The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities by M. Mazhar Rathore (16896399)

“…The integration of big data analytics and artificial intelligence/machine learning (AI-ML) techniques with digital twinning, further enriches its significance and research potential with new opportunities and unique challenges. …”

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

Get full text
Get full text

The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... by Wesal Habbab (17346961)

“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”

When digital spaces matter: The influence of uniqueness and place attachment on self-identity expression with brands using generative AI on the metaverse by Farah, Maya F.

“…An empirical study was then conducted, surveying 407 UK-based users of virtual worlds who interacted with brands using generative AI on these platforms. …”
Get full text
Get full text
Get full text
Get full text

A Generative AI Chatbot in High School Advising: A Qualitative Analysis of Domain-Specific Chatbot a ChatGPT by Khalil Assayed, Suha

Get full text

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

Regulating algorithmic care in the European Union: evolving doctor–patient models through the Artificial Intelligence Act (AI-Act) and the liability directives by Barry Solaiman (19160614)

“…<p dir="ltr">This article argues that the integration of artificial intelligence (AI) into healthcare, particularly under the European Union’s Artificial Intelligence Act (AI-Act), poses significant implications for the doctor–patient relationship. …”

The distribution of toxic sources in Louisiana by Djoundourian, Salpie Sarkis

Get full text
Get full text
Get full text

Assessment of the use of dolomite for the recovery of ammonia from field landfill leachate. (c2019) by Rayshouni, Hussein

Get full text
Get full text
Get full text

The impact of Alef Platform on students’ performance at Al Asayel School in Abu Dhabi, UAE by Alyammahi, Aisha Hassan

“…AI is the enabler for many elements in this transforming economy hence it is expected to play a significant role in the paradigm shift in education. …”
Get full text

Power System Stability With High Penetration of Renewable Energy Sources: Challenges, Assessment, and Mitigation Strategies by Jana Sheikh Ali (22392121)

“…The PSS methodologies in the literature are categorized into three main categories: model-based, optimization-based, and artificial intelligence (AI)-based approaches. …”

Cyber-risk Mitigation Strategies and the Role of Artificial Intelligence in Mitigating Cyber-Risks: The Case of the United Arab Emirates Transport Sector by ALYAMMAHI, ALI SAEED ALI AHMED

“…The key research findings based on the theoretical and practical data showed that there is a significant relationship between cybersecurity considerations and cyber-risk mitigation and also there is a significant relationship between employing artificial intelligence (AI) adoption and cyber-risk mitigation. …”
Get full text

Students behaviour toward voice assistant technology in the UAE by Al Shamsi, Jawaher

Get full text

Privacy-preserving artificial intelligence in healthcare: Techniques and applications by Nazish Khalid (17685063)

“…Despite substantial research worldwide, very few AI-based applications have successfully made it to clinics. …”

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques by Abu Zitar, Raed

Get full text

Examining the Use of Generative Artificial Intelligence in Higher Education and Its Impact on Social Sustainability: An Integrated Model of UTAUT2 and T-EESST by QUNNEIS, SAI’DAH MAHMOUD

“…The research’s results indicate four factors that significantly impact the adoption of GenAI in HE—habit (HB), hedonic motivation (HM), performance expectancy (PE), and perceived trust (PT)—essentially highlighting intrinsic motivators. …”
Get full text

Speech and Language Disorders: A systematic review of corpora and future directions by Abeer Z. Al-Marridi (23059021)

Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection by ALATTAR, FUAD ABDELWAHAB ABDELQADER

“…Utilizing Sentiment Analysis techniques to monitor public opinions on social media has been an essential yet challenging task in the field of Artificial Intelligence (AI). Many studies were conducted during the last two decades to help users tracking public sentiments about entities, products, events, or other targets. …”
Get full text

Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

“…ML in bioinformatics and epidemiology in particular grew drastically, powered by the proliferation of Electronic Medical Records (EMR) in healthcare systems worldwide and the efficiency of new programmatic and computational tools supporting Artificial Intelligence (AI) application. This research motivated by the unprecedented increase in diabetes and specifically Type 2 Diabetes Miletus (T2DM), proposes two significant contributions. …”
Get full text

Prioritizing the multi-criterial features based on comparative approaches for enhancing security of IoT devices by Habib Ullah Khan (12024579)

“…The future challenge is to address the incompatibility of the authentication feature with IoT devices based on appropriate technologies. AI and machine learning are also implementable in order to detect the vulnerability of IoT devices and inform the concerned operator or administration for protection. …”