Medical image analysis using deep learning algorithms

M Li, Y Jiang, Y Zhang, H Zhu - Frontiers in Public Health, 2023 - frontiersin.org
In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

Trends in using deep learning algorithms in biomedical prediction systems

Y Wang, L Liu, C Wang - Frontiers in Neuroscience, 2023 - frontiersin.org
In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …

CEDAR: A cluster-based energy-aware data aggregation routing protocol in the internet of things using capuchin search algorithm and fuzzy logic

M Mohseni, F Amirghafouri, B Pourghebleh - Peer-to-Peer Networking and …, 2023 - Springer
Over the last decade, the Internet of Things (IoT) has received much interest from the
research and industrial communities due to its fundamental role in altering the human …

Hub location-allocation in computer-based networks under disruption using whale optimization algorithm

I Muda, R Sivaraman, SIS Al-Hawary… - Industrial Engineering …, 2022 - dbpia.co.kr
In this research, the location of hubs in computer networks is investigated using the whale
optimization algorithm. The problem of locating hubs in computer networks is an …

ML‐DDoSnet: IoT intrusion detection based on denial‐of‐service attacks using machine learning methods and NSL‐KDD

M Esmaeili, SH Goki, BHK Masjidi… - Wireless …, 2022 - Wiley Online Library
The Internet of Things (IoT) is a complicated security feature in which datagrams are
protected by integrity, confidentiality, and authentication services. The network is protected …

Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students

MF Shahzad, S Xu, KI Khan, MF Hasnain - Scientific Reports, 2023 - nature.com
Abstract 5G technology continues to evolve, and its potential to revolutionize various aspects
of society is becoming increasingly evident. However, the successful adoption and utilization …

Applying machine learning enabled myriad fragment empirical modes in 5G communications to detect profile injection attacks

MS Alzaidi, PK Shukla, V Sangeetha, KN Pandagre… - Wireless …, 2023 - Springer
In order to facilitate communication, wireless networks are built from a collection of nodes
that may be either static or dynamic. They are acquiring a lot of popularity in the area of …

The deep learning applications in IoT-based bio-and medical informatics: a systematic literature review

Z Amiri, A Heidari, NJ Navimipour… - Neural Computing and …, 2024 - Springer
Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

Krill Herd Algorithm for Live Virtual Machines Migration in Cloud Environments

H Cao, Z Hou - … Journal of Advanced Computer Science and …, 2023 - search.proquest.com
Green cloud computing is a modern approach that provides pay-per-use information and
communication technologies with a minimal carbon footprint. Cloud computing enables …

An adaptive heuristic algorithm to solve the network slicing resource management problem

YH Chen - International Journal of Communication Systems, 2023 - Wiley Online Library
Artificial intelligence‐based (AI‐based) network slicing bandwidth allocation enables the
5G/6G service providers to create multiple virtual networks atop a shared physical …