Reset
Showing 20 of 1,032 academic articles

The Digital Maturity Paradox: The Divergent Impact of Network Readiness and FDI Across Development Tiers

Pahlaj Moolio, Md Jamirul Haque, Kazi Md. Nasir Uddin, Kim Geok Tan et al. • Economies (2026)

Contemporary economic growth trajectories are characterized by accelerating digital integration. However, the digital infrastructure required to accelerate growth remains unevenly distributed across development tiers. This study examines a ...

DOAJ Open Access (DOAJ) DOI: 10.3390/economies14080320

Computing with Bees: Attacking Complex Transportation Engineering Problems

Panta Lučić, Dušan Teodorović • International Journal of Artificial Intelligence Tools (2003)

The Bee System (an artificial bee swarm) is introduced in this paper. The proposed approach is applied to the Traveling Salesman Problem. The obtained results are very promising. The potential applications of the developed Bee System in the...

OPENALEX DOI: https://doi.org/10.1142/s0218213003001289

Two-Stage Framework for Efficient UAV-Based Wildfire Video Analysis With Adaptive Compression and Fire Source Detection

Yanbing Bai, Rui-Yang Ju, Lemeng Zhao, Junjie Hu et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Uncrewed Aerial Vehicles (UAVs) have become increasingly important in disaster emergency response by facilitating aerial video analysis. Due to the limited computational resources available on UAVs, large models cannot be run efficiently fo...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3685660

Neural computing in geophysics

Michael D. McCormack • The Leading Edge (1991)

The 17th century philosopher-mathematician Rene Descartes offered the statement “Cogito, ergo sum” or “I think, therefore I am” as proof of his personal existence. While modern computers using artificial intelligence technologies cannot mat...

OPENALEX DOI: https://doi.org/10.1190/1.1436771

Multitask Learning Mechanism for Remote Sensing Image Motion Deblurring

Jie Fang, Xiaoqian Cao, Dianwei Wang, Shengjun Xu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)

As a fundamental preprocessing technique, remote sensing image motion deblurring is important for visual understanding tasks. Most conventional approaches formulate the image motion deblurring task as a kernel estimation. Because the kernel...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2020.3047636

UltraFast Layer-Resolved Encoding (uFLARE) functional MRI deciphers bidirectional signaling from spontaneous activity

Joana Carvalho, Francisca F. Fernandes, Mafalda Valente, Koen V. Haak et al. • Nature Communications (2026)

Abstract Deciphering the directionality of information flow in cortical circuits is essential for understanding brain dynamics, learning, and neuroplasticity after injury. However, current noninvasive methods cannot distinguish bottom-up fr...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-026-71506-9

Resource-Constrained Edge AI Solution for Real-Time Pest and Disease Detection in Chili Pepper Fields

Hoyoung Chung, Jin-Hwi Kim, Junseong Ahn, Yoona Chung et al. • Agriculture (2026)

This paper presents a low-cost, fully on-premise Edge Artificial Intelligence (AI) system designed to support real-time pest and disease detection in open-field chili pepper cultivation. The proposed architecture integrates AI-Thinker ESP32...

DOAJ Open Access (DOAJ) DOI: 10.3390/agriculture16020223

Evaluation of artificial intelligence technology success factors for an effective supply chain using interval-valued intuitionistic fuzzy AHP method

Gülçin Büyüközkan, Celal Alpay Havle • Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2026)

The increasing complexity of supply chains in today's globalizing world has increased the importance of effective supply chain management. Consequently, businesses increasingly rely on new technologies to maintain flexibility, efficiency, a...

DOAJ Open Access (DOAJ) DOI: 10.33707/akuiibfd.1689304

The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems

África Periáñez, Ana Fernández Del Río, Ivan Nazarov, Enric Jané et al. • Health Systems & Reform (2024)

Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications focused on supply chain operation, patient manag...

DOAJ Open Access (DOAJ) DOI: 10.1080/23288604.2024.2387138

Impact of prolonged obstructive sleep apnea syndrome disease course on retinal-choroidal microcirculation: a WF-SS-OCTA study

Chaomin Chen, Xinyi Chen, Lixia Qin, Mingming Zhao et al. • Photodiagnosis and Photodynamic Therapy (2026)

Purpose: This study used wide-field swept-source optical coherence tomography angiography (WF-SS-OCTA) to evaluate changes in macular vascular density in patients with obstructive sleep apnea syndrome (OSAS) at different stages of disease d...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.pdpdt.2026.105582

A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation

Chunmei Zhang, Aoran Zhang, Li Zhang, Yonghong Yu et al. • IEEE Access (2024)

Learning high-quality representations of users, items, and tags from historical interactive data is crucial for personalized tag recommendation (PTR) systems. Currently, most PTR models are committed to learning representations from first-o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3347249

The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists

Valerio Nardone, Federica Marmorino, Marco Maria Germani, Natalia Cichowska-Cwalińska et al. • Current Oncology (2024)

The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in per...

DOAJ Open Access (DOAJ) DOI: 10.3390/curroncol31090369

Health Technologies: Transforming Scientific Knowledge into Human Health

Hüseyin Okan Durmuş • Zenodo (CERN European Organization for Nuclear Research) (2026)

Health technologies are commonly associated with medical devices, digital health platforms, robotics, and artificial intelligence. However, this perspective captures only the most visible dimension of a much broader concept. This study exam...

OPENALEX cc-by DOI: https://doi.org/10.5281/zenodo.21826977

Adopting AI Enhances Humanitarian Operations While Demanding Critical Trade-Offs

Caroline Grangier, Munzer Alkhalil, Aula Abbara • Avicenna Journal of Medicine (2026)

Artificial intelligence (AI) is increasingly impacting the cooperation sector, transforming how humanitarians are operating in the field. AI tools now allow for improved health diagnostics and quality services. In conflict areas, organizati...

DOAJ Open Access (DOAJ) DOI: 10.1055/s-0046-1822817

Advanced Digital Health Technologies for COVID-19 and Future Emergencies

Benjamin K. Scott, Geoffrey T Miller, Stephanie Jo Fonda, Ronald E. Yeaw et al. • Telemedicine Journal and e-Health (2020)

Background: Coronavirus disease 2019 (COVID-19) has led to a national health care emergency in the United States and exposed resource shortages, particularly of health care providers trained to provide critical or intensive care. This artic...

OPENALEX DOI: https://doi.org/10.1089/tmj.2020.0140

Neuropsychological Health Technologies

Svitlana Hryshchenko, Nataliia А. Beseda, Volodymyr Slobodianyk, Мирослава Миронівна Кулеша-Любінець et al. • BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE (2022)

The article reveals the problem of neuropsychological technologies for maintaining, strengthening and developing human health from early to adulthood as a set of corrective and developmental measures to ensure the relationship of an optimal...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.18662/brain/13.3/360

The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review

Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, Uttandaraman Sundararaj • Sensors (2023)

Disease diagnosis and monitoring using conventional healthcare services is typically expensive and has limited accuracy. Wearable health technology based on flexible electronics has gained tremendous attention in recent years for monitoring...

OPENALEX cc-by DOI: https://doi.org/10.3390/s23239498 PMC: 10708748

Medicine and health technology in 2018

Ryan L. Kerstein • Bulletin of The Royal College of Surgeons of England (2018)

2018 was a pretty big year for medicine and health technology. A new Health Secretary took over the political reins and reshaped the agenda ‘to revolutionise the NHS with new technology’. The RCS established the Commission on the Future of ...

OPENALEX cc-by DOI: https://doi.org/10.1308/rcsbull.2019.28