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

Sentinel-1/2 benchmark dataset for BS for segmentation Intertidal Biogenic Structures in the Lower Saxony Wadden Sea National Park

Armin Moghimi

This dataset was developed for the manuscript entitled “A Sentinel-1/2 Benchmark Dataset and Deep Learning Models for Segmenting Intertidal Biogenic Structures in the Lower Saxony Wadden Sea National Park,” which is currently under review. At this stage, the dataset is provided exclusively for editorial and peer-review purposes. It must not be used, copied, redistributed, or cited for research or any other purpose without the authors’ prior written permission. Public access and reuse conditions will be determined after the review process has been completed.

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

TIDE: Turbulent Incompressible DNS Ensembles - datasheet, code snapshot, and benchmark split manifest

Yilong Dai, Yiming Sun, Yuehua Chen, Shengyu Chen, Peyman Givi, Xiaowei Jia, et al.

TIDE is a physically diverse 3D turbulence benchmark dataset: 15 configurations of the same incompressible Navier-Stokes system along eight physics axes (forced isotropic, extended physics, free decay), each shipping 8-16 fully independent realizations at 256^3 in fp64 (134 traje…

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

AI-Driven Intrusion Detection for the Internet of Things: A Scoping Review of Federated Learning, Privacy-Preserving Architectures, and Edge Deployability

Gilbert Aimufua, Godwin Agbonkhese

Federated learning has emerged as the dominant architectural response to the privacy and communication constraints of centralised intrusion detection in Internet of Things environments, yet the field lacks a synthesis that maps the concurrent state of architecture diversity, priv…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-08-15

Deep Learning for Human Activity Recognition: A Comprehensive Review of Architectures, Performance, and Challenges Across Five Sensory Datasets

Abeer FathAllah Brery, Ascensión Gallardo-Antolín, Mahmoud Fakhry, Israel Gonzalez-Carrasco

Human activity recognition (HAR) using sensor data allows the automatic detection of human behavior and actions in everyday environments. The development of scalable and privacy-preserving HAR systems is supported by the nonintrusive collection of time-series data using wearable…

Also available via: European Organization for Nuclear Research

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

BPS Rheumatic and Autoimmune Procurement Dataset (BPS-RAPD): Brazilian Public Healthcare Procurement Records (1997–2025)

Francisco Leonardo Alves de Moraes Sousa

## Description The **BPS Rheumatic and Autoimmune Procurement Dataset (BPS-RAPD)** is a curated dataset derived from the **Banco de Preços em Saúde (BPS)**, an official public information system maintained by the Brazilian Ministry of Health. The dataset contains public procureme…

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

Binary Dhole Optimization Algorithm with Bell-Shaped Transfer Function for Feature Selection

Hadi Aghdasi, Bnyad O. Mohammed, Shabnam Oskouei, Pedram Salehpour

This research introduces the Binary Dhole Optimization Algorithm (BDOA), a novel binary optimization method for feature selection problems inspired by the cooperative hunting behavior of dholes. Feature selection is an important task in machine learning because it can reduce comp…

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