Image de couverture de livre

Harnessing Big Data and Artificial Intelligence to Study Plant Stress

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Koh, Eugene, Sunil, Rohan Shawn, Lam, Hilbert Yuen In, Mutwil, Marek
Format:	Preprint
Publié:	2024
Sujets:	Quantitative Methods
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Plant sesquiterpene lactones
par: Agatha, Olivia, et autres
Publié: (2024)

Harnessing Artificial Intelligence To Reduce Phototoxicity in Live Imaging
par: Gómez-de-Mariscal, Estibaliz, et autres
Publié: (2023)

CGM Data Analysis 2.0: Functional Data Pattern Recognition and Artificial Intelligence Applications
par: Klonoff, David C., et autres
Publié: (2025)

Optical Spectroscopic Imaging for Early Detection of Salinity Stress in Plants: A Review
par: Gupta, Ramji, et autres
Publié: (2025)

Enhancing Morpho-Kinematic analysis for Plant Water Stress Classification through Leaf Movements
par: Polilli, Walter, et autres
Publié: (2025)

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations
par: Higgins, Kyle, et autres
Publié: (2024)

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta
par: Emons, Martin, et autres
Publié: (2024)

Large Language Models in Plant Biology
par: Lam, Hilbert Yuen In, et autres
Publié: (2024)

Leveraging Phytolith Research using Artificial Intelligence
par: Ramón, Andrés G. Mejía, et autres
Publié: (2026)

Crown-Like Structures in Breast Adipose Tissue: Finding a 'Needle-in-a-Haystack' using Artificial Intelligence and Collaborative Active Learning on the Web
par: Bhawsar, Praphulla MS, et autres
Publié: (2024)

AIRI: Predicting Retention Indices and their Uncertainties using Artificial Intelligence
par: Geer, Lewis Y., et autres
Publié: (2024)

Stress distribution in contractile cell monolayers
par: Huo, Yucheng, et autres
Publié: (2025)

Artificial Intelligence Powered Identification of Potential Antidiabetic Compounds in Ficus religiosa
par: Alam, Md Ashad, et autres
Publié: (2025)

Harnessing Diet and Gene Expression Insights through a Centralized Nutrigenomics Database to Improve Public Health
par: Hai, Fahmida, et autres
Publié: (2025)

Response of Different Tomato Accessions to Biotic and Abiotic Stresses
par: Rasul, Kamaran Salh, et autres
Publié: (2024)

Homeostatic Kinematic Growth Model for Arteries -- Residual Stresses and Active Response
par: Uhlmann, Klemens, et autres
Publié: (2025)

Raman Spectroscopy for the Early Detection of Huanglongbing and Citrus Canker in Plants: A Review
par: Das, Ashis Kumar, et autres
Publié: (2025)

Artificial Intelligence for Microbiology and Microbiome Research
par: Wang, Xu-Wen, et autres
Publié: (2024)

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly
par: Koodli, Rohan V., et autres
Publié: (2025)

Plant and insect proteins support optimal bone growth and development; Evidences from a pre-clinical model
par: Becker, Gal, et autres
Publié: (2024)

CAN-STRESS: A Real-World Multimodal Dataset for Understanding Cannabis Use, Stress, and Physiological Responses
par: Azghan, Reza Rahimi, et autres
Publié: (2025)

Intelligent Exercise and Feedback System for Social Healthcare using LLMOps
par: Choi, Yeongrak, et autres
Publié: (2025)

A Comprehensive Database of Leaf Temperature, Water, and CO 2 Fluxes in Young Oil Palm Plants Across Diverse Climate Scenarios
par: Perez, Raphael, et autres
Publié: (2026)

Heart Rate Variability Patterns Reflect Yoga Intervention in Chronically Stressed Pregnant Women: A Quasi-Randomized Controlled Trial
par: Mayer, Marlene J E, et autres
Publié: (2025)

Artificial Intelligence Enhanced Digital Nucleic Acid Amplification Testing for Precision Medicine and Molecular Diagnostics
par: Wei, Yuanyuan, et autres
Publié: (2024)

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation
par: Liu, Xinyi, et autres
Publié: (2025)

Topological Data Analysis for Unsupervised Feature Selection in Large Scale Spatial Omics Data Sets
par: Boyle, James, et autres
Publié: (2025)

Enhancing Clinical Data Warehouses with Provenance and Large File Management: The gitOmmix Approach for Clinical Omics Data
par: Wack, Maxime, et autres
Publié: (2024)

Big shells, bigger data: cohort analysis of Chesapeake Bay Crassostrea virginica reefs
par: Griffin, Madison D., et autres
Publié: (2025)

HuBMAP Data Portal: A Resource for Multi-Modal Spatial and Single-Cell Data of Healthy Human Tissues
par: Turner, Morgan L., et autres
Publié: (2025)

NPGPT: Natural Product-Like Compound Generation with GPT-based Chemical Language Models
par: Sakano, Koh, et autres
Publié: (2024)

Data-driven discovery of dynamical models in biology
par: Prokop, Bartosz, et autres
Publié: (2025)

Scaling and Data Saturation in Protein Language Models
par: Spinner, Aviv, et autres
Publié: (2025)

VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2 Evolution
par: Marathe, Vishwajeet, et autres
Publié: (2024)

Beyond Scalar Metrics: Functional Data Analysis of Postprandial Continuous Glucose Monitoring in the AEGIS Study
par: Matabuena, Marcos, et autres
Publié: (2024)

A Compact, Data-Logging Breath-Gas Analyzer
par: Lacouture, Shelby, et autres
Publié: (2025)

OMOP ETL Framework for Semi-Structured Health Data
par: Desmond, Jacob, et autres
Publié: (2025)

Quantifying the Impact of Biobanks and Cohort Studies
par: Dorantes-Gilardi, Rodrigo, et autres
Publié: (2024)

An N-of-1 Artificial Intelligence Ecosystem for Precision Medicine
par: Fard, Pedram, et autres
Publié: (2025)

Dynamic Indicators of Adherence and Retention in Digital Health Studies: A Longitudinal Observational Analysis from the Brighten Study
par: Hamitouche, Dylan, et autres
Publié: (2024)