Machine learning in detection and classification of leukemia using C-NMC_Leukemia

FM Talaat, SA Gamel - Multimedia Tools and Applications, 2024 - Springer
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 …

[HTML][HTML] Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

HunterPlus: AI based energy-efficient task scheduling for cloud–fog computing environments

S Iftikhar, MMM Ahmad, S Tuli, D Chowdhury, M Xu… - Internet of Things, 2023 - Elsevier
Cloud computing is a mainstay of modern technology, offering cost-effective and scalable
solutions to a variety of different problems. The massive shift of organization resource needs …

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 …

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 …

The role of utilizing artificial intelligence and renewable energy in reaching sustainable development goals

FM Talaat, AE Kabeel, WM Shaban - Renewable Energy, 2024 - Elsevier
Many nations want to use only renewable energy by 2050. Given the recent rapid expansion
in RE use in the global energy mix and its progressive impact on the global energy sector …

A systematic review of task scheduling approaches in fog computing

S Bansal, H Aggarwal… - Transactions on Emerging …, 2022 - Wiley Online Library
Due to increased use of IoT devices and data sensors a huge amount of data is being
produced for processing in real‐time. Fog computing has evolved as a solution for fast …

An efficient task scheduling in fog computing using improved artificial hummingbird algorithm

R Ghafari, N Mansouri - Journal of Computational Science, 2023 - Elsevier
IoT edge devices have become more popular due to the rapid growth in IoT applications in
recent years. Task scheduling reduces latency and application computation times, while …

A systematic literature review for load balancing and task scheduling techniques in cloud computing

N Devi, S Dalal, K Solanki, S Dalal, UK Lilhore… - Artificial Intelligence …, 2024 - Springer
Cloud computing is an emerging technology composed of several key components that work
together to create a seamless network of interconnected devices. These interconnected …

E-AVOA-TS: Enhanced African vultures optimization algorithm-based task scheduling strategy for fog–cloud computing

R Ghafari, N Mansouri - Sustainable Computing: Informatics and Systems, 2023 - Elsevier
In fog computing, inefficient scheduling of user tasks causes more delays. Moreover, how to
schedule tasks that need to be offloaded to fog nodes or cloud nodes has not been fully …