Reddy P.T., Priya W.D. (2026). Enhancing underwater image quality with the resnet method yields better color balance and fusion accuracy than with the region-based convolutional neural network algorithm. AIP Conference Proceedings, 3345(2026). https://doi.org/10.1063/5.0298432
"Enhancing underwater image quality with the resnet method yields better color balance and fusion accuracy than with the region-based convolutional neural network algorithm." AIP Conference Proceedings, vol. 3345, no. 2026, 2026, doi:10.1063/5.0298432.
Reddy P.T., Priya W.D., "Enhancing underwater image quality with the resnet method yields better color balance and fusion accuracy than with the region-based convolutional neural network algorithm," AIP Conference Proceedings, vol. 3345, no. 2026, 2026, doi: 10.1063/5.0298432.
Reddy P.T., Priya W.D.. Enhancing underwater image quality with the resnet method yields better color balance and fusion accuracy than with the region-based convolutional neural network algorithm. AIP Conference Proceedings. 2026;3345(2026). doi:10.1063/5.0298432.
Bhowmik S., Gayathri A., Priya W.D. (2026). Field plant disease detection system using images and classification using CNN algorithm comparing with SVM algorithm for enhancing the accuracy. AIP Conference Proceedings, 3345(2026). https://doi.org/10.1063/5.0298259
"Field plant disease detection system using images and classification using CNN algorithm comparing with SVM algorithm for enhancing the accuracy." AIP Conference Proceedings, vol. 3345, no. 2026, 2026, doi:10.1063/5.0298259.
Bhowmik S., Gayathri A., Priya W.D., "Field plant disease detection system using images and classification using CNN algorithm comparing with SVM algorithm for enhancing the accuracy," AIP Conference Proceedings, vol. 3345, no. 2026, 2026, doi: 10.1063/5.0298259.
Bhowmik S., Gayathri A., Priya W.D.. Field plant disease detection system using images and classification using CNN algorithm comparing with SVM algorithm for enhancing the accuracy. AIP Conference Proceedings. 2026;3345(2026). doi:10.1063/5.0298259.
Priya W.D., Srihari T. (2026). Enhancing traffic sign detection accuracy: A comparative study of morphological operations and MSER. AIP Conference Proceedings, 3345(2026). https://doi.org/10.1063/5.0298431
"Enhancing traffic sign detection accuracy: A comparative study of morphological operations and MSER." AIP Conference Proceedings, vol. 3345, no. 2026, 2026, doi:10.1063/5.0298431.
Priya W.D., Srihari T., "Enhancing traffic sign detection accuracy: A comparative study of morphological operations and MSER," AIP Conference Proceedings, vol. 3345, no. 2026, 2026, doi: 10.1063/5.0298431.
Priya W.D., Srihari T.. Enhancing traffic sign detection accuracy: A comparative study of morphological operations and MSER. AIP Conference Proceedings. 2026;3345(2026). doi:10.1063/5.0298431.
Krishna N.U., Priya W.D. (2025). An efficient system of emotion detection to improve the accuracy of multitudinous audio data using random forest algorithm in comparison with K-Nearest Neighbors. AIP Conference Proceedings, 3267(2025). https://doi.org/10.1063/5.0265521
"An efficient system of emotion detection to improve the accuracy of multitudinous audio data using random forest algorithm in comparison with K-Nearest Neighbors." AIP Conference Proceedings, vol. 3267, no. 2025, 2025, doi:10.1063/5.0265521.
Krishna N.U., Priya W.D., "An efficient system of emotion detection to improve the accuracy of multitudinous audio data using random forest algorithm in comparison with K-Nearest Neighbors," AIP Conference Proceedings, vol. 3267, no. 2025, 2025, doi: 10.1063/5.0265521.
