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2020 – today
- 2024
[j41]Shreyas Gawde
, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Sultan Alfarhood:
Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE. IEEE Access 12: 29345-29361 (2024)- [j40]Nishita Agrawal, Isha Pendharkar, Jugal Shroff, Jatin Raghuvanshi, Akashdip Neogi, Shruti Patil, Rahee Walambe, Ketan Kotecha:
A-XAI: adversarial machine learning for trustable explainability. AI Ethics 4(4): 1143-1174 (2024) - [j39]Rucha Shinde, Shruti Patil, Ketan Kotecha, Vidyasagar M. Potdar, Ganeshsree Selvachandran, Ajith Abraham:
Securing AI-based healthcare systems using blockchain technology: A state-of-the-art systematic literature review and future research directions. Trans. Emerg. Telecommun. Technol. 35(1) (2024) - [j38]Bharti Khemani, Shruti Patil, Ketan Kotecha, Sudeep Tanwar:
A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions. J. Big Data 11(1): 18 (2024) - [j37]Supriya V. Mahadevkar, Shruti Patil, Ketan Kotecha, Lim Way Soong, Tanupriya Choudhury:
Exploring AI-driven approaches for unstructured document analysis and future horizons. J. Big Data 11(1): 92 (2024) - [j36]Daryl Jacob Jerrish, Om Nankar, Shilpa Gite, Shruti Patil, Ketan Kotecha, Ganeshsree Selvachandran, Ajith Abraham:
Deep learning approaches for lyme disease detection: leveraging progressive resizing and self-supervised learning models. Multim. Tools Appl. 83(7): 21281-21318 (2024) - [j35]Arihant Surana, Manish Rathod, Shilpa Gite, Shruti Patil, Ketan Kotecha, Ganeshsree Selvachandran, Shio Gai Quek, Ajith Abraham:
An audio-based anger detection algorithm using a hybrid artificial neural network and fuzzy logic model. Multim. Tools Appl. 83(13): 38909-38929 (2024) - [j34]Supriya V. Mahadevkar, Shruti Patil, Ketan Kotecha, Ajith Abraham:
A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents. PeerJ Comput. Sci. 10: e1769 (2024) - [j33]Khushi Gupta, Shrey Aggarwal, Avinash Jha, Aamir Habib, Jayant Jagtap, Shrikrishna Kolhar, Shruti Patil, Ketan Kotecha, Tanupriya Choudhury:
Deep Learning Framework for Liver Tumor Segmentation. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - [j32]Aniket Jhariya, Dhvani Parekh, Joshua Lobo, Arunkumar M. Bongale, Ruchi Jayaswal, Prachi Kadam, Shruti Patil, Tanupriya Choudhury:
Distance Analysis and Dimensionality Reduction using PCA on Brain Tumour MRI Scans. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - [j31]Bunny Saini, Divya Venkatesh, Avinaash Ganesh, Amar Parameswaran, Shruti Patil, Pooja Kamat, Tanupriya Choudhury:
Colorizing Multi-Modal Medical Data: An Autoencoder-based Approach for Enhanced Anatomical Information in X-ray Images. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - [j30]Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan V. Kotecha:
Understanding the Performance of AI Algorithms in Text-Based Emotion Detection for Conversational Agents. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(8): 121:1-121:26 (2024) - 2023
- [j29]Zubair Ashraf, Mohammad Shahid, Faisal Ahamd, Mohammad Sajid, Ketan Kotecha, Shruti Patil:
A Generalized Multiobjective Reliability Redundancy Allocation With Uncertainties. IEEE Access 11: 21575-21599 (2023) - [j28]Himali Ghorpade, Jayant Jagtap, Shruti Patil, Ketan Kotecha, Ajith Abraham, Natally Horvat, Jayasree Chakraborty:
Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research. IEEE Access 11: 108727-108745 (2023) - [j27]Shreyas Gawde, Shruti Patil, Satish Kumar, Ketan Kotecha:
