Results 71 to 80 of about 22,068 (223)
Topics in Cognitive Science, EarlyView.Abstract This manuscript documents a systematic ethnomycological analysis of ethnographic archives. Focusing on texts describing human–fungi interactions, I conduct a global, cross‐cultural review of mushroom use, covering 193 societies worldwide. The study reveals diverse mushroom‐related cultural practices, emphasizing the significance of fungi ...
Roope O. Kaaronen
wiley +1 more source
Human tests for machine models: What lies “Beyond the Imitation Game”?
Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley +1 more source
Real-Time Data Processing With Lambda Architecture [PDF]
, 2019 Data has evolved immensely in recent years, in type, volume and velocity. There are several frameworks to handle the big data applications. The project focuses on the Lambda Architecture proposed by Marz and its application to obtain real-time data ...
Malusare, Omkar Ashok
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MedComm, Volume 7, Issue 4, April 2026.Gal‐3 apheresis reduces neutrophil hyperactivation (CXCL2/CXCL8, MPO, NETs), preserves endothelial barrier function (tight junctions, vWF/VCAM‐1/ICAM‐1), and attenuates PI3K/AKT/HIF‐1α signaling. These coordinated effects significantly improve hemodynamics, reduce pulmonary edema (ELWI), lower vasopressor and fluid requirements, and increase survival ...
Zhongyi Sun +7 more
wiley +1 more source
Scalable Exact Parent Sets Identification in Bayesian Networks Learning with Apache Spark
, 2017 In Machine Learning, the parent set identification problem is to find a set of random variables that best explain selected variable given the data and some predefined scoring function.
Karan, Subhadeep, Zola, Jaroslaw
core +1 more source
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Collaborative Filtering as a popular method that used for recommendation system. Improvisation is done in purpose of improving the accuracy of the recommendation. A way to do this is to combine with content based method.
Rakhmad Ikhsanudin, Edi Winarko
doaj +1 more source
Accelerating m‐Invariance for Continuous Big Data Publishing
IEEJ Transactions on Electrical and Electronic Engineering, Volume 21, Issue 4, Page 568-579, April 2026.To prevent personal information leakage from the collection and publication of big data, anonymization techniques that protect privacy while preserving data utility are essential. In particular, m‐invariance provides privacy protection for dynamic datasets that are continuously published as records are updated.
Kentaro Morise, Hiroaki Nishi
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An Overview of Deep Learning Techniques for Big Data IoT Applications
International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
Hybrid Similarity Function for Big Data Entity Matching with R-Swoosh [PDF]
, 2016 Entity Matching (EM) is the problem of determining if two entities in a data set refer to the same real-world object. For example, it decides if two given mentions in the data, such as “Helen Hunt” and “H. M. Hunt”, refer to the same real-world entity by
Gorijala, Vimal Chandra
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Multi-Aspect Incremental Tensor Decomposition Based on Distributed In-Memory Big Data Systems
Journal of Data and Information Science, 2020 We propose InParTen2, a multi-aspect parallel factor analysis three-dimensional tensor decomposition algorithm based on the Apache Spark framework. The proposed method reduces re-decomposition cost and can handle large tensors.
Yang Hye-Kyung, Yong Hwan-Seung
doaj +1 more source