Dr Shahana Bano's Outputs (9)

Vocal source builds divergence in gender recognition. (2021)
Presentation / Conference Contribution
THOLETI, G.S.R., GHANTA, D., CHILUKURI, N.V.S.G.S.S. and BANO, S. 2022. Vocal source builds divergence in gender recognition. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 2nd International conference on data science, machine learning and applications (ICDSMLA 2020), 21-22 November 2020, Pune, India. Lecture notes in electrical engineering, 783. Singapore: Springer [online], pages 171-183. Available from: https://doi.org/10.1007/978-981-16-3690-5_16

The purpose of this study was to investigate whether artificial intelligence could be used to determine a person's gender based on the sound of their voice. The research examined different machine learning and deep learning algorithms for gender clas... Read More about Vocal source builds divergence in gender recognition..

An analytical prediction of breast cancer using machine learning. (2021)
Presentation / Conference Contribution
CHILUKURI, N.V.S.G.S.S., BANO, S., THOLETI, G.S.R., KAMMA, S.P. and NIHARIKA, G.L. 2022. An analytical prediction of breast cancer using machine learning. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 2nd International conference on data science, machine learning and applications (ICDSMLA 2020), 21-22 November 2020, Pune, India. Lecture notes in electrical engineering, 783. Singapore: Springer [online], pages 185-202. Available from: https://doi.org/10.1007/978-981-16-3690-5_17

Breast cancer is one of the most frequent cancers among women, affecting about 2 million people. There is 98% chance of 5-years survival rate if detected at early stage. The data about breast cancer used in this paper is the Wisconsin dataset, which... Read More about An analytical prediction of breast cancer using machine learning..

Comparison of performances of regression model-based prediction of meteorological conditions. (2021)
Presentation / Conference Contribution
VEJENDLA, R.S., PAVULURI, B.L., VENIGANDLA, N., TINNAVALLI, D. and BANO, S. 2022. Comparison of performances of regression model-based prediction of meteorological conditions. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 2nd International conference on data science, machine learning and applications (ICDSMLA 2020), 21-22 November 2020, Pune, India. Lecture notes in electrical engineering, 783. Singapore: Springer [online], pages 155-169. Available from: https://doi.org/10.1007/978-981-16-3690-5_15

This paper clearly illustrates the working of different machine learning algorithms to determine the weather conditions. This involves the prediction of temperature by training with the pre-existing dataset of weather conditions on each day for aroun... Read More about Comparison of performances of regression model-based prediction of meteorological conditions..

Cost-effective and efficient detection of autism from screening test data using light gradient boosting machine. (2021)
Presentation / Conference Contribution
KAMMA, S.P., BANO, S., NIHARIKA, G.L., CHILUKURI, G.S. and GHANTA, D. 2022. Cost-effective and efficient detection of autism from screening test data using light gradient boosting machine. In Raj, J.S., Palanisamy, R., Perikos, I. and Shi, Y. (eds.) Proceedings of the 4th International conference on intelligent sustainable systems (ICISS 2021), 26-27 February 2021, Tirunelveli, India. Lecture notes in networks and systems, 213. Singapore: Springer [online], pages 777-789. Available from: https://doi.org/10.1007/978-981-16-2422-3_61

Autism spectrum disorder (ASD) is a developmental disorder that affects the brain. Autism constrains a person’s ability to interact and communicate with others. The cause of autism, in general, is unknown though genetics does play a role in the manif... Read More about Cost-effective and efficient detection of autism from screening test data using light gradient boosting machine..

Deep neural networks based error level analysis for lossless image compression based forgery detection. (2021)
Presentation / Conference Contribution
SRI, C.G., BANO, S., DEEPIKA, T., KOLA, N. and PRANATHI, Y.L. 2021. Deep neural networks based error level analysis for lossless image compression based forgery detection. In Proceedings of the 2021 International conference on intelligent technologies (CONIT 2021), 25-27 June 2021, Hubli, India. Piscataway: IEEE [online]. Available from: https://doi.org/10.1109/CONIT51480.2021.9498357

The proposed model is implemented in deep learning based on counterfeit feature extraction and Error Level Analysis (ELA) techniques. Error level analysis is used to improve the efficiency of distinguishing copy-move images produced by Deep Fake from... Read More about Deep neural networks based error level analysis for lossless image compression based forgery detection..

Detecting image similarity using SIFT. (2021)
Presentation / Conference Contribution
SRI, K.H., MANASA, G.T., REDDY, G.G., BANO, S. and TRINADH, V.B. 2022. Detecting image similarity using SIFT. In Jacob, I.J., Gonzalez-Longatt, F.M., Shanmugam, S.K. and Izonin, I. (eds.) Proceedings of the 2021 International conference on expert clouds and applications (ICOECA 2021), 18-19 February 2021, Bangalore, India. Lecture notes in networks and systems, 209. Singapore: Springer [online], pages 561-575. Available from: https://doi.org/10.1007/978-981-16-2126-0_45

Manually identifying similarity between any images is a difficult task. This study proposes an image similarity detection model. The scale-invariant feature transform (SIFT) algorithm is used to detect similarity between input images, and also to cal... Read More about Detecting image similarity using SIFT..

Prognostic of depression levels due to pandemic using LSTM. (2021)
Presentation / Conference Contribution
BANO, S., PRANTHI, Y.L., NIHARIKA, G.L. and SREYA, G.D.S. 2021. Prognostic of depression levels due to pandemic using LSTM. In Shakya, S., Balas, V.E., Haoxiang, W. and Baig, Z. (eds.) Proceedings of the 2020 International conference on sustainable expert systems (ICSES 2020), 28-29 September 2020, Kirtipur, Nepal. Lecture notes in networks and systems, 176. Singapore: Springer [online], pages 11-22. Available from: https://doi.org/10.1007/978-981-33-4355-9_2

Depression is a medical illness that affects the way you think and how you react. It is a serious medical issue that impacts the stability of the mind. Depression occurs at many stages and situations. With the help of classification, the stage of dep... Read More about Prognostic of depression levels due to pandemic using LSTM..

Convolutional network based animal recognition using YOLO and darknet. (2021)
Presentation / Conference Contribution
REDDY, B.K., BANO, S., REDDY, G.G., KOMMINENI, R. and REDDY, P.Y. 2021. Convolutional network based animal recognition using YOLO and darknet. In Proceedings of the 6th International conference on inventive computation technologies (ICICT 2021), 20-22 January 2021, Coimbatore, India. Piscataway: IEEE [online], pages 1198-1203. Available from: https://doi.org/10.1109/ICICT50816.2021.9358620

In general, the manual detection of animals with their names is a very tedious task. To overcome this challenge, this research work has developed a YOLOV3 model to identify the animal present in the image given by user. The algorithm used in YOLOV3 m... Read More about Convolutional network based animal recognition using YOLO and darknet..

Similarity score of two images using different measures. (2021)
Presentation / Conference Contribution
APPANA, V., GUTTIKONDA, T.M., SHREE, D., BANO, S. and KURRA, H. 2021. Similarity score of two images using different measures. In Proceedings of the 6th International conference on inventive computation technologies (ICICT 2021), 20-22 January 2021, Coimbatore, India. Piscataway: IEEE [online], pages 741-746. Available from: https://doi.org/10.1109/ICICT50816.2021.9358789

In the field of computer vision and image processing, image similarity has been a central concern for decades. If you compare two pictures, Image Similarity returns a value that tells you how physically they are close. A quantitative measure of the d... Read More about Similarity score of two images using different measures..