A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion. Artif. Intell. Rev. 56(5): 4711-4764 (2023) - [j26]Rajesh Siraskar, Satish Kumar, Shruti Patil, Arunkumar M. Bongale, Ketan Kotecha:
Reinforcement learning for predictive maintenance: a systematic technical review. Artif. Intell. Rev. 56(11): 12885-12947 (2023) - [j25]Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan Kotecha, Deepali Rahul Vora, Ilias O. Pappas:
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection. Artif. Intell. Rev. 56(12): 15129-15215 (2023) - [j24]Shilpa Gite, Shruti Patil, Deepak S. Dharrao, Madhuri Yadav, Sneha Basak, Arundarasi Rajendran, Ketan Kotecha:
Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification. Big Data Cogn. Comput. 7(1): 45 (2023) - [j23]Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham:
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research. Eng. Appl. Artif. Intell. 123(Part A): 106139 (2023) - [j22]Preksha Pareek, Ruchi Jayaswal, Shruti Patil, Kishan Vyas:
A Bone Fracture Detection using AI-Based Techniques. Scalable Comput. Pract. Exp. 24(2): 161-171 (2023) - 2022
- [j21]Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan Kotecha, Sashikala Mishra, Ajith Abraham:
AI-Based Conversational Agents: A Scoping Review From Technologies to Future Directions. IEEE Access 10: 92337-92356 (2022) - [j20]Supriya V. Mahadevkar, Bharti Khemani, Shruti Patil, Ketan Kotecha, Deepali Rahul Vora, Ajith Abraham, Lubna Abdel Kareim Gabralla:
A Review on Machine Learning Styles in Computer Vision - Techniques and Future Directions. IEEE Access 10: 107293-107329 (2022) - [j19]Payal Kadam, Deepali Rahul Vora, Sashikala Mishra, Shruti Patil, Ketan Kotecha, Ajith Abraham, Lubna Abdel Kareim Gabralla:
Recent Challenges and Opportunities in Video Summarization With Machine Learning Algorithms. IEEE Access 10: 122762-122785 (2022) - [j18]Ranjeet Vasant Bidwe, Sashikala Mishra, Shruti Patil, Kailash Shaw, Deepali Rahul Vora, Ketan Kotecha, Bhushan Zope:
Deep Learning Approaches for Video Compression: A Bibliometric Analysis. Big Data Cogn. Comput. 6(2): 44 (2022) - [j17]Shyamala Subramanian, Sashikala Mishra, Shruti Patil, Kailash Shaw, Ebrahim Aghajari:
Machine Learning Styles for Diabetic Retinopathy Detection: A Review and Bibliometric Analysis. Big Data Cogn. Comput. 6(4): 154 (2022) - [j16]Farman Ali, Harish Kumar, Shruti Patil, Ashfaq Ahmad, Amal Babour, Ali Daud:
Deep-GHBP: Improving prediction of Growth Hormone-binding proteins using deep learning model. Biomed. Signal Process. Control. 78: 103856 (2022) - [j15]Farman Ali, Harish Kumar, Shruti Patil, Ketan Kotecha, Ameen Banjar, Ali Daud:
Target-DBPPred: An intelligent model for prediction of DNA-binding proteins using discrete wavelet transform based compression and light eXtreme gradient boosting. Comput. Biol. Medicine 145: 105533 (2022) - [j14]Shruti Patil, Varadarajan Vijayakumar, Supriya V. Mahadevkar, Rohan Athawade, Lakhan Maheshwari, Shrushti Kumbhare, Yash Garg, Deepak S. Dharrao, Pooja Kamat, Ketan Kotecha:
Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation. J. Sens. Actuator Networks 11(4): 63 (2022) - [j13]Satish Kumar, Tushar Kolekar, Shruti Patil, Arunkumar M. Bongale, Ketan Kotecha, Atef Zaguia, Chander Prakash:
A Low-Cost Multi-Sensor Data Acquisition System for Fault Detection in Fused Deposition Modelling. Sensors 22(2): 517 (2022) - [j12]Manish Rathod, Chirag Dalvi, Kulveen Kaur, Shruti Patil, Shilpa Gite, Pooja Kamat, Ketan Kotecha, Ajith Abraham, Lubna Abdel Kareim Gabralla:
