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Effect of Word Sense Disambiguation on Neural Machine Translation: A Case Study in Korean

Quang-Phuoc Nguyen, Anh-Dung Vo, Joon-Choul Shin, Cheol-Young Ock • IEEE Access (2018)

With the advent of robust deep learning, neural machine translation (NMT) has achieved great progress and recently become the dominant paradigm in machine translation (MT). However, it is still confronted with the challenge of word ambiguit...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2018.2851281

Machine learning-based diagnostic prediction of minimal change disease: model development study

Ryunosuke Noda, Daisuke Ichikawa, Yugo Shibagaki • Scientific Reports (2024)

Abstract Minimal change disease (MCD) is a common cause of nephrotic syndrome. Due to its rapid progression, early detection is essential; however, definitive diagnosis requires invasive kidney biopsy. This study aims to develop non-invasiv...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-73898-4

A feature selection and scoring scheme for dimensionality reduction in a machine learning task

PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses • Journal of Nigerian Society of Physical Sciences (2025)

Selection of important features is very vital in machine learning tasks involving high-dimensional dataset with large features. It helps in reducing the dimensionality of a dataset and improving model performance. Most of the feature select...

DOAJ Open Access (DOAJ) DOI: 10.46481/jnsps.2025.2273

Resistance to Medical Artificial Intelligence

Chiara Longoni, Andrea Bonezzi, Carey K. Morewedge • Journal of Consumer Research (2019)

Abstract Artificial intelligence (AI) is revolutionizing healthcare, but little is known about consumer receptivity to AI in medicine. Consumers are reluctant to utilize healthcare provided by AI in real and hypothetical choices, separate a...

OPENALEX Open Access DOI: https://doi.org/10.1093/jcr/ucz013

Artificial intelligence model to predict pregnancy and multiple pregnancy risk following in vitro fertilization-embryo transfer (IVF-ET)

Jen-Yu Wen, Chung-Fen Liu, Ming-Ting Chung, Yung-Chieh Tsai • Taiwanese Journal of Obstetrics & Gynecology (2022)

Objective: To decrease multiple pregnancy risk and sustain optimal pregnancy chance by choosing suitable number of embryos during transfer, this study aims to construct artificial intelligence models to predict the pregnancy outcome and mul...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.tjog.2021.11.038

Predicting Choroidal Nevus Transformation to Melanoma Using Machine Learning

Prashant D. Tailor, MD, Piotr K. Kopinski, MD, PhD, Haley S. D’Souza, MD, David A. Leske, MS et al. • Ophthalmology Science (2025)

Purpose: To develop and validate machine learning (ML) models to predict choroidal nevus transformation to melanoma based on multimodal imaging at initial presentation. Design: Retrospective multicenter study. Participants: Patients diagnos...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.xops.2024.100584

A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm

Dhanalekshmi Prasad Yedurkar, Shilpa P. Metkar, Fadi Al-Turjman, Thompson Stephan et al. • Sensors (2022)

A novel approach for multichannel epilepsy seizure classification which will help to automatically locate seizure activity present in the focal brain region was proposed. This paper suggested an Internet of Things (IoT) framework based on a...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22239302

Artificial Intelligence and Big Data in Public Health

Kurt K. Benke, Geza Benke • International Journal of Environmental Research and Public Health (2018)

Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data ...

OPENALEX cc-by DOI: https://doi.org/10.3390/ijerph15122796 PMC: 6313588

MONITORING SYSTEM FOR CRITICAL INFRASTRUCTURE OBJECTS BASED ON DIGITAL TWINS

Дмитро АНРДЄЄВ, Олексій ЛИГУН, Андрій ДРОЗД, Олена ПОНОЧОВНА • Компютерні системи та інформаційні технології (2025)

Critical infrastructures are fundamental to the seamless operation of modern societies, encompassing sectors such as energy, healthcare, transportation, and communications. Ensuring their reliability, performance, continuous operation, safe...

DOAJ Open Access (DOAJ) DOI: 10.31891/csit-2025-2-3

Leveraging Artificial Intelligence to Predict Posterior Malleolus Fracture Extension in Tibial Shaft Fractures

Junaid Aamir MBChB MRes MRCS, Chijioke Orji MBBS, MRCS, Lyndon Mason BMBS MRCS FRCS • Foot & Ankle Orthopaedics (2025)

Research Type: Level 3 - Retrospective cohort study, Case-control study, Meta-analysis of Level 3 studies Introduction/Purpose: Occult posterior malleolar fractures (PMFs) are reported commonly in tibial shaft fractures. Presurgical identif...

DOAJ Open Access (DOAJ) DOI: 10.1177/2473011425S00315

A Proposed Arabic Handwritten Text Normalization Method

Tarik Abu-Ain, Siti Norul Huda Sheikh Abdullah, Khairuddin Omar, Ashraf Abu-Ein et al. • Journal of ICT Research and Applications (2014)

Text normalization is an important technique in document image analysis and recognition. It consists of many preprocessing stages, which include slope correction, text padding, skew correction, and straight the writing line. In this side, t...

DOAJ Open Access (DOAJ) DOI: 10.5614/itbj.ict.res.appl.2013.7.2.5

Artificial Intelligence Adoption and Employee Productivity in Vietnam’s Technology Sector: Evidence From Telecommunications and IT Firms

Nguyen Trung Kien, Quang Hung Do, Nguyen Tung Duong • SAGE Open (2026)

This study investigates the impact of artificial intelligence (AI) adoption on employee productivity within Vietnam’s technology sector, with a particular focus on telecommunications and information technology firms. Using survey data colle...

DOAJ Open Access (DOAJ) DOI: 10.1177/21582440261488067

Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning

Maximilian Hoffmann, Ralph Bergmann • Proceedings of the International Florida Artificial Intelligence Research Society Conference (2023)

In Process-Oriented Case-Based Reasoning (POCBR), experiential knowledge from previous problem-solving situations is retrieved from a case base to be reused for upcoming problems. The task of retrieval is approached in previous work by usin...

DOAJ Open Access (DOAJ) DOI: 10.32473/flairs.36.133039

Advances in ligand-targeted nanodelivery systems for leukemia therapy: from single- to dual-ligand strategies

Mingxin Hu, Chaoxing He, Jintao Hao, Nannan Qi et al. • Journal of Translational Medicine (2026)

Abstract Background Leukemia is a highly heterogeneous and aggressive hematological malignancy. Current therapeutic approaches (e.g. chemotherapy, radiotherapy, small-molecule targeted therapies, and hematopoietic stem cell transplantation,...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12967-026-07966-w

Online exam cheating detection and blockchain trusted deposit based on YOLOv12

Haoliang Wang, Zarina Shukur, Khairul Akram Zainol Ariffin, Renhao Xiao et al. • Scientific Reports (2025)

Abstract In recent years, online examinations have been widely adopted because of their flexibility, but the covert and diverse nature of cheating behaviour poses a serious challenge to the fairness and integrity of examinations. Existing a...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-18412-0