All Outputs (27)

Impact of healthy eating among residents in Aberdeen using exploratory data analysis. (2024)
Book Chapter
SALAMI, J.S. and BANO, S. 2024. Impact of healthy eating among residents in Aberdeen using exploratory data analysis. In Lee, R. (ed.) Computer and information science and engineering, volume 16. Studies in computational intelligence, 1156. Cham: Springer [online], pages 1-16. Available from: https://doi.org/10.1007/978-3-031-57037-7_1

This survey research uses Exploratory Data Analysis (EDA) to examine how the impact of healthy eating can affect Aberdeen residents and how excessive consumption of junks food can cause weight gain, raise the risk of obesity, heart disease, type 2 di... Read More about Impact of healthy eating among residents in Aberdeen using exploratory data analysis..

Fabric variation and visualization using light dependent factor. (2023)
Presentation / Conference Contribution
NIHARIKA, G.L., BANO, S., SAI, K.C., ROHITH, K. and GUTTA, D. 2023. Fabric variation and visualization using light dependent factor. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 3rd International conference on data science, machine learning and applications (ICDSMLA 2021), 26 December 2021, Mandya, India. Lecture notes in electrical engineering, 947. Singapore: Springer [online], pages 293-302. Available from: https://doi.org/10.1007/978-981-19-5936-3_27

Typically, fabrics are recognised by human touch or feel. However, this study proposes an Internet of Things application that allows for the detection of fabric variation through light-based sensors.

Implementing spot the differences game using Yolo algorithm. (2022)
Presentation / Conference Contribution
KONDAPANENI, C.S., TEJA, M.V.S., KAVURI, R., TINNAVALLI, D. and BANO, S. 2022. Implementing spot the differences game using YOLO algorithm. In Kumar, A., Ghinea, G., Merugu, S. and Hashimoto, T. (eds.) Proceedings of the 2021 International conference on cognitive and intelligent computing (ICCIC 2021), 11-12 December 2021, Hyderabad, India. Volume 1. Singapore: Springer [online], pages 707-719. Available from: https://doi.org/10.1007/978-981-19-2350-0_67

The requirement for object detection has been expanding with computational force. Object identification is a technique that identifies the semantic class of the objects in the image or video. In this work, we talk about implementing an application th... Read More about Implementing spot the differences game using Yolo algorithm..

Comprehending object detection by deep learning methods and algorithms. (2022)
Presentation / Conference Contribution
PRIYANKA, M., LAVANYA, K., SAI, K.C., ROHIT, K. and BANO, S. 2022. Comprehending object detection by deep learning methods and algorithms. In Shakya, S., Ntalianis, K. and Kamel, K.A. (eds.) Proceedings of the 3rd International conference on mobile computing and sustainable informatics (ICMCSI 2022), 27-28 January 2022, Kirtipur, Nepal. Lecture notes on data engineering and communications technologies, 126. Singapore: Springer [online], pages 523-537. Available from: https://doi.org/10.1007/978-981-19-2069-1_36

In the real world, computer vision is used for more challenging tasks like detecting of objects in an image or video. There are multiple applications of object detection in various domains like animation, autonomous driving, monitoring of traffic, co... Read More about Comprehending object detection by deep learning methods and algorithms..

Detection of image forgery for forensic analytics. (2022)
Presentation / Conference Contribution
SRI, C.G., BANO, S., TRINADH, V.B., VALLURI, V.V. and THUMATI, H. 2022. Detection of image forgery for forensic analytics. In Aurelia, S., Hiremath, S.S., Subramanian, K. and Biswas, S.K. (eds.) Select proceedings of the 2021 International conference on sustainable advanced computing (ICSAC 2021), 5-6 March 2021, Bangalore, India. Lecture notes in electrical engineering, 840. Singapore: Springer [online], pages 321-338. Available from: https://doi.org/10.1007/978-981-16-9012-9_26

Due to the technical revolution in digital image processing, different advanced image manipulation software has been used in recent years to produce new unrealistic images without leaving evidence of what is happening in the world, so it would be dif... Read More about Detection of image forgery for forensic analytics..

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..

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..

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..

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..

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..

Speech to text translation enabling multilingualism. (2020)
Presentation / Conference Contribution
BANO, S., JITHENDRA, P., NIHARIKA, G.L. and SIKHI, Y. 2020. Speech to text translation enabling multilingualism. In Proceedings of the 2020 International conference for innovation in technology (INOCON 2020), 6-8 November 2020, Bangluru, India. Piscataway: IEEE [online]. Available from: https://doi.org/10.1109/INOCON50539.2020.9298280

Speech acts as a barrier to communication between two individuals and helps them in expressing their feelings, thoughts, emotions, and ideologies among each other. The process of establishing a communicational interaction between the machine and mank... Read More about Speech to text translation enabling multilingualism..

