Frontiers in Big Data | New and Recent Articles https://www.frontiersin.org/journals/big-data RSS Feed for Frontiers in Big Data | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-08-25T16:04:15.948+00:00 60 https://www.frontiersin.org/articles/10.3389/fdata.2026.1889044 https://www.frontiersin.org/articles/10.3389/fdata.2026.1889044 <![CDATA[A cognitively inspired feature-level fusion framework for interpretable retail sales forecasting using integration of extreme gradient boost machine, artificial neural network and attention mechanism model]]> 2026-08-20T00:00:00Z Original Research Munienge MbodilaOmobayo Ayokunle Esan https://www.frontiersin.org/articles/10.3389/fdata.2026.1812391 https://www.frontiersin.org/articles/10.3389/fdata.2026.1812391 <![CDATA[Interviewer effects on underreporting of traditional contraceptive use: evidence from National Family Health Survey-5]]> 2026-08-20T00:00:00Z Original Research Rupalee Singh ChauhanLaxmi Kant DwivediPriyanka DixitShiva S. Halli https://www.frontiersin.org/articles/10.3389/fdata.2026.1927115 https://www.frontiersin.org/articles/10.3389/fdata.2026.1927115 <![CDATA[A novel two-parameter discrete exponentiated exponential distribution with its neutrosophic extension: mathematical characterization and real-world count data modeling]]> 2026-08-18T00:00:00Z Original Research Furqan Ahmed P.Sujatha V. 1) and the dispersion regime (over-dispersion for small α, under-dispersion for large α), a dual flexibility that most competing discrete models cannot replicate without structural modification. These properties are rigorously established in closed form via the Glaser technique and numerical investigation of the dispersion index. Closed-form expressions are derived for the probability mass function, cumulative distribution function, survival and hazard rate functions, moment generating and characteristic functions, raw and central moments up to the fourth order, and the mean residual life function. Parameter estimation is carried out via maximum likelihood, and a comprehensive Monte Carlo simulation study assesses the finite-sample performance of the estimators and benchmarks it against four competing discrete models under identical settings. The practical advantage of the DEE distribution is demonstrated through three real-world count datasets from oncology, education, and nephrology; the DEE model exhibits competitive and frequently superior performance relative to seven benchmark discrete distributions. Finally, a neutrosophic generalization (DNEE) extends the framework to count data characterized by vagueness, incompleteness, or indeterminacy, with accompanying estimation and illustrative numerical analysis.]]> https://www.frontiersin.org/articles/10.3389/fdata.2026.1884673 https://www.frontiersin.org/articles/10.3389/fdata.2026.1884673 <![CDATA[Benchmarking retrieval augmented generation LLMs for Arabic noise robustness]]> 2026-08-17T00:00:00Z Original Research Saleh AlmohaimeedAbdulrahman AlabduljabbarMousa JariMohammed AlkhowaiterSaad AlmohaimeedMohamad Mahmoud Al Rahhal https://www.frontiersin.org/articles/10.3389/fdata.2026.1811835 https://www.frontiersin.org/articles/10.3389/fdata.2026.1811835 <![CDATA[Real-time AI-driven trend analytics for smart city digital services using streaming data]]> 2026-08-14T00:00:00Z Original Research Zhuldyz KalpeyevaAbdul RazaqueRaissa UskenbayevaAliya BeishenalyVenera ElleAizhan Kassymova https://www.frontiersin.org/articles/10.3389/fdata.2026.1811967 https://www.frontiersin.org/articles/10.3389/fdata.2026.1811967 <![CDATA[Enhancing IoT botnet detection with explainable ensemble learning]]> 2026-08-12T00:00:00Z Original Research Linda JosephSambath M.Vivekanandan M. https://www.frontiersin.org/articles/10.3389/fdata.2026.1887075 https://www.frontiersin.org/articles/10.3389/fdata.2026.1887075 <![CDATA[DKFraudNet: a knowledge-guided adversarial learning framework for fraud user detection]]> 2026-08-12T00:00:00Z Original Research Yingjun ShenRenda ShiKaixi SongYunpeng Li https://www.frontiersin.org/articles/10.3389/fdata.2026.1916523 https://www.frontiersin.org/articles/10.3389/fdata.2026.1916523 <![CDATA[Differentiated memory and scientific cognition in AI research agents]]> 2026-08-05T00:00:00Z Hypothesis and Theory Diego F. CuadrosAbdoul-Aziz MaigaSid ThathamAlvaro OrtizMargaret Powers-FletcherMing Tang https://www.frontiersin.org/articles/10.3389/fdata.2026.1899143 https://www.frontiersin.org/articles/10.3389/fdata.2026.1899143 <![CDATA[A computational analysis of human rights discourse in news media using institutional theory]]> 2026-07-31T00:00:00Z Original Research Joel Andrew B. Cruz JrMa. Rowena R. Caguiat https://www.frontiersin.org/articles/10.3389/fdata.2026.1886902 https://www.frontiersin.org/articles/10.3389/fdata.2026.1886902 <![CDATA[Shifting supply chain interdependencies among global automakers]]> 2026-07-23T00:00:00Z Original Research Hiromitsu GotoWataru Souma https://www.frontiersin.org/articles/10.3389/fdata.2026.1846964 https://www.frontiersin.org/articles/10.3389/fdata.2026.1846964 <![CDATA[AI applied to Saudi Arabia higher education: systematic literature review—SLR with PRISMA and VOSviewer]]> 2026-07-22T00:00:00Z Systematic Review Jehad Alqurni https://www.frontiersin.org/articles/10.3389/fdata.2026.1878242 https://www.frontiersin.org/articles/10.3389/fdata.2026.1878242 <![CDATA[A cost-sensitive random forest framework for ARP spoofing detection in Internet of Medical Things networks]]> 2026-07-22T00:00:00Z Original Research Siddhartha SinghalKakelli Anil Kumar https://www.frontiersin.org/articles/10.3389/fdata.2026.1832790 https://www.frontiersin.org/articles/10.3389/fdata.2026.1832790 <![CDATA[Machine learning approach for predicting the severity risk of obstructive sleep apnea syndrome]]> 2026-07-16T00:00:00Z Original Research Qi WangXiaoyu YangShuran XuHaohao WuGuixuan WangHuixian LiuRonghua ChenFengming XuCheng WangKang Du https://www.frontiersin.org/articles/10.3389/fdata.2026.1878260 https://www.frontiersin.org/articles/10.3389/fdata.2026.1878260 <![CDATA[A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions]]> 2026-07-10T00:00:00Z Review Dwarsala Sreedhar ReddyKakelli Anil Kumar https://www.frontiersin.org/articles/10.3389/fdata.2026.1728498 https://www.frontiersin.org/articles/10.3389/fdata.2026.1728498 <![CDATA[A prognostic tool for pulmonary collapse: nomogram-based prediction of 28-day mortality]]> 2026-07-09T00:00:00Z Original Research Xinming HeWenchong YuYuling LiAo MaZhichao MengJiehao ZhuMinghui TanXiaodong ZhaoMu Chen https://www.frontiersin.org/articles/10.3389/fdata.2026.1837706 https://www.frontiersin.org/articles/10.3389/fdata.2026.1837706 <![CDATA[Noise-robust temporal–spectral fusion transformers for EEG-based cognitive state classification in aviation environments]]> 2026-07-09T00:00:00Z Original Research Quynh Anh NguyenNam Anh DaoLong Nguyen https://www.frontiersin.org/articles/10.3389/fdata.2026.1842233 https://www.frontiersin.org/articles/10.3389/fdata.2026.1842233 <![CDATA[Evolutionary multi-agent reinforcement learning for crisis-aware demographic policy optimization]]> 2026-07-08T00:00:00Z Original Research Anton V. DozhdikovArseniy M. Sitkovskiy https://www.frontiersin.org/articles/10.3389/fdata.2026.1883452 https://www.frontiersin.org/articles/10.3389/fdata.2026.1883452 <![CDATA[Cross-model evaluation of phishing detectors against LLM-generated emails]]> 2026-07-07T00:00:00Z Original Research Rommel GutierrezWilliam Villegas-ChJaime Govea https://www.frontiersin.org/articles/10.3389/fdata.2026.1807559 https://www.frontiersin.org/articles/10.3389/fdata.2026.1807559 <![CDATA[Influence of localized roadway surface obstacles on vehicular emissions under real-world urban driving conditions]]> 2026-06-23T00:00:00Z Original Research Victor Cardoso OliveiraThiago Iachiley Araújo de SouzaNicole Souza BatistaBruno Vieira BertonciniVerônica Teixeira Franco Castelo Branco https://www.frontiersin.org/articles/10.3389/fdata.2026.1871346 https://www.frontiersin.org/articles/10.3389/fdata.2026.1871346 <![CDATA[Adaptive class-aware feature selection for high-dimensional and imbalanced multi-class network intrusion detection]]> 2026-06-23T00:00:00Z Original Research Joseph P. MchinaNeema MdumaRamadhani S. Sinde