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Showing 14 of 34 academic articles

New topic horizons for drone systems and applications

Karen Anderson, Brandi M. Shabaga, Serge Wich, Geoff Fink et al. • Drone Systems and Applications (2023)

Summary This journal (Drone Systems and Applications; DSA) conducted a targeted “horizon scan” during 2022 within our team of editors and associate editors. We asked—Which research areas currently under-represented in Drone Systems and Appl...

DOAJ Open Access (DOAJ) DOI: 10.1139/dsa-2023-0019

Addressing practical challenge of using autopilot drone for asphalt surface monitoring: Road detection, segmentation, and following

Hormazd Ranjbar, Perry Forsythe, Alireza Ahmadian Fard Fini, Mojtaba Maghrebi et al. • Results in Engineering (2023)

According to the recent world bank report, around 80% of a life-cycle cost of a road is devoted to maintenance which includes monitoring and repair processes. To more effectively keep road serviceability, knowing the current status of road ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rineng.2023.101130

CG-DINO: Improved Network for Small Object Detection in Uncrewed Aerial Vehicle Imagery Based on DINO

Jian Liu, Pei Niu, Yihui Jiang, Zilong Zhao et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Object detection in uncrewed aerial vehicle (UAV) acquired images remains a challenging task due to extreme scale variation, dense object layouts, and complex backgrounds, etc. Although convolutional neural networks (CNNs), transformers, an...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3729713

Systemic Review and Meta-Analysis: The Application of AI-Powered Drone Technology with Computer Vision and Deep Learning Networks in Waste Management

Tyrone Bright, Sarp Adali, Cristina Trois • Drones (2025)

As the generation of Municipal Solid Waste (MSW) has exponentially increased, this poses a challenge for waste managers, such as municipalities, to effectively control waste streams. If waste streams are not managed correctly, they negative...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones9080550

An AI-Based Deep Learning with K-Mean Approach for Enhancing Altitude Estimation Accuracy in Unmanned Aerial Vehicles

Prot Piyakawanich, Pattarapong Phasukkit • Drones (2024)

In the rapidly evolving domain of Unmanned Aerial Vehicles (UAVs), precise altitude estimation remains a significant challenge, particularly for lightweight UAVs. This research presents an innovative approach to enhance altitude estimation ...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8120718

Rider Optimization With Deep Learning Based Image Encryption for Secure Drone Communication

N. Kannaiya Raja, E. Laxmi Lydia, Thumpala Archana Acharya, K. Radhika et al. • IEEE Access (2023)

In recent years, drones or Unmanned Aerial Vehicles (UAVs) got significant attention among researchers because of their extensive application in commercial applications, border surveillance, etc. As the conventional terrestrial communicatio...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3324068

UAV-Embedded Sensors and Deep Learning for Pathology Identification in Building Façades: A Review

Gabriel de Sousa Meira, João Victor Ferreira Guedes, Edilson de Souza Bias • Drones (2024)

The use of geotechnologies in the field of diagnostic engineering has become ever more present in the identification of pathological manifestations in buildings. The implementation of Unmanned Aerial Vehicles (UAVs) and embedded sensors has...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8070341

Leveraging AI to Estimate Caribou Lichen in UAV Orthomosaics from Ground Photo Datasets

Galen Richardson, Sylvain G. Leblanc, Julie Lovitt, Krishan Rajaratnam et al. • Drones (2021)

Relating ground photographs to UAV orthomosaics is a key linkage required for accurate multi-scaled lichen mapping. Conventional methods of multi-scaled lichen mapping, such as random forest models and convolutional neural networks, heavily...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones5030099

التحديات التي تثيرها الأسلحة ذاتية التشغيل كأحد تقنيات الذكاء الاصطناعي

هاني محمد خليل إبراهيم العزازي • Al-Maǧallah Al-Qānūniyyaẗ (2024)

صاحب التطور في تكنولوجيا الذكاء الاصطناعي تطوراً مماثلاً في أساليب ووسائل القتال, فظهرت أسلحة جديدة قادرة في ذاتها على تحديد أهدافها والاشتباك معها دون حاجة إلى تدخل بشري, ولذلك أطلق عليها "نظم الأسلحة ذاتية التشغيل" Autonomous Weapons Syst...

DOAJ Open Access (DOAJ) DOI: 10.21608/jlaw.2024.354448

Achieving health equity through healthcare technology: Perspective from India

Prakamya Gupta, Ranjan Choudhury, Atul Kotwal • Journal of Family Medicine and Primary Care (2023)

India aims to provide universal health coverage to all individuals and communities thus ensuring accessibility, promotive, curative, preventive, rehabilitative, and palliative health services to all. Healthcare technologies play a critical ...

DOAJ Open Access (DOAJ) DOI: 10.4103/jfmpc.jfmpc_321_23

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

ID-Det: Insulator Burst Defect Detection from UAV Inspection Imagery of Power Transmission Facilities

Shangzhe Sun, Chi Chen, Bisheng Yang, Zhengfei Yan et al. • Drones (2024)

The global rise in electricity demand necessitates extensive transmission infrastructure, where insulators play a critical role in ensuring the safe operation of power transmission systems. However, insulators are susceptible to burst defec...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8070299