Cognitive model for object detection based on speech-to-text conversion. (2020)
Presentation / Conference Contribution
PAVULURI, J., SAI, T.V., MANNAM, R.K., MANIDEEP, R. and BANO, S. 2020. Cognitive model for object detection based on speech-to-text conversion. In Proceedings of the 3rd International conference on intelligent sustainable systems (ICISS 2020), 3-5 December 2020, Thoothukudi, India. Piscataway: IEEE [online], pages 843-847. Available from: https://doi.org/10.1109/ICISS49785.2020.9315985

The goal of this paper is to develop a model which is the integrated version of both SpeechRecognition and Object detection. This model is developed after undergoing the literature survey and the existing models that are related to Object Detection a... Read More about Cognitive model for object detection based on speech-to-text conversion..

Stock price prognosticator using machine learning techniques. (2020)
Presentation / Conference Contribution
NISHITHA, S.N.T., BANO, S., REDDY, G.G., ARJA, P. and NIHARIKA, G.L. 2020. Stock price prognosticator using machine learning techniques. In Proceedings of the 4th International conference on electronics, communication and aerospace technology (ICECA 2020), 5-7 November 2020, Coimbatore, India. Piscataway: IEEE [online], pages 1636-1642. Available from: https://doi.org/10.1109/ICECA49313.2020.9297644

Stock market price prediction is one of the favourite research topics under consideration for professionals from various fields like mathematics, statistics, history, finance, computer science engineering etc., as it requires a set of skills to predi... Read More about Stock price prognosticator using machine learning techniques..

Character recognition using tesseract enabling multilingualism. (2020)
Presentation / Conference Contribution
NIHARIKA, G.L, BANO, S., KUMAR, P.S., DEEPIKA, T. and THUMATI, H. 2020. Character recognition using tesseract enabling multilingualism. In Proceedings of the 4th International conference on electronics, communication and aerospace technology (ICECA 2020), 5-7 November 2020, Coimbatore, India. Piscataway: IEEE [online], pages 1321-1327. Available from: https://doi.org/10.1109/ICECA49313.2020.9297609

Character recognition builds a recognizing factor for identifying the accuracy in characters. The accuracy of classifying the recognizing characters in an image is applied through deep learning methods. The character recognition is mainly focusing on... Read More about Character recognition using tesseract enabling multilingualism..

Forecasting meteorological analysis using machine learning algorithms. (2020)
Presentation / Conference Contribution
PAVULURI, B.L., VEJENDLA, R.S., JITHENDRA, P., DEEPIKA, T. and BANO, S. 2020. Forecasting meteorological analysis using machine learning algorithms. In Proceedings of the 2020 International conference on smart electronics and communication (ICOSEC 2020), 10-12 September 2020, Trichy, India. Piscataway: IEEE [online], pages 456-461. Available from: https://doi.org/10.1109/ICOSEC49089.2020.9215440

Weather prediction is gaining up ubiquity quickly in the current period of Machine learning and Technologies. It is fundamental to foresee the temperature of the climate for quite a while. Decision trees, K-NN, Random Forest algorithms are an integra... Read More about Forecasting meteorological analysis using machine learning algorithms..

Classification of binary fracture using CNN. (2019)
Presentation / Conference Contribution
CHITTAJALLU, S.M., MANDALANENI, N.L.D., PARASA, D. and BANO, S. 2019. Classification of binary fracture using CNN. In Proceedings of the 1st Global conference for advancement in technology (GCAT 2019), 18-20 October 2019, Bangalore, India. Piscataway: IEEE [online]. Available from: https://doi.org/10.1109/GCAT47503.2019.8978468

One of the major problems faced by any living organism since infancy are musculoskeletal injuries. To keep it quite simple musculoskeletal injuries are a range of disorders involving muscles, bones, tendons, blood vessels, nerves and other soft tissu... Read More about Classification of binary fracture using CNN..

Social media survey using decision tree and naive Bayes classification. (2019)
Presentation / Conference Contribution
ROSHINI, T., SIREESHA, P.V., PARASA, D. and BANO, S. 2019. Social media survey using decision tree and naive Bayes classification. In Proceedings of the 2nd International conference on intelligent communication and computational techniques (ICCT 2019), 28-29 September 2019, Jaipur, India. Piscataway: IEEE [online], pages 265-270. Available from: https://doi.org/10.1109/ICCT46177.2019.8969058

Social media - a website or an application that is used to create and share content among a social network - is one of the most important aspects of our day-to-day life. Recent studies claim that an average person spends roughly 142 minutes per day o... Read More about Social media survey using decision tree and naive Bayes classification..

Food survey using exploratory data analysis. (2019)
Presentation / Conference Contribution
RAMYASRI, R., ISHASANJIDA, S., PARASA, D. and BANO, S. 2019. Food survey using exploratory data analysis. In Proceedings of the 2nd International conference on intelligent communication and computational techniques (ICCT 2019), 28-29 September 2019, Jaipur, India. Piscataway: IEEE [online], pages 258-264. Available from: https://doi.org/10.1109/ICCT46177.2019.8969016

A person's eating habits are the most important aspect of maintaining one's physical wellbeing, which in turn is key to enduring the stresses and emotional hurdles that are so commonplace in our modern lifestyles. Our research shows that, over the pa... Read More about Food survey using exploratory data analysis..