Results 41 to 50 of about 25,322,466 (386)
Measuring economic activity in China with mobile big data
EPJ Data Science, 2017 Emerging trends in the use of smartphones, online mapping applications, and social media, in addition to the geo-located data they generate, provide opportunities to trace users’ socio-economic activities in an unprecedentedly granular and direct fashion
Lei Dong +5 more
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The Singularity of Oriented Outerplanar Graphs with a Given Number of Inner Edges
Journal of Mathematics, 2022 A digraph is called oriented if there is at most one arc between two distinct vertices. An oriented graph is called nonsingular (singular) if its adjacency matrix AD is nonsingular (singular).
Borui He, Xianya Geng, Long Wang
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An Introductory Review of Deep Learning for Prediction Models With Big Data
Frontiers in Artificial Intelligence, 2020 Deep learning models stand for a new learning paradigm in artificial intelligence (AI) and machine learning. Recent breakthrough results in image analysis and speech recognition have generated a massive interest in this field because also applications in
F. Emmert-Streib +4 more
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A New Hybrid Conjugate Gradient Projection Method for Solving Nonlinear Monotone Equations
Journal of Mathematics, 2022 In this study, we propose a new modified hybrid conjugate gradient projection method with a new scale parameter φk for solving large-scale nonlinear monotone equations. The proposed method includes two major features: projection techniques and sufficient
Minglei Fang, Min Wang, Defeng Ding
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Big Data, Big Opportunities, and Big Challenges [PDF]
Journal of Investigative Dermatology Symposium Proceedings, 2015 High-throughput assays have begun to revolutionize modern biology and medicine. The advent of cheap next-generation sequencing (NGS) has made it possible to interrogate cells and human populations as never before. Although this has allowed us to investigate the genetics, gene expression, and impacts of the microbiome, there remain both practical and ...
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A comprehensive survey of anomaly detection techniques for high dimensional big data
Journal of Big Data, 2020 Anomaly detection in high dimensional data is becoming a fundamental research problem that has various applications in the real world. However, many existing anomaly detection techniques fail to retain sufficient accuracy due to so-called “big data ...
Srikanth Thudumu +3 more
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A survey on data‐efficient algorithms in big data era
Journal of Big Data, 2021 The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately, many application domains do not have access to big data because acquiring data involves a process that is expensive or time-consuming.
Amina Adadi
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Asymptotic Stability of Global Solutions to Non-isentropic Navier–Stokes Equations
Journal of Mathematics, 2023 This paper studies the asymptotic stability of global solutions of the three-dimensional nonisentropic compressible Navier–Stokes equations, where the initial data satisfy the “well-prepared” initial conditions, and the velocity field and temperature ...
Qingliu Li, Dandan Ren, Xinfeng Liang
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Challenges and Future Directions of Big Data and Artificial Intelligence in Education
Frontiers in Psychology, 2020 We discuss the new challenges and directions facing the use of big data and artificial intelligence (AI) in education research, policy-making, and industry.
Hui Luan +9 more
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The Review of financial studies, 2021 Big data is revolutionizing the finance industry and has the potential to significantly shape future research in finance. This special issue contains papers following the 2019 NBER-RFS Conference on Big Data.
Itay Goldstein, Chester Spatt, Mao Ye
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