Monitoring Mixing Processes Using Ultrasonic Sensors and Machine Learning von Bowler, Alexander L, Bakalis, Serafim, Watson, Nicholas J

Volltext

NKG2D Ligand Expression in Human Colorectal Cancer Reveals Associations with Prognosis and Evidence for Immunoediting von McGilvray, Roger W, Eagle, Robert A, Watson, Nicholas F S, Al-Attar, Ahmad, Ball, Graham, Jafferji, Insiya, Trowsdale, John, Durrant, Lindy G

Volltext

A Multiple Case Study on Small and Mid-Size Enterprise Managers’ Lived Experiences on the Impact of Job Losses on Outsourcing Practices von Watson, Nicholas

Volltext

Intratumoral T cell infiltration, MHC class I and STAT1 as biomarkers of good prognosis in colorectal cancer von Simpson, Jonathan A D, Al-Attar, Ahmad, Watson, Nicholas F S, Scholefield, John H, Ilyas, Mohammad, Durrant, Lindy G

Volltext

A review of ultrasonic sensing and machine learning methods to monitor industrial processes von Bowler, Alexander L., Pound, Michael P., Watson, Nicholas J.

Volltext

The Effect of Light Intensity, Sensor Height, and Spectral Pre-Processing Methods when using NIR Spectroscopy to Identify Different Allergen-Containing Powdered Foods von Rady, Ahmed, Fischer, Joel, Reeves, Stuart, Logan, Brian, Watson, Nicholas James

Volltext

Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems von Fisher, Oliver J, Watson, Nicholas J, Escrig, Josep E, Witt, Rob, Porcu, Laura, Bacon, Darren, Rigley, Martin, Gomes, Rachel L

Volltext

Endothelial cell tube formation assay for the in vitro study of angiogenesis von DeCicco-Skinner, Katie L, Henry, Gervaise H, Cataisson, Christophe, Tabib, Tracy, Gwilliam, J Curtis, Watson, Nicholas J, Bullwinkle, Erica M, Falkenburg, Lauren, O'Neill, Rebecca C, Morin, Adam, Wiest, Jonathan S

Volltext

Transfer learning for process monitoring using reflection-mode ultrasonic sensing von Bowler, Alexander L, Watson, Nicholas J

Volltext

A review of in-line and on-line measurement techniques to monitor industrial mixing processes von Bowler, Alexander Lewis, Bakalis, Serafim, Watson, Nicholas James

Volltext

Domain Adaptation for In-Line Allergen Classification of Agri-Food Powders Using Near-Infrared Spectroscopy von Bowler, Alexander Lewis, Ozturk, Samet, Rady, Ahmed, Watson, Nicholas

Volltext

Embedding AI-Enabled Data Infrastructures for Sustainability in Agri-Food: Soft-Fruit and Brewery Use Case Perspectives von Markovic, Milan, Li, Andy, Ayall, Tewodros Alemu, Watson, Nicholas J, Bowler, Alexander L, Woods, Mel, Edwards, Peter, Ramsey, Rachael, Beddows, Matthew, Kuhnert, Matthias, Leontidis, Georgios

Volltext

Apricot Stone Classification Using Image Analysis and Machine Learning von Ropelewska, Ewa, Rady, Ahmed M, Watson, Nicholas J

Volltext

AI-Assisted Cotton Grading: Active and Semi-Supervised Learning to Reduce the Image-Labelling Burden von Fisher, Oliver J., Rady, Ahmed, El-Banna, Aly A. A., Emaish, Haitham H., Watson, Nicholas J.

Volltext

Immunosurveillance is active in colorectal cancer as downregulation but not complete loss of MHC class I expression correlates with a poor prognosis von Watson, Nicholas F.S., Ramage, Judith M., Madjd, Zahra, Spendlove, Ian, Ellis, Ian O., Scholefield, John H., Durrant, Lindy G.

Volltext

Mechanism of Visible Light-Mediated Alkene Aminoarylation with Arylsulfonylacetamides von Allen, Anthony R., Poon, Jia-Fei, McAtee, Rory C., Watson, Nicholas B., Pratt, Derek A., Stephenson, Corey R.J.

Volltext

Enhanced Clean-In-Place Monitoring Using Ultraviolet Induced Fluorescence and Neural Networks von Simeone, Alessandro, Deng, Bin, Watson, Nicholas, Woolley, Elliot

Volltext

Overexpression of FLIPL Is an Independent Marker of Poor Prognosis in Colorectal Cancer Patients von ULLENHAG, Gustave J, MUKHERJEE, Abhik, WATSON, Nicholas F. S, AL-ATTAR, Ahmad H, SCHOLEFIELD, John H, DURRANT, Lindy G

Volltext

Near-infrared Spectroscopy and Hyperspectral Imaging for Sugar Content Evaluation in Potatoes over Multiple Growing Seasons von Rady, Ahmed M, Guyer, Daniel E, Watson, Nicholas J

Volltext

Expression of the stress‐related MHC class I chain‐related protein MICA is an indicator of good prognosis in colorectal cancer patients von Watson, Nicholas F.S., Spendlove, Ian, Madjd, Zahra, McGilvray, Roger, Green, Andrew R., Ellis, Ian O., Scholefield, John H., Durrant, Lindy G.

Volltext