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 …

Bluetooth 5.1: An analysis of direction finding capability for high-precision location services

G Pau, F Arena, YE Gebremariam, I You - Sensors, 2021 - mdpi.com
This paper presents an in-depth overview of the Bluetooth 5.1 Direction Finding standard's
potentials, thanks to enhancing the Bluetooth Low Energy (BLE) firmware. This improvement …

A distributed ensemble design based intrusion detection system using fog computing to protect the internet of things networks

P Kumar, GP Gupta, R Tripathi - Journal of ambient intelligence and …, 2021 - Springer
With the development of internet of things (IoT), capabilities of computing, networking
infrastructure, storage of data and management have come very close to the edge of …

Highway 4.0: Digitalization of highways for vulnerable road safety development with intelligent IoT sensors and machine learning

R Singh, R Sharma, SV Akram, A Gehlot, D Buddhi… - Safety science, 2021 - Elsevier
Abstract According to United Nations (UN) 2030 agenda, the transportation system needs to
be enhanced for the establishment of access to safe, affordable, accessible, and sustainable …

Collection of data with drones in precision agriculture: Analytical model and LoRa case study

A Caruso, S Chessa, S Escolar… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are autonomous devices employed as data collectors in
precision agriculture to support a large number of applications. These UAVs gather data …

Physiological and behavior monitoring systems for smart healthcare environments: A review

M Jacob Rodrigues, O Postolache, F Cercas - Sensors, 2020 - mdpi.com
Healthcare optimization has become increasingly important in the current era, where
numerous challenges are posed by population ageing phenomena and the demand for …

Artificial intelligence and ambient intelligence

M Gams, IYH Gu, A Härmä, A Muñoz… - Journal of Ambient …, 2019 - content.iospress.com
Ambient intelligence (AmI) is intrinsically and thoroughly connected with artificial intelligence
(AI). Some even say that it is, in essence, AI in the environment. AI, on the other hand, owes …

Development of smart healthcare system based on speech recognition using support vector machine and dynamic time war**

A Ismail, S Abdlerazek, IM El-Henawy - Sustainability, 2020 - mdpi.com
This paper presents an effective solution based on speech recognition to provide elderly
people, patients and disabled people with an easy control system. The goal is to build a low …

Anomaly-based intrusion detection approach for IoT networks using machine learning

P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …

[PDF][PDF] Internet of things in smart environment: Concept, applications, challenges, and future directions

SAA Elmustafa, EY Mujtaba - World Scientific News, 2019 - bibliotekanauki.pl
Environmental phenomena have a major impact on our daily lives. These include changes
affecting the sources of life such as in the waters and air of our world, which have been …