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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26Cited by 0

PredANN++: Code for Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity

Shogo Noguchi, Taketo Akama, Tai Nakamura, Shun Minamikawa, Natalia Polouliakh

Source code for the PredANN++ pipeline for EEG-based music identification using acoustic, surprisal, and entropy teacher representations.

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

A Technical Note on a Construction Method for Neural Networks Without Activation Functions (Revised Edition)

Saburo Tenda

Announcement: Revised Edition of the Technical Note Published on Zenodo A revised edition of the technical note “A Construction Method for Neural Networks Without Activation Functions” has been published on Zenodo. This updated version includes a newly added Appendix, which provi…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

Electrical resistivity tomography surveys, trained physics-informed neural network models and code for amortized ERT inversion along Route Regionale 707, Moroccan Middle Atlas

Rajae Ajana

This deposit contains the field data, synthetic training datasets, trained network weights and analysis code supporting the article "Physics-informed neural network inversion of electrical resistivity tomography data: amortized optimization with field validation in the Moroccan M…

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

Quality of Service (QoS) Optimization in 5G/6G Networks Using Neural Networks

Charis E Shiny, S Annapurna, C Lakshana, Anusha Fakirappa Bogur, S Ramesh, G R Naik

Abstract: 5G is rolled out and next generation 6G networks are also being developed, ultra-low latency (URLL) communication as a standard is critical in supporting the plethora of applications, spanning autonomous vehicles, immersive extended reality experience, etc. However, tra…

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

Implementation source code of Neural Computing and Applications (2023) 35:19279–19295 https://doi.org/10.1007/s00521-023-08717-4 ,- volV) (0123456789().,-volV)(0123456789().

Javeria Amin

Source Code for: Detection of Brain Space-Occupying Lesions Using Quantum Machine Learning", "description": "Source code for the four-phase deep-learning pipeline presented in Amin, J., Anjum, M. A., Gul, N., & Sharif, M. (2023), 'Detection of brain space-occupying lesions using…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

Graph Neural Networks for Predicting Solvability of Finite Groups

Tal Weissblat

We present a Graph Neural Network (GNN) framework for the classification of finite groups according to their solvability. Using undirected Cayley graph representations, the proposed framework learns to distinguish solvable and non-solvable groups directly from structural graph in…

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

Behavioral Provenance Detection of Malicious Python Packages using Graph Neural Networks

Umar Hakeema Tafida

The increasing reliance on third-party packages from repositories such as Python Package Index (PyPI) and Node Package Manager (NPM) has introduced critical vulnerabilities in software supply chains. Traditional security approaches, including signature-based detection and trust e…

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