Practical Multiple Node Failure Recovery in Distributed Storage Systems حسب Itani, M.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

3D deployment of UAVs in wireless networks for traffic offloading and edge computing. (c2019) حسب Islambouli, Rania

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Intelligent Bilateral Client Selection in Federated Learning Using Game Theory حسب Wehbi, Osama

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Uplink Noma in UAV-Assisted IoT Networks حسب Mrad, Ali

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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

"…Our data-driven occupancy detection approach utilized Machine Learning (ML) algorithms to intelligently determine room occupancy, allowing for precise energy management based on real-time usage patterns. …"

On the Provisioning of Ultra-Reliable Low-Latency Services in IoT Networks with Multipath Diversity حسب Sweidan, Zahraa

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Information reconciliation through agent controlled graph model. (c2018) حسب Saba, Rita

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Bootstrap-based Aggregations and their Stability in Feature Selection حسب Salman, Reem Elfatih

احصل على النص الكامل

Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review حسب Arfan Ahmed (17541309)

"…WDs coupled with artificial intelligence (AI) algorithms show promise to help understand and conclude meaningful information from the gathered data and provide advanced and clinically meaningful analytics.…"

Artificial Intelligence for Skin Cancer Detection: Scoping Review حسب Abdulrahman Takiddin (14153181)

"…Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning–based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.</p><h3>Objective</h3><p dir="ltr">The aim of this study was to identify and group the different types of AI-based technologies used to detect and classify skin cancer. …"