Search Results - "Soman, P"

Refine Results
  1. 1

    Deep Learning Approach for Intelligent Intrusion Detection System by Vinayakumar, R., Alazab, Mamoun, Soman, K. P., Poornachandran, Prabaharan, Al-Nemrat, Ameer, Venkatraman, Sitalakshmi

    Published in IEEE access (2019)
    “…Machine learning techniques are being widely used to develop an intrusion detection system (IDS) for detecting and classifying cyberattacks at the…”
    Get full text
    Journal Article
  2. 2

    Robust Intelligent Malware Detection Using Deep Learning by Vinayakumar, R., Alazab, Mamoun, Soman, K. P., Poornachandran, Prabaharan, Venkatraman, Sitalakshmi

    Published in IEEE access (2019)
    “…Security breaches due to attacks by malicious software (malware) continue to escalate posing a major security concern in this digital age. With many computer…”
    Get full text
    Journal Article
  3. 3

    Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram by M., Ganeshkumar, Ravi, Vinayakumar, V, Sowmya, E.A, Gopalakrishnan, K.P, Soman

    “…Recently computer-aided diagnosis methods have been widely adopted to aid doctors in disease diagnosis making their decisions more reliable and error-free…”
    Get full text
    Journal Article
  4. 4

    Dynamic Mode Decomposition based salient edge/region features for content based image retrieval by Sikha O, K, Soman K, P

    Published in Multimedia tools and applications (01-04-2021)
    “…Considering the gap between low-level image features and high-level retrieval concept, this paper investigates the effect of incorporating visual saliency…”
    Get full text
    Journal Article
  5. 5

    Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images by Prakash, J. Arun, Ravi, Vinayakumar, Sowmya, V., Soman, K. P.

    Published in Neural computing & applications (01-04-2023)
    “…Pneumonia is an acute respiratory infection caused by bacteria, viruses, or fungi and has become very common in children ranging from 1 to 5 years of age…”
    Get full text
    Journal Article
  6. 6

    Detection of Hate Speech and Offensive Language CodeMix Text in Dravidian Languages Using Cost-Sensitive Learning Approach by Sreelakshmi, K., Premjith, B., Chakravarthi, Bharathi Raja, Soman, K. P.

    Published in IEEE access (2024)
    “…Recently, the emergence of social media has opened the way for online harassment in the form of hate speech and offensive language. An automated approach is…”
    Get full text
    Journal Article
  7. 7

    Expression of barrier proteins in the skin lesions and inflammatory cytokines in peripheral blood mononuclear cells of atopic dogs by Kanwal, Sarita, Singh, Shanker K., Soman, Sandeep P., Choudhury, Soumen, Kumari, Priyambada, Ram, Pradeep K., Garg, Satish K.

    Published in Scientific reports (01-06-2021)
    “…Atopic dermatitis (AD) is one of the most common skin diseases of dogs. Defects in the skin barrier and overproduction of inflammatory cytokines may be the…”
    Get full text
    Journal Article
  8. 8

    Impact of scar burden by single-photon emission computed tomography myocardial perfusion imaging on patient outcomes following cardiac resynchronization therapy by ADELSTEIN, Evan C, TANAKA, Hidekazu, SOMAN, Prem, MISKE, Glen, HABERMAN, Stephanie C, SABA, Samir F, GORCSAN, John

    Published in European heart journal (01-01-2011)
    “…Ischaemic heart disease negatively impacts response to cardiac resynchronization therapy (CRT), yet the impact of infarct scar burden on clinical outcomes and…”
    Get full text
    Journal Article
  9. 9

    Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning by Ravi, Vinayakumar, Alazab, Mamoun, Srinivasan, Sriram, Arunachalam, Ajay, Soman, K. P.

    “…Cybercriminals use domain generation algorithms (DGAs) to prevent their servers from being potentially blacklisted or shut down. Existing reverse engineering…”
    Get full text
    Journal Article
  10. 10

    Significance of processing chrominance information for scene classification: a review by Sowmya, V., Govind, D., Soman, K. P.

