Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Neagu, Daniel"'
Yes
The early diagnosis and personalised treatment of diseases are facilitated by machine learning. The quality of data has an impact on diagnosis because medical data are usually sparse, imbalanced, and contain irrelevant attributes, resulting
The early diagnosis and personalised treatment of diseases are facilitated by machine learning. The quality of data has an impact on diagnosis because medical data are usually sparse, imbalanced, and contain irrelevant attributes, resulting
Externí odkaz:
http://hdl.handle.net/10454/19555
Yes
Big data and machine learning result in agile and robust healthcare by expanding raw data into useful patterns for data-enhanced decision support. The available datasets are mostly small and unbalanced, resulting in non-optimal classificatio
Big data and machine learning result in agile and robust healthcare by expanding raw data into useful patterns for data-enhanced decision support. The available datasets are mostly small and unbalanced, resulting in non-optimal classificatio
Externí odkaz:
http://hdl.handle.net/10454/19291
Autor:
Sutton, Claire, Prowse, Julie M., McVey, Lynn, Elshehaly, M., Neagu, Daniel, Montague, Jane, Alvarado, Natasha, Tissiman, C., O'Connell, K., Eyers, Emma, Faisal, Muhammad, Randell, Rebecca
Yes
Effective strategic workforce planning for integrated and co-ordinated health and social care is essential if future services are to be resourced such that skill mix, clinical practice and productivity meet population health and social care
Effective strategic workforce planning for integrated and co-ordinated health and social care is essential if future services are to be resourced such that skill mix, clinical practice and productivity meet population health and social care
Externí odkaz:
http://hdl.handle.net/10454/19427
Yes
Immunotherapy treatments can be essential sometimes and a waste of valuable resources in other cases, depending on the diagnosis results. Therefore, researchers in immunotherapy need to be updated on the current status of research by explori
Immunotherapy treatments can be essential sometimes and a waste of valuable resources in other cases, depending on the diagnosis results. Therefore, researchers in immunotherapy need to be updated on the current status of research by explori
Externí odkaz:
http://hdl.handle.net/10454/19308
Yes
This study introduces a quantum-inspired computational paradigm to address the unresolved problem of Convolutional Neural Networks (CNNs) using the Rectified Linear Unit (ReLU) activation function (AF), i.e., the ‘dying ReLU’. This probl
This study introduces a quantum-inspired computational paradigm to address the unresolved problem of Convolutional Neural Networks (CNNs) using the Rectified Linear Unit (ReLU) activation function (AF), i.e., the ‘dying ReLU’. This probl
Externí odkaz:
http://hdl.handle.net/10454/18613
Autor:
Khalfaoui, S., Manouvrier, E., Briot, A., Delaux, D., Butel, S., Ibrahim, Jesutofunmi, Kanyere, Tatenda, Orimogunje, Bola, Abdullatif, Amr A.A., Neagu, Daniel
Yes
Quality control has long been one of the most challenging fields of manufacturing. The development of advanced sensors and the easier collection of high amounts of data designate the machine learning techniques as a timely natural step forwa
Quality control has long been one of the most challenging fields of manufacturing. The development of advanced sensors and the easier collection of high amounts of data designate the machine learning techniques as a timely natural step forwa
Externí odkaz:
http://hdl.handle.net/10454/19037
Yes
Diagnostics and prognostics have significant roles in the reliability enhancement of systems and are focused topics of active research. Engineered systems are becoming more complex and are subjected to miscellaneous failure modes that impact
Diagnostics and prognostics have significant roles in the reliability enhancement of systems and are focused topics of active research. Engineered systems are becoming more complex and are subjected to miscellaneous failure modes that impact
Externí odkaz:
http://hdl.handle.net/10454/18581
yes
This paper presents a methodology for fault detection, fault prediction and fault isolation based on the integration of hidden Markov modelling (HMM) and Bayesian networks (BN). This addresses the nonlinear and non-Gaussian data characterist
This paper presents a methodology for fault detection, fault prediction and fault isolation based on the integration of hidden Markov modelling (HMM) and Bayesian networks (BN). This addresses the nonlinear and non-Gaussian data characterist
Externí odkaz:
http://hdl.handle.net/10454/18518
Autor:
Tambuwal, Ahmad I., Neagu, Daniel
Yes
Time-series anomaly detection receives increasing research interest given the growing number of data-rich application domains. Recent additions to anomaly detection methods in research literature include deep neural networks (DNNs: e.g., RNN
Time-series anomaly detection receives increasing research interest given the growing number of data-rich application domains. Recent additions to anomaly detection methods in research literature include deep neural networks (DNNs: e.g., RNN
Externí odkaz:
http://hdl.handle.net/10454/18658
Autor:
Yang, C., Cronin, M.T.D., Arvidson, K.B., Bienfait, B., Enoch, S.J., Heldreth, B., Hobocienski, B., Muldoon-Jacobs, K., Lan, Y., Madden, J.C., Magdziarz, T., Marusczyk, J., Mostrag, A., Nelms, M., Neagu, Daniel, Przybylak, K., Rathman, J.F., Park, J., Richarz, A.-N., Richard, A.M., Ribeiro, J.V., Sacher, O., Schwab, C., Volarath, P., Worth, A.P.
Yes
The COSMOS Database (DB) was originally established to provide reliable data for cosmetics-related chemicals within the COSMOS Project funded as part of the SEURAT-1 Research Initiative. The database has subsequently been maintained and deve
The COSMOS Database (DB) was originally established to provide reliable data for cosmetics-related chemicals within the COSMOS Project funded as part of the SEURAT-1 Research Initiative. The database has subsequently been maintained and deve
Externí odkaz:
http://hdl.handle.net/10454/18895