AIMC Topic: Internet of Things

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Enriching IoT Modules with Edge AI Functionality to Detect Water Misuse Events in a Decentralized Manner.

Sensors (Basel, Switzerland)
The digital transformation of agriculture is a promising necessity for tackling the increasing nutritional needs of the population on Earth and the degradation of natural resources. Focusing on the "hot" area of natural resource preservation, the rec...

Processing Decision Tree Data Using Internet of Things (IoT) and Artificial Intelligence Technologies with Special Reference to Medical Application.

BioMed research international
Alternative methods are available for a wide range of medical conditions. Idealistically, doctors would have a tool that would analyse their patients' symptoms and suggest the most accurate diagnosis and treatment plan. Artificial intelligence uses d...

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.

Frontiers in public health
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and production of drugs and vaccines are some of the applications that have made it necessary to use a new style of technology to involve, manage, and dea...

The Application of Internet of Things in Robot Route Planning Based on Multisource Information Fusion.

Computational intelligence and neuroscience
With the advent of the Internet of Everything era, multi-information integration, and development, technology has penetrated into all aspects of life, promoting the continuous progress of social development, and people's requirements for a happy life...

Deep Learning-Based Privacy-Preserving Data Transmission Scheme for Clustered IIoT Environment.

Computational intelligence and neuroscience
The Industrial Internet of Things (IIoT) has received significant attention from several leading industries like agriculture, mining, transport, energy, and healthcare. IIoT acts as a vital part of Industry 4.0 that mainly employs machine learning (M...

Edge-Computing and Machine-Learning-Based Framework for Software Sensor Development.

Sensors (Basel, Switzerland)
The present research presents a framework that supports the development and operation of machine-learning (ML) algorithms to develop, maintain and manage the whole lifecycle of modeling software sensors related to complex chemical processes. Our moti...

Intrusion Detection System for IoT Based on Deep Learning and Modified Reptile Search Algorithm.

Computational intelligence and neuroscience
This study proposes a novel framework to improve intrusion detection system (IDS) performance based on the data collected from the Internet of things (IoT) environments. The developed framework relies on deep learning and metaheuristic (MH) optimizat...

Rapid prototyping of ion-selective electrodes using a low-cost 3D printed internet-of-things (IoT) controlled robot.

Talanta
We report automated fabrication of solid-contact sodium-selective (Na-ISEs) and potassium-selective electrodes (K-ISEs) using a 3D printed liquid handling robot controlled with Internet of Things (IoT) technology. The printing system is affordable an...

Design and Analysis of Intelligent Robot Based on Internet of Things Technology.

Computational intelligence and neuroscience
This research uses Auto-ID Labs radio frequency identification system to realize the information dissemination from the destination node to the nodes in its neighborhood. The purpose is to forward messages and explore typical applications. Realize th...

A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of Things.

Sensors (Basel, Switzerland)
The IETF Routing Over Low power and Lossy network (ROLL) working group defined IPv6 Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN). Limited resou...