Search Results - "Sindhu Madhuri, G"

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  1. 1

    Early predictive model for breast cancer classification using blended ensemble learning by Mahesh, T. R., Vinoth Kumar, V., Vivek, V., Karthick Raghunath, K. M., Sindhu Madhuri, G.

    “…Breast cancer is one of the most common cancers among women’s worldwide, and it is a fact that most of the cases are discovered late. Several researchers have…”
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    Journal Article
  2. 2

    Signature Based Identification using Locality-Sensitive Hashing for IoT Devices by Singh, Amit, G, Sindhu Madhuri

    “…On current days, the growing applications in Internet of Things (IoT) is increasing in various real-time sectors as smart city applications (air pollution,…”
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    Conference Proceeding
  3. 3

    The Smart Optimization of Security Systems in Wireless Personal Sensor Networks by Das, Sunanda, G, Sindhu Madhuri

    “…Wireless personal sensor networks (WPSNs) are an emerging technology that provides a platform for monitoring and collecting data from a variety of sources…”
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    Conference Proceeding
  4. 4

    Avoidance of Multi-Machine System Unified Power Flow Controller Transient by G, Sindhu Madhuri, Agarwal, Mayur

    “…A senior member of the flexible AC transmission systems is the unified power flow controller (UPFC). The focus of this research is on the UPFC's consistent…”
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    Conference Proceeding
  5. 5

    The Smart Development with Dynamic Recollection Adaptive Loom for Frequent Pattern Monitoring in Large Scale Databases by Sindhu Madhuri, G, Mahesh, TR

    “…The Dynamic Recollection Adaptive Loom (DRAL) is a groundbreaking technology that provides real-time monitoring and analysis of frequent patterns in data…”
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    Conference Proceeding
  6. 6

    An Energy Efficient Artificial Intelligence Based Innovation Detection for Complex Data Communication Model by Arvind, K. S, Sindhu Madhuri, G

    “…The Artificial Intelligence (AI) based innovation detection model for complex data communication model is a revolutionary approach to identifying and…”
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    Conference Proceeding
  7. 7

    Intelligent Systems for Medical Diagnostics with the Detection of Diabetic Retinopathy at Reduced Entropy by G, Sindhu Madhuri, D, Somashekhara Reddy, R, Mahesh T, Rajan, T, K, Vanitha, K, Shashikala H

    “…Diabetes Mellitus (DM) is primarily defined by hyperglycemia, polyuria, and polyphagia and as a result of a complex interaction of hereditary and environmental…”
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    Conference Proceeding
  8. 8

    Prediction of Task Execution Time in Cloud Computing by C, Saravanan, T R, Mahesh, V, Vivek, G, Sindhu Madhuri, H K, Shashikala, Z, Tanveer Baig

    “…Now-a-days all cloud service providers are providing all resources to end users at very cheap rate and at the same time by designing scheduling algorithms…”
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    Conference Proceeding
  9. 9

    Image registration quality assessment with similarity measures - A research study by Madhuri, G. Sindhu, Indra Gandhi, M. P.

    “…Image registration has evolved independently, and occupied many research areas starting from underwater to earth to space. Selecting a most suitable similarity…”
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    Conference Proceeding
  10. 10

    Prediction of Crop Yield Based-on Soil Moisture using Machine Learning Algorithms by G, Sindhu Madhuri, Paudel, Sameer, Nakarmi, Riyaz, Giri, Prashant, Karki, Shantanu Bahadur

    “…Agriculture planning is playing an important role as the economic growth is very high day by day in our daily life. There is lot of research study going on as…”
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    Conference Proceeding
  11. 11

    Detection of AI Empathy Using Deep Learning by Vinay, Namburi Venkat, Kumar, Charugulla Santhosh, Asipalli, Jayanth, Mouli, Metturu, Sindhu Madhuri, G.

    “…Deep learning enables the learning of detailed representations of emotions and facial expressions that can be challenging to recognize using conventional…”
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    Conference Proceeding
  12. 12

    Early Detection of Spondylosis using Point-Based Image Processing Techniques by Shashikala, H K, Mahesh, T R, Vivek, V, Sindhu, Madhuri G, Saravanan, C, Baig, Tanveer Z

    “…Cervical Spondylosis (CS) is one of the most common chronic serious bone diseases that mainly affects patient's health and leads to human death also. It…”
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    Conference Proceeding
  13. 13

    MLPDR: High Performance ML Algorithms for the Prediction of Diabetes Retinopathy by Madhuri G, Sindhu, Chokkanathan, K, T R, Mahesh, Musthafa, M.Mohamed, K, Vanitha, V, Vivek

    “…In today's world, millions of imaging analyses are performed every week, and medical imaging plays a significant role in that. It is a process of creating…”
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    Conference Proceeding
  14. 14

    Detection of Plant Leaf-based Diseases Using Machine Learning Approach by Chaitanya Reddy, P., Chandra, Rachakulla Mahesh Sarat, Vadiraj, P, Ayyappa Reddy, M., Mahesh, T R, Sindhu Madhuri, G

    “…Agriculture productivity is increasing day-by-day based on recent advances and research growth in technology. Detection of plant leaf-based diseases and for…”
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    Conference Proceeding
  15. 15
  16. 16

    Analysis of Medical Images using Image Registration Feature-based Segmentation Techniques by G, Sindhu Madhuri, K, Shashikala H.

    “…Image Segmentation is one of the very important optimistic and emerging fields in all image processing applications. It has a wide range of applications like…”
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    Conference Proceeding
  17. 17

    Research on Efficient Software Defect Prediction Using Deep Learning Approaches by Razauddin, Madhuri G, Sindhu, Oberoi, Ashish, Vats, Aman, Sivasangari, A., Siwach, Kuldeep

    “…Software Defect prediction results provide a list of source code artifacts that are prone to defects. Quality assurance teams can effectively devote more…”
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    Conference Proceeding
  18. 18

    Text Extraction and Detection from Images using Machine Learning Techniques: A Research Review by Surana, Shivani, Pathak, Komal, Gagnani, Mehul, Shrivastava, Vidhan, R, Mahesh T, Madhuri G, Sindhu

    “…Machine Learning is subset of Artificial Intelligence and there is lots of research growth across the world. It has capability to learn by its own without…”
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    Conference Proceeding
  19. 19

    Early Stage Detection of Scoliosis Using Machine Learning Algorithms by Shrestha, Pratik, Singh, Aachal, Garg, Riya, Sarraf, Ishika, Mahesh, T R, Sindhu Madhuri, G

    “…Scoliosis is the most common disease which is mainly identified from patient spine X-ray images. It is mainly diagnosed based on sideways curvature image…”
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    Conference Proceeding
  20. 20

    Image registration with similarity measures using correlation techniques - A research study by Madhuri, G. Sindhu, Gandhi, M. P. Indra

    “…Image Registration is a complex process which has gained lots of importance and is at the forefront of digital image processing due to its unique and…”
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    Conference Proceeding Journal Article