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MAINSTREAMING METADATA INTO RESEARCH WORKFLOWS TO ADVANCE REPRODUCIBILITY AND OPEN GEOGRAPHIC INFORMATION SCIENCE

J. Holler, P. Kedron • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022)

Reproducible open science with FAIR data sharing principles requires research to be disseminated with open data and standardised metadata. Researchers in the geographic sciences may benefit from authoring and maintaining metadata from the e...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLVIII-4-W1-2022-201-2022

Vehicular ad hoc networks verification scheme based on bilinear pairings and networks reverse fuzzy extraction

Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Ahmed Ali Ahmed, Junchao Ma et al. • Scientific Reports (2025)

Abstract Vehicular Ad-Hoc Networks (VANETs) have facilitated the massive exchange of real-time traffic and weather conditions, which have helped prevent collisions, reduce accidents, and road congestions. This can effectively enhance drivin...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-15011-x

Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum

J. de Curtò, I. de Zarzà, Juan-Carlos Cano, Carlos T. Calafate • Future Internet (2024)

This paper presents a novel approach to enhancing the security and reliability of drone communications through the integration of Quantum Random Number Generators (QRNG) in Frequency Hopping Spread Spectrum (FHSS) systems. We propose a mult...

DOAJ Open Access (DOAJ) DOI: 10.3390/fi16110412

A Secure, Intelligent, and Smart-Sensing Approach for Industrial System Automation and Transmission over Unsecured Wireless Networks

Aamir Shahzad, Malrey Lee, Neal Naixue Xiong, Gisung Jeong et al. • Sensors (2016)

In Industrial systems, Supervisory control and data acquisition (SCADA) system, the pseudo-transport layer of the distributed network protocol (DNP3) performs the functions of the transport layer and network layer of the open systems interc...

DOAJ Open Access (DOAJ) DOI: 10.3390/s16030322

Feasibility of Hemolytic Disease of the Fetus and Newborn Case Ascertainment and Assessing Its Impact on Prenatal and Postnatal Outcomes: Protocol for Observational Studies

Nana A Mensah, Michael J Fassett, Nehaa Khadka, Jiaxiao M Shi et al. • JMIR Research Protocols (2025)

BackgroundHemolytic disease of the fetus and newborn (HDFN) is a rare but serious condition caused by maternal-fetal red blood cell antigen incompatibility. In an affected pregnancy, maternal immunoglobulin G antibodies cross the placenta a...

DOAJ Open Access (DOAJ) DOI: 10.2196/77836

TransCat: a hybrid CNN-transformer network with KAN for medical image segmentation

Jin Wang, Zhenghua Yang, Dongming Zhou, Dongming Zhou et al. • Frontiers in Bioinformatics (2026)

Medical image segmentation is a fundamental task in computer vision and plays an important role in clinical diagnosis and treatment planning. Existing methods are mainly built on either convolutional neural networks (CNNs) or Transformer-ba...

DOAJ Open Access (DOAJ) DOI: 10.3389/fbinf.2026.1849059

Monitoring the spread of a pathogenic insect on vineyards using UAS

V. Longhi, A. Martino, A. M. Lingua, P. F. Maschio et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2024)

Globalisation has contributed to rapid economic growth but has also exposed vulnerabilities such as the spread of pests in agriculture. An example is the Popillia Japonica Newman beetle, introduced to Italy in 2014, which has caused signifi...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-archives-XLVIII-1-2024-443-2024

Fashion Meets Computer Vision

Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati et al. • ACM Computing Surveys (2021)

Fashion is the way we present ourselves to the world and has become one of the world’s largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention from computer vision researchers in recent years. Given the rap...

OPENALEX Open Access DOI: https://doi.org/10.1145/3447239