An efficient lightweight convolutional neural network for industrial surface defect detection

D Zhang, X Hao, D Wang, C Qin, B Zhao… - Artificial Intelligence …, 2023 - Springer
Since surface defect detection is significant to ensure the utility, integrality, and security of
productions, and it has become a key issue to control the quality of industrial products, which …

Current Knowledge and Future Possibilities of Medical Digital Technologies based on Mobile Health.

AA Salameh, IA Abu-AlSondos… - … Journal of Interactive …, 2023 - search.ebscohost.com
Medical digital technologies have the potential to improve public access to healthcare by
enhancing its flexibility. The availability of complementary details about health, ailments …

Spectrum Evaluation in CR-Based Smart Healthcare Systems Using Optimizable Tree Machine Learning Approach

A Raza, M Ali, MK Ehsan, AH Sodhro - Sensors, 2023 - mdpi.com
The rapid technological advancements in the current modern world bring the attention of
researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is …

Secure framework for IoT applications using Deep Learning in fog Computing

A Chakraborty, M Kumar, N Chaurasia - Journal of Information Security and …, 2023 - Elsevier
An efficient offloading strategy provides a promising solution to latency-sensitive
applications in a cloud fog environment, but the fog computing environment is not fully …

Efficient and privacy-preserving cloud-based medical diagnosis using an ensemble classifier with inherent access control and micro-payment

S Abdelfattah, MM Badr… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Decision tree (DT) models are widely used in medical applications where the size of the
data sets is usually small or medium. Moreover, DT ensemble models are preferred over …

What is (not) Big Data based on its 7Vs challenges: A survey

C González García, E Álvarez-Fernández - Big Data and Cognitive …, 2022 - mdpi.com
Big Data has changed how enterprises and people manage knowledge and make
decisions. However, when talking about Big Data, so many times there are different …

RETRACTED: Cost-sensitive classification algorithm combining the Bayesian algorithm and quantum decision tree

N Ji, R Bao, X Mu, Z Chen, X Yang, S Wang - Frontiers in Physics, 2023 - frontiersin.org
This study highlights the drawbacks of current quantum classifiers that limit their efficiency
and data processing capabilities in big data environments. The paper proposes a global …

A cluster-based ensemble approach for congenital heart disease prediction

I Kaur, T Ahmad - Computer Methods and Programs in Biomedicine, 2024 - Elsevier
Background One of the most prevalent birth disorders is congenital heart diseases (CHD).
Although CHD risk factors have been the subject of numerous studies, their propensity to …

Adaptive Autonomous Protocol for Secured Remote Healthcare Using Fully Homomorphic Encryption (AutoPro-RHC)

RK Sheu, YC Lin, MS Pardeshi, CY Huang, KC Pai… - Sensors, 2023 - mdpi.com
The outreach of healthcare services is a challenge to remote areas with affected
populations. Fortunately, remote health monitoring (RHM) has improved the hospital service …

Energy Efficient and Secure Neural Network–based Disease Detection Framework for Mobile Healthcare Network

S Alex, D KJ, D PP - ACM Transactions on Privacy and Security, 2023 - dl.acm.org
Adopting mobile healthcare network (MHN) services such as disease detection is fraught
with concerns about the security and privacy of the entities involved and the resource …