Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Miha Mlakar"'
1
Akademický článek
Adult height prediction using the growth curve comparison method
Autor: Miha Mlakar, Anton Gradišek, Mitja Luštrek, Gregor Jurak, Maroje Sorić, Bojan Leskošek, Gregor Starc
Publikováno v: PLoS ONE, Vol 18, Iss 2 (2023)
Understanding the growth pattern is important in view of child and adolescent development. Due to different tempo of growth and timing of adolescent growth spurt, individuals reach their adult height at different ages. Accurate models to assess the g
Externí odkaz: https://doaj.org/article/3f61090669d247f98dc4b217d733def7
Zobrazit plný text záznamu
2
Akademický článek
Mining telemonitored physiological data and patient-reported outcomes of congestive heart failure patients.
Autor: Miha Mlakar, Paolo Emilio Puddu, Maja Somrak, Silvio Bonfiglio, Mitja Luštrek, Chiron and HeartMan research projects
Publikováno v: PLoS ONE, Vol 13, Iss 3, p e0190323 (2018)
This paper addresses patient-reported outcomes (PROs) and telemonitoring in congestive heart failure (CHF), both increasingly important topics. The interest in CHF trials is shifting from hard end-points such as hospitalization and mortality, to soft
Externí odkaz: https://doaj.org/article/8db942c415f5433485f9bff7f67ac58d
Zobrazit plný text záznamu
3
Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors
Autor: Jani Bizjak, Nina Reščič, Vito Janko, Matej Marinko, Matjaž Gams, Mitja Luštrek, Gašper Slapničar, Nejc Mlakar, Vid Drobnič, Martin Gjoreski, Miha Mlakar
Publikováno v: Information Fusion. 62:47-62
The Sussex-Huawei Locomotion-Transportation Recognition Challenge presented a unique opportunity to the activity-recognition community to test their approaches on a large, real-life benchmark dataset with activities different from those typically rec
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7539aad23a7187b1497fbbfd61a7f27
https://doi.org/10.1016/j.inffus.2020.04.004
Zobrazit plný text záznamu
5
Electrothermal and Overload Performance of Metal-Oxide Varistors
Autor: Miha Mlakar, Thomas E. Tsovilis, Zumret Topcagic
Publikováno v: IEEE Transactions on Power Delivery. 35:1180-1188
The energy absorption capability of metal-oxide varistors, decidedly influenced by the electrothermal processes occurring within their microstructures, is a vital parameter for the effective surge protection. This paper proposes a numerical model for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e973436203339b3e1ad3566d028d0742
https://doi.org/10.1109/tpwrd.2019.2935411
Zobrazit plný text záznamu
6
A Personal Health System for Self-Management of Congestive Heart Failure (HeartMan)
Autor: Erik Dovgan, Mitja Luštrek, Karin Slegers, Aljoša Vodopija, Marko Bohanec, Els Clays, Paolo Emilio Puddu, Carlos Cavero Barca, Miha Mlakar, Jan Derboven, Flavia Marino, Jakob Valič, Gennaro Tartarisco, Juan Mario Rodríguez, Giovanni Pioggia, Amos Adeyemo Dawodu, Jure Lampe, Gašper Slapničar, Michele Schiariti, Maria Costanza Ciancarelli, Delphine De Smedt
Publikováno v: JMIR. Journal of medical internet research 9 (2021): e24501. doi:10.2196/24501
info:cnr-pdr/source/autori:Mitja Lustrek; Marko Bohanec; Carlos Cavero Barca; Maria Costanza Ciancarelli; Els Clays; Amos Adeyemo Dawodu; Jan Derboven; Delphine De Smedt; Erik Dovgan; Jure Lampe; Flavia Marino; Miha Mlakar; Giovanni Pioggia; Paolo Emilio Puddu; Juan Mario Rodríguez; Michele Schiariti; Gasper Slapnikar; Karin Slegers; Gennaro Tartarisco; Jakob Valic; Aljosa Vodopija/titolo:A Personal Health System for Self-Management of Congestive Heart Failure (HeartMan): Development, Technical Evaluation, and Proof-of-Concept Randomized Controlled Trial/doi:10.2196%2F24501/rivista:JMIR. Journal of medical internet research/anno:2021/pagina_da:e24501/pagina_a:/intervallo_pagine:e24501/volume:9
JMIR MEDICAL INFORMATICS
JMIR Medical Informatics, 9(3):e24501. JMIR PUBLICATIONS, INC
JMIR Medical Informatics, Vol 9, Iss 3, p e24501 (2021)
JMIR Medical Informatics
BackgroundCongestive heart failure (CHF) is a disease that requires complex management involving multiple medications, exercise, and lifestyle changes. It mainly affects older patients with depression and anxiety, who commonly find management difficu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd40b847ff1026eb5f1af9e6c4b5868f
https://doi.org/10.2196/24501
Zobrazit plný text záznamu
8
Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge
Autor: Matjaž Gams, Matej Marinko, Gašper Slapničar, Martin Gjoreski, Vid Drobnič, Vito Janko, Miha Mlakar, Nina Reščič, Nejc Mlakar, Mitja Luštrek, Jani Bizjak
Publikováno v: Human Activity Sensing ISBN: 9783030130008
Human Activity Sensing
The Sussex-Huawei Locomotion-Transportation Recognition Challenge presented a unique opportunity to the activity-recognition community to test their approaches on a large, real-life benchmark dataset with activities different from those typically bei
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04aedcb1521ac31371dfd9a57ef47507
https://doi.org/10.1007/978-3-030-13001-5_15
Zobrazit plný text záznamu
9
Applying Multiple Knowledge to Sussex-Huawei Locomotion Challenge
Autor: Gašper Slapničar, Matjaž Gams, Mitja Luštrek, Jani Bizjak, Vito Janko, Miha Mlakar, Nina Reščič, Matej Marinko, Vid Drobnič, Martin Gjoreski
Publikováno v: UbiComp/ISWC Adjunct
In recent years, activity recognition (AR) has become prominent in ubiquitous systems. Following this trend, the Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge provides a unique opportunity for researchers to test their AR method
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::72d1f56e4bbc8e6ad78d798cda6af2be
https://doi.org/10.1145/3267305.3267515
Zobrazit plný text záznamu
10
A New Frontier for Activity Recognition
Autor: Mitja Luštrek, Matjaž Gams, Jani Bizjak, Matej Marinko, Nina Reščič, Miha Mlakar, Vid Drobnič, Martin Gjoreski, Vito Janko, Gašper Slapničar
Publikováno v: UbiComp/ISWC Adjunct
The Sussex-Huawei Locomotion-Transportation recognition challenge presents a unique opportunity to the activity-recognition community - providing a large, real-life dataset with activities different from those typically being recognized. This paper d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::998e9220cdcc0c6b01f0fdb2d15260bc
https://doi.org/10.1145/3267305.3267518
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje