18.-23. marca 2024 bodo na Institutu "Jožef Stefan" potekali Dnevi Jožefa Stefana. Vabljeni na okrogle mize, šov eksperimentov, podelitev prizanj, predavanja... Ne pozabite: v soboto, 23. marca, je Dan odprtih vrat priložnost, da tudi sami vstopite v svet znanosti. Vabljeni!
Prof. dr. Ke Guan iz Beijing Jiaotong University, Kitajska, sodelavec #CommSysJSI, bo imel na #MPŠ s strani #IEEE vabljeno predavanje, z naslovom »Multispectral Ray-Tracing Plus Artificial Intelligence for Knowing Channels Better«; MPŠ, 21.7.2023 ob 11h https://t.co/Ic6RsxYlNc
📚 Excited to announce the publication of the book "Machine Learning for Indoor Localization and Navigation!" 🌐🏠 Honored to have contributed a chapter alongside Carolina Fortuna and Blaž Bertalanič. Great collaboration with edito…https://t.co/nKsATV4tNA https://t.co/pImwXNFtEN
Direction of arrival estimation for BLE: Antenna array design and evaluation https://t.co/fUdIziosEo via AEU - International Journal of Electronics and Communications
Authors: Aleš Simončič, Dr. Tomaž Javornik, Dr. Aleksander Sešek, Dr. Andrej Hrovat
#DoA#BLE#array#MUSIC
"Integrated Localization and Communication: Advances and Challenges" Special Issue in #MDPISensors Editors: Dr. Andrej Hrovat, Prof. Dr. Ke Guan, Dr. Yang Miao, Prof. Dr. Gordana Gardasevic
https://t.co/zECjoJW9Be
Great news 🎉! Our conference paper on "Learning to Detect Wireless Spectrum Occupancy Using Clustering Approaches" has been accepted to the #WiMob#workshop. We explore the challenges of technology and transmission recognition in…https://t.co/JA1vM6IlH7 https://t.co/KgRa3COibt
Colleagues at SensorLab present a new self-sufficient online method for characterizing wave propagation and localizing events on transmission lines. https://t.co/Y1bN5FY2Yv
#TransmissionLine#characterization#localization
The #Springer has published a book by associates of the Department of communications systems; Arsim Kelmendi, Aleš Švigelj, Tomaž Javornik, and Andrej Hrovat entitled Site Diversity in Satellite Communications: Modelling Using Copula Functions. https://t.co/NanE6f0UmL
📣 Priložnost za ambiciozne bodoče doktorske študente! 🎓
Moja mentorica išče motiviranega študenta, ki bi se pridružil naši raziskovalni skupini. 👇 #mladi#raziskovalci#ai#sensorlab https://t.co/Z6QnsCUieN
Non-Intrusive Privacy-Preserving Approach for Presence Monitoring Based on WiFi Probe Requests https://t.co/igKnxl0UCM #mdpisensors via @Sensors_MDPI Authors: Aleš Simončič, Miha Mohorčič, Prof. dr. Mihael Mohorčič @mohomiha , Dr. Andrej Hrovat #clustering#monitoring#OPTICS
Klemen Bregar giving a lecture at @CommSysJSI on advanced #indoor#positioning techniques focusing on the use of #UWB technology in living, office and industrial environments.
Unlock the potential of #EnergyDataEcosystems with our new data- and knowledge-driven approach for managing and processing energy resources. Our approach aims to extend analytics services portfolios and create a transparent energy data value chain. https://t.co/k5a9AGyipj
In the upcoming book chapter "Resource-aware Deep Learning for Wireless Fingerprinting Localization" https://t.co/2kyK7FWiWr, we overview #sustainability#green#ai, #localization, and help estimate #carbon#footprint for most commonly used #deeplearning building blocks.
How to improve clustering of spectrograms from unlabeled wireless transmissions? Self-supervised learning for clustering of spectral data is a good choice as we show in our latest study: https://t.co/JgCnLY5UxR
#deeplearning#wirelesscommunications#unsupervisedlearning
Positioning smart infrastructures related research we've been doing in SensorLab in a recent IEEE Industrial Electronics Magazine piece https://t.co/3fLFQVPyuR #SmartGrids#ArtificialIntelligence
How do you improve time series classification results? Simple, just transform them into images😉Our findings on time series to image transformations for improving classification are now available online in one of the best Computer Science journals
https://t.co/sdA7vCJdQ3