Search Results - "Narasimharao, Jonnadula"

Automated street light control and manhole monitoring with fault detection & reporting system for municipal department by Narasimharao, Jonnadula, Fallah, Mohammed H., Joshi, Ankita, Nagendrudu, P.V.V.S.D., Bindu, V. Hima

“…This paper presents a novel, integrated system for smart city infrastructure management, combining automated street light control with real-time underground…”
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Optimal Configuration Planning of Multi-Energy Systems using Optimization-based Deep Learning Technique by Dimlo, U. M. Fernandes, Umanesan, R., Narasimharao, Jonnadula, Senthamilarasi, N., Ranjit, P. S., Balaji, B., Thamarai, I., Dwivedi, Vijay Kumar

“…There has been discovered that the freestanding hybrid renewable resource, which combines energy sources like solar, wind, etc., is an efficient substitute for…”
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Biomimetic and Biological Sensing Technologies for the Assessment of Water Contaminants by Thaluka, Mohan Raj, K, Maheswari, Nuthanakanti, Bhaskar, K, Srujan Raju, Jonnadula, Narasimharao, Okali, Rakshita

“…Biological sensors, including biosensors and biomimetic sensors, have gained significant attention in recent years due to their exceptional capabilities in…”
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FloraNet: An Approach to Prediction of Sea Buckthorn Disease based on a Convolutional Neural Network and a Random Forest Method by Pushpakumari, J., Bhaskar, Nuthanakanti, Divya, G., Kanthi, Murali, Srujan Raju, K., Narasimharao, Jonnadula

“…In the current study, FloraNet was used to present an improved method for diagnosing leaf diseases in Sea Buckthorn. In the proposed model, Convolutional…”
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The Impactful Role of ML Algo in the Field of Enactment Nostrum: An Intensive/Deep Review by Narasimharao, Jonnadula, Hariharan, R, Sudha, E, Bisht, Deepa, Mohan, E., Almusawi, Muntather, Kumar, Neelam Sanjeev

“…Machine translation (MT) research has explored a variety of models, including statistical machine translation (SMT), rule-based machine translation (RBMT), and…”
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Expression of Concern for: Deep Learning Techniques for Speech Emotion Recognition by R, Bhavani, Muni, T Vijay, Tata, Ravi Kumar, Narasimharao, Jonnadula, Murali, K, Kaur, Harpreet

“…The identification of feelings sent via one's voice has evolved from a niche field into an essential part of humancomputer interaction (HCI). These systems…”
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Using machine learning principles, the classification method for face spoof detection in artificial neural networks by Saravanan, P., Pandey, Aparna, Joshi, Kapil, Rondon, Ruchika, Narasimharao, Jonnadula, Imran, Afsha Akkalkot

“…The usage of biometric technologies for person authentication and verification has grown significantly, and these systems are now widely employed. This…”
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Intelligent Resource Management in Computing using Genetic Algorithms by Ansari, Md Hussain, Nachiappan, Balusamy, S, Sampath Kumar, Reena B, Ardly Melba, Nagarajan, Shankar, Narasimharao, Jonnadula

“…The purpose of this exploration composition is to probe the use of inheritable algorithms(GAs) for intelligent resource operation in cloud computing settings…”
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Development of Advanced Noise Filtering Techniques for Medical Image Enhancement by Kushwaha, Sumit, Amuthachenthiru, K., K, Geetha, Narasimharao, Jonnadula, M, Dileep Kumar, Gadde, Sai Sudha

“…Medical imaging modalities, including computed tomography (CT), magnetic resonance imaging (MRI), X-rays, and ultrasound, are extensively employed in the…”
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Analysis on Rising the Life Span of Node in Wireless Sensor Networks Using Low Energy Adaptive Hierarchy Clustering Protocol by Narasimharao, Jonnadula, Reddy, A. Vamsidhar, Regulagadda, Ravi, Sruthi, P, Venkataiah, V, Suhasini, R

“…Various low-power and low-cost network sensors are employed in wireless sensor networks (WSNs) to detect changes in surroundings, gather data, analyze the…”
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Identification of Heart Diseases using Novel Machine Learning Method by Veeranjaneyulu, Rayavarapu, Boopathi, Sampath, Narasimharao, Jonnadula, Gupta, Keerat Kumar, Reddy, R. Vijaya Kumar, Ambika, R.

“…This study aims to enhance feature variety and organizationprocesses for heart disease prediction using three different approaches. The integration of machine…”
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Deep Learning Techniques for Speech Emotion Recognition by R, Bhavani, Muni, T Vijay, Tata, Ravi Kumar, Narasimharao, Jonnadula, Murali, K, Kaur, Harpreet

“…The identification of feelings sent via one's voice has evolved from a niche field into an essential part of humancomputer interaction (HCI). These systems…”
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