Machine learning in detection and classification of leukemia using C-NMC_Leukemia
A significant issue in the field of illness diagnostics is the early detection and diagnosis of
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …
An improved fire detection approach based on YOLO-v8 for smart cities
FM Talaat, H ZainEldin - Neural Computing and Applications, 2023 - Springer
Fires in smart cities can have devastating consequences, causing damage to property, and
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …
Fog computing and Internet of Things in one building block: A survey and an overview of interacting technologies
G Fersi - Cluster Computing, 2021 - Springer
The rapid proliferation and progress of Wireless Sensor Networks (WSN) and Internet of
Things (IoT) has conducted to the formation of a gigantic amount of data and a growing need …
Things (IoT) has conducted to the formation of a gigantic amount of data and a growing need …
Exploring the effects of pandemics on transportation through correlations and deep learning techniques
The COVID-19 pandemic has had a significant impact on human migration worldwide,
affecting transportation patterns in cities. Many cities have issued" stay-at-home" orders …
affecting transportation patterns in cities. Many cities have issued" stay-at-home" orders …
Crop yield prediction algorithm (CYPA) in precision agriculture based on IoT techniques and climate changes
FM Talaat - Neural Computing and Applications, 2023 - Springer
Agriculture faces a significant challenge in predicting crop yields, a critical aspect of decision-
making at international, regional, and local levels. Crop yield prediction utilizes soil, climatic …
making at international, regional, and local levels. Crop yield prediction utilizes soil, climatic …
RETRACTED ARTICLE: Prediction of gestational diabetes based on explainable deep learning and fog computing
Gestational diabetes mellitus (GDM) is one of the pregnancy complications that endangers
both mothers and babies. GDM is usually diagnosed at 22–26 weeks of gestation. However …
both mothers and babies. GDM is usually diagnosed at 22–26 weeks of gestation. However …
Stress monitoring using wearable sensors: IoT techniques in medical field
FM Talaat, RM El-Balka - Neural Computing and Applications, 2023 - Springer
Abstract The concept “Internet of Things”(IoT), which facilitates communication between
linked devices, is relatively new. It refers to the next generation of the Internet. IoT supports …
linked devices, is relatively new. It refers to the next generation of the Internet. IoT supports …
Effective load balancing strategy using fuzzy golden eagle optimization in fog computing environment
SP Singh - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
Fog computing (FC) is becoming popular for connecting real-time Internet of Things (IoT)
applications such as driverless cars and health care. Although fog has low latency …
applications such as driverless cars and health care. Although fog has low latency …
A2M-LEUK: attention-augmented algorithm for blood cancer detection in children
Leukemia is a malignancy that affects the blood and bone marrow. Its detection and
classification are conventionally done through labor-intensive and specialized methods. The …
classification are conventionally done through labor-intensive and specialized methods. The …
Utilizing fog computing and explainable deep learning techniques for gestational diabetes prediction
Gestational diabetes mellitus (GDM) is one of the pregnancy complications that poses a
significant risk on mothers and babies as well. GDM usually diagnosed at 22–26 of …
significant risk on mothers and babies as well. GDM usually diagnosed at 22–26 of …