Search Results - "Kumar, Santhos"

Class label altering fuzzy min-max network and its application to histopathology image database by Santhos Kumar, A., Kumar, Anil, Bajaj, Varun, Singh, Girish Kumar

“…•CLAFMM, to alter the class label depending on a secondary training set, is proposed.•CLAFMM is compared with FMM, EFMM and Kn-FMM networks for different…”
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An Improved Fuzzy Min-Max Neural Network for Data Classification by Kumar, Santhos A., Kumar, Anil, Bajaj, Varun, Singh, Girish Kumar

“…Hyperbox classifier is an efficient tool for modern pattern classification problems due to its transparency and rigorous use of Euclidian geometry. Fuzzy…”
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A compact fuzzy min max network with novel trimming strategy for pattern classification by A., Santhos Kumar, Kumar, A., Bajaj, V., Singh, G.K.

“…Hyperbox classifier has large contribution to the field of pattern classification, because of its efficiency and transparency. Hyperbox classifier is…”
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Variational mode decomposition-based EEG analysis for the classification of disorders of consciousness by Raveendran, Sreelakshmi, Kenchaiah, Raghavendra, Kumar, Santhos, Sahoo, Jayakrushna, Farsana, M K, Chowdary Mundlamuri, Ravindranadh, Bansal, Sonia, Binu, V S, Ramakrishnan, A G, Ramakrishnan, Subasree, Kala, S

“…Aberrant alterations in any of the two dimensions of consciousness, namely awareness and arousal, can lead to the emergence of disorders of consciousness…”
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A novel pectoral muscle segmentation from scanned mammograms using EMO algorithm by Avuti, Santhos Kumar, Bajaj, Varun, Kumar, Anil, Singh, Girish Kumar

“…Mammogram images are majorly used for detecting the breast cancer. The level of positivity of breast cancer is detected after excluding the pectoral muscle…”
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Formulation and evaluation of bi-layer floating tablets of ziprasidone HCl and trihexyphenidyl HCl by Dinakaran, Sathis Kumar, Kumar, Santhos, Banji, David, Avasarala, Harani, Rao, Venkateshwar

“…The purpose of this research study was to establish ziprasidone HCl NR 40 mg and trihexyphenidyl HCl SR 4mg in the form of bi-layer sustained release floating…”
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Histopathology Image Classification using Enhanced Fuzzy Min-Max network by Santhos Kumar, A, Kumar, Anil, Bajaj, Varun, Singh, G. K.

“…Histopathology image classification can offer great support towards breast cancer identification. In this paper, an Enhanced fuzzy min max (EFMM) neural…”
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K-highest Fuzzy Min-Max Network to Classify Histopathological Images by A., Santhos Kumar, Kumar, A., Bajaj, V., Singh, G. K.

“…Classification of histopathological images provides great support towards breast cancer diagnosis. Hence, in this work, a Fuzzy Min-Max with a K-highest…”
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A Fuzzy Min-Max Neural Network based Classification of Histopathology Images by Kumar, Santhos A, Kumar, A., Bajaj, V., Singh, G. K., Kuldeep, B.

“…Classification of histopathology images can provide support towards diagnosis of breast cancer. In this study, a Fuzzy Min-Max (FMM) network based approach is…”
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McCulloch’s algorithm inspired cuckoo search optimizer based mammographic image segmentation by Santhos, Kumar A., Kumar, A., Bajaj, V., Singh, G. K.

“…Multi-level thresholding for mammogram image segmentation leads to much better sub-sections of the intensity span, and hence very useful in breast cancer…”
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SARS-CoV-2 seroprevalence in the city of Hyderabad, India in early 2021 by Laxmaiah, Avula, Rao, Nalam Madhusudhan, Arlappa, N., Babu, Jagjeevan, Kumar, P. Uday, Singh, Priya, Sharma, Deepak, Anumalla, V. Mahesh, Kumar, T. Santhosh, Sabarinathan, R., Kumar, M. Santhos, Ananthan, R., Basha, D. Anwar, Blessy, P.P.S., Kumar, D. Chandra, Devaraj, P., Devendra, S., Kumar, M. Mahesh, Meshram, Indrapal I., Kumar, B. Naveen, Sharma, Paras, Raghavendra, P., Raghu, P., Rao, K. Rajender, Ravindranadh, P., Kumar, B. Santosh, Sarika, G., Rao, J. Srinivasa, Surekha, M.V., Sylvia, F., Kumar, Deepak, Rao, G. Subba, Tallapaka, Karthik Bharadwaj, Sowpati, Divya Tej, Srivastava, Surabhi, Murhekar, V. Manoj, Hemalatha, Rajkumar, Mishra, Rakesh K.

“…COVID-19 emerged as a global pandemic in 2020, spreading rapidly to most parts of the world. The proportion of infected individuals in a population can be…”
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Image Segmentation Using Particle Swarm Optimization and Simulated Annealing by Pavithran, Aswathy, Kumar, Santhos, S, Kala, Thomas, Della

“…A significant amount of picture segmentation is necessary for the accurate identification and diagnosis of the object of interest present in the image. Low…”
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Comparative study of convolutional neural networks for leaf classification in Ayurveda by Kunjachan, S., Remya, R., Kumar, S., Asish, G. R., Sheela, K., Kala, S.

“…Ayurveda, the traditional system of Indian medicine and healthcare has proven itself over the past centuries. It has grown in acceptance and repute in the eyes…”
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Scalp EEG-based Classification of Disorder of Consciousness States using Machine Learning Techniques by Raveendran, Sreelakshmi, Kumar, Santhos, Kenchiah, Raghavendra, K, Farsana M, Choudary, Ravindranath, Bansal, Sonia, S, Binu V, Ramakrishnan, A G, R, Subasree, S, Kala

“…Disorders of consciousness (DOC) described by impaired wakefulness and awareness, can be categorized into Coma, Unresponsive Wakefulness Syndrome (UWS), and…”
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QoS based light path provisioning and performance analysis in WDM network by Dhanya, V. V., Das, S. K., Patra, S. K.

“…In this paper, we explore the issue of connection provisioning and performance analysis in WDM network ensuring the QoS requirement of the connection requests…”
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Fractional-Order Darwinian Swarm Intelligence Inspired Multilevel Thresholding for Mammogram Segmentation by Kumar, A. Santhos, Kumar, A., Bajaj, V., Singh, G. K.

“…Multilevel thresholding is more accurate than the classical thresholding method for segmenting a digital mammogram, since it uses more number of intensities to…”
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