Krishna N.U., Priya W.D.. An efficient system of emotion detection to improve the accuracy of multitudinous audio data using random forest algorithm in comparison with K-Nearest Neighbors. AIP Conference Proceedings. 2025;3267(2025). doi:10.1063/5.0265521.
Garg S., Sharma S., Dhariwal S., Priya W.D., Singh M., Ramesh S.
Multimedia Tools and Applications · Vol. 84 (2025) · pp. 4139-4161
DOI: 10.1007/s11042-024-18630-0
Garg S., Sharma S., Dhariwal S., Priya W.D., Singh M., Ramesh S. (2025). Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures. Multimedia Tools and Applications, 84(2025), 4139-4161. https://doi.org/10.1007/s11042-024-18630-0
"Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures." Multimedia Tools and Applications, vol. 84, no. 2025, 2025, pp. 4139-4161, doi:10.1007/s11042-024-18630-0.
Garg S., Sharma S., Dhariwal S., Priya W.D., Singh M., Ramesh S., "Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures," Multimedia Tools and Applications, vol. 84, no. 2025, pp. 4139-4161, 2025, doi: 10.1007/s11042-024-18630-0.
Garg S., Sharma S., Dhariwal S., Priya W.D., Singh M., Ramesh S.. Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures. Multimedia Tools and Applications. 2025;84(2025):4139-4161. doi:10.1007/s11042-024-18630-0.
Applications of Mathematics in Science and Technology (ICMAST 2025) (2025) · pp. 557-561
DOI: 10.1201/9781003606659-106
Shriyaa P.V., Priya W.D. (2025). Recognition of masked face using Visual Geometry Group (VGG-16) algorithm in comparison with Long Short Term Memory (LSTM) algorithm for better detection. Applications of Mathematics in Science and Technology (ICMAST 2025)(2025), 557-561. https://doi.org/10.1201/9781003606659-106
"Recognition of masked face using Visual Geometry Group (VGG-16) algorithm in comparison with Long Short Term Memory (LSTM) algorithm for better detection." Applications of Mathematics in Science and Technology (ICMAST 2025), no. 2025, 2025, pp. 557-561, doi:10.1201/9781003606659-106.
Shriyaa P.V., Priya W.D., "Recognition of masked face using Visual Geometry Group (VGG-16) algorithm in comparison with Long Short Term Memory (LSTM) algorithm for better detection," Applications of Mathematics in Science and Technology (ICMAST 2025), no. 2025, pp. 557-561, 2025, doi: 10.1201/9781003606659-106.
Shriyaa P.V., Priya W.D.. Recognition of masked face using Visual Geometry Group (VGG-16) algorithm in comparison with Long Short Term Memory (LSTM) algorithm for better detection. Applications of Mathematics in Science and Technology (ICMAST 2025). 2025(2025):557-561. doi:10.1201/9781003606659-106.
Charan N.S.S., Priya W.D. (2025). Classification of Music by Genre Based on Multitudinous Audio Data to Improve Classifier Accuracy Using Novel Convolutional Neural Networks Over Support Vector Machine. AIP Conference Proceedings, 3270(2025). https://doi.org/10.1063/5.0263102
"Classification of Music by Genre Based on Multitudinous Audio Data to Improve Classifier Accuracy Using Novel Convolutional Neural Networks Over Support Vector Machine." AIP Conference Proceedings, vol. 3270, no. 2025, 2025, doi:10.1063/5.0263102.
Charan N.S.S., Priya W.D., "Classification of Music by Genre Based on Multitudinous Audio Data to Improve Classifier Accuracy Using Novel Convolutional Neural Networks Over Support Vector Machine," AIP Conference Proceedings, vol. 3270, no. 2025, 2025, doi: 10.1063/5.0263102.
Charan N.S.S., Priya W.D.. Classification of Music by Genre Based on Multitudinous Audio Data to Improve Classifier Accuracy Using Novel Convolutional Neural Networks Over Support Vector Machine. AIP Conference Proceedings. 2025;3270(2025). doi:10.1063/5.0263102.
