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  1. Distributed deep learning is a promising approach for training and deploying large and complex deep learning models. This paper presents a comprehensive workflow for deploying and optimizing the YOLACT instanc...

    Authors: Mohammed Elhmadany, Islam Elmadah and Hossam E. Abdelmunim
    Citation: Journal of Big Data 2024 11:6
  2. The tasks of few-shot, one-shot, and zero-shot learning—or collectively “low-shot learning” (LSL)—at first glance are quite similar to the long-standing task of class imbalanced learning; specifically, they ai...

    Authors: Preston Billion Polak, Joseph D. Prusa and Taghi M. Khoshgoftaar
    Citation: Journal of Big Data 2024 11:1
  3. Flight delay prediction is one of the most significant components of intelligent aviation systems that may spread throughout the whole aviation network and cause multi-billion-dollar losses faced by airlines a...

    Authors: Maged Mamdouh, Mostafa Ezzat and Hesham A.Hefny
    Citation: Journal of Big Data 2023 10:179
  4. In smart cities, communication and information exchange for the Internet of Vehicles rely on open and closed infrastructures along the roadside. Secure communications rely on the sender and receiver devices ha...

    Authors: Nadhir Ben Halima, Ala Saleh Alluhaidan, Mohammad Zunnun Khan, Mohd Shahid Husain and Mohammad Ayoub Khan
    Citation: Journal of Big Data 2023 10:178
  5. Machine learning (ML) methods for uncovering single nucleotide polymorphisms (SNPs) in genome-wide association study (GWAS) data that can be used to predict disease outcomes are becoming increasingly used in g...

    Authors: R. Onur Öztornaci, Hamzah Syed, Andrew P. Morris and Bahar Taşdelen
    Citation: Journal of Big Data 2023 10:174
  6. In this big data era, multitudes of data are generated and collected which contain the potential to gain new insights, e.g., for enhancing business models. To leverage this potential through, e.g., data scienc...

    Authors: Rebecca Eichler, Christoph Gröger, Eva Hoos, Christoph Stach, Holger Schwarz and Bernhard Mitschang
    Citation: Journal of Big Data 2023 10:173
  7. Distributed database system (DDBS) design is still an open challenge even after decades of research, especially in a dynamic network setting. Hence, to meet the demands of high-speed data gathering and for the...

    Authors: Hassan I. Abdalla, Ali A. Amer and Sri Devi Ravana
    Citation: Journal of Big Data 2023 10:172
  8. Recently, governments and organizations have repeatedly pressed manufacturing enterprises to promote the ethical and transparent use of natural resources, lessen their negative effects on national and internat...

    Authors: Lahcen Tamym, Lyes Benyoucef, Ahmed Nait Sidi Moh and Moulay Driss El Ouadghiri
    Citation: Journal of Big Data 2023 10:170
  9. The search-engine-based surveillance methods for the early warning and prediction of infectious diseases cannot achieve search engine keywords automatic filtering and real-time updating, lead to powerless for ...

    Authors: Ligui Wang, Yuqi Liu, Hui Chen, Shaofu Qiu, Yonghong Liu, Mingjuan Yang, Xinying Du, Zhenjun Li, Rongzhang Hao, Huaiyu Tian and Hongbin Song
    Citation: Journal of Big Data 2023 10:169
  10. The task of insights extraction from unstructured text poses significant challenges for big data analytics because it contains subjective intentions, different contextual perspectives, and information about th...

    Authors: Kiran Adnan, Rehan Akbar and Khor Siak Wang
    Citation: Journal of Big Data 2023 10:168
  11. Network intrusion detection systems (NIDSs) are one of the main tools used to defend against cyber-attacks. Deep learning has shown remarkable success in network intrusion detection. However, the effect of fea...

    Authors: Abiodun Ayantayo, Amrit Kaur, Anit Kour, Xavier Schmoor, Fayyaz Shah, Ian Vickers, Paul Kearney and Mohammed M. Abdelsamea
    Citation: Journal of Big Data 2023 10:167
  12. Data mining from RNA-seq or microarray data has become an essential part of cancer biomarker exploration. Certain existing web servers are valuable and broadly utilized, but the meta-analysis of multiple datas...

    Authors: Zaoqu Liu, Long Liu, Siyuan Weng, Hui Xu, Zhe Xing, Yuqing Ren, Xiaoyong Ge, Libo Wang, Chunguang Guo, Lifeng Li, Quan Cheng, Peng Luo, Jian Zhang and Xinwei Han
    Citation: Journal of Big Data 2023 10:165
  13. This study proposes an innovative neural network framework, ASENN (Attention-based Selective Embedding Neural Network), for the prediction of pavement deterioration. Considering the complexity and uncertainty ...

    Authors: Babitha Philip, Zhenyu Xu, Hamad AlJassmi, Qieshi Zhang and Luqman Ali
    Citation: Journal of Big Data 2023 10:164
  14. Open information about government organizations should interest all citizens who care about their governments’ functionality. Large-scale open governmental data open new opportunities for citizens and research...

    Authors: Shai Berkovitz, Amit Mazuz and Michael Fire
    Citation: Journal of Big Data 2023 10:161
  15. Research into machine learning methods for fraud detection is of paramount importance, largely due to the substantial financial implications associated with fraudulent activities. Our investigation is centered...

