Ponedeljkov seminar računalništva in informatike - Arhiv
| 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 |
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
nedelja, 13. junij 2021 Nuwan T. ATTYGALLE: Sensing through materials
V ponedeljek, 14. junija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.
ČAS/PROSTOR: 14. junij 2021 ob 16.00 na daljavo
-------------------------------------------------
PREDAVATELJ: Nuwan T. ATTYGALLE
-------------------------------------------------
Nuwan Tharanga Attygalle is a PhD student in Computer Science in the field of Human-Computer interactions and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is also a member of the HICUP Lab at the Department of Information Sciences and Technologies.
-------------------------------------------------
NASLOV: Sensing through materials
-------------------------------------------------
POVZETEK:
Gesture recognition has received increased attention with machine learning breakthroughs and the attainability of radar chips. In the real world, it often needs sensing through materials. In this work, we are studying how the degradation of radar signals affects the performance of gesture recognition.
---------------------------------------------------------------------------------------------------
Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:
https://upr-si.zoom.us/j/297328207
Vabljeni!
sreda, 2. junij 2021 Niki Hrovatin: In-Network Convolution in grid shaped Sensor Networks
V ponedeljek, 31. maja 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.
ČAS/PROSTOR: 31. maj 2021 ob 16.00 na daljavo
-----------------------------------------
PREDAVATELJ: Niki HROVATIN
-----------------------------------------
Niki Hrovatin is a teaching assistant and PhD student at the University of Primorska, Department of Information Sciences and Technologies, and an Assistant Researcher at the InnoRenew CoE. His current research interests include Wireless Sensor Networks, Security and Privacy, Machine Learning, and Blockchain.
------------------------------------------------------------------------------------------
NASLOV: In-Network Convolution in grid shaped Sensor Networks
------------------------------------------------------------------------------------------
POVZETEK:
A Sensor Network consists of spatially distributed nodes deployed in a dynamic environment for specific monitoring purposes. We present the recent development of our use-case sensor network, a smart floor designed to detect falls. The smart floor is a grid-shaped sensor network in which each sensor node is sensing the local force applied on the floor. A Convolutional Neural Network (CNN) is used to recognize if the activity occurring over the smart floor is a person that fell on the floor or just activities of daily living like walking, moving objects, etc. Furthermore, we discuss a technique applicable only to grid-shaped sensor networks for distributed processing of convolutional layers on sensor nodes.
---------------------------------------------------------------------------------------------------
Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:
https://upr-si.zoom.us/j/297328207
Vabljeni!
sreda, 2. junij 2021 Lisi QARKAXHIJA: Network based predictive modeling
V ponedeljek, 7. junija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.
ČAS/PROSTOR: 7. junij 2021 ob 16.00 na daljavo
-------------------------------------------
PREDAVATELJ: Lisi QARKAXHIJA
-------------------------------------------
Lisi Qarkaxhija is a second year student of the master programme in Data Science at UP FAMNIT. He will be presenting his Master's thesis topic that he is completing under the supervision of assoc. prof. Miklós Krész and PhD candidate László Hajdu.
--------------------------------------------------------------
NASLOV: Network based predictive modeling
--------------------------------------------------------------
POVZETEK:
Real world networks can be classified into several categories, namely social networks, information networks, technological networks, biological networks, etc. Citation networks are one of the most famous examples of information networks. Various methods have been proposed to predict the citation count of papers in the future. We propose a novel approach for predicting the citation count of papers up to 10 years in advance by extracting features of nodes (papers) from a temporal citation network. These results can be further generalized to other type of networks.
---------------------------------------------------------------------------------------------------
Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:
https://upr-si.zoom.us/j/297328207
Vabljeni!
