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Papers by Thirumurthi Raja

Emerald Publishing Limited eBooks, Sep 30, 2020

He has more than 350 research citations indices with Google scholar (h-index score 9 and i-10 ind... more He has more than 350 research citations indices with Google scholar (h-index score 9 and i-10 index 9). He has authored more than 70 research papers in reputed conferences and journals including Web of Science and Scopus. He has authored and edited more than 10 books with various reputed publishers including Springer, Apple Academic Press, Scrivener, Emerald, and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks.

EAI/Springer Innovations in Communication and Computing, 2023

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)

2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)

International Journal of Recent Technology and Engineering (IJRTE), 2019

Data Mining has many application areas. One such application area is in Salon Industry. This pape... more Data Mining has many application areas. One such application area is in Salon Industry. This paper presents the aims to harnessing the power of information to support marketing and management decisions, in Salon Industry. A group of salons data was collected, analyzed and its impact on business growth and decisions. This case study used a collage of the existing datamining techniques to aid the Salon industry to augment the business expansion, tactical decision making, and strategic marketing activity using the mined knowledge to understand customers, products and effective use of resources. This work gives an idea of the vast opportunity for growth in the beauty sector using data mining, to impact the managers and investors.

Handbook of Intelligent Healthcare Analytics, May 6, 2022

In recent era, deep learning often pose serious upgrades in feature learning that helps to unders... more In recent era, deep learning often pose serious upgrades in feature learning that helps to understand complex data patterns in precise manner. Hence, it would be essential in understanding the patterns of human skin to recognize the type of skin disease and its virulence. In this paper, we provide various machine learning and deep learning algorithm that helps in segmentation or classification of skin related disease. The machine learning and deep learning algorithm is found to be effective in maintaining the state information via its precise segmentation/classification. The study further provides the discussion on limitations associated with skin disease segmentation or classification. Further the study provides directions for future scope that possess real-time analysis.

International Journal of Engineering and Advanced Technology, 2019

The term big data refers to a group of large and vast amount of data collected from many research... more The term big data refers to a group of large and vast amount of data collected from many research organizations, hospitals and scientific organizations which can be available for the healthcare. Such big data have potential for improving in the research in healthcare. The big data helps to analyze the clinical datasets and provides the key insights for the patients care. Such data can be analyzed by several multidisciplinary methods. The big data and intelligence model also helps to provide support in taking recommend action and make the decision making model more strong. The Healthcare medical artificial intelligence system mainly uses a computer software to perform the health and clinical diagnoses and suggest the proper treatments. Predictive analysis is also the most important part of Big Data Analytics which use datasets and historical data to make the predictions about the disease. But such predictions results may vary for person to person. Every person have different immunity...

In power station electricity is generated by coupling the turbine with the generator. The turbine... more In power station electricity is generated by coupling the turbine with the generator. The turbine is rotated through steam/water in thermal power station /Hydraulic Power station. In atomic power station heat is generated through nuclear fusion and water is heated and steam is generated to run the turbine. It is essential to maintain constant speed N to maintain the frequency F. Increase/Decrease of frequency affect the domestic set up. This paper is to replace the sensor with a digital camera. This paper is focused on the measurement of speed of turbine-generator coupling at power station. Not only measuring the speed of turbineGenerator coupling is essential but also to control the speed of turbine – Generator coupling if it exceeds the rated speed of 1500 RPM. To maintain constant speed the DIP technique is suggested here.The coupling between the turbine and Generator is photographed for rated constant speed and stored inside the computer as standard image in terms of its texture...

Journal of Advanced Research in Dynamical and Control Systems, 2015

Emotion in mentally retarded people has been assumed to be no more than emotional disturbance and... more Emotion in mentally retarded people has been assumed to be no more than emotional disturbance and this has been equated with psychiatric disorder. Consideration of recent research and theory in emotion strongly suggests that there are two approaches which are particularly applicable to the study of mental retardation. In this paper, detection of emotions of mentally retarded peoples from their facial expressions, speech and body gestures. The model proposed in this approach is using a Bayesian classifier, using a multimodal corpus with four emotions. From the analysis the mentally challenged person’s expressions are entirely different from normal human’s expressions.Keywords---Affective body language, Affective speech, Emotion recognition, Multimodal fusion