Blind Federated Learning without initial model
Springer » Journal of Big Data
by Jose L. Salmeron and Irina Arévalo
7h ago
Federated learning is an emerging machine learning approach that allows the construction of a model between several participants who hold their own private data. This method is secure and privacy-preserving, s ..read more
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Green and sustainable AI research: an integrated thematic and topic modeling analysis
Springer » Journal of Big Data
by Raghu Raman, Debidutta Pattnaik, Hiran H. Lathabai, Chandan Kumar, Kannan Govindan and Prema Nedungadi
3d ago
This investigation delves into Green AI and Sustainable AI literature through a dual-analytical approach, combining thematic analysis with BERTopic modeling to reveal both broad thematic clusters and nuanced e ..read more
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Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients
Springer » Journal of Big Data
by Pan Pan, Yue Wang, Chang Liu, Yanhui Tu, Haibo Cheng, Qingyun Yang, Fei Xie, Yuan Li, Lixin Xie and Yuhong Liu
1w ago
Predicting patient mortality risk facilitates early intervention in intensive care unit (ICU) patients at greater risk of disease progression. This study applies machine learning methods to multidimensional cl ..read more
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An improved deep hashing model for image retrieval with binary code similarities
Springer » Journal of Big Data
by Huawen Liu, Zongda Wu, Minghao Yin, Donghua Yu, Xinzhong Zhu and Jungang Lou
1w ago
The exponential growth of data raises an unprecedented challenge in data analysis: how to retrieve interesting information from such large-scale data. Hash learning is a promising solution to address this chal ..read more
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The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis
Springer » Journal of Big Data
by Zenghong Wu, Kun Zhang, Weijun Wang, Mengke Fan and Rong Lin
1w ago
The burden of gastric cancer (GC) should be further clarified worldwide, and helped us to understand the current situation of GC ..read more
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B-CAT: a model for detecting botnet attacks using deep attack behavior analysis on network traffic flows
Springer » Journal of Big Data
by Muhammad Aidiel Rachman Putra, Tohari Ahmad and Dandy Pramana Hostiadi
1w ago
Threats on computer networks have been increasing rapidly, and irresponsible parties are always trying to exploit vulnerabilities in the network to do various dangerous things. One way to exploit vulnerabiliti ..read more
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Computer aided technology based on graph sample and aggregate attention network optimized for soccer teaching and training
Springer » Journal of Big Data
by Guanghui Yang and Xinyuan Feng
1w ago
Football is the most popular game in the world and has significant influence on various aspects including politics, economy and culture. The experience of the football developed nation has shown that the stead ..read more
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Adapting transformer-based language models for heart disease detection and risk factors extraction
Springer » Journal of Big Data
by Essam H. Houssein, Rehab E. Mohamed, Gang Hu and Abdelmgeid A. Ali
3w ago
Efficiently treating cardiac patients before the onset of a heart attack relies on the precise prediction of heart disease. Identifying and detecting the risk factors for heart disease such as diabetes mellitu ..read more
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Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data
Springer » Journal of Big Data
by Amr A. Abd El-Mageed, Ahmed E. Elkhouli, Amr A. Abohany and Mona Gafar
3w ago
RNA Sequencing (RNA-Seq) has been considered a revolutionary technique in gene profiling and quantification. It offers a comprehensive view of the transcriptome, making it a more expansive technique in compari ..read more
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The role of classifiers and data complexity in learned Bloom filters: insights and recommendations
Springer » Journal of Big Data
by Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo and Marco Frasca
3w ago
Bloom filters, since their introduction over 50 years ago, have become a pillar to handle membership queries in small space, with relevant application in Big Data Mining and Stream Processing. Further improvem ..read more
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