Deep fusion methodology of infrared and ultrasonic data for porosity detection in additive manufacturing

C Zamiela, W Tian, L Bian, J Zhipeng… - IIE Annual Conference …, 2021 - search.proquest.com
The objective is to develop a deep fusion methodology for porosity detection using in-situ
infrared and ex-situ ultrasonic images. A core problem with laser-based additive …

An Intelligent Healthcare System: Leveraging AI and IoT for Efficient Diagnosis and Treatment

N Shaik, VA Sajjanara, K Raghavendra, HGG Reddy… - BioGecko, 2023 - biogecko.co.nz
Healthcare has not been exempt from the rapid changes brought about by artificial
intelligence (AI) and the Internet of Things (IoT). In order to improve the effectiveness of …

Parachute control system of sounding rocket based on multi-sensor fusion

C Wen, T Li, T Zhou, H Shi… - … on Mechanisms and …, 2022 - spiedigitallibrary.org
In this paper, a method for controlling the parachute opening device of a small sounding
rocket through a multi-sensor fusion algorithm is proposed. This method uses IMU, airspeed …

[图书][B] AI-Based Edge Computing System for Event Based Analytics

SK Shah - 2021 - search.proquest.com
In recent years, the Internet of Things (IoT) has received lots of attention due to its promising
applications. Along with IoT evolution, we have witnessed advanced research for edge …

Réseau interactif et apprentissage automatique pour les recommandations

A DRIF, SE SELMANI, H CHERIFI - Optimisation et …, 2023 - books.google.com
Les systèmes de recommandation font désormais partie intégrante des sites de commerce
électronique et d'autres plates-formes, telles que les sites de réseaux sociaux et de diffusion …

Multi-Sensor Fusion Particle Filtering for Boolean

S Shao, L Xiang - Available at SSRN 4342052 - papers.ssrn.com
This paper is concerned with developing particle filters for Boolean networks with multi-step
randomly-delayed measurements. Based on the semi-tensor product of matrices and …

[PDF][PDF] Probabilistic Decision-Making Models for Multi-Agent Systems and Human-Robot Collaboration

YOU YANG - docnum.univ-lorraine.fr
In this thesis, using Markov decision models, we investigate high-level decision-making
(task-level planning) for robotics in two aspects: robot-robot collaboration and human-robot …

Design of A Positioning and Navigation System for Intelligent Inspection Robots in Oil and Gas Stations

T Zhou, T Li, C Wen, H Shi - Proceedings of the 2022 9th International …, 2022 - dl.acm.org
In order to solve the problem of difficult inspections in oil and gas stations and prone to
product accidents, this project designed an intelligent inspection vehicle for oil and gas …

Sensor data fusion for a mobile robot using a neural network algorithm

AJ Barreto Cubero - repositorio.tec.mx
Mobile robots must be capable to obtain an accurate map of their surroundings and move
within it. To detect different materials that might be undetectable to one sensor but not others …

[HTML][HTML] Reinforcement learning for an intelligent pediatrician robot

AH Basori - Journal of Future Robot Life, 2020 - content.iospress.com
The staff shortage in the medical world needs to be addressed. In this era of mobile
communication, where online consultancy or telemedicine has become one way to …