Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zabit Hameed"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-21 (2022)
Abstract Breast cancer is a common malignancy and a leading cause of cancer-related deaths in women worldwide. Its early diagnosis can significantly reduce the morbidity and mortality rates in women. To this end, histopathological diagnosis is usuall
Externí odkaz:
https://doaj.org/article/b008e5baa24e4a9ab4f008474e902890
Autor:
Zabit Hameed, Begonya Garcia-Zapirain
Publikováno v:
IEEE Access, Vol 8, Pp 73992-74001 (2020)
This study presents a computationally efficient deep learning model for binary sentiment classification, which aims to decide the sentiment polarity of people's opinions, attitudes, and emotions expressed in written text. To achieve this, we exploite
Externí odkaz:
https://doaj.org/article/89858ddc034849d694f9549877a5ce03
Publikováno v:
Sensors, Vol 20, Iss 16, p 4373 (2020)
Breast cancer is one of the major public health issues and is considered a leading cause of cancer-related deaths among women worldwide. Its early diagnosis can effectively help in increasing the chances of survival rate. To this end, biopsy is usual
Externí odkaz:
https://doaj.org/article/538f63f2b5bb47af9309bc59c772d687
Publikováno v:
PLoS ONE, Vol 13, Iss 1, p e0191392 (2018)
Epilepsy is a brain disorder characterised by the recurrent and unpredictable interruptions of normal brain function, called epileptic seizures. The present study attempts to derive new diagnostic indices which may delineate between ictal and interic
Externí odkaz:
https://doaj.org/article/05f1506446f04405bba5902cd8bf6324
Publikováno v:
Scientific reports. 12(1)
Breast cancer is a common malignancy and a leading cause of cancer-related deaths in women worldwide. Its early diagnosis can significantly reduce the morbidity and mortality rates in women. To this end, histopathological diagnosis is usually followe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7357182345518f1cab0118e9dc8b85a
https://pubmed.ncbi.nlm.nih.gov/36114214
https://pubmed.ncbi.nlm.nih.gov/36114214
Publikováno v:
ISSPIT
This paper presents a comparably simpler yet effective deep learning approach for sentiment analysis of Twitter topics. We automatically collected positive and negative tweets and labeled them manually, and thus created a new dataset. We then leverag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ad3174dac7e187fee60603143519175
https://doi.org/10.1109/isspit51521.2020.9408866
https://doi.org/10.1109/isspit51521.2020.9408866
Publikováno v:
ISSPIT
Sentiment analysis is a crucial task in natural language processing (NLP), aiming at the extraction of opinions expressed in the texts. This paper aims at a computationally efficient approach for the classification of positive and negative sentiments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::609c85491ee982b56826d55c478796f7
https://doi.org/10.1109/isspit47144.2019.9001781
https://doi.org/10.1109/isspit47144.2019.9001781
Publikováno v:
Sensors
Volume 20
Issue 16
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4373, p 4373 (2020)
Volume 20
Issue 16
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 4373, p 4373 (2020)
Breast cancer is one of the major public health issues and is considered a leading cause of cancer-related deaths among women worldwide. Its early diagnosis can effectively help in increasing the chances of survival rate. To this end, biopsy is usual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::640092b62e64e0edd61d1cef62036406
https://doi.org/10.3390/s20164373
https://doi.org/10.3390/s20164373
Publikováno v:
PLoS ONE, Vol 13, Iss 1, p e0191392 (2018)
PLoS ONE
PLoS ONE
Epilepsy is a brain disorder characterised by the recurrent and unpredictable interruptions of normal brain function, called epileptic seizures. The present study attempts to derive new diagnostic indices which may delineate between ictal and interic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed0884db016d512e71e33ddc6a2a25b4
http://europepmc.org/articles/PMC5774786?pdf=render
http://europepmc.org/articles/PMC5774786?pdf=render