Govindharaj I., Deva Priya W., Soujanya K.L.S., Senthilkumar K.P., Shantha Shalini K., Ravichandran S.
International Ophthalmology · Vol. 45 (2025)
DOI: 10.1007/s10792-025-03602-6
Govindharaj I., Deva Priya W., Soujanya K.L.S., Senthilkumar K.P., Shantha Shalini K., Ravichandran S. (2025). Advanced glaucoma disease segmentation and classification with grey wolf optimized U −Net++ and capsule networks. International Ophthalmology, 45(2025). https://doi.org/10.1007/s10792-025-03602-6
"Advanced glaucoma disease segmentation and classification with grey wolf optimized U −Net++ and capsule networks." International Ophthalmology, vol. 45, no. 2025, 2025, doi:10.1007/s10792-025-03602-6.
Govindharaj I., Deva Priya W., Soujanya K.L.S., Senthilkumar K.P., Shantha Shalini K., Ravichandran S., "Advanced glaucoma disease segmentation and classification with grey wolf optimized U −Net++ and capsule networks," International Ophthalmology, vol. 45, no. 2025, 2025, doi: 10.1007/s10792-025-03602-6.
Govindharaj I., Deva Priya W., Soujanya K.L.S., Senthilkumar K.P., Shantha Shalini K., Ravichandran S.. Advanced glaucoma disease segmentation and classification with grey wolf optimized U −Net++ and capsule networks. International Ophthalmology. 2025;45(2025). doi:10.1007/s10792-025-03602-6.
Peer-to-Peer Networking and Applications · Vol. 18 (2025)
DOI: 10.1007/s12083-025-01959-0
G D., Priya W.D., Shirley C.P., Vignesh T. (2025). Automatic modulation classification scheme for next-generation cellular networks using optimized adaptive multi-scale dual attention network. Peer-to-Peer Networking and Applications, 18(2025). https://doi.org/10.1007/s12083-025-01959-0
"Automatic modulation classification scheme for next-generation cellular networks using optimized adaptive multi-scale dual attention network." Peer-to-Peer Networking and Applications, vol. 18, no. 2025, 2025, doi:10.1007/s12083-025-01959-0.
G D., Priya W.D., Shirley C.P., Vignesh T., "Automatic modulation classification scheme for next-generation cellular networks using optimized adaptive multi-scale dual attention network," Peer-to-Peer Networking and Applications, vol. 18, no. 2025, 2025, doi: 10.1007/s12083-025-01959-0.
G D., Priya W.D., Shirley C.P., Vignesh T.. Automatic modulation classification scheme for next-generation cellular networks using optimized adaptive multi-scale dual attention network. Peer-to-Peer Networking and Applications. 2025;18(2025). doi:10.1007/s12083-025-01959-0.
Priyanka R., Priya W.D., Ramasenderan N. (2024). Enhanced speed bump detection system for driver assistance system (DAS) using Otsu's threshold over adaptive Gaussian threshold for higher accuracy. AIP Conference Proceedings, 3161(2024). https://doi.org/10.1063/5.0229211
"Enhanced speed bump detection system for driver assistance system (DAS) using Otsu's threshold over adaptive Gaussian threshold for higher accuracy." AIP Conference Proceedings, vol. 3161, no. 2024, 2024, doi:10.1063/5.0229211.
Priyanka R., Priya W.D., Ramasenderan N., "Enhanced speed bump detection system for driver assistance system (DAS) using Otsu's threshold over adaptive Gaussian threshold for higher accuracy," AIP Conference Proceedings, vol. 3161, no. 2024, 2024, doi: 10.1063/5.0229211.
Priyanka R., Priya W.D., Ramasenderan N.. Enhanced speed bump detection system for driver assistance system (DAS) using Otsu's threshold over adaptive Gaussian threshold for higher accuracy. AIP Conference Proceedings. 2024;3161(2024). doi:10.1063/5.0229211.