Kids' Emotion Recognition Using Various Deep-Learning Models with Explainable AI. Sensors 22(20): 8066 (2022) - [i4]Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan Kotecha, Deepali Rahul Vora, Ilias O. Pappas:
A Review on Text-Based Emotion Detection - Techniques, Applications, Datasets, and Future Directions. CoRR abs/2205.03235 (2022) - [i3]Rucha Shinde, Shruti Patil, Ketan Kotecha, Vidyasagar M. Potdar, Ganeshsree Selvachandran, Ajith Abraham:
Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions. CoRR abs/2206.04793 (2022) - [i2]Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham:
Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research. CoRR abs/2206.14153 (2022) - 2021
- [j11]Sameer Sayyad, Satish Kumar, Arunkumar M. Bongale, Pooja Kamat, Shruti Patil, Ketan Kotecha:
Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions. IEEE Access 9: 110255-110286 (2021) - [j10]Vidisha Wagle, Kulveen Kaur, Pooja Kamat, Shruti Patil, Ketan Kotecha:
Explainable AI for Multimodal Credibility Analysis: Case Study of Online Beauty Health (Mis)-Information. IEEE Access 9: 127985-128022 (2021) - [j9]Tripti Singh, Mohan Mohadikar, Shilpa Gite, Shruti Patil, Biswajeet Pradhan, Abdullah M. Alamri:
Attention Span Prediction Using Head-Pose Estimation With Deep Neural Networks. IEEE Access 9: 142632-142643 (2021) - [j8]Varun Jain, Om Nankar, Daryl Jacob Jerrish, Shilpa Gite, Shruti Patil, Ketan Kotecha:
A Novel AI-Based System for Detection and Severity Prediction of Dementia Using MRI. IEEE Access 9: 154324-154346 (2021) - [j7]Chirag Dalvi, Manish Rathod, Shruti Patil, Shilpa Gite, Ketan Kotecha:
A Survey of AI-Based Facial Emotion Recognition: Features, ML & DL Techniques, Age-Wise Datasets and Future Directions. IEEE Access 9: 165806-165840 (2021) - [j6]Shruti Patil, Varadarajan Vijayakumar, Devika Walimbe, Siddharth Gulechha, Sushant Shenoy, Aditya Raina, Ketan Kotecha:
Improving the Robustness of AI-Based Malware Detection Using Adversarial Machine Learning. Algorithms 14(10): 297 (2021) - [j5]Sheetal Kusal, Shruti Patil, Ketan Kotecha, Rajanikanth Aluvalu, Varadarajan Vijayakumar:
AI Based Emotion Detection for Textual Big Data: Techniques and Contribution. Big Data Cogn. Comput. 5(3): 43 (2021) - [j4]Jyoti Choudrie, Shruti Patil, Ketan Kotecha, Nikhil Matta, Ilias O. Pappas:
Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study. Inf. Syst. Frontiers 23(6): 1431-1465 (2021) - [j3]Arpan Srivastava, Sonakshi Jain, Ryan Miranda, Shruti Patil, Sharnil Pandya, Ketan Kotecha:
Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease. PeerJ Comput. Sci. 7: e369 (2021)
2010 – 2019
- 2018
- [j2]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
Approximate Computing Using Multiple-Access Single-Charge Associative Memory. IEEE Trans. Emerg. Top. Comput. 6(3): 305-316 (2018) - 2016
- [c19]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
MASC: Ultra-low energy multiple-access single-charge TCAM for approximate computing. DATE 2016: 373-378 - [c18]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
DCC: Double Capacity Cache Architecture for Narrow-Width Values. ACM Great Lakes Symposium on VLSI 2016: 113-116 - [c17]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
Low power data-aware STT-RAM based hybrid cache architecture. ISQED 2016: 88-94 - 2015
- [j1]Ali JavadiAbhari, Shruti Patil, Daniel Kudrow, Jeff Heckey, Alexey Lvov, Frederic T. Chong, Margaret Martonosi:
