Software-defined uav networks for 6g systems: Requirements, opportunities, emerging techniques, challenges, and research directions

MDABS Abir, MZ Chowdhury… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
The ever-increasing demand for wireless communication has driven the development of
innovative technologies to address the issues that conventional communication networks …

[PDF][PDF] The Artificially Intelligent Switching Framework for Terminal Access Provides Smart Routing in Modern Computer Networks

N Adhikari, J Logeshwaran… - … International Journal of …, 2022 - researchgate.net
The main page of the web interface provides access to various switch settings and displays
all the necessary information about the device. Admins can quickly view device status …

Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects

C Chen, H Zhang, J Hou, Y Zhang, H Zhang, J Dai… - Biomimetics, 2023 - mdpi.com
With the rapid development of enabling technologies like VR and AR, we human beings are
on the threshold of the ubiquitous human-centric intelligence era. 6G is believed to be an …

AAL and internet of medical things for monitoring type-2 diabetic patients

S Ahmed, P Naga Srinivasu, A Alhumam, M Alarfaj - Diagnostics, 2022 - mdpi.com
Due to an aging population, assisted-care options are required so that senior citizens may
maintain their independence at home for a longer time and rely less on caretakers. Ambient …

[HTML][HTML] Predictive evaluation of solar energy variables for a large-scale solar power plant based on triple deep learning forecast models

I Jamil, H Lucheng, S Iqbal, M Aurangzaib… - Alexandria Engineering …, 2023 - Elsevier
The advanced development of large-scale solar power plants (LSSPs) has made it
necessary to improve accurate forecasting models for the output of solar energy. Solar …

[HTML][HTML] Machine learning for the prediction of minor amputation in University of Texas grade 3 diabetic foot ulcers

S Wang, J Wang, MX Zhu, Q Tan - Plos one, 2022 - journals.plos.org
Minor amputations are performed in a large proportion of patients with diabetic foot ulcers
(DFU) and early identification of the outcome of minor amputations facilitates medical …

Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm

P Guleria, PN Srinivasu, M Hassaballah - Multimedia Tools and …, 2024 - Springer
Technologies like cloud computing, Artificial Intelligence (AI), and Machine intelligence
technologies must combine to accomplish computational intelligence. To deliberate the …

Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry

O Soleiman-garmabaki, MH Rezvani - Multimedia Tools and Applications, 2024 - Springer
Today, in addition to reactive methods, companies try to use proactive techniques for the
early detection of customer churn. Generally, gaining a new customer is more costly than …

Unmanned Autonomous Intelligent System in 6G Non-Terrestrial Network

X Wang, Y Guo, Y Gao - Information, 2024 - mdpi.com
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows
promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned …

Light-M: An efficient lightweight medical image segmentation framework for resource-constrained IoMT

Y Zhang, Z Chen, X Yang - Computers in Biology and Medicine, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) is being incorporated into current healthcare
systems. This technology intends to connect patients, IoMT devices, and hospitals over …