon, Paul, Zary, Nabil

“…CLUE exists independent of institutional systems and in this way, is uniquely positioned to deliver a data driven quality improvement resource, easily adaptable for use by any member of our health care professions.…”
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Task and data allocation in autonomous mobile robots by Tan, Natasha Zhaowen

“…The increasing need for AMR in service industries, particularly those requiring precision and efficiency, such as coffee preparation, emphasizes the importance of advanced task and data allocation methods that improve system performance and adaptability. …”
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Data mining and discovery for structured English questions by S Shalini Menon

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Data-driven fault diagnosis of power converter systems by Li, Han

“…As power converters advance, their significance in daily life grows ever more pronounced. Ensuring the reliability and safety of power converter operation necessitates prioritizing fault diagnosis for power converters. …”
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Hodge theory and its applications to molecular data analysis by Koh, Ronald Joon Wei

“…The complete DNA sequencing of the entire human genome, or better known as the Human Genome Project, concluded in 2003. Ever since then, many headways have been made to better understand the organization of the human genome. …”
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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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