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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24Cited by 0

Runtime-Slayers/RhizoWhisperer: RhizoWhisperer

sepas1609

RhizoWhisperer (RHIZO-NET) is an end-to-end deep learning framework, topological graph phenotyping engine, and edaphic climate-resilience platform for precision agriculture. It integrates custom computer vision models, soft skeletonization topology extraction, multi-modal PyG GNN fusion, ISRIC SoilGrids chemical profiling, and TNAU agronomic recommendation engines.

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Runtime-Slayers/microfluidic_Device_part_2: microfluidic_Device_part_2

sepas1609

An end-to-end computational framework and interactive web suite for designing, simulating, and optimizing Four-Stage Passive Microfluidic Blood Cell Filters using Deterministic Lateral Displacement (DLD) and Deep Learning Surrogate Models. By replacing hours of computationally ex…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-14

Data of the paper: "A probabilistic digital twin framework for corrosion-fatigue prognosis of floating offshore wind turbines"

Yasmin Ali, Ahmed Elgammal, Chengjun Li, Junlin Heng, Kaoshan Dai

These are the data and results reported in the paper "A probabilistic digital twin framework for corrosion-fatigue prognosis of floating offshore wind turbines".

Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-12

Research data and code supporting "Label-free biochemical imaging and time point analysis of neural organoids via deep learning–enhanced Raman microspectroscopy"

Dimitar Georgiev, Ruoxiao Xie, Daniel Reumann, X Zhao, A. Fernandez-Galiana, Mauricio Barahona, et al.

This repository contains the datasets and source code associated with Georgiev et al., Science Advances (2026). https://doi.org/10.1126/sciadv.aec5080 To get started with the software, visit our GitHub repository. The software provides both a graphical user interface (GUI) and a…

Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-11

Low Dose and High Contrast Biomedical Imaging Using SelfSupervised Deep Learning

Xiao Fan Ding, Xiaoman Duan, Ning Zhu

Self-supervised deep learning has emerged as a powerful method for image enhancement when a priori ground-truth references are not available. Stemming from Noise2Noise , it was shown that a convolutional neural network (CNN) can be trained from a noisy input and target pair of th…

Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-09

Recent Advances in Artificial Intelligence for Health Care

Bhagyajyothi S. Kannur

Artificial intelligence (AI) has rapidly become a transformative force in health care, enhancing diagnostic accuracy, treatment planning, patient monitoring, and operational efficiency. This article explores advanced and emerging AI techniques-such as deep learning, reinforcement…

Also available via: European Organization for Nuclear Research

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-14

Auditable AI Decision Intelligence for Aviation MRO A KPI Governance Architecture

SeyyedAbdolHojjat MoghadasNian

Aviation Maintenance, Repair and Overhaul (MRO) organizations increasingly possess enterprise resource planning data, inventory records, work-order histories, procurement evidence, quality documentation, finance approvals, and customer commitments, yet many operational decisions…

Also available via: European Organization for Nuclear Research

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