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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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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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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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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Optimized GPU algorithms for sparse data problems by Pham, Nguyen Quang Anh

“…Many important problems in science and engineering today deal with sparse data. Examples of sparse data include sparse matrices, where the number of nonzero values is much smaller than the total number possible and where nonzeros are located in scattered instead of regular positions, and graphs in which the average degree is low and the edge set has an irregular structure. …”
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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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Physics-informed machine learning for green data center operations by Wang, Ruihang

“…The data center (DC) industry is rapidly growing in recent years to meet the ever-increasing cloud computing and storage demands. …”
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Adaptive routing for layer-2 load balancing in data center networks by Kanagavelu, Renuga, Lee, Francis Bu-Sung, Ragavendran, Vasanth, Aung, Khin Mi Mi

“…With the Internet boom over the last decade, large scale Data Centers are rapidly increasing in capacity and numbers to meet the ever increasing demand for bandwidth. …”
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Resilient power systems operation with offshore wind farms and cloud data centers by Liu, Shengwei, Li, Yuanzheng, Liu, Xuan, Zhao, Tianyang, Wang, Peng

“…Based on Lagrange duality, this problem is reformulated into its deterministic counterpart and solved by a novel decomposition method with hybrid cuts, admitting fewer iterations and a faster convergence rate. The effectiveness of the proposed resilient management strategy is verified through case studies conducted on the modified IEEE-RTS 24 system, which includes 4 data centers and 5 offshore wind farms.…”
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Navigating data secrecy challenges: a study on cyberespionage intentions in the WFH era by Abu Samah, Irza Hanie, Sarip, Azlineer, Ishak, Ma Kalthum, Shaari, Roziana, A. Rahim, Nur Syafiqah, Abd. Rashid, Intan Maizura

“…In the contemporary landscape of remote work, the surge in cyberespionage poses unprecedented challenges to data secrecy. As organizations transition toward a work-from-home (WFH) paradigm, the traditional boundaries of secure office environments have blurred, rendering sensitive information more vulnerable than ever. …”

Detection of false data injection attacks in smart grid cyber-physical systems by Li, Beibei

“…One of the most critical security threats in smart grid CPSs lies in the high-profile false data injection (FDI) attacks, where attackers attempt to inject either fabricated measurement data to mislead power grid state estimation & bad data detection or tampered command data to misguide power management & control. …”
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Physical unclonable function based solutions to unification of user, device and data authentication by Zheng, Yue

“…As the demand of providing more comprehensive protection across user, device and data for IoT applications is increasing, this research aims at developing new PUF solutions to unify device, data and user authentication with high security and efficiency. …”
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Digital keywords for China: perceptions and portrayals in English-language novels by Matthews, Graham, Cheung, Cally Hiu Tung

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Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore by Teo, Aaron Bao Long

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Canadians' opinions towards COVID-19 data-sharing: a national cross-sectional survey by Savić Kallesøe, SA, Rabbani, T, Gill, EE, Brinkman, F, Griffiths, EJ, Zawati, M, Liu, H, Palmour, N, Joly, Y, Hsiao, WWL

“…Vaccination status was the most influential predictor of data-sharing opinion, with respondents who were ever vaccinated being 4.20 times more likely (95% CI 3.21 to 5.48, p=0.000) to be generally supportive of data-sharing than those unvaccinated. …”

Imagining post-fossil tourism mobilities with Norwegian tourists by Hopkins, D, Landa-Mata, I, Kr Steen Jacobsen, J, Farstad, E, Higham, J

DevOps for Databases : A practical guide to applying DevOps best practices to data-persistent technologies / by Jambor, David, author 656261

“…This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps. You'll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. …”
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