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Artificial intelligence for pediatric height prediction using large-scale longitudinal body composition data

Dohyun Chun, Hae Woon Jung, Jongho Kang, Woo Young Jang et al. • Digital Health (2025)

Objective We developed a precise, reliable artificial intelligence (AI) model for predicting the future height of children and adolescents based on anthropometric and body composition data. Materials and Methods We used an extensive longitu...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076251395975

Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan

Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid et al. • ISPRS International Journal of Geo-Information (2024)

While socioeconomic gradients in regional health inequalities are firmly established, the synergistic interactions between socioeconomic deprivation and climate vulnerability within convenient proximity and neighbourhood locations with heal...

DOAJ Open Access (DOAJ) DOI: 10.3390/ijgi13090330

Healthcare professionals' and students' perspectives on artificial intelligence in clinical documentation in eastern Saudi Arabia: Factors influencing adoption and utilization

Nouf Khalid Al-Kahtani, Arun Vijay Subbarayalu, Vinoth Raman, Mona M. Jamjoom et al. • Informatics in Medicine Unlocked (2025)

The increasing universal acceptance of artificial intelligence (AI) in healthcare systems is driving advancements, with clinical documentation at the forefront. This research aimed to gain insight into the views, perspectives, and influenci...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.imu.2025.101710

Practices of artificial intelligence to improve the business in Bangladesh

Md. Touhidul Islam, Md. Mahadi Hasan, Md. Redwanuzzaman, Md. Kamal Hossain • Social Sciences and Humanities Open (2024)

This research paper explores the practices of artificial intelligence (AI) and its impact on improving businesses in Bangladesh through the review of existing literature and primary data analysis. Additionally, a conceptual analysis has bee...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ssaho.2023.100766

The influence of the Fourth Industrial Revolution on organisational culture: An empirical investigation

Shwetha Singaram, Claude-Hélène Mayer • Frontiers in Psychology (2022)

The Fourth Industrial Revolution (4IR) is known to transform and create opportunities for the world of work. However, little is known about how the future workforce, such as university students, are being equipped and exposed to 4IR technol...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2022.919157

Explainable machine learning in materials science

Xiaoting Zhong, Brian J. Gallagher, Shusen Liu, Bhavya Kailkhura et al. • npj Computational Materials (2022)

Abstract Machine learning models are increasingly used in materials studies because of their exceptional accuracy. However, the most accurate machine learning models are usually difficult to explain. Remedies to this problem lie in explaina...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41524-022-00884-7

NANOTECHNOLOGY

• Chemical & Engineering News (2003)

IN THIS C&EN EXCLUSIVE "POINT-COUNTERPOINT," TWO OF nanotechnolog's biggest advocates square off on a fundamental question that will dramatically affect the future development of this field. Are "molecular assemblers"—devices capable of pos...

OPENALEX DOI: https://doi.org/10.1021/cen-v081n048.p037

Editorial

Anna Szychta • Zeszyty Teoretyczne Rachunkowości (2025)

Dear Authors and Readers,The closing issue of “Zeszyty Teoretyczne Rachunkowości” (ZTR, “The Theoretical Journal of Accounting”) for 2025, vol. 49, number 4, once again provides an engaging and multidimensional review of contemporary resear...

DOAJ Open Access (DOAJ) DOI: 10.5604/01.3001.0055.5421

Review of cryptographic application security evaluation techniques for new critical infrastructures

Gaolei LI, Jianhua LI, Zhihong ZHOU, Hao ZHANG • 网络与信息安全学报 (2023)

The construction of new critical infrastructure, represented by high-speed full-time signal coverage, intelligent and fine-grained urban management, and deep space and deep sea scientific innovation experimental fields, has entered a new st...

DOAJ Open Access (DOAJ) DOI: 10.11959/j.issn.2096-109x.2023079

Integrating sensor data and GAN-based models to optimize medical university distribution: a data-driven approach for sustainable regional growth in Saudi Arabia

Abdullah Addas, Abdullah Addas, Muhammad Nasir Khan, Muhammad Tahir et al. • Frontiers in Education (2025)

IntroductionThe regional disparity in higher education access can only be met when there are strategies for sustainable development and diversification of the economy, as envisioned in Saudi Vision 2030. Currently, 70% of universities are c...

DOAJ Open Access (DOAJ) DOI: 10.3389/feduc.2025.1527337

Does AI affect job burnout and insecurity differently by gender? A fuzzy-set qualitative comparative analysis (fsQCA) of 26 university faculty cases

Heran Guan, Rossilah Binti Jamil • Computers in Human Behavior Reports (2025)

With the development of artificial intelligence technology, university lecturers are experiencing a series of reactions that may occur after changing traditional teaching methods. This study uses 26 Chinese university lecturers as a sample,...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.chbr.2025.100766

Open Innovations for Tourism Logistics Design: A Case Study of a Smart Bus Route Design for the Medical Tourist in the City of Greater Mekong Subregion

Sumalee Ngeoywijit, Tawamin Kruasom, KiengKwan Ugsornwongand, Rapeepan Pitakaso et al. • Journal of Open Innovation: Technology, Market and Complexity (2022)

ABSTRACT: One of the industries with the fastest growth rates worldwide, and notably in Thailand, is medical tourism. With connections to Cambodia and Laos, Ubon Ratchathani is located in lower northeastern Thailand, close to Vietnam and My...

DOAJ Open Access (DOAJ) DOI: 10.3390/joitmc8040173

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