[HTML][HTML] Artificial intelligence of things applied to assistive technology: a systematic literature review

MP de Freitas, VA Piai, RH Farias, AMR Fernandes… - Sensors, 2022 - mdpi.com
According to the World Health Organization, about 15% of the world's population has some
form of disability. Assistive Technology, in this context, contributes directly to the overcoming …

[HTML][HTML] Significance of machine learning in healthcare: Features, pillars and applications

M Javaid, A Haleem, RP Singh, R Suman… - International Journal of …, 2022 - Elsevier
Abstract Machine Learning (ML) applications are making a considerable impact on
healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the …

A comparative analysis of machine learning models: a case study in predicting chronic kidney disease

H Iftikhar, M Khan, Z Khan, F Khan, HM Alshanbari… - Sustainability, 2023 - mdpi.com
In the modern world, chronic kidney disease is one of the most severe diseases that
negatively affects human life. It is becoming a growing problem in both developed and …

Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm

PB Corthis, GP Ramesh, M García-Torres, R Ruíz - Symmetry, 2024 - mdpi.com
Currently, Internet of Things (IoT)-based cloud systems face several problems such as
privacy leakage, failure in centralized operation, managing IoT devices, and malicious …

[PDF][PDF] Artificial intelligence in health sector: Current status and future perspectives

PT Nallamothu, KM Cuthrell - Asian Journal of Research in …, 2023 - researchgate.net
The develo** fields of artificial intelligence (AI)/machine learning (ML) offer a significant
potential to improve healthcare services. Many areas of clinical practice, scientific research …

Utilizing random Forest with iForest-based outlier detection and SMOTE to detect movement and direction of RFID tags

G Alfian, M Syafrudin, NL Fitriyani, S Alam, DN Pratomo… - Future Internet, 2023 - mdpi.com
In recent years, radio frequency identification (RFID) technology has been utilized to monitor
product movements within a supply chain in real time. By utilizing RFID technology, the …

A software development for medical with a multiple decision taking functionalities

SA Butt, A Khalid, A Ali - Advances in Engineering Software, 2022 - Elsevier
Background Smart devices including sensors and smartphones have grown exponentially
during the past few years due to rapid growth in wireless sensor network (WSN) technology …

Analysis of Ultrasound Images in Kidney Failure Diagnosis Using Deep Learning

N Tiwari, Y Ghadi, M Omar - Transformational Interventions for …, 2023 - igi-global.com
Ultrasonic imaging has proven to be a valuable tool in kidney diagnosis, providing essential
information about kidney size, shape, position, and function; and detecting structural …

[HTML][HTML] Vineyard gap detection by convolutional neural networks fed by multi-spectral images

S Sulemane, JP Matos-Carvalho, D Pedro, F Moutinho… - Algorithms, 2022 - mdpi.com
This paper focuses on the gaps that occur inside plantations; these gaps, although not
having anything growing in them, still happen to be watered. This action ends up wasting …

Detection and classification of cracks and potholes in road images using texture descriptors

AMR Fernandes, MJ Cassaniga… - Journal of Intelligent …, 2023 - content.iospress.com
Traffic safety is directly affected by poor road conditions. Automating the detection of road
defects allows improvements in the maintenance process. The identification of defects such …