Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hamid Hassannejad"'
Publikováno v:
Physical Treatments, Vol 13, Iss 3 (2023)
Purpose: Military boots mileage is a main factor that can affect the risk of running injuries. The present study aims to evaluate the effect of three types of military boots mileage on knee muscular co-contraction during running. Methods: Fifteen he
Externí odkaz:
https://doaj.org/article/3e7241a8859d4252bc35eb254463ebb0
Autor:
Hamid Hassannejad, Guido Matrella, Paolo Ciampolini, Ilaria De Munari, Monica Mordonini, Stefano Cagnoni
Publikováno v:
Algorithms, Vol 10, Iss 2, p 66 (2017)
A balanced diet is the key to a healthy lifestyle and is crucial for preventing or dealing with many chronic diseases such as diabetes and obesity. Therefore, monitoring diet can be an effective way of improving people’s health. However, manual rep
Externí odkaz:
https://doaj.org/article/158e5d737e3f407d84576e662f8a71c9
Autor:
Stefano Cagnoni, Monica Mordonini, Ilaria De Munari, Hamid Hassannejad, Guido Matrella, Paolo Ciampolini
Publikováno v:
International Journal of Food Sciences and Nutrition. 68:656-670
Food intake and eating habits have a significant impact on people’s health. Widespread diseases, such as diabetes and obesity, are directly related to eating habits. Therefore, monitoring diet can be a substantial base for developing methods and se
Publikováno v:
Expert Systems with Applications. 42:4167-4176
We detect moving objects in roundabouts, regardless of their movement's pattern.A well-tuned combination of feature detection and pattern recognition is used.It is developed on GOLD platform and is tested on BRAiVE.The results are satisfying in terms
Autor:
Stefano Cagnoni, Hamid Hassannejad, Monica Mordonini, Ilaria De Munari, Guido Matrella, Paolo Ciampolini
Publikováno v:
MADiMa @ ACM Multimedia
We evaluated the effectiveness in classifying food images of a deep-learning approach based on the specifications of Google's image recognition architecture Inception. The architecture is a deep convolutional neural network (DCNN) having a depth of 5
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319243085
AI*IA
AI*IA
The popularity of mobile devices has fostered the emergence of plenty of new services, most of which rely on the use of their cameras. Among these, diet monitoring based on computer vision can be of particular interest. However, estimation of the amo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c234d1ec2d193bf33461fae046635ac
https://doi.org/10.1007/978-3-319-24309-2_6
https://doi.org/10.1007/978-3-319-24309-2_6
Publikováno v:
New Trends in Image Analysis and Processing--ICIAP 2015 Workshops ISBN: 9783319232218
ICIAP Workshops
ICIAP Workshops
Monitoring diet is crucial for preventing or dealing with many chronic diseases. Therefore, plenty of different methods have been developed to serve this purpose. Among these, automatic diet monitoring based on mobile devices are of particular intere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::371758724509e5efaf4a4808b6ab5258
https://doi.org/10.1007/978-3-319-23222-5_48
https://doi.org/10.1007/978-3-319-23222-5_48
Autor:
Monica Mordonini, Ilaria De Munari, Paolo Ciampolini, Guido Matrella, Hamid Hassannejad, Stefano Cagnoni
Publikováno v:
Algorithms; Volume 10; Issue 2; Pages: 66
Algorithms, Vol 10, Iss 2, p 66 (2017)
Algorithms, Vol 10, Iss 2, p 66 (2017)
A balanced diet is the key to a healthy lifestyle and is crucial for preventing or dealing with many chronic diseases such as diabetes and obesity. Therefore, monitoring diet can be an effective way of improving people’s health. However, manual rep