    Authors: Joffrey L. Leevy, John Hancock, Taghi M. Khoshgoftaar and Azadeh Abdollah Zadeh
    Citation: Journal of Big Data 2023 10:157
  16. Recent technological advancements have led to a significant increase in digital documents. A document’s key information is generally represented by the keyphrases that provide the abstract description containe...

    Authors: Hung Du, Srikanth Thudumu, Antonio Giardina, Rajesh Vasa, Kon Mouzakis, Li Jiang, John Chisholm and Sanat Bista
    Citation: Journal of Big Data 2023 10:156
  17. As a means of building explainable machine learning models for Big Data, we apply a novel ensemble supervised feature selection technique. The technique is applied to publicly available insurance claims data f...

    Authors: John T. Hancock, Richard A. Bauder, Huanjing Wang and Taghi M. Khoshgoftaar
    Citation: Journal of Big Data 2023 10:154
  18. Under-sampling is a technique to overcome imbalanced class problem, however, selecting the instances to be dropped and measuring their informativeness is an important concern. This paper tries to bring up a ne...

    Authors: Tayyebe Feizi, Mohammad Hossein Moattar and Hamid Tabatabaee
    Citation: Journal of Big Data 2023 10:153
  19. Pollen identification is necessary for several subfields of geology, ecology, and evolutionary biology. However, the existing methods for pollen identification are laborious, time-consuming, and require highly...

    Authors: Masoud A. Rostami, Behnaz Balmaki, Lee A. Dyer, Julie M. Allen, Mohamed F. Sallam and Fabrizio Frontalini
    Citation: Journal of Big Data 2023 10:151
  20. Many agencies and organizations, such as the U.S. Geological Survey, handle massive geospatial datasets and their auxiliary data and are thus faced with challenges in storing data and ingesting it, transferrin...

    Authors: S. T. Arundel, K. G. McKeehan, B. B. Campbell, A. N. Bulen and P. T. Thiem
    Citation: Journal of Big Data 2023 10:146
  21. Automated detection of defects on metal surfaces is crucial for ensuring quality control. However, the scarcity of labeled datasets for emerging target defects poses a significant obstacle. This study proposes...

    Authors: Mahe Zabin, Anika Nahian Binte Kabir, Muhammad Khubayeeb Kabir, Ho-Jin Choi and Jia Uddin
    Citation: Journal of Big Data 2023 10:145
  22. The identification and prognosis of the potential for developing Cardiovascular Diseases (CVD) in healthy individuals is a vital aspect of disease management. Accessing the comprehensive health data on CVD cur...

    Authors: Nadiah A. Baghdadi, Sally Mohammed Farghaly Abdelaliem, Amer Malki, Ibrahim Gad, Ashraf Ewis and Elsayed Atlam
    Citation: Journal of Big Data 2023 10:144
  23. Although Parkinson’s disease (PD) has a heterogeneous disease course, it remains challenging to establish subtypes. We described and clustered the natural course of Parkinson’s disease (PD) with respect to fun...

    Authors: Dougho Park, Su Yun Lee, Jong Hun Kim and Hyoung Seop Kim
    Citation: Journal of Big Data 2023 10:140
  24. Fin-Tech is the merging of finance and technology, to be considered a key term for technology-based financial operations and money transactions as far as Fin-Tech is concerned. In the massive field of business...

    Authors: Habib Ullah Khan, Muhammad Sohail, Shah Nazir, Tariq Hussain, Babar Shah and Farman Ali
    Citation: Journal of Big Data 2023 10:138
  25. Large unbalanced datasets pose challenges for machine learning models, as redundant and irrelevant features can hinder their effectiveness. Furthermore, the performance of intrusion detection systems (IDS) can...

    Authors: Kezhou Ren, Yifan Zeng, Yuanfu Zhong, Biao Sheng and Yingchao Zhang
    Citation: Journal of Big Data 2023 10:137
  26. Real-time object tracking and occlusion handling are critical research areas in computer vision and machine learning. Developing an efficient and accurate object-tracking method that can operate in real-time w...

    Authors: Devira Anggi Maharani, Carmadi Machbub, Lenni Yulianti and Pranoto Hidaya Rusmin
    Citation: Journal of Big Data 2023 10:136
  27. Screening for hyperthyroidism using gold-standard diagnostic criteria in the general population is not cost-effective, leading to a relatively high rate of undiagnosed and untreated patients. This study aimed ...

    Authors: Li Dong, Lie Ju, Shiqi Hui, Lihua Luo, Xue Jiang, Zihan Nie, Ruiheng Zhang, Wenda Zhou, Heyan Li, Jost B. Jonas, Xin Wang, Xin Zhao, Chao He, Yuzhong Chen, Zhaohui Wang, Jianxiong Gao…
    Citation: Journal of Big Data 2023 10:134
  28. Triple-negative breast cancer (TNBC) is a relatively aggressive breast cancer subtype due to tumor relapse, drug resistance, and multi-organ metastatic properties. Identifying reliable biomarkers to predict pr...

    Authors: Shuyu Li, Nan Zhang, Hao Zhang, Ran Zhou, Zirui Li, Xue Yang, Wantao Wu, Hanning Li, Peng Luo, Zeyu Wang, Ziyu Dai, Xisong Liang, Jie Wen, Xun Zhang, Bo Zhang, Quan Cheng…
    Citation: Journal of Big Data 2023 10:132

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  • 2022 Citation Impact
    8.1 - 2-year Impact Factor
    5.095 - SNIP (Source Normalized Impact per Paper)
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