Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis by Naeem, Shahzeb

“…We also apply machine learning algorithms to establish a baseline for deepfake detection on this dataset, contributing to the detection of fraudulent sign language videos.…”
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Automatic keyword extraction from a real estate classifieds data set by Devassy, Dibin

“…In this age where information and internet technologies are developing at a radical pace, users have the access to large amount of documents and information online. …”
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A utility minimization approach for energy-aware cooperative content distribution with fairness constraints by Yaacoub, Elias

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Autonomous Vehicles Delivery Systems: Analyzing Vehicle Routing Problems with a Moving Depot by Madani, Batool Mezar

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Conceptualisation study for using RFID as a stand-alone vehicle positioning system by Saab, Samer S.

“…This paper examines the possibility for using RFID technology as a complete stand-alone vehicle positioning system. …”
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Video Streaming over D2D Networks by Ahmed, Ibtihal Mohamed Taha

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The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

“…The risk of cyberattacks targeting financial, military, and political systems has increased due to the wide use of technology. Cybersecurity has become vital in information technology, with data protection being a major priority. …”

An intelligent EPROM silicon compiler by Amin, A.

“…Routing algorithms are then used to connect these blocks into a full chip…”
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Deep and transfer learning for building occupancy detection: A review and comparative analysis by Aya Nabil Sayed (17317006)

“…Moreover, the paper conducted a comparative study of the readily available algorithms for occupancy detection to determine the optimal method in regards to training time and testing accuracy. …”

Computational Methods for Breast Cancer Molecular Profiling using Routine Histopathology: A Review by Suchithra Kunhoth (5178125)

“…Recent advancements in artificial intelligence (AI) have enabled digital pathology to analyze histopathologic images for both targeted molecular and broader omic biomarkers, marking a pivotal step in personalized cancer care. These technologies offer the capability to extract various biomarkers such as genomic, transcriptomic, proteomic, and metabolomic markers directly from the routine hematoxylin and eosin (H&E) stained images, which can support treatment decisions without the need for costly molecular assays. …”

Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE by Mathew, Elezabeth

“…The hospitality industry is growing at an increasingly fast pace across the world which results in accumulating a large amount of data, including employee details, property details, purchase details, vendor details, and so on. …”
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Generative AI revolution in cybersecurity: a comprehensive review of threat intelligence and operations by Mueen Uddin (4903510)

“…On the other hand, Generative Artificial Intelligence (GAI) technology offers an efficient way to automatically address these issues with the help of AI models and algorithms. …”

Data Endowment as a Digital Waqf: An Islamic Ethical Framework for AI Development by Abdulqadir J. Nashwan (11659453)

“…</p><h2>Other Information</h2><p dir="ltr">Published in: Philosophy & Technology<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s13347-025-00905-5" target="_blank">https://dx.doi.org/10.1007/s13347-025-00905-5</a></p>…”

What are artificial intelligence literacy and competency? A comprehensive framework to support them by Thomas K.F., Chiu

“…Artificial intelligence (AI) education in K–12 schools is a global initiative, yet planning and executing AI education is challenging. …”
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The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review by Uzair Shah (15740699)

“…The most prominent ML algorithm was a support vector machine, and the DL algorithm was a convolutional neural network. …”

Enhancing resilience in the liquefied natural gas supply chain: A focus on chemical supply continuity by Al-Khatib, Maryam

“…Risk analysis identifies 50 supplies in the LNG supply chain. Using a clustering algorithm, eight critical supplies were identified. …”
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A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities by Muhammad Mazhar Rathore (17051745)

“…Traditional graph algorithms with efficient implementation technologies are employed to respond to commuters’ and authorities’ needs in order to achieve a smart and optimum transportation system. …”

A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis by Alaa Abd-Alrazaq (17430900)

“…Specifically, we used a clustering algorithm to group published articles based on the similarity of their abstracts to identify research hotspots and current research directions. …”

Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges by Muhammad Mohsin Khan (22303366)

“…A comprehensive search was performed in PubMed, IEEE Xplore, Scopus, and Google Scholar. …”

Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring by Aya Nabil Sayed (17317006)

“…Home-Assistant provides a user-centric approach to the <u>DT technology</u>, allowing homeowners to establish and oversee virtual replicas of their living spaces by incorporating a variety of<u> Internet of Things</u> (IoT) devices and sensors. …”