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Artificial Intelligence Review

Amal Kilani, Ahmed Ben Hamida, Habib Hamam • IGI Global eBooks (2017)

In this paper, we present a profound literature review of the Artificial Intelligence (AI). After defining it, we briefly cover its history and enumerate its principal fields of application. We name for example information system, commerce,...

OPENALEX DOI: https://doi.org/10.4018/978-1-5225-2255-3.ch010

An automated deep learning framework for brain tumor classification using MRI imagery

Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports (2025)

Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-02209-2

Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework

Korawege N. C. Jayasena, Battur Batkhishig, Babak Nahid-Mobarakeh, Ali Emadi • IEEE Access (2025)

Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification of bearing fault severity is essential for predict...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3589750

Artificial Intelligence and Acute Stroke Imaging

J.E. Soun, D.S. Chow, M. Nagamine, R.S. Takhtawala et al. • American Journal of Neuroradiology (2020)

Artificial intelligence technology is a rapidly expanding field with many applications in acute stroke imaging, including ischemic and hemorrhage subtypes. Early identification of acute stroke is critical for initiating prompt intervention ...

OPENALEX cc-by DOI: https://doi.org/10.3174/ajnr.a6883 PMC: 7814792

AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction

Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang • JMIR Medical Informatics (2025)

This viewpoint article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning with multimodal clinical data, including lung imaging, pulmonary function...

DOAJ Open Access (DOAJ) DOI: 10.2196/73995

Enhancing underwater target detection: Fusion of spatio‐temporal incompletely‐aligned AIS and sonar information via DTW and multi‐head attention mechanism

Wenbo Zhao, Xinghua Cheng, Dezhi Wang, Xiaodan Xiong et al. • IET Radar, Sonar & Navigation (2024)

Abstract In the field of underwater target detection, the passive sonar is an important means of long‐distance target detection. The sonar detection information typically includes both surface and underwater targets, whereas it is a great c...

DOAJ Open Access (DOAJ) DOI: 10.1049/rsn2.12653

Neural Networks and Artificial’s Intelligence’s Algorithms in the Tasks of Diagnostics Foreign Bodies

Олександр Саленко, Віктор Черняк, Вадим Орел, Богдан Саленко • Mechanics and Advanced Technologies (2026)

The paper considers a device in which information about the presence of a foreign body a fragment in a wound is obtained using a special compact sensor: a mechanical elastic flexible rod, which is placed in a protective soft tube and connec...

DOAJ Open Access (DOAJ) DOI: 10.20535/2521-1943.2026.10.1(108).344614

Comparative architectural evaluation of CNN models with alternative classifiers for UAV-based detection of damaged green zones

Nodir Rakhimov, Jura Kuvandikov, Ma'ruf Tojiyev, Dilmurod Khasanov et al. • Frontiers in Artificial Intelligence (2026)

Unmanned aerial vehicle imagery provides a practical and high-resolution data source for monitoring the spatial condition of urban and peri-urban green zones. However, the reliable detection of damaged, stressed, or declining vegetation are...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1910842

On the practical aspects of machine learning based active power loss forecasting in transmission networks

Franko Pandžić, Ivan Sudić, Tomislav Capuder, Ivan Pavičić • IET Generation, Transmission & Distribution (2024)

Abstract The cost for covering active power losses makes a significant item in transmission system operators (TSO) annual budgets, and still it received limited attention in the existing literature. The focus of accurate power loss forecast...

DOAJ Open Access (DOAJ) DOI: 10.1049/gtd2.13205

A Primer on Generative Artificial Intelligence

Faisal Kalota • Education Sciences (2024)

Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some ...

OPENALEX cc-by DOI: https://doi.org/10.3390/educsci14020172

Artificial intelligence in recommender systems

Qian Zhang, Jie Lu B, Yaochu Jin • Complex & Intelligent Systems (2020)

Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intel...

OPENALEX cc-by DOI: https://doi.org/10.1007/s40747-020-00212-w

Artificial intelligence in medicine

AN Ramesh, C. Kambhampati, J. Quinn Monson, Philip J. Drew • Annals of The Royal College of Surgeons of England (2004)

INTRODUCTION: Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting ou...

OPENALEX Open Access DOI: https://doi.org/10.1308/147870804290 PMC: 1964229

Optimized CNN-BiLSTM framework for reactive power management and voltage profile improvement in renewable energy based power grids

Lijo Jacob Varghese, Suma Sira Jacob, Jaisiva Selvaraj, Tefera Mekonnen Azerefegn • Scientific Reports (2025)

Abstract This article describes a method for improving power grid voltage profiles by more effectively regulating reactive power through the integration of hybrid renewable energy systems (HRES) in smart grids. The unpredictable nature of r...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-24751-9

Artificial intelligence in retina

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 ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.preteyeres.2018.07.004

AI-heat transfer analysis of casson fluid in uniformly heated enclosure with semi heated baffle

Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian • International Journal of Thermofluids (2025)

The heat transfer in Casson fluid with natural convection claims various applications namely thermal regulation in biological systems, solar collectors, polymer processing, and geothermal applications to mention just a few. Owing to such mo...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijft.2025.101148

Artificial intelligence: a modern approach

Dr. Anil Kumar, Sivasubramanian Balasubramanian, Dr. Haewon Byeon, Prof. Ganesh Vasudeo Manerkar • Choice Reviews Online (1995)

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Search...

OPENALEX Open Access DOI: https://doi.org/10.5860/choice.33-1577