His primary scientific interests are in Artificial intelligence, Pattern recognition, Fuzzy logic, Computer vision and Fuzzy classification. His Artificial intelligence study is mostly concerned with Thresholding, Segmentation, Histogram, Pixel and Image segmentation. His work on Principal component analysis and Mixture model as part of general Pattern recognition research is often related to Statistical analysis, thus linking different fields of science.
His Principal component analysis study combines topics from a wide range of disciplines, such as Speech recognition and Right bundle branch block. His research in Fuzzy logic intersects with topics in Data mining and Image retrieval. His Fuzzy classification research is multidisciplinary, relying on both Balanced histogram thresholding, Fuzzy set operations and Fuzzy clustering.
Artificial intelligence, Pattern recognition, Computer vision, Pathology and Segmentation are his primary areas of study. His study in Fuzzy logic, Image processing, Image segmentation, Feature extraction and Pixel falls within the category of Artificial intelligence. His studies in Pattern recognition integrate themes in fields like Speech recognition, Fuzzy classification and Thresholding.
His Fuzzy classification research is multidisciplinary, incorporating elements of Fuzzy number, Defuzzification, Fuzzy set operations and Membership function. His study connects Fuzzy set and Computer vision. Ajoy Kumar Ray has researched Support vector machine in several fields, including Artificial neural network and Wavelet.
His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Fuzzy logic and Compressed sensing. His study in Segmentation, Deep learning, Wavelet, Thresholding and Artificial neural network falls under the purview of Artificial intelligence. Ajoy Kumar Ray works mostly in the field of Thresholding, limiting it down to topics relating to Gastroenterology and, in certain cases, Pathology.
Specifically, his work in Pattern recognition is concerned with the study of Mixture model. In general Computer vision, his work in Image processing, Automatic image annotation and Visual Word is often linked to Scheme linking many areas of study. His Fuzzy logic research is multidisciplinary, relying on both Voronoi diagram, Content-based image retrieval, Piecewise linear function and Feature extraction.
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Pathology, Oral submucous fibrosis and Immunohistochemistry. His work carried out in the field of Artificial intelligence brings together such families of science as Breast cancer and Computer vision. His work on Artifact, Wavelet transform and Image correction is typically connected to Band-stop filter as part of general Computer vision study, connecting several disciplines of science.
His Pattern recognition research focuses on Entropy and how it connects with Ground truth. His study in the field of Dysplasia is also linked to topics like Molecular pathology and Endoglin. As part of the same scientific family, he usually focuses on Thresholding, concentrating on Divergence and intersecting with Fuzzy classification, Fuzzy logic and Membership function.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Image Processing - Principles and Applications
Tinku Acharya;Ajoy K. Ray.
Journal of Electronic Imaging (2005)
Application of principal component analysis to ECG signals for automated diagnosis of cardiac health
Roshan Joy Martis;U. Rajendra Acharya;K. M. Mandana;A. K. Ray.
Expert Systems With Applications (2012)
Cardiac decision making using higher order spectra
Roshan Joy Martis;U. Rajendra Acharya;U. Rajendra Acharya;K. M. Mandana;Ajoy Kumar Ray.
Biomedical Signal Processing and Control (2013)
Investigations on fuzzy thresholding based on fuzzy clustering
C. V. Jawahar;Prabir K. Biswas;A. K. Ray.
Pattern Recognition (1997)
Application of higher order cumulant features for cardiac health diagnosis using ECG signals.
Roshan Joy Martis;U. Rajendra Acharya;U. Rajendra Acharya;Choo Min Lim;K. M. Mandana.
International Journal of Neural Systems (2013)
A new measure using intuitionistic fuzzy set theory and its application to edge detection
Tamalika Chaira;A. K. Ray.
soft computing (2008)
Color image segmentation: Rough-set theoretic approach
Milind M. Mushrif;Ajoy K. Ray.
Pattern Recognition Letters (2008)
A two-stage mechanism for registration and classification of ECG using Gaussian mixture model
Roshan Joy Martis;Chandan Chakraborty;Ajoy K. Ray.
Pattern Recognition (2009)
Texture Classification Using a Novel, Soft-Set Theory Based Classification Algorithm
Milind M. Mushrif;S. Sengupta;A. K. Ray.
Lecture Notes in Computer Science (2006)
Segmentation using fuzzy divergence
T. Chaira;A. K. Ray.
Pattern Recognition Letters (2003)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: