A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
<p dir="ltr">In mobile edge computing (MEC), it is difficult to recognise an optimum solution that can perform in limited energy by selecting the best communication path and components. This research proposed a hybrid model for energy-efficient cluster formation and a head selection...
محفوظ في:
| المؤلف الرئيسي: | Dhananjay Bisen (19482454) (author) |
|---|---|
| مؤلفون آخرون: | Umesh Kumar Lilhore (17727684) (author), Poongodi Manoharan (17727687) (author), Fadl Dahan (19482361) (author), Olfa Mzoughi (17088834) (author), Fahima Hajjej (11675462) (author), Praneet Saurabh (19482457) (author), Kaamran Raahemifar (707645) (author) |
| منشور في: |
2023
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Clustering Tweets to Discover Trending Topics about دبي (Dubai)
حسب: ALYALYALI, SALAMA KHAMIS SALEM KHAMIS
منشور في: (2018) -
PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment
حسب: Poonam Dhiman (12889038)
منشور في: (2023) -
Correlation Clustering via s-Club Cluster Edge Deletion
حسب: Makarem, Norma
منشور في: (2023) -
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
حسب: Dabeeruddin Syed (16864260)
منشور في: (2021) -
DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
حسب: Assaf, Ali
منشور في: (2022)