Search Results - "Manar Kashmoola"

Workload Forecasting Methods in Cloud Environments: An Overview by Aziz, Samah, Kashmoola, Manar

“…Cloud computing is becoming increasingly popular due to its on-demand resource allocation and scalability. It is essential to precisely anticipate workload as…”
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Design A Smart Reservation for Parking System by Salim, Noora, Kashmoola, Manar

“…Nowadays, the smartphone device has become the most used device for the convenience of the user, smart parking is one such application that helps the consumer…”
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CCF Based System Framework In Federated Learning Against Data Poisoning Attacks by Ibrahim M. Ahmed, Manar Younis Kashmoola

“…Nowadays, smart systems attract a lot of attention as several smart applications are growing. Distributed machine learning such as federated learning has an…”
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Deep Learning for Retinal Disease Detection Surveys by salih, attallh, Kashmoola, Manar

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Diagnosis Retinal Disease by using Deep Learning Models by salih, attallh, Kashmoola, Manar

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Smart Agriculture; Farm Irrigation System Using IoT by Badran, Amera, Kashmoola, Manar

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Deep Learning for Retinal Disease Detection Surveys by attallh salih, Manar Kashmoola

“…Retinal image analysis is crucial for The classification of retinal diseases such as "Age Related Macular Degeneration (AMD)", "Diabetic Retinopathy (DR)",…”
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Diagnosis Retinal Disease by using Deep Learning Models by attallh salih, Manar Kashmoola

“…Deep learning approaches have shown to be useful in assisting physicians in making decisions about cancer, heart disease, degenerative brain disorders, and eye…”
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Smart Agriculture; Farm Irrigation System Using IoT by Amera Badran, Manar Kashmoola

“…Due to the increase of development in modern technology which entered in most fields of life including sustainable agriculture; most studies revealed that most…”
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Investigated Insider and Outsider Attacks on the Federated Learning Systems by Ahmed, Ibrahim M., Kashmoola, Manar Younis

“…With the vast usage of smart system devices, such as those used in 6G applications, that rely heavily on distributed machine learning technologies such as…”
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