Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Fatemeh Noroozi"'
Publikováno v:
Iranian Journal of Basic Medical Sciences, Vol 27, Iss 6, Pp 678-684 (2024)
Objective(s): Renal and testicular disorders are primarily associated with oxidative damage and inflammation. Here, alpha-pinene (a type of monoterpene) was investigated for its effect on oxidative/nitrosative stress and the expression of inflammator
Externí odkaz:
https://doaj.org/article/880253bb32a6428a9a85099d32b56002
Publikováno v:
Machines, Vol 11, Iss 7, p 722 (2023)
Motion planning algorithms have seen considerable progress and expansion across various domains of science and technology during the last few decades, where rapid advancements in path planning and trajectory optimization approaches have been made pos
Externí odkaz:
https://doaj.org/article/c5dda16b407942719f8aff1ce151be8e
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-14 (2017)
Abstract Distinguishing identical twins using their face images is a challenge in biometrics. The goal of this study is to construct a biometric system that is able to give the correct matching decision for the recognition of identical twins. We prop
Externí odkaz:
https://doaj.org/article/f953c778ebab41eeaa19ed83e9166e60
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 124:2973-3000
Despite their contributions to the financial efficiency and environmental sustainability of industrial processes, robotic assembly and disassembly have been understudied in the existing literature. This is in contradiction to their importance in real
Autor:
Fatemeh Noroozi
Publikováno v:
Fatemeh Noroozi
Väitekirja elektrooniline versioon ei sisalda publikatsioone
Üks afektiivse arvutiteaduse peamistest huviobjektidest on mitmemodaalne emotsioonituvastus, mis leiab rakendust peamiselt inimese-arvuti interaktsioonis. Emotsiooni äratundmiseks u
Üks afektiivse arvutiteaduse peamistest huviobjektidest on mitmemodaalne emotsioonituvastus, mis leiab rakendust peamiselt inimese-arvuti interaktsioonis. Emotsiooni äratundmiseks u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26aaee40dad6e595780ab2a422e758e5
Publikováno v:
Jentashapir Journal of Cellular and Molecular Biology. 12
Background: Among the known ABL mutations in chronic myeloid leukemia (CML), T315I is of particular importance. The T315I mutation may develop resistant cells that increase disease progression. TWIST-1 expression is impaired in patients with increase
Publikováno v:
IEEE Transactions on Affective Computing. 10:60-75
This paper presents a multimodal emotion recognition system, which is based on the analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral Coefficients, Filter Bank Energies and prosodic features are extracted. For the visua
Autor:
Fatemeh Sadat Hoseini, Mohammad Eslami, Mohammed Abbasi, Fatemeh Noroozi Fashkhami, Soheila Besharati
Publikováno v:
Iranian Journal of Public Health, Vol 42, Iss 10 (2013)
We aimed to compare acceptability of Levonorgestrel with the Yuzpe regimen among Iranian women based on their side-effects and resulting changes in the amount and pattern of menses.Five hundred twenty nine participants aged 15-49 having regular mense
Externí odkaz:
https://doaj.org/article/e2f161b4a7c64b40af1fe6832fcf6dc1
Publikováno v:
Journal of the Audio Engineering Society. 65:562-572
This paper investigates and compares three different classifiers-multi-class Support Vector Machine, Adaboost, and random forests-for the purpose of vocal emotion recognition. Additionally, the decisions of all classifiers are combined using majority
Automatic facial analysis is a fundamental subject in affective computing. Its main applications involve human-computer interaction. The systems developed for this purpose consider combinations of different modalities, based on vocal and visual cues.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69c7834c98312946baafa30597e73b35
https://doi.org/10.1117/3.2322572.ch1
https://doi.org/10.1117/3.2322572.ch1