[HTML][HTML] Textile-based flexible capacitive pressure sensors: A review

M Su, P Li, X Liu, D Wei, J Yang - Nanomaterials, 2022 - mdpi.com
Flexible capacitive pressure sensors have been widely used in electronic skin, human
movement and health monitoring, and human–machine interactions. Recently, electronic …

[HTML][HTML] Improving cloud/edge sustainability through artificial intelligence: A systematic review

B Bermejo, C Juiz - Journal of Parallel and Distributed Computing, 2023 - Elsevier
In recent years, the increase in the use of services in cloud, fog, edge, and IoT ecosystems
has been very notable. On the one hand, environmental sustainability is affected by this type …

[HTML][HTML] Prediction of student academic performance using a hybrid 2D CNN model

S Poudyal, MJ Mohammadi-Aragh, JE Ball - Electronics, 2022 - mdpi.com
Opportunities to apply data mining techniques to analyze educational data and improve
learning are increasing. A multitude of data are being produced by institutional technology, e …

[HTML][HTML] Towards cognitive authentication for smart healthcare applications

AH Sodhro, C Sennersten, A Ahmad - Sensors, 2022 - mdpi.com
Secure and reliable sensing plays the key role for cognitive tracking ie, activity identification
and cognitive monitoring of every individual. Over the last years there has been an …

[HTML][HTML] 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 …

Developing a Fog Computing-based AI Framework for Real-time Traffic Management and Optimization

K Meduri, GS Nadella, H Gonaygunta… - International Journal of …, 2023 - ijsdcs.com
This research is based on fog computing studies, in which we explored, designed, and
developed fog-computing AI-based real-time traffic management and optimization …

[PDF][PDF] AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system

N Zahid, AH Sodhro, UR Kamboh, A Alkhayyat… - Math. Biosci …, 2022 - researchgate.net
Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in
the Internet of Things (IoT) enabled wearable healthcare devices. Due to the miniature size …

[HTML][HTML] Latency-aware task scheduling for IoT applications based on artificial intelligence with partitioning in small-scale fog computing environments

JB Lim - Sensors, 2022 - mdpi.com
The Internet of Things applications have become popular because of their lightweight nature
and usefulness, which require low latency and response time. Hence, Internet of Things …

[HTML][HTML] A proof-of-concept iot system for remote healthcare based on interoperability standards

LG Lemus-Zúñiga, JM Félix, A Fides-Valero… - Sensors, 2022 - mdpi.com
The Internet of Things paradigm in healthcare has boosted the design of new solutions for
the promotion of healthy lifestyles and the remote care. Thanks to the effort of academia and …

[PDF][PDF] Adaptive mobility-aware and reliable routing protocols for healthcare vehicular network

NA Zardari, R Ngah, O Hayat, AH Sodhro - Math. Biosci. Eng, 2022 - researchportal.hkr.se
Healthcare vehicles such as ambulances are the key drivers for digital and pervasive remote
care for elderly patients. Thus, Healthcare Vehicular Ad Hoc Network (H-VANET) plays a …