ScaffCC: Scalable compilation and analysis of quantum programs. Parallel Comput. 45: 2-17 (2015) - [c16]Jeff Heckey, Shruti Patil, Ali JavadiAbhari, Adam Holmes, Daniel Kudrow, Kenneth R. Brown, Diana Franklin, Frederic T. Chong, Margaret Martonosi:
Compiler Management of Communication and Parallelism for Quantum Computation. ASPLOS 2015: 445-456 - [c15]Shruti Patil, Yu Chen, Tajana Simunic Rosing:
GazeTube: Gaze-Based Adaptive Video Playback for Bandwidth and Power Optimizations. GLOBECOM 2015: 1-6 - [c14]Yeseong Kim, Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
CAUSE: Critical Application Usage-Aware Memory System using Non-volatile Memory for Mobile Devices. ICCAD 2015: 690-696 - [c13]Shruti Patil, Yeseong Kim, Kunal Korgaonkar, Ibrahim Awwal, Tajana Simunic Rosing:
Characterization of User's Behavior Variations for Design of Replayable Mobile Workloads. MobiCASE 2015: 51-70 - [c12]Mohsen Imani, Shruti Patil, Tajana Simunic Rosing:
Hierarchical design of robust and low data dependent FinFET based SRAM array. NANOARCH 2015: 63-68 - [i1]Ali JavadiAbhari, Shruti Patil, Daniel Kudrow, Jeff Heckey, Alexey Lvov, Frederic T. Chong, Margaret Martonosi:
ScaffCC: Scalable Compilation and Analysis of Quantum Programs. CoRR abs/1507.01902 (2015) - 2014
- [c11]Ali JavadiAbhari, Shruti Patil, Daniel Kudrow, Jeff Heckey, Alexey Lvov, Frederic T. Chong, Margaret Martonosi:
ScaffCC: a framework for compilation and analysis of quantum computing programs. Conf. Computing Frontiers 2014: 1:1-1:10 - [c10]Shruti Patil, Ali JavadiAbhari, Chen-Fu Chiang, Jeff Heckey, Margaret Martonosi, Frederic T. Chong:
Characterizing the performance effect of trials and rotations in applications that use Quantum Phase Estimation. IISWC 2014: 181-190 - 2012
- [c9]Shruti Patil, Min-Woo Jang, Chia-Ling Chen, Dongjin Lee, Zhijang Ye, Walter E. Partlo, David J. Lilja, Stephen A. Campbell, Tianhong Cui:
Weighted area technique for electromechanically enabled logic computation with cantilever-based NEMS switches. DATE 2012: 727-732 - 2011
- [c8]Shruti Patil, David J. Lilja:
Performing bitwise logic operations in cache using spintronics-based magnetic tunnel junctions. Conf. Computing Frontiers 2011: 33 - [c7]B. K. Mishra, Sandhya Save, Shruti Patil:
Simulation based performance analysis of PLL at 450MHz. ICWET 2011: 917-921 - [c6]S. Rajesh Bansode, Sumita Rathi, Shruti Patil:
Study of turbo code and low density parity check code in transform domain distributed video coding. ICWET 2011: 1002-1005 - [c5]S. Rajesh Bansode, Shruti Patil, Sumita Rathi:
A cross-layer approach for wireless networked control system with better channel coding scheme. ICWET 2011: 1020-1023 - [c4]S. Rajesh Bansode, Sumita Rathi, Shruti Patil:
Comparison between conventional intraframe codec and Wyner Ziv Codec. ICWET 2011: 1370 - 2010
- [c3]Shruti Patil, Andrew Lyle, Jonathan D. Harms, David J. Lilja, Jianping Wang:
Spintronic logic gates for spintronic data using magnetic tunnel junctions. ICCD 2010: 125-131
2000 – 2009
- 2008
- [c2]Shruti Patil, Venkatesan Muthukumar:
Maximizing Resource Utilization by Slicing of Superscalar Architecture. DSD 2008: 923-930 - 2005
- [c1]Ashwini Raina, Shruti Patil, Venkatesan Muthukumar, Ajith Abraham:
HAUNT-24: 24-bit Hierarchical, Application-Confined Unique Naming Technique. ISDA 2005: 375-380
Coauthor Index
Ketan Kotecha
aka: Ketan V. Kotecha
aka: Ketan V. Kotecha
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last updated on 2024-12-02 22:28 CET by the dblp team
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