Results 211 to 220 of about 124,081 (292)

From Decoding to Disrupting: Decolonizing Research Methods

New Directions for Teaching and Learning, EarlyView.
ABSTRACT In this chapter, the author shares her journey and experiences with decolonization through the development of the Disrupting interview, collaborations with colleagues, and the re‐examination of disciplinary research and teaching practices.
Roberta Lexier
wiley   +1 more source

Unveiling large multimodal models in pulmonary CT: A comparative assessment of generative AI performance in lung cancer diagnostics

VIEW, EarlyView.
1. The emergence of generative artificial intelligence (Gen‐AI) requires rigorous validation to assess its diagnostic reliability and limitations. 2. Three Gen‐AI models (GPT‐4‐turbo, Gemini‐pro‐vision, and Claude‐3‐opus) performed inconsistently across different diagnostic environments, demonstrating significant internal variability and overall ...
Lihaoyun Huang, Anqi Lin, Haitao Li, Qun Wang, Junyi Shen, Aimin Jiang, Chang Qi, Wenyi Gan, Lingxuan Zhu, Weiming Mou, Dongqiang Zeng, Bufu Tang, Mingjia Xiao, Guangdi Chu, Jian Zhang, Quan Cheng, Peng Luo, Ting Wei   +17 more
wiley   +1 more source

Using fecal DNA metabarcoding to investigate the animal diet of black rails, yellow rails, and soras

Wildlife Society Bulletin, EarlyView.
We used fecal DNA metabarcoding to investigate the diet of yellow rails, Eastern black rails, and sora during the non‐breeding season. Arthropods, particularly ants, were prevalent in their diets, suggesting possible interactions with invasive red imported fire ants.
Christopher J. Butler, Tabitha W. Olsen, Susan B. McRae, Meriam N. Saleh, Matthew Parks   +4 more
wiley   +1 more source

Impact of log parsing on deep learning-based anomaly detection. [PDF]

Empir Softw Eng
Khan ZA, Shin D, Bianculli D, Briand LC.
europepmc   +1 more source

Parsing Danish Text in Eurotra

, 1988
Ole Togeby
openalex   +2 more sources

Semantic Communication and Predictive Compression of Kinaesthetic Signals in Robotics With Learnable Matrices

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Robotics plays an increasingly important role in all areas of human activity. Teleoperation robots can effectively ensure the safety of operators when operating in difficult and high‐risk industrial scenarios, which obviously requires instant and efficient signal compression and transmission in the system.
Wenrui Wang, Yang Chen, Xianqi Zhang, Wenxue Cui, Mengyao Ma, Jiahui Li, Xiaopeng Fan   +6 more
wiley   +1 more source

GrotUNet: a novel leaf segmentation method. [PDF]

Front Plant Sci
Deng H, Wen B, Gu C, Fan Y.
europepmc   +1 more source

South Korean Election Campaign Booklet and Party Statements Corpora. [PDF]

Sci Data
Lim TH.
europepmc   +1 more source

A new framework for X‐ray absorption spectroscopy data analysis based on machine learning: XASDAML

Journal of Synchrotron Radiation, EarlyView.
We introduce XASDAML, an open‐source machine‐learning framework that integrates the complete X‐ray absorption spectroscopy analytical workflow, enabling efficient extraction of spectral and structural descriptors and rapid prediction of structural parameters. Demonstrated through a copper system, the framework significantly streamlines X‐ray absorption
Xue Han, Haodong Yao, Fei Zhan, Xueqi Song, Junfang Zhao, Haifeng Zhao   +5 more
wiley   +1 more source