173 Result(s)

Article

On data efficiency of univariate time series anomaly detection models

In machine learning (ML) problems, it is widely believed that more training samples lead to improved predictive accuracy but incur higher computational costs. Consequently, achieving better data efficiency, that ...

Wu Sun, Hui Li, Qingqing Liang, **aofeng Zou, Mei Chen, Yanhao Wang in Journal of Big Data (2024)

Article

Hypoxia within tumor microenvironment characterizes distinct genomic patterns and aids molecular subty** for guiding individualized immunotherapy

Assessing the hypoxic status within the tumor microenvironment (TME) is crucial for its significant clinical relevance in evaluating drug resistance and tailoring individualized strategies. In this study, we p...

Run Shi, **g Sun, Hanyu Zhou, Tong Hu, Zhaojia Gao, **n Wang… in Journal of Big Data (2024)

Article

Inference serving with end-to-end latency SLOs over dynamic edge networks

While high accuracy is of paramount importance for deep learning (DL) inference, serving inference requests on time is equally critical but has not been carefully studied especially when the request has to be ...

Vinod Nigade, Pablo Bauszat, Henri Bal, Lin Wang in Real-Time Systems (2024)

Article

A fuel consumption-based method for develo** local-specific CO₂ emission rate database using open-source big data

Emission data collection has always been a significant burden and challenge for Chinese counties to develop a CO₂ emission inventory. This paper proposed a fuel consumption-based method to develop a local-specifi...

Linheng Li, Can Wang, **g Gan, Dapeng Zhang in Journal of Big Data (2024)

Article

DEMFFA: a multi-strategy modified Fennec Fox algorithm with mixed improved differential evolutionary variation strategies

The Fennec Fox algorithm (FFA) is a new meta-heuristic algorithm that is primarily inspired by the Fennec fox's ability to dig and escape from wild predators. Compared with other classical algorithms, FFA show...

Gang Hu, Keke Song, **uxiu Li, Yi Wang in Journal of Big Data (2024)

Article

Establishment of an automatic diagnosis system for corneal endothelium diseases using artificial intelligence

To use artificial intelligence to establish an automatic diagnosis system for corneal endothelium diseases (CEDs).

**g-hao Qu, **ao-ran Qin, Zi-jun **e, Jia-he Qian, Yang Zhang… in Journal of Big Data (2024)

Article

High-performance computing in healthcare: An automatic literature analysis perspective

The adoption of high-performance computing (HPC) in healthcare has gained significant attention in recent years, driving advancements in medical research and clinical practice. Exploring the literature on HPC ...

Jieyi Li, Shuai Wang, Stevan Rudinac, Anwar Osseyran in Journal of Big Data (2024)

Article

Coordination of networking and computing: toward new information infrastructure and new services mode

**aoyun Wang 王晓云, Tao Sun 孙滔, Yong Cui 崔勇… in Frontiers of Information Technology & Elec… (2024)

Article

Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients

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...

Pan Pan, Yue Wang, Chang Liu, Yanhui Tu, Haibo Cheng, Qingyun Yang… in Journal of Big Data (2024)

Article

The differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis

The burden of gastric cancer (GC) should be further clarified worldwide, and helped us to understand the current situation of GC.

Zenghong Wu, Kun Zhang, Weijun Wang, Mengke Fan, Rong Lin in Journal of Big Data (2024)

Article

Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods

In the context of high-dimensional credit card fraud data, researchers and practitioners commonly utilize feature selection techniques to enhance the performance of fraud detection models. This study presents ...

Huan**g Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar in Journal of Big Data (2024)

Article

Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets

Nonalcoholic fatty liver disease (NAFLD) is a leading public health problem worldwide. Approximately one fourth of patients with nonalcoholic fatty liver (NAFL) progress to nonalcoholic steatohepatitis (NASH),...

**g Sun, Run Shi, Yang Wu, Yan Lou, Lijuan Nie, Chun Zhang… in Journal of Big Data (2024)

Article

Amplitude-modulated EM side-channel attack on provably secure masked AES

Recently a new type of side channels was discovered, called amplitude-modulated electromagnetic (EM) emanations from mixed-signal circuits. Unlike power analysis or near field EM analysis, attacks based on amp...

Huanyu Wang in Journal of Cryptographic Engineering (2024)

Article

Data-driven multinomial random forest: a new random forest variant with strong consistency

In this paper, we modify the proof methods of some previously weakly consistent variants of random forest into strongly consistent proof methods, and improve the data utilization of these variants in order to ...

JunHao Chen, XueLi Wang, Fei Lei in Journal of Big Data (2024)

Article

Deep learning enables the quantification of browning capacity of human adipose samples

The recruitment of thermogenic adipocytes in human fat depots markedly improves metabolic disorders such as type 2 diabetes mellitus (T2DM). However, identification and quantification of thermogenic cells in h...

Yuxin Wang, Shiman Zuo, Nanfei Yang, Ani Jian, Wei Zheng, Zichun Hua… in Journal of Big Data (2024)

Article

A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method

Credit risk prediction is a crucial task for financial institutions. The technological advancements in machine learning, coupled with the availability of data and computing power, has given rise to more credit...

Ileberi Emmanuel, Yanxia Sun, Zenghui Wang in Journal of Big Data (2024)

Article

Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection

Intrusion detection systems play a critical role in the mitigation of cyber-attacks on the Internet of Things (IoT) environment. Due to the integration of many devices within the IoT environment, a huge amount...

Elijah M. Maseno, Zenghui Wang in Journal of Big Data (2024)

Article

Generalized Estimating Equations Boosting (GEEB) machine for correlated data

Rapid development in data science enables machine learning and artificial intelligence to be the most popular research tools across various disciplines. While numerous articles have shown decent predictive abi...

Yuan-Wey Wang, Hsin-Chou Yang, Yi-Hau Chen, Chao-Yu Guo in Journal of Big Data (2024)

Article

Data reduction techniques for highly imbalanced medicare Big Data

In the domain of Medicare insurance fraud detection, handling imbalanced Big Data and high dimensionality remains a significant challenge. This study assesses the combined efficacy of two data reduction techni...

John T. Hancock, Huan**g Wang, Taghi M. Khoshgoftaar, Qianxin Liang in Journal of Big Data (2024)

Article

Recent advances in artificial intelligence generated content

人工智能生成内容(AIGC)是**年来人工智能(AI)领域一个研究热点,它有望取代人类以较低成本高效率执行内容生成工作,如音乐、绘画、多模态内容生成、新闻文章、总结报告、股评摘要,以至元宇宙中的内容生成和数字人。AIGC为未来AI发展和实现提供了一条新的技术路径。

Jun** Zhang 张军**, Lingyun Sun 孙凌云… in Frontiers of Information Technology & Elec… (2024)