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Computer Vision Meets Educational Robotics

Aphrodite Sophokleous, Panayiotis Christodoulou, Lefteris Doitsidis, Savvas A. Chatzichristofis • Electronics (2021)

Educational robotics has gained a lot of attention in the past few years in K-12 education. Prior studies have shown enough shreds of evidence and highlight the benefits of educational robotics as being effective in providing impactful lear...

OPENALEX cc-by DOI: https://doi.org/10.3390/electronics10060730

A Systematic YOLO-Specific Model Selection for Mechanical Fault Identification in High-Voltage Insulators

Arailym Serikbay, Venera Nurmanova, Yerbol Akhmetov, Amin Zollanvari et al. • International Transactions on Electrical Energy Systems (2025)

Regular monitoring of outdoor insulators is crucial to ensure the reliable functioning of the power grid. With recent progress in computer vision technologies, traditional manual and expensive visual inspections can now be replaced by autom...

DOAJ Open Access (DOAJ) DOI: 10.1155/etep/8669289

Performance Analysis of the SIFT Operator for Automatic Feature Extraction and Matching in Photogrammetric Applications

Francesco Nex, Davide Marenchino, Andrea Lingua • Sensors (2009)

In the photogrammetry field, interest in region detectors, which are widely used in Computer Vision, is quickly increasing due to the availability of new techniques. Images acquired by Mobile Mapping Technology, Oblique Photogrammetric Came...

DOAJ Open Access (DOAJ) DOI: 10.3390/s90503745

The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop

Hirra Anwar, Saad Ullah Khan, Muhammad Mohsin Ghaffar, Muhammad Fayyaz et al. • Sensors (2023)

Wheat stripe rust disease (WRD) is extremely detrimental to wheat crop health, and it severely affects the crop yield, increasing the risk of food insecurity. Manual inspection by trained personnel is carried out to inspect the disease spre...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23156942

VISION-LINK AI Smart Glass: An Edge-Cloud Wearable AI System for Workflow Automation and Digital Inclusion in Emerging Economies

Buhari Salisu • International Journal of AI and Advanced Computing (2026)

The rapid advancement of Artificial Intelligence (AI), wearable computing, and Internet of Things (IoT) technologies has significantly transformed digital interactions across various sectors. However, the adoption of smart wearable technolo...

DOAJ Open Access (DOAJ) DOI: 10.5281/zenodo.21981139

Assessing Wireless Sensing Potential With Large Intelligent Surfaces

Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan et al. • IEEE Open Journal of the Communications Society (2021)

Sensing capability is one of the most highlighted new feature of future 6G wireless networks. This paper addresses the sensing potential of Large Intelligent Surfaces (LIS) in an exemplary Industry 4.0 scenario. Besides the attention receiv...

DOAJ Open Access (DOAJ) DOI: 10.1109/OJCOMS.2021.3073467

Vision-Based Autonomous Landing of a Quadrotor on the Perturbed Deck of an Unmanned Surface Vehicle

Riccardo Polvara, Sanjay Sharma, Jian Wan, Andrew Manning et al. • Drones (2018)

Autonomous landing on the deck of an unmanned surface vehicle (USV) is still a major challenge for unmanned aerial vehicles (UAVs). In this paper, a fiducial marker is located on the platform so as to facilitate the task since it is possibl...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones2020015

Autonomous Robotic Platform for Precision Viticulture: Integrated Mobility, Multimodal Sensing, and AI-Based Leaf Sampling

Miriana Russo, Corrado Santoro, Federico Fausto Santoro, Alessio Tudisco • Actuators (2026)

Viticulture is facing growing economic and environmental pressures that demand a transition toward intelligent and autonomous crop management systems. Phytopathologies remain one of the most critical threats, causing substantial yield losse...

DOAJ Open Access (DOAJ) DOI: 10.3390/act15020091

An accurate, efficient, and accessible AI-powered solution for wildlife re-identification in conservation

Shahrzad Gholami, Derek E. Lee, Caleb Robinson, Monica L. Bond et al. • Scientific Reports (2026)

Abstract Accurate wildlife re-identification is critical for a wide range of ecological studies, including density estimation via capture–recapture, demographic analyses, and behavioral research. We pr esent GIRAFFE (Generalized Image-based...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-54115-w