Search Results - "Thinakaran, K."

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  1. 1

    Object Detection Algorithm Based on Multi-Scaled Convolutional Neural Networks by Nandhini, T J, Thinakaran, K

    “…Object detection algorithms must first identify all the objects inside an image before machine vision can properly categorize and localize them. Many methods…”
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    Conference Proceeding
  2. 2

    Optimizing Forensic Investigation and Security Surveillance with Deep Reinforcement Learning Techniques by Nandhini, T J, Thinakaran, K

    “…Deep Reinforcement Learning (DRL) has emerged as a useful method for improving both accuracy and efficiency in advanced forensic analysis and security…”
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    Conference Proceeding
  3. 3

    Analysis of student's knowledge using innovative classification and comparison of prediction accuracy with regression algorithm by Deepak, Kasumurthy, Thinakaran, K.

    “…To predict the student's performance accurately using the Classification algorithm and to compare the prediction accuracy with the Regression algorithm. The…”
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    Conference Proceeding
  4. 4

    A Robust Framework for Traffic Object Detection using Intelligent Techniques by Nandhini, T J, Thinakaran, K

    “…Object identirication is a method for pinpointing the exact position of particular items in still or moving visual media. The fields of machine learning and…”
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    Conference Proceeding
  5. 5

    An Improved Crime Scene Detection System Based on Convolutional Neural Networks and Video Surveillance by Nandhini, T J, Thinakaran, K

    “…Since criminals may engage in a wide variety of crime scenes in public spaces, the time immediately before and after these events must be monitored. As a rule,…”
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    Conference Proceeding
  6. 6

    SIFT algorithm-based Object detection and tracking in the video image by Nandhini, T J, Thinakaran, K

    “…Recently, it's been a breeze to snap photos of high quality and good size, thanks to the widespread availability of low-cost but technologically advanced…”
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    Conference Proceeding
  7. 7

    Laparoscopic management of appendicular mass by Shindholimath, Vishwanath V, Thinakaran, K, Rao, T. Narayana, Veerappa, Yenni Veerabhadrappa

    Published in Journal of minimal access surgery (01-04-2011)
    “…Background: Laparoscopic appendectomy is becoming the preferred technique for treating acute appendicitis. However, its role in the treatment of complicated…”
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    Journal Article
  8. 8

    Determining Accuracy in Classifying Handwritten Digit Recognition using Support Vector Machine with Freeman Chain Code over K-nearest neighbor by S, Shaheen Fathima, Thinakaran, K

    “…The objective of this research project was to distinguish handwritten digits using the Support Vector (SVM) with Freeman chain code, and subsequently, to…”
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    Conference Proceeding
  9. 9

    Leveraging Temporal Patterns with LSTMs Networks for Financial Forecasting: A New Stastical Machine Learning Approach by K, Thinakaran, Soman, Sandhya, Anitha, L., Lakineni, Prasanna Kumar, V, Dilli Ganesh, Taqui, Syed Noeman

    “…The intricate temporal patterns observed in financial markets might have an impact on market outlook and trading decisions. The challenge of effectively…”
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    Conference Proceeding
  10. 10

    Deep Neural Network-based Crime Scene Detection with Frames by J, Nandhini T, Thinakaran, K

    “…The field of computer vision stands to benefit significantly from automated crime scene detection. In this work, we demonstrate the application of DNN (Deep…”
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    Conference Proceeding
  11. 11

    Detection of Crime Scene Objects using Deep Learning Techniques by J, Nandhini T, Thinakaran, K

    “…Research on the detection of objects at crime scenes has flourished in the last two decades. Researchers have been concentrating on color pictures, where…”
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    Conference Proceeding
  12. 12

    Novel Software Effort Estimation Method using Naive Bayes Technique by Reddy, S Harsha Vardhan, Thinakaran, K

    “…Predict the effort needed to make the product with help of support vector machine and manipulating prediction accuracy with Naive Bayes. Support Vector Machine…”
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    Conference Proceeding
  13. 13

    Predicting Hand Injury Severity Using Bayesian Networks in Cloud-Based Emergency Medicine by Yuvaraj, S, Thinakaran, K., Srinivas, S Porandla, Sivakumar, S., Ishwarya, M.V, Thirumaraiselvan, P.

    “…Predicting the severity of hand injuries in emergency care is the focus of this study, which suggests using cloud-based Bayesian networks. It is crucial to…”
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    Conference Proceeding
  14. 14

    Integrating Decision Trees with Cloud Computing for Predicting Cognitive Decline in Alzheimer's Patients by Meenakshi, K., Ravinder, Bathini, Pasha, Mohammed Rehaman, Thinakaran, K., Jayanayudu, Dabbara, Maniraj, S.P.

    “…The proposed research work suggests a combined technique based on decision trees and cloud computing for predicting cognitive decline in Alzheimer's patients…”
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    Conference Proceeding
  15. 15

    Healthcare Bots for Elderly Assistance Using Cloud-Driven Gradient Boosting Machines by Sudha Juliet, P., Sivakumar, S., Thinakaran, K., Srinivas, Porandla, Thamizhamuthu, R., Velmurugan, S.

    “…As the world's population ages, there will be a greater need for creative methods to help the elderly maintain their independence and quality of life at home…”
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    Conference Proceeding
  16. 16

    IoT-Enabled Sleep Monitoring Wearables: Advancements in Tracking and Analysis by Thinakaran, K., Baskar, V. Vijaya, Shariff, M. Ahsan, Chervith, Manduva, Raghavendra, G., Velmurugan, S.

    “…The importance of sleep to a person's health and well-being cannot be overstated. Sleep monitoring and analysis control has been transformed by the combination…”
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    Conference Proceeding
  17. 17

    Hybrid System with Modified Cuckoo Search to Design Airfoil by Thinakaran, K., Anand, M., Kumar, T.Rajesh, Atham, Saira Banu, Subramanian, K.M.

    “…The proposed models can design the airfoil by Cuckoo search with Levenberg-Marquardt. The Neural Network framework has impediments due to over-fitting. This…”
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    Conference Proceeding
  18. 18

    A Novel Direction-Based Routing Approach for Underwater Wireless Sensor Networks by Alagu, S., Santhi, K., Thinakaran, K., Narayanasamy, Kanagaraj, Pandimurugan, V, Kumar, Sathish L

    “…Submarine Wireless Sensor Networks (WSNs) or Under Water Sensor Networks (UWSNs) can exploit natural undersea infrastructure and collect science in watery…”
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    Conference Proceeding
  19. 19

    AlexNet approach for early stage Alzheimer’s disease detection from MRI brain images by Sathish Kumar, L., Hariharasitaraman, S., Narayanasamy, Kanagaraj, Thinakaran, K., Mahalakshmi, J., Pandimurugan, V.

    Published in Materials today : proceedings (01-01-2022)
    “…Alzheimer's is a neurodegenerative disorder that affects the brain and cognitive function. Early finding of Alzheimer's disorder of the beginning stages it…”
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    Journal Article
  20. 20

    Deep Learning Technique for Dermoscopy Image Processing Model for Early Melanoma Detection by Gopikrishna, V, Thinakaran, K

    “…The impact of melano ma has grown over the past three decades, making early detection more important for reducing mortality rates. In light of this, a…”
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    Conference Proceeding