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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)2026-07-23

SPADE OC2 Mediterranean Trefoil crop dataset (T1) - VITAFields – Visual Intelligence for Targeted Agriculture #4

George Kougianos, Athanasios Kerasiotis, Maria Petsa, Emmanouil Taoulai

This dataset release represents Part 4 of the comprehensive young trefoil crop agricultural analysis project. While Part 1, Part 2 and Part 3 provided the raw image captures and camera parameters and machine-learning-ready image tiles. Part 4 delivers fully processed, georeferenc…

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

QSM-CI method: BFRnet (v1)

Xuanyu Zhu, Yang Gao, Feng Liu, Stuart Crozier, Hongfu Sun

Deep-learning background field removal (BFRnet): a 3D dual-frequency octave-convolution U-net trained to predict the background field of the brain — including brains with significant pathological susceptibility sources (haemorrhage, calcification). Consumes the total field (ppm)…

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

QSM-CI method: INR-QSM (v1)

M. Zhang, Feng R., Li Z., Feng J., Wu Q, Zhang Z., et al.

INR-QSM — a subject-specific UNSUPERVISED deep-learning dipole inversion using an implicit neural representation. No pretrained weights: a sine-activated coordinate MLP (SIREN) is OPTIMIZED per-subject so that the susceptibility it represents, pushed through the QSM dipole forwar…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

Data from: Automated Ethogram Elaboration: A Cross-species Deep-learning Model Deployed On-board Enables Acceleration-triggered Capture of Diverse Behavioural Video

Tsuneari Kuroiwa

This record contains field-deployment datasets for two seabird species, streaked shearwaters and black-tailed gulls, used in the paper “Automated Ethogram Elaboration: A Cross-species Deep-learning Model Deployed On-board Enables Acceleration-triggered Capture of Diverse Behaviou…

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

OpenAI — An Independent Governance and Behavioural Assessment.

Ankit Musaddi

This paper presents an independent external assessment of OpenAI — the OpenAI Group PBC, the controlling OpenAI Foundation, and its publicly released GPT-series and o-series models — benchmarked against four governance frameworks: the EU AI Act (including its general-purpose AI a…

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