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117 results on '"Patil, Sonali"'

2. Rose Plant Disease Detection Using Machine Learning

Author

Pawade, Dipti, Dharangaonkar, Sarika, Patil, Sonali, Joshi, Tanuj, Parkhe, Siddhesh, Patil, Atharva, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Somani, Arun K., editor, Mundra, Ankit, editor, Gupta, Rohit Kumar, editor, Bhattacharya, Subhajit, editor, and Mazumdar, Arka Prokash, editor

Published
2024
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3. Challenges and Key Issues in IoT Privacy and Security

Author

Kathole, Atul B., Kimbahune, Vinod V., Patil, Sonali D., Jadhav, Avinash P., Vhatkar, Kapil N., Fortino, Giancarlo, Series Editor, Liotta, Antonio, Series Editor, Prasad, Ajay, editor, Singh, Thipendra P., editor, and Dwivedi Sharma, Samidha, editor

Published
2024
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4. Leveled Approach of Context Setting in Semantic Understanding of Remote Sensing Images

Author

Ahuja, Stuti, Patil, Sonali, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Shaw, Rabindra Nath, editor, Siano, Pierluigi, editor, Makhilef, Saad, editor, Ghosh, Ankush, editor, and Shimi, S. L., editor

Published
2024
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5. Ergonomics-Based Postural Assessment of Rural Water Fetcher

Author

Patil, Sonali, More, Sanjay, Sangale, K. K., Birajdar, Rakesh, Bhaijan, Muntasim, Pawar, Prashant M., editor, Ronge, Babruvahan P., editor, Gidde, Ranjitsinha R., editor, Pawar, Meenakshi M., editor, Misal, Nitin D., editor, Budhewar, Anupama S., editor, More, Vrunal V., editor, and Reddy, P. Venkata, editor

Published
2024
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7. Low Cost Housing Structure Using Bamboo as Reinforcement

Author

Ingawale, Aishwarya S., Pawar, Prashant M., Patil, Sonali P., Jadhav, Ravikiran P., Pawar, Prashant M., editor, Ronge, Babruvahan P., editor, Gidde, Ranjitsinha R., editor, Pawar, Meenakshi M., editor, Misal, Nitin D., editor, Budhewar, Anupama S., editor, More, Vrunal V., editor, and Reddy, P. Venkata, editor

Published
2024
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12. Smart Computer Commands Using Gesture Recognition

Author

Patil, Sonali, Mukhedker, Chinmay Shyam, Chaudhari, Mukul Sanjay, Pannu, Jaspreetsingh Kulwindarsingh, Prasannan, Varun, Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Yadav, Anupam, editor, Nanda, Satyasai Jagannath, editor, and Lim, Meng-Hiot, editor

Published
2023
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13. Intelligent Information System for Detection of COVID-19 Based on AI

Author

Raut, Roshani, Jadhav, Anuja, Jaiswal, Swati, Kathole, Atul, Patil, Sonali, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Gunjan, Vinit Kumar, editor, and Zurada, Jacek M., editor

Published
2023
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14. Gesture Recognition and Conversion to Speech for Specially Abled

Author

Chaudhari, Mukul, Mukhedker, Chinmay, Pannu, Jaspreet Singh, Prasannan, Varun, Patil, Sonali, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Gunjan, Vinit Kumar, editor, and Zurada, Jacek M., editor

Published
2023
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15. Application of 1-D Convolutional Neural Network for Cutting Tool Condition Monitoring: A Classification Approach

Author

Patil, Sonali S., Pardeshi, S. S., Pradhan, Nikhil, Patange, Abhishek D., Shah, Jay, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Doriya, Rajesh, editor, Soni, Badal, editor, Shukla, Anupam, editor, and Gao, Xiao-Zhi, editor

Published
2023
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16. Analysis and Evaluation of Pre-processing Techniques for Fault Detection in Thermal Images of Solar Panels

Author

Pathak, Sujata P., Patil, Sonali A., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Shetty, N. R., editor, Patnaik, L. M., editor, and Prasad, N. H., editor

Published
2023
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27. A Survey: Handwriting Analysis Software Using Image Preprocessing and Machine Learning

Author

Pise, Rohini, Phadkar, Noopur, Pulgam, Vaibhavee, Singh, Sahil, Patil, Sonali D., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Kumar, Amit, editor, and Mozar, Stefan, editor

Published
2022
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28. Accelerating Polynomial-Based Image Secret Sharing Using Hadoop

Author

Patil, Sonali, Raut, Roshani, Sorte, Chaitrali, Jha, Gauri, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Marriwala, N., editor, Tripathi, C. C., editor, Jain, Shruti, editor, and Mathapathi, Shivakumar, editor

Published
2022
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29. Geospatial Object Detection for Scene Understanding Using Remote Sensing Images

Author

Ahuja, Stuti Naresh, Patil, Sonali Atulkumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Chen, Joy Iong-Zong, editor, Tavares, João Manuel R. S., editor, Iliyasu, Abdullah M., editor, and Du, Ke-Lin, editor

Published
2022
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40. Enhancing Solar Panel Fault Detection: An Efficient Multidomain Feature Analysis Model with Entropy-Guided Saliency Map Segmentation.

