Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Asiful Arefeen"'
Publikováno v:
Sensors, Vol 23, Iss 14, p 6337 (2023)
Activity recognition using data collected with smart devices such as mobile and wearable sensors has become a critical component of many emerging applications ranging from behavioral medicine to gaming. However, an unprecedented increase in the diver
Externí odkaz:
https://doaj.org/article/61721beb442f4750ac6a4c3e07039033
Autor:
Seyed Iman Mirzadeh, Asiful Arefeen, Jessica Ardo, Ramin Fallahzadeh, Bryan Minor, Jung-Ah Lee, Janett A. Hildebrand, Diane Cook, Hassan Ghasemzadeh, Lorraine S. Evangelista
Publikováno v:
Smart Health (Amst)
BACKGROUND: Medication nonadherence is a critical problem with severe implications in individuals at risk for atherosclerotic cardiovascular disease. Many studies have attempted to predict medication adherence in this population, but few, if any, hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e9fa74c69171c17182834399a13cfe9
https://europepmc.org/articles/PMC10168531/
https://europepmc.org/articles/PMC10168531/
Autor:
Sai Vaibhav Polisetti Venkata, Shubhankar Sabat, Chinmay Anand Deshpande, Asiful Arefeen, Daniel Peterson, Hassan Ghasemzadeh
Publikováno v:
2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df466e71c9c97ab66fe0235c918c4365
https://doi.org/10.1109/bsn56160.2022.9928465
https://doi.org/10.1109/bsn56160.2022.9928465
Publikováno v:
2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46f176d22286faa2908a79b8eb4b1960
https://doi.org/10.1109/bsn56160.2022.9928449
https://doi.org/10.1109/bsn56160.2022.9928449
Autor:
Parastoo, Alinia, Saman, Parvaneh, Seyed-Iman, Mirzadeh, Asiful, Arefeen, Hassan, Ghasemzadeh
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
Automatic lying posture tracking is an important factor in human health monitoring. The increasing popularity of the wrist-based trackers provides the means for unobtrusive, affordable, and long-term monitoring with minimized privacy concerns for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89958e8bf866950219aad9432f52991e
https://doi.org/10.1109/embc48229.2022.9871946
https://doi.org/10.1109/embc48229.2022.9871946
Autor:
Asiful Arefeen
Speech is considered as the widest and most naturalmedium of communication. Speech can convey a plethora ofinformation regarding one’s mental, behavioral, emotional traits. Besides, speech-emotion recognition related work can aid in averting cyber
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25cd53f00347c0f8630caddbab9cbc43
Autor:
Asiful Arefeen
The increasing demand of smart security systems has enhanced the demand for the proper identification and verification of a person. In this context, accurate estimation of age as well as proper identification of gender is highly significant. Therefor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2668f7830b22fefd8d2726eec0bddd64
Autor:
Shashoto Sharif Mridul, Asiful Arefeen, Syed Taskeen Rahman, Samia Subrina, Asir Intisar Khan
Publikováno v:
2020 IEEE Region 10 Symposium (TENSYMP).
The increasing demand of smart security systems has enhanced the demand for the proper identification and verification of a person. In this context, accurate estimation of age as well as proper identification of gender is highly significant. Therefor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a0946f4f98feb4c5a9058101d6095e4
https://doi.org/10.1109/tensymp50017.2020.9230933
https://doi.org/10.1109/tensymp50017.2020.9230933
Autor:
Asiful Arefeen
Usage of Electric Vehicle (EV) around the world has been on the increase rapidly. As a result, their integration to the grid, dependency, reliability have raised the question of feasibility. Hence, numerous researches regarding their charging, fault
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c5a36c36b5a0cf3d85038f93e833747
Publikováno v:
2019 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON).
Of late, usage of neural network in the field of disease detection has been on advanced stage. Hence, ocular disease diagnosis has also been under the influence of machine learning. Human eye is very prone to disorders like cataract, glaucoma, myopia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b00405102a32e90a933dc909ba6db884
https://doi.org/10.1109/spicscon48833.2019.9065162
https://doi.org/10.1109/spicscon48833.2019.9065162