D-dCNN: A Novel Hybrid Deep Learning-Based Tool for Vibration-Based Diagnostics

UE Akpudo, JW Hur - Energies, 2021 - mdpi.com
This paper develops a novel hybrid feature learner and classifier for vibration-based fault
detection and isolation (FDI) of industrial apartments. The trained model extracts high-level …

Spatio-temporal data interpretation based on perceptional model

A Kargin, T Petrenko - Advances in Spatio-Temporal Segmentation of …, 2020 - Springer
This chapter describes approach to interpretation of the heterogeneous data from sensors
based on a new perception model, that implement cognitive functions as abstraction of data …

Solving visual object ambiguities when pointing: an unsupervised learning approach

D Jirak, D Biertimpel, M Kerzel, S Wermter - Neural Computing and …, 2021 - Springer
Whenever we are addressing a specific object or refer to a certain spatial location, we are
using referential or deictic gestures usually accompanied by some verbal description …

Exploring the Efficiencies of Spectral Isolation for Intelligent Wear Monitoring of Micro Drill Bit Automatic Regrinding In-Line Systems

UE Akpudo, JW Hur - Algorithms, 2022 - mdpi.com
Despite the increasing digitalization of equipment diagnostic/condition monitoring systems, it
remains a challenge to accurately harness discriminant information from multiple sensors …

Towards Multimodal Cognitive Architecture for Human-Robot Shared Perception

O Eldardeer - 2023 - tesidottorato.depositolegale.it
For many years, robots have been used in specific repetitive tasks, especially in industrial
contexts. However, in recent years, robots start to be deployed in interactive and …

Prediction of Future Appearances of a Child's Face Image

RA Ahmed - 2017 - agnee.tezu.ernet.in
Age-progression is the process of modifying the facial image of a person in order to make
him appear several years older. The process of generating synthesized facial images has …

[CITATION][C] When deep is not enough: towards understanding shallow and continual learning models in realistic environmental sound classification for robots

O Eldardeer, F Rea, G Sandini… - International Journal of …, 2023 - World Scientific
Although deep learning models are state-of-the-art models in audio classification, they fall
short when applied in developmental robotic settings and human–robot interaction (HRI) …