Author

Pathak, Sujata P., Patil, Sonali A., and Mishra, Dhirendra

Subjects
SOLAR panels, MACHINE learning, ARTIFICIAL neural networks, SUPPORT vector machines, K-nearest neighbor classification
Abstract

Solar panels are an increasingly popular and sustainable means of generating electricity. However, the efficiency and longevity of solar panels may get compromised by various types of faults, including diode hotspots, dust/shadow hotspots, multicell hotspots, PID hotspots, and single cell hotspots. Detecting these faults accurately is vital for maintaining optimal efficiency. Many existing methods for fault identification fall short due to inadequate feature representation and segmentation techniques. To address these limitations, an innovative approach is proposed involving entropy-based saliency map segmentation and multidomain feature analysis model for fault detection and classification in solar panels. Proposed saliency map segmentation method extracts the most relevant regions in solar panel images, improving fault detection. The entropy-driven saliency maps fault detection technique surpasses alternative approaches such as color thresholding and channel-based thresholding for fault detection in solar panels. A comprehensive set of feature representation models, including Fourier, Wavelet, DCT, Convolutional, and Gabor transformations is employed. To further enhance the precision and effectiveness of fault identification, we incorporate an Extra Trees feature selection mechanism. Classification is done with an ensemble of classification models, including k-Nearest Neighbors (kNN), Deep Forest, Support Vector Machines (SVM), Logical Regression, and Artificial Neural Networks (ANN). Empirical evaluation of the proposed model demonstrates exceptional performance, achieving F1 score of 94% for fault classification compared to existing machine learning models. Proposed multidomain analysis model gave an accuracy of 96.9% and recall of 93.5% in fault identification. Additionally, the proposed model exhibits computational efficiency, making it suitable for real-time fault detection scenarios. [ABSTRACT FROM AUTHOR]

Published
2024
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47. IoT-Enabled Pest Identification and Classification with New Meta-Heuristic-Based Deep Learning Framework.

Author

Kathole, Atul B., Vhatkar, Kapil N., and Patil, Sonali D.

Abstract

The pest and insect affected crop is an important concern to cause damage to the agricultural sector. While identifying the pest in the crop, the camera placement is not supported in an inconsistent manner to capture the pest images. Hence, certain Internet of Things (IoT) devices are used to catch the pest images with its corresponding agriculture based sensor, yet it also faces some limitations to provide the accurate results. In order to alleviate the problem, an IoT-assisted pest identification and classification method is proposed. Initially, the IoT sensors are used to collect the required images. Subsequently, the input images are used to perform the object detection phase that is accomplished by the Yolov3, where the pest is detected significantly. Further, the detected images are fed into the model of "Convolutional Neural Network (CNN)," in which the deep features are fetched and finally given as input to the classifier model of "Convolution Neural Long Short-Term Memory (CNLSTM)," in turn some hyper parameters are optimally tuned by "Adaptive Honey Badger Algorithm (AHBA)." Hence, the experimental results prove that the recommended method achieves the better performance in terms of diverse metrics. [ABSTRACT FROM AUTHOR]

Published
2024
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48. Image Captioning Using ResNet RS and Attention Mechanism

Author

Raut, Roshani, Patil, Sonali, Borkar, Pradnya, and Zore, Prasad

Subjects
LSTM (Long Short Term Memory), Gradient descent, CNN (Convolutional Neural Network), Attention Mechanism, RNN (Recurrent Neural Networks), Deep learning, NLTK (Natural Language Toolkit), ResNet
Abstract

An enormous difficulty in the field of natural language processing is the creation of automatic image captions. The majority of researchers have used convolutional neural networks as encoders and recurrent neural networks as decoders. However, a model must be able to identify the semantic relationships between the many items visible in an image in order to correctly predict image captions. Encoder and decoder states of the attention mechanism are linearly integrated to emphasize both types of data by combining visual information from the image and semantic information from the caption. When attempting to predict captions for a particular image, we made use of a convolutional neural network that had been previously trained called ResNetRS101 in conjunction with the Bahdanau attention mechanism. To evaluate the manner in which the ResNetRS101 Model and the Bahdanau mechanism of attention perform on the same dataset in comparison to the conventional CNN-LSTM technique, this is our primary objective.

Published
2023

49. An Analytical Approach on Various Deep Learning Models for Image Classification

Author

Raut, Roshani, Patil, Sonali, Naik, Rudraksh, Borkar, Pradnya, and Lal, Dhirajkumar

Subjects
VGGNet, Image Classification, CIFAR-10, CNN, AlexNet, ResNet
Abstract

Image classification is a fundamental computer vision task that is essential to many applications, including autonomous driving, object detection, and medical diagnostics. This paper presents a comprehensive study on image classification techniques, focusing on deep learning models. We review and analyze prominent architectures, including AlexNet, VGGNet, ResNet, and evaluate their performance on benchmark datasets such as CIFAR-10. Experimental results demonstrate the effectiveness of these models in achieving high accuracy and robustness in image classification tasks. Furthermore, we delve into the training process, hyperparameter tuning, and regularization techniques to optimize the performance of these models.

Published
2023

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