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Healthcare Professional in the Loop (HPIL): Classification of Standard and Oral Cancer-Causing Anomalous Regions of Oral Cavity Using Textural Analysis Technique in Autofluorescence Imaging.

, , , , , , , , , and . Sensors, 20 (20): 5780 (2020)

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Deep learning-based diagnosis of Alcohol use disorder (AUD) using EEG., , , and . ICCE-Berlin, page 1-5. IEEE, (2022)Machine Learning Framework for the Detection of Mental Stress at Multiple Levels., , , , and . IEEE Access, (2017)Sparse Representation for Crowd Attributes Recognition., , , , , and . IEEE Access, (2017)SpecSeg Network for Specular Highlight Detection and Segmentation in Real-World Images., , , , and . Sensors, 22 (17): 6552 (2022)Secure & robust RED (SR-RED)., , and . ICT, page 1-5. IEEE, (2013)Healthcare Professional in the Loop (HPIL): Classification of Standard and Oral Cancer-Causing Anomalous Regions of Oral Cavity Using Textural Analysis Technique in Autofluorescence Imaging., , , , , , , , , and . Sensors, 20 (20): 5780 (2020)Detecting clones in wireless sensor networks using Single Stage Memory Random Walk with Network Division., , , and . APCCAS, page 559-562. IEEE, (2014)Detecting replicated nodes in Wireless Sensor Networks using random walks and network division., , , , and . WCNC, page 2623-2628. IEEE, (2014)An EEG-based functional connectivity measure for automatic detection of alcohol use disorder., , , , and . Artif. Intell. Medicine, (2018)Scrutinising well-known countermeasures against clone node attack in mobile wireless sensor networks., , and . Int. J. Grid Util. Comput., 4 (2/3): 119-127 (2013)