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Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis

Jan Kinne, Robert Dehghan, Sebastian Schmidt, David Lenz et al. • International Journal of Information Management Data Insights (2024)

While many digital technologies provide opportunities for creating business models that impact sustainability, some technologies, especially blockchain applications, are often criticized for harming the environment, e.g. due to high energy ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jjimei.2024.100287

Research on application of GPS-based wireless communication system in highway landslide

Zhiwen Xiong • EURASIP Journal on Wireless Communications and Networking (2021)

Abstract Machine learning is a branch of the field of artificial intelligence. Deep learning is a complex machine learning algorithm that has unique advantages in image recognition, speech recognition, natural language processing, and indus...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13638-021-02038-7

Revenue-sensitive evaluation of AI-assisted ICD-10-CM coding and human-AI collaboration under dual DRG payment systems

Ming-I. Chen, Ying-Lin Hsu, Yi-Hsin Chen • Scientific Reports (2026)

Abstract Automated ICD-10-CM coding is critical for hospital reimbursement under Diagnosis-Related Group (DRG) payment systems, yet standard metrics weight all errors equally. This study evaluated 11 models on MIMIC-IV under heterogeneous c...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-57682-0

Evaluation of the accuracy of ChatGPT-4 and Gemini’s responses to the World Dental Federation’s frequently asked questions on oral health

Aysenur Arpaci, Asel Usdat Ozturk, Ismail Okur, Sanaz Sadry • BMC Oral Health (2025)

Abstract Background The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large langua...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12903-025-06624-9

A Systematic Review of Natural Language Processing in Healthcare

Olaronke G. Iroju, Olaleke Janet • International Journal of Information Technology and Computer Science (2015)

The healthcare system is a knowledge driven industry which consists of vast and growing volumes of narrative information obtained from discharge summaries/reports, physicians case notes, pathologists as well as radiologists reports.This inf...

OPENALEX Open Access DOI: https://doi.org/10.5815/ijitcs.2015.08.07

Which factors influence public perceptions of urban attractions? — A comparative study

Zhonglin Tang, Yihui Zhao, Min Fu, Yuting Wang et al. • Ecological Indicators (2023)

To better serve the public, urban attractions must understand the public's likes and dislikes and continually adapt and optimize their service in response. However, traditional methods for gauging public opinion, such as questionnaires and ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ecolind.2023.110541

USE OF ARTIFICIAL INTELLIGENCE TO IDENTIFY AND CORRECT MISCONCEPTIONS ABOUT RADIATION

Oleksandr Tymoshchuk • Інформаційні технології і засоби навчання (2025)

The expansion of nuclear technologies in various industries, combined with the constant threat of radiation-related incidents, highlights the urgent need for effective radiation education. This study is devoted to an empirical investigation...

DOAJ Open Access (DOAJ) DOI: 10.33407/itlt.v105i1.5905

What Is Natural Language Processing?

Taweh Beysolow • Apress eBooks (2018)

Deep learning and machine learning continues to proliferate throughout various industries, and has revolutionized the topic that I wish to discuss in this book: natural language processing (NLP). NLP is a subfield of computer science that i...

OPENALEX DOI: https://doi.org/10.1007/978-1-4842-3733-5_1

THE NORTHERN LABOR MARKET IN A RESOURCE-BASED REGIONAL ECONOMY: THE CASE OF THE KHANTY-MANSIYSK AUTONOMOUS OKRUG—YUGRA

Alexander V. Prokopev, Nadezhda V. Puchkova, Natalya V. Timofeeva, Anna V. Simakova et al. • Север и рынок: формирование экономического порядка (2025)

This study examines the labor market of the Khanty-Mansi Autonomous Okrug–Yugra. The relevance of the research stems from the region’s strong dependence on natural resource reserves and production volumes, driven by the dominance of the min...

DOAJ Open Access (DOAJ) DOI: 10.37614/2220-802X.4.2025.90.004

Valorisation of agri-food by-products into bioactive compounds: Green extraction, microbial biotransformation and circular biorefinery strategies

Arjun Mohanakumar, Massimiliano Rinaldi, Jasmine Hadj Saadoun, Camilla Lazzi et al. • Applied Food Research (2026)

Agri-food processing generates large volumes of by-products that remain insufficiently exploited despite their content of phenolic compounds, peptides, polysaccharides, carotenoids, dietary fibres and other functional constituents. These si...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.afres.2026.102511

HuggingFace's Transformers: State-of-the-art Natural Language Processing

Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond et al. • arXiv (Cornell University) (2019)

Recent progress in natural language processing has been driven by advances in both model architecture and model pretraining. Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to ...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1910.03771

Natural Language Processing for Requirements Engineering

Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo et al. • ACM Computing Surveys (2021)

Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to...

OPENALEX Open Access DOI: https://doi.org/10.1145/3444689

Documenting Computer Vision Datasets

Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler et al. • ACM Conference on Fairness, Accountability, and Transparency (FAccT) (2021)

In industrial computer vision, discretionary decisions surrounding the production of image training data remain widely undocumented. Recent research taking issue with such opacity has proposed standardized processes for dataset documentatio...

OPENALEX cc-by DOI: https://doi.org/10.1145/3442188.3445880

An image based application in Matlab for automated modelling and morphological analysis of insect wings

Shahab Eshghi, Fatemeh Nabati, Shaghayegh Shafaghi, Vahid Nooraeefar et al. • Scientific Reports (2022)

Abstract Despite extensive research on the biomechanics of insect wings over the past years, direct mechanical measurements on sensitive wing specimens remain very challenging. This is especially true for examining delicate museum specimens...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-022-17859-9