[HTML][HTML] Multiclass skin cancer classification using EfficientNets–a first step towards preventing skin cancer

K Ali, ZA Shaikh, AA Khan, AA Laghari - Neuroscience Informatics, 2022 - Elsevier
Skin cancer is one of the most prevalent and deadly types of cancer. Dermatologists
diagnose this disease primarily visually. Multiclass skin cancer classification is challenging …

[Retracted] New Opportunities, Challenges, and Applications of Edge‐AI for Connected Healthcare in Internet of Medical Things for Smart Cities

MM Kamruzzaman, I Alrashdi… - Journal of Healthcare …, 2022 - Wiley Online Library
Revolution in healthcare can be experienced with the advancement of smart sensorial
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of …

Image and audio caps: automated captioning of background sounds and images using deep learning

M Poongodi, M Hamdi, H Wang - Multimedia Systems, 2023 - Springer
Image recognition based on computers is something human beings have been working on
for many years. It is one of the most difficult tasks in the field of computer science, and …

Federated transfer learning for authentication and privacy preservation using novel supportive twin delayed DDPG (S-TD3) algorithm for IIoT

S Maurya, S Joseph, A Asokan, AA Algethami… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) has led to the growth and expansion of various new
opportunities in the new Industrial Transformation. There have been notable challenges …

Autonomous transaction model for e-commerce management using blockchain technology

S Sekar, A Solayappan, J Srimathi, S Raja… - International Journal of …, 2022 - igi-global.com
A blockchain is an advanced technology that can power over a decentralized network. The
authors bring it up to design the autonomous transaction system for e-commerce …

A measurement approach using smart-IoT based architecture for detecting the COVID-19

M Poongodi, TN Nguyen, M Hamdi, K Cengiz - Neural Processing Letters, 2021 - Springer
The corona virus has infected the entire world in the most severe ways. Many countries
found the situation is very difficult to deal with and their health support infrastructure is not …

IoT-based smart health monitoring system for COVID-19

V Bhardwaj, R Joshi, AM Gaur - SN Computer Science, 2022 - Springer
With the commencement of the COVID-19 pandemic, social distancing and quarantine are
becoming essential practices in the world. IoT health monitoring systems prevent frequent …

Research on the natural language recognition method based on cluster analysis using neural network

G Li, F Liu, A Sharma, OI Khalaf… - Mathematical …, 2021 - Wiley Online Library
Withthe technological advent, the clustering phenomenon is recently being used in various
domains and in natural language recognition. This article contributes to the clustering …

Social network user profiling with multilayer semantic modeling using ego network

K Balasubramaniam, S Vidhya… - International Journal of …, 2022 - igi-global.com
Social and information networks undermine the real relationship between the individuals
(ego) and the friends (alters) they are connected with on social media. The structure of …

Social network analysis for precise friend suggestion for twitter by associating multiple networks using ml

DKS Singh, N Nithya, L Rahunathan… - International Journal of …, 2022 - igi-global.com
The main aim in this paper is to create a friend suggestion algorithm that can be used to
recommend new friends to a user on Twitter when their existing friends and other details are …