    Published in The Artificial intelligence review (01-02-2020)
    “…The primary objective of this paper is to provide a detailed review of various works showing the role of processing chrominance information for…”
    Get full text
    Journal Article
  11. 11

    Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures by Arun Prakash, J, Asswin, CR, Ravi, Vinayakumar, Sowmya, V, Soman, KP

    Published in Multimedia tools and applications (01-06-2023)
    “…Pediatric pneumonia has drawn immense awareness due to the high mortality rates over recent years. The acute respiratory infection caused by bacteria, viruses,…”
    Get full text
    Journal Article
  12. 12

    A Non-exclusive Multi-class Convolutional Neural Network for the Classification of Functional Requirements in AUTOSAR Software Requirement Specification text by Jp, Sanjanasri, Menon, Vijay Krishna, Kp, Soman, Atul, Kr.Ojha

    Published in IEEE access (2022)
    “…Software Requirement Specification (SRS) describes a software system to be developed that captures the functional, non-functional, and technical aspects of the…”
    Get full text
    Journal Article
  13. 13

    A data-driven hybrid methodology using randomized low-rank DMD approximation and flat-top FIR filter for voltage fluctuations monitoring in grid-connected distributed generation systems by Mohan, Neethu, Sachin Kumar, S, Soman, K P, Sujadevi, V G, Poornachandran, Prabaharan, Rajendra Acharya, U

    Published in IEEE access (01-01-2023)
    “…The voltage fluctuations are caused by variations in renewable energy source outputs, increased usage of nonlinear loads, high reactive power consumption of…”
    Get full text
    Journal Article
  14. 14

    MULTIPLE OIL PAD DETECTION USING DEEP LEARNING by Giri, A., Sajith Variyar, V. V., Sowmya, V., Sivanpillai, R., Soman, K. P.

    “…Deep learning (DL) algorithms are widely used in object detection such as roads, vehicles, buildings, etc., in aerial images. However, the object detection…”
    Get full text
    Journal Article Conference Proceeding
  15. 15

    INFLUENCE OF ADDITIONAL SPECTRAL BANDS FOR EPIPHYTE SEGMENTATION ON DRU-NET by Menon, A. K., Sajith Variyar, V. V., Sivanpillai, R., Sowmya, V., Brown, G. K., Soman, K. P.

    “…Dense Residual U-Net (DRU-Net) is a neural network used for image segmentation. It is based on the U-Net architecture and isa combination of modified ResNet as…”
    Get full text
    Journal Article Conference Proceeding
  16. 16

    A hybrid method for fundamental heart sound segmentation using group-sparsity denoising and variational mode decomposition by Sujadevi, V. G., Mohan, Neethu, Sachin Kumar, S., Akshay, S., Soman, K. P.

    Published in Biomedical engineering letters (01-11-2019)
    “…Segmentation of fundamental heart sounds–S1 and S2 is important for automated monitoring of cardiac activity including diagnosis of the heart diseases. This…”
    Get full text
    Journal Article
  17. 17
  18. 18

    IDENTIFYING EPIPHYTES IN DRONES PHOTOS WITH A CONDITIONAL GENERATIVE ADVERSARIAL NETWORK (C-GAN) by Shashank, A., Sajithvariyar, V. V., Sowmya, V., Soman, K. P., Sivanpillai, R., Brown, G. K.

    “…Unmanned Aerial Vehicle (UAV) missions often collect large volumes of imagery data. However, not all images will have useful information, or be of sufficient…”
    Get full text
    Journal Article Conference Proceeding
  19. 19

    An Overview of the Shared Task on Machine Translation in Indian Languages (MTIL) – 2017 by Kumar M. Anand, Premjith B., Singh Shivkaran, Rajendran S., Soman K. P.

    Published in Journal of intelligent systems (01-07-2019)
    “…In recent years, the multilingual content over the internet has grown exponentially together with the evolution of the internet. The usage of multilingual…”
    Get full text
    Journal Article
  20. 20

    IDENTIFYING OIL PADS IN HIGH SPATIAL RESOLUTION AERIAL IMAGES USING FASTER R-CNN by Sunil, A., Sajithvariyar, V. V., Sowmya, V., Sivanpillai, R., Soman, K. P.

    “…Deep learning (DL) methods are used for identifying objects in aerial and ground-based images. Detecting vehicles, roads, buildings, and crops are examples of…”
    Get full text
    Journal Article Conference Proceeding