Reddy N.B., Priya W.D. (2024). Improved accuracy in rice quality prediction using logistic regression in comparison with linear regression. AIP Conference Proceedings, 3193(2024). https://doi.org/10.1063/5.0233062
"Improved accuracy in rice quality prediction using logistic regression in comparison with linear regression." AIP Conference Proceedings, vol. 3193, no. 2024, 2024, doi:10.1063/5.0233062.
Reddy N.B., Priya W.D., "Improved accuracy in rice quality prediction using logistic regression in comparison with linear regression," AIP Conference Proceedings, vol. 3193, no. 2024, 2024, doi: 10.1063/5.0233062.
Reddy N.B., Priya W.D.. Improved accuracy in rice quality prediction using logistic regression in comparison with linear regression. AIP Conference Proceedings. 2024;3193(2024). doi:10.1063/5.0233062.
Kumaresh P.S., Sivanantham E., Shoba L.K., Priya W.D., Mohankumar N., Elango B.
Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024 (2024) · pp. 868-873
DOI: 10.1109/ICCSP60870.2024.10543226
Kumaresh P.S., Sivanantham E., Shoba L.K., Priya W.D., Mohankumar N., Elango B. (2024). Real-Time Hydraulic Fluid Leak Detection in Heavy Machinery Using Cloud-Integrated Wireless Sensor Networks for Proactive Maintenance. Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024(2024), 868-873. https://doi.org/10.1109/ICCSP60870.2024.10543226
"Real-Time Hydraulic Fluid Leak Detection in Heavy Machinery Using Cloud-Integrated Wireless Sensor Networks for Proactive Maintenance." Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, no. 2024, 2024, pp. 868-873, doi:10.1109/ICCSP60870.2024.10543226.
Kumaresh P.S., Sivanantham E., Shoba L.K., Priya W.D., Mohankumar N., Elango B., "Real-Time Hydraulic Fluid Leak Detection in Heavy Machinery Using Cloud-Integrated Wireless Sensor Networks for Proactive Maintenance," Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, no. 2024, pp. 868-873, 2024, doi: 10.1109/ICCSP60870.2024.10543226.
Kumaresh P.S., Sivanantham E., Shoba L.K., Priya W.D., Mohankumar N., Elango B.. Real-Time Hydraulic Fluid Leak Detection in Heavy Machinery Using Cloud-Integrated Wireless Sensor Networks for Proactive Maintenance. Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024. 2024(2024):868-873. doi:10.1109/ICCSP60870.2024.10543226.
Pioneering Approaches in Data Management (2024) · pp. 191-201
DOI: 10.4018/979-8-3693-5563-3.ch009
Bhanu Prakash Reddy N., Deva Priya W. (2024). An Efficient Rice Quality Prediction Using Convolutional Neural Network in Comparison With Support Vector Machine. Pioneering Approaches in Data Management(2024), 191-201. https://doi.org/10.4018/979-8-3693-5563-3.ch009
"An Efficient Rice Quality Prediction Using Convolutional Neural Network in Comparison With Support Vector Machine." Pioneering Approaches in Data Management, no. 2024, 2024, pp. 191-201, doi:10.4018/979-8-3693-5563-3.ch009.
Bhanu Prakash Reddy N., Deva Priya W., "An Efficient Rice Quality Prediction Using Convolutional Neural Network in Comparison With Support Vector Machine," Pioneering Approaches in Data Management, no. 2024, pp. 191-201, 2024, doi: 10.4018/979-8-3693-5563-3.ch009.
Bhanu Prakash Reddy N., Deva Priya W.. An Efficient Rice Quality Prediction Using Convolutional Neural Network in Comparison With Support Vector Machine. Pioneering Approaches in Data Management. 2024(2024):191-201. doi:10.4018/979-8-3693-5563-3.ch009.
