An explainable deep learning architecture for skin lesion classification and localization based on the HAM10000 dataset is proposed that integrates the concepts of classification representation learning and lesion localization in a single architecture by incorporating image-based lesion classification alongside lesion...
Sameer Tembhurney, Rucha Rajiv Shastrakar, Anjali Gondane et al.· International journal of com...· 0 citations
A new solution that allows integrating multiple technologies into the process of disease prediction, which includes machine learning, deep learning, as well as explainable AI, are incorporated into the system, which demonstrates how AI multi-models can easily scale and be explained.
Sameer Tembhurney, S. Shende, Asakti Rautkar et al.· International journal of com...· 0 citations
The proposed intelligent classification framework provides a scalable solution for automated grain inspection, food authentication, precision agriculture, and smart agricultural decision-support applications and achieves superior classification capability with high prediction reliability and strong generalization perfo...
Rajasekaran Saminatha, Rajat Verma, Ashwini Lokhande et al.· International journal of com...· 0 citations
An automatic approach for fake news detection which utilizes NLP, sentiment analysis, semantic embedding methods and several machine learning algorithms has been developed in this paper.
Sneha K. Patle, Bhushan Gedam, Sameer Tembhurney et al.· International journal of com...· 0 citations
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