Search Results - "Shinde, Swati"

ColpoClassifier: A Hybrid Framework for Classification of the Cervigrams by Kalbhor, Madhura, Shinde, Swati

“…Colposcopy plays a vital role in detecting cervical cancer. Artificial intelligence-based methods have been implemented in the literature for the…”
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DeepCyto: a hybrid framework for cervical cancer classification by using deep feature fusion of cytology images by Shinde, Swati, Kalbhor, Madhura, Wajire, Pankaj

“…Cervical cancer is the second most commonly seen cancer in women. It affects the cervix portion of the vagina. The most preferred diagnostic test required for…”
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Concept drift detection and adaption framework using optimized deep learning and adaptive sliding window approach by Desale, Ketan Sanjay, Shinde, Swati V.

“…Concept drift in online streaming data is a common issue due to dynamic smart systems, which results in system failure or performance degradation. Though there…”
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CerviCell-detector: An object detection approach for identifying the cancerous cells in pap smear images of cervical cancer by Kalbhor, Madhura, Shinde, Swati, Wajire, Pankaj, Jude, Hemanth

“…Cervical cancer is the second most commonly seen cancer in women. It affects the cervix portion of the vagina. The most preferred diagnostic test required for…”
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Handwritten Marathi numeral recognition using stacked ensemble neural network by Mane, Deepak T., Tapdiya, Rushikesh, Shinde, Swati V.

“…Pattern Recognition is the method of mapping the inputs to their respective target classes based on features of data. In this paper a stacked ensemble…”
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Efficacy of native strains of entomopathogenic nematode, Heterorhabditis indica against the fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) from India by Shinde, Swati P., Ingole, D. B., Biradar, V. K., Gokte-Narkhedkar, Nandini, Lavhe, N. V., Thube, Shivaji H., Shah, Vivek, Prasad, Y. G.

“…Background The fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae), is a notorious polyphagous pest that has recently invaded India in…”
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Hybridization of Deep Learning Pre-Trained Models with Machine Learning Classifiers and Fuzzy Min-Max Neural Network for Cervical Cancer Diagnosis by Kalbhor, Madhura, Shinde, Swati, Popescu, Daniela Elena, Hemanth, D Jude

“…Medical image analysis and classification is an important application of computer vision wherein disease prediction based on an input image is provided to…”
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Linking climate change adaptation and disaster risk reduction: reconceptualizing flood risk governance in Mumbai by Zimmermann, Theresa, Shinde, Swati, Parthasarathy, D, Narayanan, NC

“…Climate-related hazards, urban development and changing vulnerability patterns compel cities across the world to deal with new and emerging forms of risk…”
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Immature gastric teratoma in an infant: A rare entity with review of literature by Sathe, Pragati, Agnihotri, Mona, Manudhane, Roopali, Shinde, Swati

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Biocontrol potential of entomopathogenic nematode, Heterorhabditis indica against pink bollworm, Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae) by Thube, Shivaji, Shinde, Swati, Shah, Vivek, Gokte-Narkhedkar, Nandini, Ingole, Dnyaneshwar, Nikoshe, Akash, Tenguri, Prabhulinga, Thavkar, Snehal, Fand, Babasaheb, Deshmukh, Vrushali, Prasad, Yenumula

“…Abstract Background The emergence of pink bollworm (PBW), Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae), in cotton due to Bt resistance and…”
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Lessons learned from conceptualising and operationalising the National Adolescent Health Programme or Rashtriya Kishor Swasthya Karyakram's Learning Districts Initiative in six districts of India by Barua, Alka, Chandra-Mouli, Venkatraman, Mehta, Rajesh, Shinde, Swati, Garg, Priyanka, Najam, Qazi, Gogoi, Aparajita, Ziauddin, Mohammed, Kochar, Priyanka, Kurup, Mini, Patil, Nilesh, Dhanu, Amita

“…In 2018, WHO with the support of the Ministry of Health and Family Welfare, India and partner organisations launched a Learning Districts Initiative to…”
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Extracting classification rules from modified fuzzy min–max neural network for data with mixed attributes by Shinde, Swati, Kulkarni, Uday

“…[Display omitted] •Proposed method modifies the fuzzy min–max neural network to handle both continuous and discrete attributes effectively.•It prunes the…”
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Extended fuzzy hyperline-segment neural network with classification rule extraction by Shinde, Swati, Kulkarni, Uday

“…•In EFHLSNN, learning is made insensitive to learning parameter, θ, as compared to other fuzzy min–max neural networks.•The EFHLSNN can be trained without…”
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Cervical cancer diagnosis using convolution neural network: feature learning and transfer learning approaches by Kalbhor, Madhura M., Shinde, Swati V.

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Federated learning aided breast cancer detection with intelligent Heuristic-based deep learning framework by Kumbhare, Savita, B.Kathole, Atul, Shinde, Swati

“…•To adopt Federated Learning-based breast cancer detection with heuristic-based DL.•To classify the Densenet-based features through Enhanced RNN (E-RNN)…”
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ECG Signal Processing using an Optimized Sliding Window Approach for Concept Drift Detection and Adaption by Desale, Ketan Sanjay, Shinde, Swati V.

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Juvenile PLA2G6 ‐Parkinsonism Due to Indian ‘Asian’ p. R741Q Mutation, and Response to STN DBS by Ravat, Parthvi, Shinde, Swati, Shinde, Shilpa R., Bangar, Santosh, Nayak, Naren, Agarwal, Pankaj A.

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Deep Learning-Based Real-Time Discriminate Correlation Analysis for Breast Cancer Detection by Bhende, Manisha, Thakare, Anuradha, Pant, Bhasker, Singhal, Piyush, Shinde, Swati, Saravanan, V.

“…Breast cancer is the most common cancer in women, and the breast mass recognition model can effectively assist doctors in clinical diagnosis. However, the…”
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Juvenile PLA2G6‐Parkinsonism Due to Indian ‘Asian’ p.R741Q Mutation, and Response to STN DBS by Ravat, Parthvi, Shinde, Swati, Shinde, Shilpa R., Bangar, Santosh, Nayak, Naren, Agarwal, Pankaj A.

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Retraction Note: Prediction and detection of harvesting stage in cotton fields using deep adversarial networks by Gangadhar, Ch, Reji, R., Bhanudas, Musmade Bhausaheb, Shinde, Swati Vijay, Kumar, Devendra, Kavitha, D.

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