Sivakumar P., Balasubramani M., Sowndharya R., Priya B.S.D., Priya W.D., Syamala M.
International Journal of System Assurance Engineering and Management (2024)
DOI: 10.1007/s13198-024-02445-1
Sivakumar P., Balasubramani M., Sowndharya R., Priya B.S.D., Priya W.D., Syamala M. (2024). Twitter spam drift detection by semi supervised learning approach using YATSI algorithm. International Journal of System Assurance Engineering and Management(2024). https://doi.org/10.1007/s13198-024-02445-1
"Twitter spam drift detection by semi supervised learning approach using YATSI algorithm." International Journal of System Assurance Engineering and Management, no. 2024, 2024, doi:10.1007/s13198-024-02445-1.
Sivakumar P., Balasubramani M., Sowndharya R., Priya B.S.D., Priya W.D., Syamala M., "Twitter spam drift detection by semi supervised learning approach using YATSI algorithm," International Journal of System Assurance Engineering and Management, no. 2024, 2024, doi: 10.1007/s13198-024-02445-1.
Sivakumar P., Balasubramani M., Sowndharya R., Priya B.S.D., Priya W.D., Syamala M.. Twitter spam drift detection by semi supervised learning approach using YATSI algorithm. International Journal of System Assurance Engineering and Management. 2024(2024). doi:10.1007/s13198-024-02445-1.
2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 (2024)
DOI: 10.1109/ICCCNT61001.2024.10725817
Shriya P.V., Priya W.D. (2024). An Efficient Innovative Masked Face Recognition Using FaceNet Algorithm over Visual Geometry Group (VGG-16) Algorithm for Better Efficiency. 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024(2024). https://doi.org/10.1109/ICCCNT61001.2024.10725817
"An Efficient Innovative Masked Face Recognition Using FaceNet Algorithm over Visual Geometry Group (VGG-16) Algorithm for Better Efficiency." 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024, no. 2024, 2024, doi:10.1109/ICCCNT61001.2024.10725817.
Shriya P.V., Priya W.D., "An Efficient Innovative Masked Face Recognition Using FaceNet Algorithm over Visual Geometry Group (VGG-16) Algorithm for Better Efficiency," 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024, no. 2024, 2024, doi: 10.1109/ICCCNT61001.2024.10725817.
Shriya P.V., Priya W.D.. An Efficient Innovative Masked Face Recognition Using FaceNet Algorithm over Visual Geometry Group (VGG-16) Algorithm for Better Efficiency. 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024. 2024(2024). doi:10.1109/ICCCNT61001.2024.10725817.
Anand M., Jebarani Evangeline S., Deva Priya W., Chitra Selvi S.
Automatika · Vol. 65 (2024) · pp. 813-829
DOI: 10.1080/00051144.2024.2330281
Anand M., Jebarani Evangeline S., Deva Priya W., Chitra Selvi S. (2024). Design, FEM analysis and development of switched reluctance motor electric drive for TRI-wheeler E-vehicle application. Automatika, 65(2024), 813-829. https://doi.org/10.1080/00051144.2024.2330281
"Design, FEM analysis and development of switched reluctance motor electric drive for TRI-wheeler E-vehicle application." Automatika, vol. 65, no. 2024, 2024, pp. 813-829, doi:10.1080/00051144.2024.2330281.
Anand M., Jebarani Evangeline S., Deva Priya W., Chitra Selvi S., "Design, FEM analysis and development of switched reluctance motor electric drive for TRI-wheeler E-vehicle application," Automatika, vol. 65, no. 2024, pp. 813-829, 2024, doi: 10.1080/00051144.2024.2330281.
Anand M., Jebarani Evangeline S., Deva Priya W., Chitra Selvi S.. Design, FEM analysis and development of switched reluctance motor electric drive for TRI-wheeler E-vehicle application. Automatika. 2024;65(2024):813-829. doi:10.1080/00051144.2024.2330281.
