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Machine learning

From root to result: Portable NIRS-based non-destructive prediction of cassava quality traits

Paulo Henrique Ramos Guimarães, Cinara Fernanda Garcia Morales, [ ... ], Eder Jorge de Oliveira

A bioavailable ⁸⁷Sr/⁸⁶Sr isoscape of Mongolia: Implications for the reconstruction of past human and animal mobility

Mael Le Corre, Eric Douville, [ ... ], Antoine Zazzo

Driving style diversity in highway weaving areas: A drone-based analysis of population distribution patterns and operational parameter relationships

Zhibing Yuan, Zhenghua Huang, Xin Su, Peng Fu

Single replica spin-glass phase detection using field variation and machine learning

Ali Talebi, Mahsa Bagherikalhor, Behrouz Askari, G. Reza Jafari

PixlMap: A generalisable pixel classifier for cellular phenotyping in multiplex immunofluorescence images

Rachel L. Baird, David Mason, [ ... ], John Le Quesne

Identification of oxidative stress-responsive genes in recurrent miscarriage and their role in disease pathogenesis

Mian Wang, Lingling Zhu, Xiaoyan Cheng

A novel agricultural commodity price prediction model integrating deep learning and enhanced swarm intelligence algorithm

Kaixuan Sun, Qi Yao, Yanhui Li

From data to diagnosis: An innovative approach to epilepsy prediction with CGTNet incorporating spatio-temporal features

Dianli Wang, Enping Li, [ ... ], Fengtao Wei

HAttFFNN: Hybridized attention mechanism-based feedforward neural network deep learning model for the plastic material classification of three stage materials on spectroscopic data

Nazym Alimbekova, Hari Mohan Rai, Tursinbay Turymbetov, Ainur Zhumadillayeva

Integrating graph neural networks and LSTM for path optimization in smart port multi-modal systems

Jiangjiang He, Weixun Chen, Jiaren Sun, Lin Zhu

Stock price dynamics prediction based on multi-scale fractals and deep learning

Yuanyuan Du, Ye Tian

A novel framework for educational Q&A: Leveraging RAG and Code Interpreters for knowledge retrieval and logical computation

Jin Lu, Ji Li

Adaptive federated clustering for uncertainty-aware learning on decentralized big data platforms

Mohsen H. Alhazmi

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