Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems

M Naeem, G De Pietro, A Coronato - Sensors, 2021 - mdpi.com
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

Evolution of wireless sensor network design from technology centric to user centric: an architectural perspective

AP Singh, AK Luhach, XZ Gao… - … of Distributed Sensor …, 2020 - journals.sagepub.com
Wireless sensor networks form the crux of a wide range of automated applications that are
gaining popularity with every passing day. The journey of wireless sensor networks has …

Mustard Downy Mildew Disease Severity Detection using Deep Learning Model

R Sharma, V Kukreja - 2021 international conference on …, 2021 - ieeexplore.ieee.org
Plant crop disease detection is becoming a more active topic of research as the requirement
for these systems and approaches grows, as crop diseases have become a prevalent aspect …

An intelligent multimodal biometric authentication model for personalised healthcare services

F Ahamed, F Farid, B Suleiman, Z Jan, LA Wahsheh… - Future Internet, 2022 - mdpi.com
With the advent of modern technologies, the healthcare industry is moving towards a more
personalised smart care model. The enablers of such care models are the Internet of Things …

A transfer learning framework with a one-dimensional deep subdomain adaptation network for bearing fault diagnosis under different working conditions

R Zhang, Y Gu - Sensors, 2022 - mdpi.com
Accurate and fast rolling bearing fault diagnosis is required for the normal operation of
rotating machinery and equipment. Although deep learning methods have achieved …

Improved wireless medical cyber-physical system (IWMCPS) based on machine learning

A Alzahrani, M Alshehri, R AlGhamdi, SK Sharma - Healthcare, 2023 - mdpi.com
Medical cyber-physical systems (MCPS) represent a platform through which patient health
data are acquired by emergent Internet of Things (IoT) sensors, preprocessed locally, and …

An intelligent environment for preventing medication errors in home treatment

M Ciampi, A Coronato, M Naeem, S Silvestri - Expert Systems with …, 2022 - Elsevier
This article presents an assistance system based on home sensors, Ambient Intelligence,
and Artificial Intelligence, which helps the elderly during their medical treatment at home to …

An AI-empowered home-infrastructure to minimize medication errors

M Naeem, A Coronato - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
This article presents an Artificial Intelligence (AI)-based infrastructure to reduce medication
errors while following a treatment plan at home. The system, in particular, assists patients …

Active and assisted living ecosystem for the elderly

I Marcelino, R Laza, P Domingues, S Gómez-Meire… - Sensors, 2018 - mdpi.com
A novel ecosystem to promote the physical, emotional and psychic health and well-being of
the elderly is presented. Our proposal was designed to add several services developed to …

Potential of the crypto economy in financial management and fundraising for tourism

JF Prados-Castillo, MÁ Solano-Sánchez… - Sustainability, 2023 - mdpi.com
This study aims to examine the potential of blockchain technology in the financing and
financial management of entrepreneurial tourism projects. It highlights two objectives: how …