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Computer Science

D-Index
45
Citations
13970
World Ranking
7028
National Ranking
72

Overview

K. P. Soman is affiliated with Amrita Vishwa Vidyapeetham University in India. Their research spans multiple fields, primarily in Computer Science and Medicine, with significant contributions in Artificial Intelligence, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, and Neurology.

The scientist has authored numerous papers on a variety of specialized topics. The main research themes include:

  • EEG and Brain-Computer Interfaces
  • ECG Monitoring and Analysis
  • Network Security and Intrusion Detection
  • Spam and Phishing Detection
  • Phonocardiography and Auscultation Techniques
  • Brain Tumor Detection and Classification
  • COVID-19 diagnosis using AI

Recent published works from K. P. Soman cover diverse applied research areas. These include:

  • "A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities" (2020) in IEEE Transactions on Industry Applications
  • "Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram" (2021) in IEEE Transactions on Engineering Management
  • "Deep learning-based approach for multi-stage diagnosis of Alzheimer's disease" (2023) in Multimedia Tools and Applications
  • "Explainable artificial intelligence for heart rate variability in ECG signal" (2020) in Healthcare Technology Letters
  • "Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures" (2023) in Engineering Applications of Artificial Intelligence

They often collaborate with a consistent group of coauthors, including V. Sowmya, Vinayakumar Ravi, Gopalakrishnan E. A, S. Sachin Kumar, and Mamoun Alazab.

K. P. Soman publishes frequently in several key venues such as arXiv (Cornell University), Multimedia Tools and Applications, IEEE Transactions on Industry Applications, IEEE Transactions on Engineering Management, and Engineering Applications of Artificial Intelligence.

Best Publications

  • Deep Learning Approach for Intelligent Intrusion Detection System

    R. Vinayakumar;Mamoun Alazab;K. P. Soman;Prabaharan Poornachandran

  • Stock price prediction using LSTM, RNN and CNN-sliding window model

    Sreelekshmy Selvin;R Vinayakumar;E. A Gopalakrishnan;Vijay Krishna Menon

  • NSE Stock Market Prediction Using Deep-Learning Models

    Hiransha M;E A Gopalakrishnan;Vijay Krishna Menon;K P Soman

  • Applying convolutional neural network for network intrusion detection

    R Vinayakumar;K P Soman;Prabaharan Poornachandran

  • Robust Intelligent Malware Detection Using Deep Learning

    R. Vinayakumar;Mamoun Alazab;K. P. Soman;Prabaharan Poornachandran

  • A novel method for detecting R-peaks in electrocardiogram (ECG) signal

    M.Sabarimalai Manikandan;K.P. Soman

  • Diabetes detection using deep learning algorithms

    G Swapna;R Vinayakumar;K P Soman

  • A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model

    Neethu Mohan;K.P. Soman;S. Sachin Kumar

  • Implementation and Comparative Study of Image Fusion Algorithms

    Shivsubramani Krishnamoorthy;K P Soman

  • Applying deep learning approaches for network traffic prediction

    R Vinayakumar;K. P. Soman;Prabaharan Poornachandran

  • Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security

    Vigneswaran K Rahul;R Vinayakumar;KP Soman;Prabaharan Poornachandran

  • Detecting Android malware using Long Short-term Memory (LSTM)

    R. Vinayakumar;K.P. Soman;Prabaharan Poornachandran;S. Sachin Kumar

  • Image Classification Using Convolutional Neural Networks

    Deepika Jaswal;Sowmya;K.P. Soman

  • Apache Spark a Big Data Analytics Platform for Smart Grid

    R Shyam;H B Bharathi Ganesh;S Sachin Kumar;Prabaharan Poornachandran

  • Performance Comparison of Variational Mode Decomposition over Empirical Wavelet Transform for the Classification of Power Quality Disturbances Using Support Vector Machine

    C. Aneesh;Sachin Kumar;P.M. Hisham;K.P. Soman

  • Detection of Hate Speech Text in Hindi-English Code-mixed Data

    K Sreelakshmi;B Premjith;K.P. Soman

  • Detecting malicious domain names using deep learning approaches at scale

    R. Vinayakumar;K.P. Soman;Prabaharan Poornachandran

  • Evaluating shallow and deep networks for ransomware detection and classification

    R. Vinayakumar;K P Soman;K. K. Senthil Velan;Shaunak Ganorkar

  • Evaluating deep learning approaches to characterize and classify malicious URL’s

    R. Vinayakumar;K.P. Soman;Prabaharan Poornachandran

  • An Efficient R-peak Detection Based on New Nonlinear Transformation and First-Order Gaussian Differentiator

    P. Kathirvel;M. Sabarimalai Manikandan;S. R. M. Prasanna;K. P. Soman

  • Deep power: Deep learning architectures for power quality disturbances classification

    Neethu Mohan;K. P. Soman;R. Vinayakumar

Frequent Co-Authors

Mamoun Alazab
Mamoun Alazab Charles Darwin University
Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah
Alireza Jolfaei
Alireza Jolfaei Flinders University
K. I. Ramachandran
K. I. Ramachandran Amrita Vishwa Vidyapeetham University

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