Big data and IoT-based applications in smart environments: A systematic review

Y Hajjaji, W Boulila, IR Farah, I Romdhani… - Computer Science …, 2021 - Elsevier
This paper reviews big data and Internet of Things (IoT)-based applications in smart
environments. The aim is to identify key areas of application, current trends, data …

Advancements in smart farming: A comprehensive review of IoT, wireless communication, sensors, and hardware for agricultural automation

C Prakash, LP Singh, A Gupta, SK Lohan - Sensors and Actuators A …, 2023 - Elsevier
Agriculture automation is a primary issue and a rapidly develo** field for the nation. The
global population is growing swiftly, so there is a severe need to fulfill food demand …

An intelligent non-invasive real-time human activity recognition system for next-generation healthcare

W Taylor, SA Shah, K Dashtipour, A Zahid, QH Abbasi… - Sensors, 2020 - mdpi.com
Human motion detection is getting considerable attention in the field of Artificial Intelligence
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …

Anomaly detection neural network with dual auto-encoders GAN and its industrial inspection applications

TW Tang, WH Kuo, JH Lan, CF Ding, H Hsu, HT Young - Sensors, 2020 - mdpi.com
Recently, researchers have been studying methods to introduce deep learning into
automated optical inspection (AOI) systems to reduce labor costs. However, the integration …

RF sensing technologies for assisted daily living in healthcare: A comprehensive review

SA Shah, F Fioranelli - IEEE Aerospace and Electronic Systems …, 2019 - ieeexplore.ieee.org
The aim of radio-frequency (RF) sensing for assisted living is to deliver automatic support
and monitoring for older people in their homes, impaired patients living independently …

Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review

A Motwani, PK Shukla, M Pawar - Artificial Intelligence in Medicine, 2022 - Elsevier
During the COVID-19 pandemic, the patient care delivery paradigm rapidly shifted to remote
technological solutions. Rising rates of life expectancy of older people, and deaths due to …

A review on the state of the art in atrial fibrillation detection enabled by machine learning

A Rizwan, A Zoha, IB Mabrouk… - IEEE reviews in …, 2020 - ieeexplore.ieee.org
Atrial Fibrillation (AF) the most commonly occurring type of cardiac arrhythmia is one of the
main causes of morbidity and mortality worldwide. The timely diagnosis of AF is an equally …

Contactless small-scale movement monitoring system using software defined radio for early diagnosis of COVID-19

M Rehman, RA Shah, MB Khan, NAA Ali… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The exponential growth of the novel coronavirus disease (N-COVID-19) has affected
millions of people already and it is obvious that this crisis is global. This situation has …

Sensor fusion for identification of freezing of gait episodes using Wi-Fi and radar imaging

SA Shah, A Tahir, J Ahmad, A Zahid… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Parkinson's disease (PD) is a progressive and neurodegenerative condition causing motor
impairments. One of the major motor related impairments that present biggest challenge is …

Intelligent reflecting surface-based non-LOS human activity recognition for next-generation 6G-enabled healthcare system

U Saeed, SA Shah, MZ Khan, AA Alotaibi, T Althobaiti… - Sensors, 2022 - mdpi.com
Human activity monitoring is a fascinating area of research to support autonomous living in
the aged and disabled community. Cameras, sensors, wearables, and non-contact …