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Highly efficient photonic PCR system based on plasmonic heating of gold nanofilms

Joshua Nabuti, Ahmed Rashad Fath Elbab, Ahmed Abdel-Mawgood, Matsushita Yoshihisa et al. • Biosensors and Bioelectronics: X (2023)

The polymerase chain reaction (PCR) is a standard molecular method that has the potential to solve the need for accurate, viable, and immediate infectious pathogen detection at point-of-care (POC) centers in different fields such as pathoge...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.biosx.2023.100346

Artificial intelligence-based masked face detection: A survey

Khalid M. Hosny, Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza • Intelligent Systems with Applications (2024)

The COVID-19 virus is causing a global pandemic. The total number of new coronavirus cases worldwide by the end of November 2020 had already surpassed 60 million. The World Health Organization (WHO) has determined that wearing masks is a cr...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.iswa.2024.200391

A comprehensive analytical assessment of dino-based architectures for sustainable automated potato inspection in the Al Kharj Region

Zahraa Tarek, Esraa Hasan • Journal of the Saudi Society of Agricultural Sciences (2026)

Abstract Self-supervised learning (SSL) has emerged as a pivotal paradigm in computer vision, particularly for applications where labeled data are limited, costly, or labor-intensive to obtain. This paradigm is especially relevant to sustai...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44447-026-00151-x

التعليم الإلکترونى ودوره فى فن الجرافيک بکليات الفنون الجميلة لمواکبة تکنولوجيا العصر

أحمد أحمد • Journal of Distance Learning and Open Learning (2014)

Search provides a vision of the importance of e-learning and its objectives and its features and benefits , and their strategies as well as Arab and international experiences that have to go to be applied in different educational environmen...

DOAJ Open Access (DOAJ) DOI: 10.21608/jdlol.2014.54912

A COMPARATIVE STUDY ON REINFORCEMENT LEARNING BASED VISUAL DIALOG SYSTEMS

Mostafa Aref, Ghada Elshamy, Marco Alfonse, Islam Hegazy • International Journal of Intelligent Computing and Information Sciences (2024)

Recently the conjunction between vision and language has created many intersecting tasks as visual question-answering systems, image captioning, etc. Specifically, dialog systems that depend on a visual scene play an important role in impro...

DOAJ Open Access (DOAJ) DOI: 10.21608/ijicis.2024.295310.1339

A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification

Samy Bakheet, Ayoub Al-Hamadi • Brain Sciences (2021)

Due to their high distinctiveness, robustness to illumination and simple computation, Histogram of Oriented Gradient (HOG) features have attracted much attention and achieved remarkable success in many computer vision tasks. In this paper, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/brainsci11020240

Quantum Leap in Healthcare: A Comparative Analysis of AI/ML and Quantum Computing for Healthcare opportunities of the new era

salma mostafa ahmed helmy, Salsabil Amin, Abeer mahmoud, El-Sayed El-Horabty • International Journal of Intelligent Computing and Information Sciences (2026)

The healthcare sector is undergoing rapid transformation driven by advances in artificial intelligence and machine learning, with quantum computing emerging as the next major breakthrough. This paper presents a comparative analysis of class...

DOAJ Open Access (DOAJ) DOI: 10.21608/ijicis.2026.442636.1439

Heart Disease Detection using ML and ES (Smart Wearable Health Monitoring System)

Marwan Aly, Mostafa Kamal, Mahmoud Ossman, Kamel El-Sehly et al. • Kafrelsheikh Journal of Information Sciences (2021)

This paper proposed a smart wearable system for heart disease detection using machine learning and embedded systems. A smart wearable system that able to monitor the heart beat rate condition of patient. The heart beat rate is detected usin...

DOAJ Open Access (DOAJ) DOI: 10.21608/kjis.2021.42695.1009

Machine learning and data-driven prediction of pore pressure from geophysical logs: A case study for the Mangahewa gas field, New Zealand

Ahmed E. Radwan, David A. Wood, Ahmed A. Radwan • Journal of Rock Mechanics and Geotechnical Engineering (2022)

Pore pressure is an essential parameter for establishing reservoir conditions, geological interpretation and drilling programs. Pore pressure prediction depends on information from various geophysical logs, seismic, and direct down-hole pre...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jrmge.2022.01.012

Evaluation of the Applications of using Global free Digital Elevation Models and GNSS-RTK data for Agricultural purposes in Egypt using Machine Learning

Ashraf abdallah, Bara' Al-MISTAREHI, Amir SHTAYAT • JES: Journal of Engineering Sciences (2025)

Agriculture is a vital component of Egypt's economy; therefore, using Digital Elevation Models (DEMs) in agricultural planning in Egypt has significant benefits regarding water management, site appropriateness assessment, flood risk mitigat...

DOAJ Open Access (DOAJ) DOI: 10.21608/jesaun.2024.326709.1374

Artificial Intelligence Voluntary Disclosures and Their Effect on Firms’ Financial Performance: Evidence from Egypt Firms on the EGX30 Index

suzy elnokoudy • المجلة العلمية للدراسات والبحوث المالية والتجارية (2025)

The present paper, thus, investigates the link between AI-disclosure in annual reports and firm performance in the Egyptian financial industry. It explains how the number of appertained AI-words in the corporate disclosures would correspond...

DOAJ Open Access (DOAJ) DOI: 10.21608/cfdj.2024.326666.2065

Fuzzy harmonic mean technique for solving fully fuzzy multilevel multiobjective linear programming problems

E. Fathy, A.E. Hassanien • Alexandria Engineering Journal (2022)

This paper illustrates how the fuzzy harmonic mean technique can efficiently solve fully fuzzy multilevel multiobjective linear programming (FFMMLP) problems. First, at each level, the FFMMLP problem can be converted into three crisp multio...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.aej.2022.01.021

Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches

T. Anitha Kumari, Sanket Mishra • Egyptian Informatics Journal (2024)

The integration of sensors in the monitoring of essential bodily measurements, air quality, and energy consumption in buildings demonstrates the importance of the Internet of Things (IoT) in everyday life. These security breaches are caused...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.eij.2024.100520

Membrane surface wettability and roughness under operating conditions and their implications for membrane performance

Rawda Serag, M. Bassyouni, Fathy Shokry, Monica Toderaș et al. • Desalination and Water Treatment (2026)

Membrane wettability is an important factor influencing separation efficiency, fouling resistance, water flux, and durability. Although membrane wetting has been extensively studied, few reviews have quantitatively examined the relationship...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dwt.2026.101951