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Frontiers in Big Data, Volume 8
Volume 8, 2025
- Waleed Albattah, Rehan Ullah Khan:
Impact of imbalanced features on large datasets. - Huanjing Liu, Xiao Zhang, Qian Liu:
A review of AI-based radiogenomics in neurodegenerative disease. - Meron Asmamaw Alemayehu
, Shimels Derso Kebede, Agmasie Damtew Walle, Daniel Niguse Mamo, Ermias Bekele Enyew, Jibril Bashir Adem:
A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa. - Federico Colecchia, Daniele Giunchi
, Rui Qin, Eleonora Ceccaldi, Fang Wang:
Editorial: Machine learning and immersive technologies for user-centered digital healthcare innovation. - Yonis Gulzar, Shivani Agarwal, Saira Soomro, Meenakshi Kandpal, Sherzod Turaev, Wou Onn Choo, Shilpa Saini, Abdenour Bounsiar:
Next-generation approach to skin disorder prediction employing hybrid deep transfer learning. - Yves Rybarczyk, Rasa Zalakeviciute, Marija Ereminaite, Ivana Costa-Stolz:
Causal effect of PM2.5 on the urban heat island. - Sandio Maciel Dos Santos
, Marcelino Silva da Silva, Fábio Manoel França Lobato, Carlos Renato Lisboa Francês:
Use of Bayesian networks in Brazil high school educational database: analysis of the impact of COVID-19 on ENEM in Pará between 2019 and 2022. - Geeta Rani, Atharv Kothekar, Shawn George Philip, Vijaypal Singh Dhaka, Ester Zumpano, Eugenio Vocaturo:
Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection. - Razvan Rughinis, Simona Nicoleta Vulpe, Dinu Turcanu
, Daniel Rosner:
Balancing act: Europeans' privacy calculus and security concerns in online CSAM detection. - Houdie Tu, Lei Li, Zhenchao Tao, Zan Zhang:
Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph. - Allison Reinsvold Hall, Nicole Skidmore
, Gabriele Benelli, Ben Carlson, Claire David, Jonathan Davies
, Wouter Deconinck, David Demuth, Peter Elmer, Rocky Bala Garg, Stephan Hageböck, Killian Lieret, Valeriia Lukashenko, Sudhir Malik, Andy Morris, Heidi Schellman, Graeme A. Stewart, Jason Veatch, Michel Hernández Villanueva:
Training and onboarding initiatives in high energy physics experiments. - Muhammad Arshad, Choo Wou Onn, Ashfaq Ahmad, Goabaone Mogwe:
Big data analytics and AI as success factors for online video streaming platforms. - Yigao Wang, Qingxian Tang, Wenxuan Wei, Chenhui Yang, Dingqi Yang, Cheng Wang, Liang Xu, Longbiao Chen:
CrowdRadar: a mobile crowdsensing framework for urban traffic green travel safety risk assessment. - Asma'A Al-Mnayyis, Hasan Gharaibeh, Mohammad Amin, Duha Anakreh, Hanan Fawaz Akhdar, Eman Hussein Alshdaifat, Khalid M. O. Nahar, Ahmad Nasayreh, Mohammad A. Gharaibeh, Neda'a Alsalman, Alaa Alomar, Maha Gharaibeh, Hamad Yahia Abu Mhanna:
(KAUH-BCMD) dataset: advancing mammographic breast cancer classification with multi-fusion preprocessing and residual depth-wise network. - Florian Windhager, Steffen Koch, Sander Münster, Eva Mayr:
Editorial: Visualizing big culture and history data. - Alfred Krzywicki, Michael Bain, Wayne Wobcke:
Editorial: Natural language processing for recommender systems. - Erratum: Edge-level multi-constraint graph pattern matching with lung cancer knowledge graph.
- Suresh Neethirajan:
Safeguarding digital livestock farming - a comprehensive cybersecurity roadmap for dairy and poultry industries. - Masoud A. Rostami, Lemaur Kydd, Behnaz Balmaki, Lee A. Dyer, Julie M. Allen:
Deep learning for accurate classification of conifer pollen grains: enhancing species identification in palynology. - Houdie Tu, Lei Li, Zhenchao Tao, Zan Zhang:
Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph. - Guo Zhang:
Cloud computing convergence: integrating computer applications and information management for enhanced efficiency. - Francesco Bertolotti, Niccolò Kadera, Luca Pasquino, Luca Mari:
An epidemiological extension of the El Farol Bar problem.

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