2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 (2024)
DOI: 10.1109/ICCCNT61001.2024.10725125
Reddy T.S.D., Priya W.D. (2024). An Exclusive System for Labeling the Dog Breed for improved Accuracy using Convolution Neural Network in comparison with Random Forest. 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024(2024). https://doi.org/10.1109/ICCCNT61001.2024.10725125
"An Exclusive System for Labeling the Dog Breed for improved Accuracy using Convolution Neural Network in comparison with Random Forest." 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024, no. 2024, 2024, doi:10.1109/ICCCNT61001.2024.10725125.
Reddy T.S.D., Priya W.D., "An Exclusive System for Labeling the Dog Breed for improved Accuracy using Convolution Neural Network in comparison with Random Forest," 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024, no. 2024, 2024, doi: 10.1109/ICCCNT61001.2024.10725125.
Reddy T.S.D., Priya W.D.. An Exclusive System for Labeling the Dog Breed for improved Accuracy using Convolution Neural Network in comparison with Random Forest. 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024. 2024(2024). doi:10.1109/ICCCNT61001.2024.10725125.
Proceedings of the 4th International Conference on Smart Electronics and Communication, ICOSEC 2023 (2023) · pp. 1201-1206
DOI: 10.1109/ICOSEC58147.2023.10276087
Priya W.D., Yuvaraj S., Sujatha V., Selvi R.T. (2023). Real-Time Vehicle Speed Monitoring and Alerting System to Prevent Road Accidents. Proceedings of the 4th International Conference on Smart Electronics and Communication, ICOSEC 2023(2023), 1201-1206. https://doi.org/10.1109/ICOSEC58147.2023.10276087
"Real-Time Vehicle Speed Monitoring and Alerting System to Prevent Road Accidents." Proceedings of the 4th International Conference on Smart Electronics and Communication, ICOSEC 2023, no. 2023, 2023, pp. 1201-1206, doi:10.1109/ICOSEC58147.2023.10276087.
Priya W.D., Yuvaraj S., Sujatha V., Selvi R.T., "Real-Time Vehicle Speed Monitoring and Alerting System to Prevent Road Accidents," Proceedings of the 4th International Conference on Smart Electronics and Communication, ICOSEC 2023, no. 2023, pp. 1201-1206, 2023, doi: 10.1109/ICOSEC58147.2023.10276087.
Priya W.D., Yuvaraj S., Sujatha V., Selvi R.T.. Real-Time Vehicle Speed Monitoring and Alerting System to Prevent Road Accidents. Proceedings of the 4th International Conference on Smart Electronics and Communication, ICOSEC 2023. 2023(2023):1201-1206. doi:10.1109/ICOSEC58147.2023.10276087.
Suryawanshi R., Chatrapathy K., Al-Khaykan A., Priya W.D., Reddy Ch.V.K., Prasad K.V.S.
Proceedings of the IEEE International Conference Image Information Processing (2023) · pp. 411-416
DOI: 10.1109/ICIIP61524.2023.10537739
Suryawanshi R., Chatrapathy K., Al-Khaykan A., Priya W.D., Reddy Ch.V.K., Prasad K.V.S. (2023). Decomposition of electrical and electronic waste management by using artificial intelligence. Proceedings of the IEEE International Conference Image Information Processing(2023), 411-416. https://doi.org/10.1109/ICIIP61524.2023.10537739
"Decomposition of electrical and electronic waste management by using artificial intelligence." Proceedings of the IEEE International Conference Image Information Processing, no. 2023, 2023, pp. 411-416, doi:10.1109/ICIIP61524.2023.10537739.
Suryawanshi R., Chatrapathy K., Al-Khaykan A., Priya W.D., Reddy Ch.V.K., Prasad K.V.S., "Decomposition of electrical and electronic waste management by using artificial intelligence," Proceedings of the IEEE International Conference Image Information Processing, no. 2023, pp. 411-416, 2023, doi: 10.1109/ICIIP61524.2023.10537739.
