Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ioannis Kansizoglou"'
Autor:
Dionysios Filippas, Christodoulos Peltekis, Vasileios Titopoulos, Ioannis Kansizoglou, Georgios CH. Sirakoulis, Antonios Gasteratos, Giorgos Dimitrakopoulos
Publikováno v:
IEEE Access, Vol 12, Pp 57194-57208 (2024)
Convolution neural networks (CNNs) are widely applied in many machine learning applications. Hardware acceleration for CNNs is crucial, given their high computational intensity and the demand for enhanced energy efficiency and reduced latency in appl
Externí odkaz:
https://doaj.org/article/33c1766733254d368409fdccc04d5072
Autor:
Konstantinos A. Tsintotas, Ioannis Kansizoglou, Katerina Pastra, Yiannis Aloimonos, Antonios Gasteratos, Giorgios Ch. Sirakoulis, Giulio Sandini
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/6cefd82d0ab74e06bcc570fc0edd1587
Autor:
Athanasios Passias, Karolos-Alexandros Tsakalos, Ioannis Kansizoglou, Archontissa Maria Kanavaki, Athanasios Gkrekidis, Dimitrios Menychtas, Nikolaos Aggelousis, Maria Michalopoulou, Antonios Gasteratos, Georgios Ch. Sirakoulis
Publikováno v:
Biomimetics, Vol 9, Iss 5, p 296 (2024)
This study presents a novel solution for ambient assisted living (AAL) applications that utilizes spiking neural networks (SNNs) and reconfigurable neuromorphic processors. As demographic shifts result in an increased need for eldercare, due to a lar
Externí odkaz:
https://doaj.org/article/f74cfaa0a07449359699483500463e01
Autor:
Dimitrios Menychtas, Nikolaos Petrou, Ioannis Kansizoglou, Erasmia Giannakou, Athanasios Grekidis, Antonios Gasteratos, Vassilios Gourgoulis, Eleni Douda, Ilias Smilios, Maria Michalopoulou, Georgios Ch. Sirakoulis, Nikolaos Aggelousis
Publikováno v:
Frontiers in Rehabilitation Sciences, Vol 4 (2023)
IntroductionRecent advances in Artificial Intelligence (AI) and Computer Vision (CV) have led to automated pose estimation algorithms using simple 2D videos. This has created the potential to perform kinematic measurements without the need for specia
Externí odkaz:
https://doaj.org/article/f546ea7f98f24a1bb5ead89111cfd8c0
Autor:
George M. Sapidis, Ioannis Kansizoglou, Maria C. Naoum, Nikos A. Papadopoulos, Constantin E. Chalioris
Publikováno v:
Sensors, Vol 24, Iss 2, p 386 (2024)
Effective damage identification is paramount to evaluating safety conditions and preventing catastrophic failures of concrete structures. Although various methods have been introduced in the literature, developing robust and reliable structural healt
Externí odkaz:
https://doaj.org/article/34c2b4f8472b40aa892a01dd402ec87a
Publikováno v:
Robotics, Vol 12, Iss 6, p 167 (2023)
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 two- or three-dimensional convolutional neural networks (2D-CNNs, 3D-C
Externí odkaz:
https://doaj.org/article/e3b3f099b83945e9ab6011e7f768c28c
Publikováno v:
Geosciences, Vol 13, Iss 6, p 183 (2023)
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 as the main cause of global climate change. The main reasons that place
Externí odkaz:
https://doaj.org/article/e6a00840375a4b97b38abb465ff9d37b
Publikováno v:
Machines, Vol 11, Iss 5, p 558 (2023)
Navigating in a perpetually changing world can provide the basis for numerous challenging autonomous robotic applications. With a view to long-term autonomy, visual place recognition (vPR) systems should be able to robustly operate under extreme appe
Externí odkaz:
https://doaj.org/article/c70f058d3dd4493c8c138f96d367318f
Publikováno v:
Machines, Vol 11, Iss 2, p 162 (2023)
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 reinforcement learning are intensively investigated with the aim to adva
Externí odkaz:
https://doaj.org/article/ac066b1c124647ec8ba68822549c1b39
Publikováno v:
Technologies, Vol 10, Iss 3, p 59 (2022)
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 state. Hence, emotions can be effectively used, in the long term, to form an
Externí odkaz:
https://doaj.org/article/d5ca511569b44fbead4cd67ab31079a0