AIMC Topic: Internet of Things

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AI- and IoT-Enabled Solutions for Healthcare.

Sensors (Basel, Switzerland)
Patient care and management have entered a new arena, where intelligent technology can assist clinicians in both diagnosis and treatment [...].

Human Activity Recognition Based on Deep Learning and Micro-Doppler Radar Data.

Sensors (Basel, Switzerland)
Activity recognition is one of the significant technologies accompanying the development of the Internet of Things (IoT). It can help in recording daily life activities or reporting emergencies, thus improving the user's quality of life and safety, a...

Irrigation intelligence-enabling a cloud-based Internet of Things approach for enhanced water management in agriculture.

Environmental monitoring and assessment
Advanced sensor technology, especially those that incorporate artificial intelligence (AI), has been recognized as increasingly important in various contemporary applications, including navigation, automation, water under imaging, environmental monit...

Pathways to democratized healthcare: Envisioning human-centered AI-as-a-service for customized diagnosis and rehabilitation.

Artificial intelligence in medicine
The ongoing digital revolution in the healthcare sector, emphasized by bodies like the US Food and Drug Administration (FDA), is paving the way for a shift towards person-centric healthcare models. These models consider individual needs, turning pati...

[Analysis of the challenges and dilemmas that bioethics of the 21st century will face in the digital health era].

Atencion primaria
The medical history underscores the significance of ethics in each advancement, with bioethics playing a pivotal role in addressing emerging ethical challenges in digital health (DH). This article examines the ethical dilemmas of innovations in DH, f...

Federated clustered multi-domain learning for health monitoring.

Scientific reports
Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection and precise analysis toward fast, resource-abundant, and personalized patient car...

An energy-aware heart disease prediction system using ESMO and optimal deep learning model for healthcare monitoring in IoT.

Journal of biomolecular structure & dynamics
The Internet of Things (IoT), which provides seamless connectivity between people and things, improves our quality of life. In the medical field, predictive analytics can help transform a reactive healthcare (HC) strategy into a proactive one. The HC...

Optimization-enabled deep learning model for disease detection in IoT platform.

Network (Bristol, England)
Nowadays, Internet of things (IoT) and IoT platforms are extensively utilized in several healthcare applications. The IoT devices produce a huge amount of data in healthcare field that can be inspected on an IoT platform. In this paper, a novel algor...

Hybrid Deep Learning Techniques for Securing Bioluminescent Interfaces in Internet of Bio Nano Things.

Sensors (Basel, Switzerland)
The Internet of bio-nano things (IoBNT) is an emerging paradigm employing nanoscale (~1-100 nm) biological transceivers to collect in vivo signaling information from the human body and communicate it to healthcare providers over the Internet. Bio-nan...

Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection.

PloS one
Recent years have witnessed an in-depth proliferation of the Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems linked to Industry 4.0 technology. The increasing rate of IoT device usage is associated with rising security risks...