Results 151 to 160 of about 649,820 (295)

Code(Python google collab version) with excel sheets to upload

HARI MESHRAM
openalex   +1 more source

http://jebas.org/uploads/409_pdf.pdf

, 2020
Faslu Rahman, Khan Sharun, Bosco Jose, Kuldeep Dhama   +3 more
openalex   +1 more source

My first upload

, 2022
Maarten Van Loo
openalex   +2 more sources

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 more
wiley   +1 more source

Data Fusion and Aggregation Methods for Pre-Processing Ambulatory Monitoring and Remote Sensor Data for Upload to Personal Electronic Health Records. [PDF]

, 2009
Bruce Moulton, Zenon Chaczko, Mark Karatovic -   +2 more
openalex  

Balme Stéphanie, Défendre et promouvoir la liberté académique. Un enjeu mondial, une urgence pour la France et l’Europe. Constats et 65 propositions d’action, Étude pour France Universités, octobre 2025, 204 p. URL : https://franceuniversites.fr/wp-content/uploads/2025/10/20251015_ Rapport_Defendre_et_promouvoir_la_liberte_academique.pdf . Consulté le 3 décembre 2025 [PDF]

Pierre Papon
openalex   +1 more source

Remote Upload of Evidence over Mobile Ad Hoc Networks [PDF]

, 2006
Indrajit Ray
openalex   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Energy-Efficient Hierarchical Federated Learning in UAV Networks with Partial AI Model Upload Under Non-Convex Loss. [PDF]

Sensors (Basel)
Li H, Wang S, Du Y, Li R, Fan X, Luo C.
europepmc   +1 more source