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A <italic>&#x03BC;</italic>-Synthesis Framework for Multi-Domain Robust Load Frequency Control Under Concurrent Communication Delays and Parametric Uncertainties

Chadi Nohra, Bechara Nehme, Raymond Ghandour, Ossama Dankar et al. • IEEE Access (2026)

The integration of communication networks into modern power systems introduces variable time delays that degrade the performance of traditional Load Frequency Control (LFC), while the shift towards renewable energy sources increases system ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3675126

Evaluation of distilled water quality and production costs from a modified solar still integrated with an outdoor solar water heater

Naseer T. Alwan, S.E. Shcheklein, Obed M. Ali • Case Studies in Thermal Engineering (2021)

Solar water distillation is an effective technology for producing potable water using sustainable energy sources. However, the widespread use of this technology in industrial and domestic applications is hindered by low daily production com...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.csite.2021.101216

The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review

Maad Mijwil, Israa Ezzat Salem, Marwa M. Ismaeel • Iraqi Journal for Computer Science and Mathematics (2023)

People in the modern era spend most of their lives in virtual environments that offer a range of public and private services and social platforms. Therefore, these environments need to be protected from cyber attackers that can steal data o...

DOAJ Open Access (DOAJ) DOI: 10.52866/ijcsm.2023.01.01.008

Telehealth for Sexual and Reproductive Healthcare: Evidence Map of Effectiveness, Patient and Provider Experiences and Preferences, and Patient Engagement Strategies

Romil R. Parikh, Nishka U. Shetty, Chinar Singhal, Prachi Patel et al. • Clinics and Practice (2026)

Objective: The aim of this study was to systematically map evidence to inform best practices for sexual and reproductive healthcare delivered via telehealth (TeleSRH) in United States-based Title X-funded clinics. Methods: We searched three...

DOAJ Open Access (DOAJ) DOI: 10.3390/clinpract16010014

Saccharomyces boulardii RC009 as an alternative to prophylactic antibiotics: effects on broiler chickens, performance, and gut microbiome

Alejandra Magnoli, María Luna, Laureano Giordano, Maite Isgro et al. • Iraqi Journal of Veterinary Sciences (2026)

This study evaluates the effects of supplementing broiler chicken feed with the probiotic Saccharomyces cerevisiae var. boulardii RC009 as a sustainable alternative to prophylactic antibiotics. The focus was on productive performance, gut m...

DOAJ Open Access (DOAJ) DOI: 10.33899/ijvs.2025.166858.4600

Genetic and Psychosocial Risk Factors Associated with Suicide Among Community Veterans: Implications for Screening, Treatment and Precision Medicine

Boscarino JA, Adams RE, Urosevich TG, Hoffman SN et al. • Pharmacogenomics and Personalized Medicine (2022)

Joseph A Boscarino,1 Richard E Adams,2 Thomas G Urosevich,3 Stuart N Hoffman,4 H Lester Kirchner,1 Xin Chu,5 Weixing Shi,5 Joseph J Boscarino,6 Ryan J Dugan,1 Carrie A Withey,1 Charles R Figley7 1Department Population Health Sciences, Geisi...

DOAJ Open Access (DOAJ)

Effect of Heated Wall Corrugation on Thermal Performance in an L-Shaped Vented Cavity Crossed by Metal Foam Saturated with Copper–Water Nanofluid

Luma F. Ali, Hussein Togun, Abdellatif M. Sadeq • Computation (2025)

Practical applications such as solar power energy systems, electronic cooling, and the convective drying of vented enclosures require continuous developments to enhance fluid and heat flow. Numerous studies have investigated the enhancement...

DOAJ Open Access (DOAJ) DOI: 10.3390/computation13090218

Blockchain Metamorphosis: Transforming Traditional Finance through Decentralization and Transparency

Mays Moneer Abd Ali, Bashar M. Nema • Iraqi Journal for Computers and Informatics (2024)

This study investigates how decentralization and transparency offered by blockchain technology could revolutionize traditional finance. Even with the rise of well-known cryptocurrencies such as Bitcoin and Ethereum, a general understanding ...

DOAJ Open Access (DOAJ) DOI: 10.25195/ijci.v50i1.481

Explainable and reliable kidney CT image classification using self-supervised DeiT-Tiny transformer

Sai Sri Hemantha Konala, Srinivas Koppu • Frontiers in Medicine (2026)

IntroductionKidney-related disorders are one of the global health concerns that require timely detection to prevent severe health complications. The use of computed tomography (CT) images for accurate classification of kidney diseases is im...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2026.1893419

Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania

Romulus Costache, Hazem Ghassan Abdo, Arun Pratap Mishra, Subodh Chandra Pal et al. • Geomatics, Natural Hazards & Risk (2023)

AbstractIn this work, the vulnerability to flooding in the Prahova River basin was calculated and analyzed using advanced methods and techniques. Thus, 2 hybrid models represented by Iterative Classifier Optimizer – Multiclass Alternating D...

DOAJ Open Access (DOAJ) DOI: 10.1080/19475705.2023.2281241

A State-of-the-Art Review on Machine Learning-based Methods for Prostate Cancer Diagnosis

Ari Mohammed ali Ahmed, Aree Ali Mohammed, Professor • UHD Journal of Science and Technology (2021)

Prostate cancer can be viewed as the second most dangerous and diagnosed cancer of men all over the world. In the past decade, machine and deep learning methods play a significant role in improving the accuracy of classification for both bi...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.21928/uhdjst.v5n2y2021.pp41-47

Adaptive habitat biogeography-based optimizer for optimizing deep CNN hyperparameters in image classification

Jiayun Xin, Mohammad Khishe, Diyar Qader Zeebaree, Laith Abualigah et al. • Heliyon (2024)

Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeog...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2024.e28147

A physics-informed spatiotemporal graph neural network for photovoltaic power forecasting and micro-anomaly localization

Mortatha Faleh Majed, Ali S. Abed Al Sailawi, Hassan A. Hameed Al-Hamzawi • Next Energy (2026)

Accurate power forecasting and precise fault diagnosis are critical for the reliable operation of large-scale photovoltaic systems. However, existing data-driven models often fail to capture complex spatiotemporal dependencies and lack phys...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nxener.2026.101127