Online fall detection using recurrent neural networks on smart wearable devices

M Musci, D De Martini, N Blago… - … on Emerging Topics …, 2020 - ieeexplore.ieee.org
Unintentional falls can cause severe injuries and even death, especially if no immediate
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …

Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network

W Tan, P Liu, X Li, Y Liu, Q Zhou, C Chen… - … Information Science and …, 2021 - Springer
The COVID-19 coronavirus has spread rapidly around the world and has caused global
panic. Chest CT images play a major role in confirming positive COVID-19 patients. The …

A study on modeling vehicles mobility with MLC for enhancing vehicle-to-vehicle connectivity in VANET

J Naskath, B Paramasivan, H Aldabbas - Journal of Ambient Intelligence …, 2021 - Springer
In Vehicular ad hoc networks (VANETs), vehicle-to-vehicle (V2V) is a significant mode of
communication in which vehicles communicate with other moving vehicles with the aid of …

Heterogeneity-aware elastic provisioning in cloud-assisted edge computing systems

C Li, J Bai, Y Ge, Y Luo - Future Generation Computer Systems, 2020 - Elsevier
Edge computing is the provision of cloud services and IT environment services to application
developers and service providers on the edge of the network. Edge computing faces some …

Optimal policy learning for disease prevention using reinforcement learning

Z Alam Khan, Z Feng, MI Uddin, N Mast… - Scientific …, 2020 - Wiley Online Library
Diseases can have a huge impact on the quality of life of the human population. Humans
have always been in the quest to find strategies to avoid diseases that are life‐threatening or …

Connectivity analysis of V2V communication with discretionary lane changing approach

J Naskath, B Paramasivan, Z Mustafa… - The Journal of …, 2022 - Springer
Vehicular ad hoc network (VANET) has become an exigent domain of Intelligent Transport
system (ITS). Providing efficient communication among rapidly moving vehicles is a …

Consumption analysis of smartphone based fall detection systems with multiple external wireless sensors

FJ González-Cañete, E Casilari - Sensors, 2020 - mdpi.com
Fall Detection Systems (FDSs) based on wearable technologies have gained much
research attention in recent years. Due to the networking and computing capabilities of …

Edge computing in healthcare systems

MS Mulimani, RR Rachh - Deep Learning and Edge Computing Solutions …, 2021 - Springer
Proliferation of social networking sites, IoT, and a huge number of electronic transactions
have given rise to a data deluge. This huge amount of data combined with cloud storage …

Adaptive Residual Channel Attention Network for Single Image Super‐Resolution

K Cao, Y Liu, L Duan, T Xie - Scientific Programming, 2020 - Wiley Online Library
Single image super‐resolution (SISR) is a traditional image restoration problem. Given an
image with low resolution (LR), the task of SISR is to find the homologous high‐resolution …

Active human pose estimation for assisted living

A Raj, D Singh, C Prakash - Proceedings of the 2021 Thirteenth …, 2021 - dl.acm.org
Active and Assisted Living has found itself in one of the application areas of technological
advancement the world is witnessing. The objective is to provide the elderly people with …