A technology maturity assessment framework for industry 5.0 machine vision systems based on systematic literature review in automotive manufacturing
FK Konstantinidis, N Myrillas, KA Tsintotas… - … Journal of Production …, 2023 - Taylor & Francis
When considering how an intelligent factory can 'see,'the answer lies in machine vision
technology. To assess the current technological advancements of machine vision systems …
technology. To assess the current technological advancements of machine vision systems …
Continuous emotion recognition for long-term behavior modeling through recurrent neural networks
One's internal state is mainly communicated through nonverbal cues, such as facial
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …
The role of machine vision in industry 4.0: an automotive manufacturing perspective
FK Konstantinidis, SG Mouroutsos… - … conference on imaging …, 2021 - ieeexplore.ieee.org
The challenging market of automotive industry urges the manufacturers worldwide to benefit
from the incredible technological advancements of the fourth industrial revolution (Industry …
from the incredible technological advancements of the fourth industrial revolution (Industry …
A hybrid spiking neural network reinforcement learning agent for energy-efficient object manipulation
Due to the wide spread of robotics technologies in everyday activities, from industrial
automation to domestic assisted living applications, cutting-edge techniques such as deep …
automation to domestic assisted living applications, cutting-edge techniques such as deep …
Dimensionality reduction through visual data resampling for low-storage loop-closure detection
As loop-closure detection plays a fundamental role in any simultaneous localization and
mapping (SLAM) system, through its ability to recognize previously visited locations, one of …
mapping (SLAM) system, through its ability to recognize previously visited locations, one of …
Towards 3D printed modular unmanned aerial vehicle development: The landing safety paradigm
Unmanned aerial vehicles (UAVs) are at the fore-front of this century's technological shift,
becoming ubiquitous in research and market areas. Similarly, nowadays, 3D printing is a …
becoming ubiquitous in research and market areas. Similarly, nowadays, 3D printing is a …
A hybrid reinforcement learning approach with a spiking actor network for efficient robotic arm target reaching
KM Oikonomou, I Kansizoglou… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
The increasing demand for applications in competitive fields, such as assisted living and
aerial robots, drives contemporary research into the development, implementation and …
aerial robots, drives contemporary research into the development, implementation and …
Active vision: A promising technology for achieving zero-defect manufacturing
Quality constitutes the cutting-edge of contemporary industry, much more sharpened with
the emergence of Industry 4.0. Yet, the assurance of delivering high-quality products …
the emergence of Industry 4.0. Yet, the assurance of delivering high-quality products …
Methane Concentration Forecasting Based on Sentinel-5P Products and Recurrent Neural Networks
T Psomouli, I Kansizoglou, A Gasteratos - Geosciences, 2023 - mdpi.com
The increase in the concentration of geological gas emissions in the atmosphere and
particularly the increase of methane is considered by the majority of the scientific community …
particularly the increase of methane is considered by the majority of the scientific community …
Evaluating the Performance of Mobile-Convolutional Neural Networks for Spatial and Temporal Human Action Recognition Analysis
Human action recognition is a computer vision task that identifies how a person or a group
acts on a video sequence. Various methods that rely on deep-learning techniques, such as …
acts on a video sequence. Various methods that rely on deep-learning techniques, such as …