A systematic review of blockchain technology use in e-supply chain in internet of medical things (IoMT)

R Rawat - International Journal of Computations, Information …, 2022 - journals.gaftim.com
For every sector, managing supply chains is a difficult task, but the healthcare sector faces
risks and complication since a disrupted supply chain could have a direct impact on patient …

A Systematic Literature Review of Security in 5G based Social Networks

MT Alshurideh, BY Obeidat, V Victoria… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
With increase in the use of social networks, we also need the increase in the security of
those networks. Making the connection secure is critical and the priority now a day so that …

ASSMA-SLM: Autonomous System for Smart Motor-Vehicles integrating Artificial and Soft Learning Mechanisms

M Saleem, A Khadim, M Fatima… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
As the world's population and development increase, the demand for motor-vehicles
increases, adversely impacting the environment and smart cities by increasing traffic …

Intelligence Skin Cancer Detection using IoT with a Fuzzy Expert System

NA Al-Dmour, M Salahat, HKG Nair… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
Skin cancer is a widespread and fatal disease in developing countries nowadays. Hence
initial phase medication is possible. Skin cancer arose due to the aberrant expansion of skin …

An efficient optimization technique for training deep neural networks

F Mehmood, S Ahmad, TK Whangbo - Mathematics, 2023 - mdpi.com
Deep learning is a sub-branch of artificial intelligence that acquires knowledge by training a
neural network. It has many applications in the field of banking, automobile industry …

Analysis Of Cost Prediction In Medical Insurance Using Modern Regression Models

HM Alzoubi, N Sahawneh, AQ AlHamad… - … on Cyber Resilience …, 2022 - ieeexplore.ieee.org
There are different kinds of insurances, but the most saturated is the medical (life) insurance
domain. As a vast population invests in health insurance, it is hard to keep track of trends …

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 …

Smart spaces: occupancy detection using adaptive back-propagation neural network

M Saleem, MS Khan, GF Issa, A Khadim… - … for Technology and …, 2023 - ieeexplore.ieee.org
In recent years, the concept of smart spaces and occupancy detection is crucial for creating
more efficient and sustainable buildings that prioritize both energy efficiency and occupant …

[PDF][PDF] Smart Energy Management System Using Machine Learning

A Akram, S Abbas, M Khan, A Athar… - … , Materials & Continua, 2024 - researchgate.net
Energy management is an inspiring domain in developing of renewable energy sources.
However, the growth of decentralized energy production is revealing an increased …

Improving pneumonia detection in chest X-rays using transfer learning approach (AlexNet) and adversarial training

A Athar, RN Asif, M Saleem, S Munir… - … for Technology and …, 2023 - ieeexplore.ieee.org
The method outlined in this paper employs transfer learning and adversarial training to
enhance the precision of pneumonia identification in chest X-rays. The authors use the …