Suryawanshi R., Chatrapathy K., Al-Khaykan A., Priya W.D., Reddy Ch.V.K., Prasad K.V.S.. Decomposition of electrical and electronic waste management by using artificial intelligence. Proceedings of the IEEE International Conference Image Information Processing. 2023(2023):411-416. doi:10.1109/ICIIP61524.2023.10537739.
2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023 (2023)
DOI: 10.1109/ICCEBS58601.2023.10448547
Reddy A.I., Priya W.D. (2023). An Efficient Fetal Health Prediction System Using Enhanced XGB Classifier Compared Over K-Nearest Neighbor Classifier with Less Complexity and Improved Accuracy. 2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023(2023). https://doi.org/10.1109/ICCEBS58601.2023.10448547
"An Efficient Fetal Health Prediction System Using Enhanced XGB Classifier Compared Over K-Nearest Neighbor Classifier with Less Complexity and Improved Accuracy." 2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023, no. 2023, 2023, doi:10.1109/ICCEBS58601.2023.10448547.
Reddy A.I., Priya W.D., "An Efficient Fetal Health Prediction System Using Enhanced XGB Classifier Compared Over K-Nearest Neighbor Classifier with Less Complexity and Improved Accuracy," 2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023, no. 2023, 2023, doi: 10.1109/ICCEBS58601.2023.10448547.
Reddy A.I., Priya W.D.. An Efficient Fetal Health Prediction System Using Enhanced XGB Classifier Compared Over K-Nearest Neighbor Classifier with Less Complexity and Improved Accuracy. 2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023. 2023(2023). doi:10.1109/ICCEBS58601.2023.10448547.
2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) (2016)
DOI: 10.1109/ICCIC.2015.7435753
Devapriya W., Babu C.N.K., Srihari T. (2016). Advance Driver Assistance System (ADAS) - Speed bump detection. 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)(2016). https://doi.org/10.1109/ICCIC.2015.7435753
"Advance Driver Assistance System (ADAS) - Speed bump detection." 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), no. 2016, 2016, doi:10.1109/ICCIC.2015.7435753.
Devapriya W., Babu C.N.K., Srihari T., "Advance Driver Assistance System (ADAS) - Speed bump detection," 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), no. 2016, 2016, doi: 10.1109/ICCIC.2015.7435753.
Devapriya W., Babu C.N.K., Srihari T.. Advance Driver Assistance System (ADAS) - Speed bump detection. 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). 2016(2016). doi:10.1109/ICCIC.2015.7435753.
IEEE WCTFTR 2016 - Proceedings of 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare (2016)
DOI: 10.1109/STARTUP.2016.7583981
Devapriya W., Babu C.N.K., Srihari T. (2016). Real time speed bump detection using Gaussian filtering and connected component approach. IEEE WCTFTR 2016 - Proceedings of 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare(2016). https://doi.org/10.1109/STARTUP.2016.7583981
"Real time speed bump detection using Gaussian filtering and connected component approach." IEEE WCTFTR 2016 - Proceedings of 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare, no. 2016, 2016, doi:10.1109/STARTUP.2016.7583981.
Devapriya W., Babu C.N.K., Srihari T., "Real time speed bump detection using Gaussian filtering and connected component approach," IEEE WCTFTR 2016 - Proceedings of 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare, no. 2016, 2016, doi: 10.1109/STARTUP.2016.7583981.
Devapriya W., Babu C.N.K., Srihari T.. Real time speed bump detection using Gaussian filtering and connected component approach. IEEE WCTFTR 2016 - Proceedings of 2016 World Conference on Futuristic Trends in Research and Innovation for Social Welfare. 2016(2016). doi:10.1109/STARTUP.2016.7583981.