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Academic Articles & Research Papers
Showing 20 of 100 academic articles
Solveig Badillo, Balázs Bánfai, Fabian Birzele, Iakov I. Davydov et al. • Clinical Pharmacology & Therapeutics
(2020)
In the last few years, machine learning (ML) and artificial intelligence have seen a new wave of publicity fueled by the huge and ever-increasing amount of data and computational power as well as the discovery of improved learning algorithm...
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DOI: https://doi.org/10.1002/cpt.1796
PMC: 7189875
Jian Liu, Fangyu Liu, Linbing Wang • Journal of Traffic and Transportation Engineering (English ed. Online)
(2024)
The increasing impact of the greenhouse effect on ecosystems is prompting transportation agencies to seek methods for reducing CO2 emissions during pavement construction and maintenance. Additionally, the laboratory mix design process, whic...
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Open Access (DOAJ)
DOI: 10.1016/j.jtte.2023.10.002
Ifiok Udoidiok, Fuhao Li, Jielun Zhang • Information
(2025)
Machine learning (ML) has become a cornerstone of critical applications, but its vulnerability to data poisoning attacks threatens system reliability and trustworthiness. Prior studies have begun to investigate the impact of data poisoning ...
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Open Access (DOAJ)
DOI: 10.3390/info17010009
Johannes Leiner, Vincent Pellissier, Sebastian König, Sven Hohenstein et al. • Respiratory Research
(2022)
Abstract Background Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both i...
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Open Access (DOAJ)
DOI: 10.1186/s12931-022-02180-w
Majid Riaz, Pedro Guerra, Raffaele Gravina • Sensors
(2025)
This paper introduces an innovative EEG sensor-based computational framework that establishes a pioneering nexus between personality trait quantification and neural dynamics, leveraging biosignal processing of brainwave activity to elucidat...
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Open Access (DOAJ)
DOI: 10.3390/s25247634
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...
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Open Access (DOAJ)
DOI: 10.1016/j.xops.2024.100584
Maria Lamarca, Maria Lamarca, Maria Lamarca, Maria Lamarca et al. • Frontiers in Psychiatry
(2026)
BackgroundWhile psychological interventions are effective at improving symptoms of psychosis, accessible, cost- and time-efficient treatments remain limited. Personalized medicine has emerged as a promising approach, tailoring interventions...
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Open Access (DOAJ)
DOI: 10.3389/fpsyt.2026.1711659
John Howard • American Journal of Industrial Medicine
(2019)
Artificial intelligence (AI) is a broad transdisciplinary field with roots in logic, statistics, cognitive psychology, decision theory, neuroscience, linguistics, cybernetics, and computer engineering. The modern field of AI began at a smal...
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DOI: https://doi.org/10.1002/ajim.23037
Yongjun Xu, Xin Liu, Xin Cao, Changping Huang et al. • The Innovation
(2021)
Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day li...
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DOI: https://doi.org/10.1016/j.xinn.2021.100179
PMC: 8633405
Shaqayeq Saffari, Morteza Dorrigiv, Farzin Yaghmaee • Journal of Artificial Intelligence and Data Mining
(2024)
Procedural Content Generation (PCG) through automated and algorithmic content generation is an active research field in the gaming industry. Recently, Machine Learning (ML) approaches have played a pivotal role in advancing this area. While...
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Open Access (DOAJ)
DOI: 10.22044/jadm.2025.15016.2603
Yuri Yin‐Moe Aung, David Wong, Daniel Shu Wei Ting • British Medical Bulletin
(2021)
INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) are rapidly evolving fields in various sectors, including healthcare. This article reviews AI's present applications in healthcare, including its benefits, limitations and...
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DOI: https://doi.org/10.1093/bmb/ldab016
Ebtisam AlJalaud, Manar Hosny • Mathematics
(2024)
The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...
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Open Access (DOAJ)
DOI: 10.3390/math12233727
Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access
(2023)
Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3332243
Renjie Wang, Wei Dong Pan, Lei Jin, Yuehan Li et al. • Reproduction
(2019)
Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from the experimental to the implementation phase in various fields, including medicine. Advances in learning algorithms and theories, the availabilit...
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DOI: https://doi.org/10.1530/rep-18-0523
PMC: 6733338
A. M. Mutawa, Khalid Sabti, Bibin Shalini Sundaram Thankaleela, Seemant Raizada • Frontiers in Artificial Intelligence
(2026)
Diabetic macular edema (DME) is a primary contributor to visual impairment in diabetic patients, necessitating precise and prompt analysis for optimal treatment. Recent breakthroughs in deep learning (DL) and machine learning (ML) have yiel...
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Open Access (DOAJ)
DOI: 10.3389/frai.2026.1684752
Mulugeta Kassaw Tefera, Zengwang Jin, Shengbing Zhang • Sensors
(2022)
With the proliferation of 5G mobile networks within next-generation wireless communication, the design and optimization of 5G networks are progressing in the direction of improving the physical layer security (PLS) paradigm. This phenomenon...
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Open Access (DOAJ)
DOI: 10.3390/s22093589
Al Amin Biswas • Array
(2024)
Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited due to the transparency issue, which is considered ...
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Open Access (DOAJ)
DOI: 10.1016/j.array.2024.100345
Jaya Yadav, Shruti Shukla, Kanika Sharma, Nupur Soni et al. • International Conference on Computation, Automation and Knowledge Management (ICCAKM)
(2022)
The industrial revolution has been the main cause ever since tremendous technological advancement was observed. The ubiquitous deployment of recent information and communication technologies (ICT), namely Artificial Intelligence (AI), Inter...
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DOI: https://doi.org/10.1109/iccakm54721.2022.9990098
Ursula Margarethe Schmidt-Erfurth, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein et al. • Progress in Retinal and Eye Research
(2018)
Major advances in diagnostic technologies are offering unprecedented insight into the condition of the retina and beyond ocular disease. Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in ...
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DOI: https://doi.org/10.1016/j.preteyeres.2018.07.004
Shalindu Malshan Jayawickrama, Piyumi Madhushani Ranaweera, Ratupaskatiye Gedara Gunaratnege Roshan Pradeep, Yovanthi Anurangi Jayasinghe et al. • Cancer Reports
(2024)
Abstract Background Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic...
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Open Access (DOAJ)
DOI: 10.1002/cnr2.2045