An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering
Brain tumors in Magnetic resonance image segmentation is challenging research. With the
advent of a new era and research into machine learning, tumor detection and segmentation …
advent of a new era and research into machine learning, tumor detection and segmentation …
Resource optimization in edge and SDN-based edge computing: a comprehensive study
The proliferation of mobile devices and the increasing use of networked applications have
generated enormous data that require real-time processing and low-latency responses. For …
generated enormous data that require real-time processing and low-latency responses. For …
Consumer intentions to switch on-demand food delivery platforms: A perspective from push-pull-mooring theory
IC Chang, WM Shiau, CY Lin, DH Shih - Journal of Theoretical and …, 2023 - mdpi.com
With a burgeoning market and a multitude of on-demand food delivery (OFD) platforms
offering diverse options, comprehending the reasons that drive consumers to switch …
offering diverse options, comprehending the reasons that drive consumers to switch …
Performance improvement of distributed cache using middleware session
B Jafari, P Bayat - The Journal of Supercomputing, 2024 - Springer
This paper proposes a novel approach to routing architecture based on the Session–Cookie
protocol. The proposed architecture performs service discovery by integrating IoTs …
protocol. The proposed architecture performs service discovery by integrating IoTs …
[HTML][HTML] Organized Optimization Integration Validation Model for Internet of Things (IoT)-Based Real-Time Applications
Emerging technology like the Internet of Things (IoT) has great potential for use in real time
in many areas, including healthcare, agriculture, logistics, manufacturing, and environmental …
in many areas, including healthcare, agriculture, logistics, manufacturing, and environmental …