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Big Data and Information Analytics

Big Data and Information Analytics (BDIA) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing.
BDIA publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).

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Research article
Deep neural networks with application in predicting the spread of avian influenza through disease-informed neural networks
Nickson Golooba,  Woldegebriel Assefa Woldegerima,  Huaiping Zhu
2025, Volume 9: 1-28. doi: 10.3934/bdia.2025001
Abstract HTML PDF Viewed (717)
Research article
Frequency filtering prompt tuning for medical image semantic segmentation with missing modalities
Yaru Cheng,  Yuanjie Zheng
2024, Volume 8: 109-128. doi: 10.3934/bdia.2024006
Abstract HTML PDF Viewed (670)

Research article
The impact of personalized recommendation on purchase intention under the background of big data
Xin Yun,  Myung Hwan Chun
2024, Volume 8: 80-108. doi: 10.3934/bdia.2024005
Abstract HTML PDF Viewed (2613)
Research article
Multivariate polynomial regression by an explainable sigma-pi neural network
Xiaoxiang Guo,  Zuolin Shi,  Bin Li
2024, Volume 8: 65-79. doi: 10.3934/bdia.2024004
Abstract HTML PDF Viewed (1003)

Research article
Motality prediction of ICU rheumatic heart disease with imbalanced data based on machine learning
Yiwen Tao,  Zhenqiang Zhang,  Bengbeng Wang,  Jingli Ren
2024, Volume 8: 43-64. doi: 10.3934/bdia.2024003
Abstract HTML PDF Viewed (1140)
Research article
Risk stratification of sepsis death based on machine learning algorithm
Jiaqi Ma,  Hui Chang,  Xiaoqing Zhong,  Yueli Chen
2024, Volume 8: 26-42. doi: 10.3934/bdia.2024002
Abstract HTML PDF Viewed (1111)

Research article
Dynamic mode decomposition for blindly separating mixed signals and decrypting encrypted images
Cun Chen,  Hui Peng
2024, Volume 8: 1-25. doi: 10.3934/bdia.2024001
Abstract HTML PDF Viewed (1167)
Research article
Modeling path-dependent state transitions by a recurrent neural network
Bill Huajian Yang
2022, Volume 7: 1-12. doi: 10.3934/bdia.2022001
Abstract HTML PDF Viewed (1985)

Research article
Accounting for the Trump factor in modeling the COVID-19 epidemic: the case of Louisiana
Antonio N. Bojanic
2021, Volume 6: 74-85. doi: 10.3934/bdia.2021006
Abstract HTML PDF Viewed (3903)
Research article
Aggregate loss model with Poisson-Tweedie frequency
S. Chen,  Z. Wang,  M. Kelly
2021, Volume 6: 56-73. doi: 10.3934/bdia.2021005
Abstract HTML PDF Viewed (4578)

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